Package 'biogas'

Calculate Biogas Production from Gas Density Data (GD-BMP)

Description

calcBgGD (for calculate biogas from GD (gas density) measurements) calculates cumulative biogas, methane production and production rates from mass loss and volume measurements for any number of bottles.

Usage

calcBgGD(
  # Main arguments
  dat, 
  temp.vol,
  temp.grav,
  pres.vol,
  pres.grav,
  # Column names
  id.name, 
  time.name, 
  vol.name,
  m.pre.name = NULL,
  m.post.name,
  comp.name = 'xCH4',       
  # Settings
  vented.mass = FALSE,
  averaging = 'final',  
  temp.init = NULL,       
  pres.init = NULL,      
  headspace = NULL,     
  vol.hs.name = NULL,  
  headcomp = 'N2',    
  # Calculation method and other settings
  vmethod = 'vol',   
  comp.lim = c(0, 1), 
  comp.sub = NA,     
  imethod = 'linear',
  extrap = FALSE,
  addt0 = TRUE,
  showt0 = TRUE,
  dry = FALSE,
  # Warnings and messages
  std.message = TRUE,
  check = TRUE,
  # Units and standard conditions
  temp.std = getOption('temp.std', as.numeric(NA)),
  pres.std = getOption('pres.std', as.numeric(NA)),
  unit.temp = getOption('unit.temp', 'C'),
  unit.pres = getOption('unit.pres', 'atm')
  )

Arguments

dat	a data frame with bottle identification code, time of measurement (as numeric, or POSIX), bottle mass, and measured biogas volume. See Details section for details on units. Additional columns can be present–these will be returned in the output data frame.
temp.vol	temperature at which biogas volume was measured.
temp.grav	temperature of bottle headspace at time of biogas venting, prior to gravimetric measurement.
pres.vol	pressure at which biogas volume was measured.
pres.grav	pressure of bottle headspace at time of biogas venting, prior to gravimetric measurement.
id.name	name of the bottle identification code column in dat. Must be the same in all data frames used in the function.
time.name	name of column containing time data (cumulative time) in dat.
vol.name	name of the measured biogas volume column in dat.
m.pre.name	name of column containing pre-venting bottle mass in dat data frame. Optional, required for vented.mass = TRUE and to calculate leakage.
m.post.name	name of column containing post-venting bottle mass in dat data frame. See details.
comp.name	name of column with biogas composition to be added to output data frame.
vented.mass	Set to TRUE to use vented mass loss (GD_v method) instead of total mass loss (GD_t method) in calculations. See details.
averaging	type of averaging used for calculating biogas composition. Default is final. See details.
temp.init	optional initial headspace temperature. Used to correct results for initial headspace. See details.
pres.init	optional initial headspace pressure. Used to correct results for initial headspace. See details.
headspace	optional data frame or length-one numeric vector with reactor headspace volume(s). If a data frame is used, it should at least contain a "id" (reactor identification code) column (see "id.name") and headspace volume column (see vol.hs.name argument). Required if cmethod = "total". Default is NULL.
vol.hs.name	optional name of column containing headspace volume data in optional headspace data frame.
headcomp	optional initial headspace composition used to correct results for initial headspace. Default of "N2" is only logical value.
vmethod	method used for calculating biogas volume. Default of 'vol' is based on measured biogas volume in vol.name column. Alternative is 'grav' for gravimetric method, which should be used with vented.mass = TRUE.
comp.lim	acceptable limits on calculated methane mole fraction. Any values outside of this range are set to comp.sub. Default of c(0, 1). Length two vector.
comp.sub	Value substituted in for calculated methane mole fraction when calculated value is outside of comp.lim range. Length one vector. Default value of NA should generally never be changed.
imethod	method used for interpolation of xCH4. This is passed as the method argument to interp. Length one character vector. Default is "linear" for linear interpolation.
extrap	should comp.name be extrapolated? Length one logical vector. This is passed as the extrap argument to interp. Default is FALSE.
addt0	is the earliest time in dat data frame “time zero” (start time)? If not, this argument adds a row with time.name = 0 for each reactor in order to calculate production rates for the first observation. This addition is only made when time.name is numeric (or integer). Length-one logical vector. Default is TRUE. To return these additional rows in the output, see showt0.
showt0	should “time zero” rows be returned in the output? Can be convenient for plotting cumulative volumes. Only applies if time.name is numeric (or integer). These rows may have been present in the original data (dat) or added by the function (see addt0). Default value depends on dat time.name column content. If time.name column is numeric and contains 0 then the default value is TRUE and otherwise FALSE.
dry	set to TRUE if volume data are standardized to dry conditions. The default (FALSE) means biogas is assumed to be saturated with water vapor.
std.message	should a message with the standard conditions be displayed? Default is TRUE.
check	should input data be checked for unreasonable values (with warnings)? Currently only composition values are checked. Default is TRUE. Values are changed if outside 0, 1 (divided by 100).
temp.std	standard temperature for presentation of biogas and methane results. Length one numeric vector. Default value is 0 degrees C (set in stdVol). Argument is passed to stdVol.
pres.std	standard pressure for presentation of biogas and methane results. Length one numeric vector. Default value is 1.0 atm (101325 Pa) (set in stdVol). Argument is passed to stdVol.
unit.temp	temperature units for temp and temp.std arguments. Default is "C" for degrees Celcius. Argument is passed to stdVol.
unit.pres	pressure units for pres and pres.std arguments. Default is "atm". Argument is passed to stdVol.

Details

Using volume and mass loss data from dat, this function will calculate standardized biogas and methane production for each observation using the gas density (GD) method. See reference below for details on the method.

Standard values and units for temperature and pressure can be globally set using the function options. See stdVol.

Value

a data frame with all the columns originally present in dat, plus others including these:

vBg	Standardized volume of biogas production for individual event.
xCH4	Calculated mole fraction of methane in biogas.
vCH4	Standardized volume of methane production for individual event.
cvBg	Standardized cumulative volume of biogas production.
cvCH4	Standardized cumulative volume of methane production.
rvBg	Production rate of biogas.
rvCH4	Production rate of methane.

Units are based on units in input data.

Author(s)

Sasha D. Hafner, Camilla Justesen, Jacob Mortensen

References

Justesen, C.G., Astals, S., Mortensen, J.R., Thorsen, R., Koch, K., Weinrich, S., Triolo, J.M., Hafner, S.D. 2019. Development and validation of a low-cost gas density method for measuring biochemical potential (BMP) Water (MDPI) 11(12): 2431.

See Also

calcBgMan, calcBgVol, summBg, interp, stdVol, options

Examples

data("UQGDBiogas")
data("UQGDSetup")

head(UQGDBiogas)
head(UQGDSetup)

cbg <- calcBgGD(UQGDBiogas,
                temp.vol = 20, pres.vol = 1013.25,
                temp.grav = 30, pres.grav = 1500,
                id.name = 'id', vol.name = 'vol',
                m.pre.name = 'mass.init', m.post.name = 'mass.final',
                time.name = 'time.d', unit.pres = 'mbar')


BMP <- summBg(cbg, UQGDSetup, id.name = "id",
              time.name = 'time.d', descrip.name = 'descrip',
              inoc.name = "Inoculum", inoc.m.name = "m.inoc", norm.name = "m.sub.vs",
              when = 'end')

BMP

---

Calculate Biogas Production from Gravimetric Data

Description

calcBgGrav calculates cumulative biogas, methane production and production rates from mass loss (gravimetric measurements) and volume measurements for any number of bottles.

Usage

calcBgGrav(
  # Main arguments
  dat,
  comp = NULL,              
  temp = NULL,
  pres = NULL,
  data.struct = 'longcombo',
  id.name = 'id',
  time.name = 'time',
  mass.name,    
  xCH4.name = 'xCH4', 
  xCO2.name = NULL,   
  xN2.name = NULL,    
  headspace = NULL,  
  vol.hs.name = 'vol.hs',
  temp.init = NULL, 
  pres.init = NULL,
  pres.resid = NULL, 
  headcomp = 'N2',  
  cmethod = 'removed',
  imethod = 'linear',
  extrap = FALSE,
  addt0 = TRUE,
  showt0 = TRUE,
  std.message = !quiet,
  check = TRUE,
  temp.std = getOption('temp.std', as.numeric(NA)),
  pres.std = getOption('pres.std', as.numeric(NA)),
  unit.temp = getOption('unit.temp', 'C'),
  unit.pres = getOption('unit.pres', 'atm'),
  quiet = FALSE
  )

Arguments

dat	a data frame with at least bottle identification code, time of measurement (as numeric, or POSIX), and bottle mass. Structure depends on data.struct argument. Additional columns can be present–these will be returned in the output data frame.
comp	(optional) a data frame with the columns bottle identification code; time of measurement, (as numeric, or POSIX); and methane concentration within dry biogas as a mole fraction, considering only methane and carbon dioxide (unless cmethod = "total") or a single numeric value. The names of these columns are specified with id.name, time.name, and xCH4.name. Default is NULL.
temp	the temperature of biogas just prior to venting. A length-one numeric vector. Degrees Celcius by default (see unit.temp argument).
pres	the absolute pressure of biogas prior to venting. A length-one numeric vector or a character vector giving the name of the column in dat with the pressure measurements. Atmospheres by default (see unit.pres argument).
data.struct	the structure of input data. The default of 'longcombo' means bottle mass and biogas composition (if available) are both in dat. The dat data frame must have bottle identification code and time columns with names specified with id.name and time.name, mass data in a single column with the name specified by mass.name, and biogas composition in a single column with the name specified by comp.name For the data.struct = 'long' option, two separate data frames are needed, one for mass and one for composition (if available). Each data frame must have bottle identification code and time columns with names specified with id.name and time.name. The dat data frame must have mass data in a single column with the name specified by mass.name. The comp data frame must have biogas composition in a single column with the name specified by comp.name. For the data.struct = 'wide' option, two separate data frames are needed as in 'long', but there are no bottle identification code columns. Instead, in dat, mass data are in a separate column for each bottle, and column names are bottle identification codes. Here, mass.name should be the name of the first column with mass data. All following columns are assumed to also have mass data. And in comp, biogas composition data are also in a separate column for each bottle, also with bottle identification codes for column names. Here, comp.name should be the name of the first column with biogas composition data, as for dat.
id.name	name of the bottle identification code column in dat. Must be the same in all data frames used in the function. Default is "id".
time.name	name of column containing time data in dat and comp data frames. Default is "time".
mass.name	name of column containing the primary response variable (bottle mass) in dat data frame.
xCH4.name	name of column containing biogas mole fraction of methane in comp data frame. Default is "xCH4". Must be normalised so xCH4 + xCO2 = 1.0 unless cmethod = "total".
xCO2.name	name of column containing biogas mole fraction of carbon dioxide in comp data frame. Only needed if cmethod = "total".
xN2.name	name of column containing biogas mole fraction of dinitrogen in comp data frame. Only needed if cmethod = "total".
headspace	(optional) a data frame or length-one numeric vector with bottle headspace volume(s). If a data frame is used, it should at least contain a id (bottle identification code) column (see id.name) and headspace volume column (see vol.hs.name argument). Default is NULL.
vol.hs.name	name of column containing headspace volume data in optional headspace data frame. Default is "vol.hs".
temp.init	the initial headspace temperature. Optional. A length-one numeric vector. Degrees Celcius by default (see unit.temp argument). Default is NULL, which suppresses correction for initial temperature.
pres.init	the initial headspace pressure. Optional. A length-one numeric vector. Atmospheres by default (see unit.pres argument). Default is NULL, which suppresses correction for initial pressure.
pres.resid	residual headspace pressure after venting. Optional. A length-one numeric vector. Atmospheres by default (see unit.pres argument). Default is NULL.
headcomp	initial headspace composition as a chemical formula. Optional, for correcting for change in headspace density. Mixtures accepted. Default is 'N2' for pure dinitrogen.
cmethod	method for calculating cumulative methane production. Use "removed" to base production on xCH4 and gas volumes removed (default). Use "total" to base it on the sum of methane removed and methane remaining in the bottle headspace. For "removed", xCH4 should be calculated based on methane and CO2 only (xCH4 + xCO2 = 1.0). For "total", xCH4 should be calculated including all biogas components (CH4, CO2, N2, H2S, etc.) except water. Length one character vector.
imethod	method used for interpolation of xCH4. This is passed as the method argument to interp. Length one character vector. Default is "linear" for linear interpolation.
extrap	should comp.name be extrapolated? Length one logical vector. This is passed as the extrap argument to interp. Default is FALSE.
addt0	is the earliest time in dat data frame “time zero” (start time)? If not, this argument adds a row with time.name = 0 for each bottle in order to calculate production rates for the first observation. This addition is only made when time.name is numeric (or integer). Length-one logical vector. Default is TRUE. To return these additional rows in the output, see showt0.
showt0	should “time zero” rows be returned in the output? Can be convenient for plotting cumulative volumes. Only applies if time.name is numeric (or integer). These rows may have been present in the original data (dat) or added by the function (see addt0). Default value depends on dat time.name column content. If time.name column is numeric and contains 0 then the default value is TRUE and otherwise FALSE.
std.message	should a message with the standard conditions be displayed? Default is TRUE.
check	should input data be checked for unreasonable values (with warnings)? Default is TRUE.
temp.std	standard temperature for presentation of biogas and methane results. Length one numeric vector. Default value is 0 degrees C (set in stdVol). Argument is passed to stdVol.
pres.std	standard pressure for presentation of biogas and methane results. Length one numeric vector. Default value is 1.0 atm (101325 Pa) (set in stdVol). Argument is passed to stdVol.
unit.temp	temperature units for temp and temp.std arguments. Default is "C". Argument is passed to stdVol.
unit.pres	pressure units for pres and pres.std arguments. Default is "atm". Argument is passed to stdVol.
quiet	use to suppress messages. Default is FALSE.

Details

Using mass loss data from dat and composition data from dat or comp, this function will calculate standardized biogas and methane production for each observation using a grvimetric method. See reference below for details on the method.

Standard values and units for temperature and pressure can be globally set using the function options. See stdVol.

Value

a data frame with all the columns originally present in dat, plus others including these:

vBg	Standardized volume of biogas production for individual event.
xCH4	Calculated mole fraction of methane in biogas.
vCH4	Standardized volume of methane production for individual event.
cvBg	Standardized cumulative volume of biogas production.
cvCH4	Standardized cumulative volume of methane production.
rvBg	Production rate of biogas.
rvCH4	Production rate of methane.

Units are based on units in input data.

Author(s)

Sasha D. Hafner

References

Hafner, S.D., Rennuit, C., Triolo, J.M., Richards, B.K. 2015. Validation of a simple gravimetric method for measuring biogas production in laboratory experiments. Biomass and Bioenergy 83, 297-301.

See Also

calcBgMan, calcBgVol, calcBgGD, summBg, interp, stdVol, options

Examples

# Combined data frame with mass and composition for \code{data.struct = 'longcombo'} (default).

data('UQGravBiogas')
data('UQGravSetup')

cbg <- calcBgGrav(UQGravBiogas, temp = 35, pres = 1.5,
                   id.name = 'id', time.name = 'day', 
		   mass.name = 'mass.final',
                   xCH4.name = 'xCH4')

head(cbg)

# With separate mass and composition data frames
data('strawMass')
data('strawComp')
data('strawSetup')

cbg0 <- calcBgGrav(strawMass,
                   comp = strawComp, temp = 35, pres = 1.5,
                   data.struct = 'long', id.name = 'bottle',
                   time.name = 'time', mass.name = 'mass',
                   xCH4.name = 'xCH4')
warnings()

cbg <- calcBgGrav(strawMass,
                  comp = strawComp, temp = 35, pres = 1.5,
                  data.struct = 'long', id.name = 'bottle',
                  time.name = 'time', mass.name = 'mass',
                  xCH4.name = 'xCH4', extrap = TRUE)

head(cbg)

---

Calculate Cumulative Biogas Production from Pressure Data

Description

calcBgMan (for cumulative biogas manometric) calculates cumulative biogas, methane production and production rates from individual pressure and composition measurements for any number of reactors.

Usage

calcBgMan(
  # Main arguments
  dat, comp = NULL, temp, interval = TRUE,
  data.struct = 'longcombo',
  # Column names 
  id.name = 'id', time.name = 'time',
  pres.name = 'pres', comp.name = NULL,
  # Additional arguments
  pres.resid = NULL, temp.init = NULL, pres.init = NULL,
  rh.resid = NULL,
  rh.resid.init = 1, headspace = NULL, 
  vol.hs.name = 'vol.hs',
  absolute = TRUE, pres.amb = NULL,
  # Calculation method and other settings
  cmethod = 'removed', imethod = 'linear', extrap = FALSE,
  addt0 = TRUE, showt0 = TRUE, 
  # Warnings and messages
  std.message = !quiet, 
  check = TRUE,
  # Units and standard conditions
  temp.std = getOption('temp.std', as.numeric(NA)), 
  pres.std = getOption('pres.std', as.numeric(NA)),
  unit.temp = getOption('unit.temp', 'C'),
  unit.pres = getOption('unit.pres', 'atm'),
  quiet = FALSE
  )

Arguments

dat	a data frame with reactor identification code; time of measurement (as numeric, or POSIX); and measured pressure in pres.unit. See Details section for details on units. Additional columns can be present–these will be returned in the output data frame. See data.struct argument for details on how data frames are structured.
comp	(optional) a data frame with the columns reactor identification code; time of measurement, (as numeric, or POSIX); and methane concentration within dry biogas as a mole fraction, considering only methane and carbon dioxide (unless cmethod = "total") or a single numeric value. If omitted, cumulative biogas volume will still be calculated and returned (but no methane data will be returned). The names of these columns are specified with id.name, time.name, and comp.name. Default is NULL.
temp	the temperature at which headspace pressure was measured. A length-one numeric vector or length-one character vector referring to a column in dat. Degrees Celcius by default (see unit.temp argument).
interval	do biogas pressure measurements represent production only from the time interval between observations (default)? interval = FALSE means measured pressure is cumulative. For mixed manometric measurements (some observations vented, some not), use interval = TRUE, include a column for pres.resid, and, if composition was only measured for vented observations, use imethod = "f1". Default is TRUE.
data.struct	the structure of input data. The default of 'longcombo' means headspace pressure and composition in a single column. The dat data frame must have reactor identification code and time columns with names specified with id.name and time.name, volume data in a single column with the name specified by pres.name, and biogas composition in a single column with the name specified by comp.name For the data.struct = 'long' option, two separate data frames are needed, one with volume and one with composition. Each data frame must have reactor identification code and time columns with names specified with id.name and time.name. The dat data frame must have volume data in a single column with the name specified by pres.name. The comp data frame must have biogas composition in a single column with the name specified by comp.name. For the data.struct = 'wide' option, two separate data frames are needed as in 'long', but there are no reactor identification code columns. Instead, in dat, volume data are in a separate column for each bottle, and column names are reactor identification codes. Here, pres.name should be the name of the first column with volume data. All following columns are assumed to also have volume data. And in comp, biogas composition data are also in a separate column for each bottle, also with reactor identification codes for column names. Here, comp.name should be the name of the first column with biogas composition data, as for dat.
id.name	name of the reactor identification code column in dat. Must be the same in all data frames used in the function. Default is "id".
time.name	name of column containing time data in dat and comp data frames. Default is "time".
pres.name	name of column containing the primary response variable (pressure) in dat data frame. Default is dat.type value. See dat.type argument.
comp.name	name of column containing biogas mole fraction of methane in comp data frame. Default is "xCH4". Must be normalised so xCH4 + xCO2 = 1.0 unless cmethod = "total".
pres.resid	headspace pressure after venting. Either a single numeric value, assumed to be the same for all observations, or the name of a column in dat that contains these values for each observation. Can be absolute (default) or gauge depending on the value of absolute. Length one numeric or character vector.
temp.init	initial headspace temperature in unit.temp units. Used to determine initial gas volume.
pres.init	headspace pressure at the begining of the experiment. Can be absolute (default) or gauge depending on the value of absolute. Length one numeric vector.
rh.resid	relative humidity of the gas in the headspace after venting. If NULL (default), it is calculated for each interval as the ratio of post- to pre-venting pressure (equivalent to assuming relative water vapor concentration (mixing ratio) is the same before and after venting. If entered, typically should be 1.0. Length one numeric vector.
rh.resid.init	relative humidity of the gas in the headspace at the begining of the experiment. Typically should be 1.0 (the default). Length one numeric vector.
headspace	(optional) a data frame or length-one numeric vector with reactor headspace volume(s). If a data frame is used, it should at least contain a "id" (reactor identification code) column (see "id.name") and headspace volume column (see vol.hs.name argument). Required if cmethod = "total". Default is NULL.
vol.hs.name	name of column containing headspace volume data in optional headspace data frame. Default is "vol.hs".
absolute	is the headspace pressure measured (pres.name and pres.resid values/columns) absolute or gauge pressure? Default is TRUE.
pres.amb	absolute ambient pressure needed to calculate absolute pressure from gauge pressure measurements. In atmospheres by default (see unit.pres argument). Only a single value is accepted. If ambient pressure differed among measurements, it is necessary to convert pressures to absolute values and use absolute = TRUE instead.
cmethod	method for calculating cumulative methane production. Use "removed" to base production on xCH4 and gas volumes removed (default). Use "total" to base it on the sum of methane removed and methane remaining in the reactor headspace. For "removed", xCH4 should be calculated based on methane and CO2 only (xCH4 + xCO2 = 1.0). For "total", xCH4 should be calculated including all biogas components (CH4, CO2, N2, H2S, etc.) except water. Length one character vector.
imethod	method used for interpolation of xCH4. This is passed as the method argument to interp. Length one character vector. Default is "linear" for linear interpolation.
extrap	should comp.name be extrapolated? Length one logical vector. This is passed as the extrap argument to interp. Default is FALSE.
addt0	is the earliest time in dat data frame “time zero” (start time)? If not, this argument adds a row with time.name = 0 for each reactor in order to calculate production rates for the first observation. This addition is only made when time.name is numeric (or integer). Length-one logical vector. Default is TRUE. To return these additional rows in the output, see showt0.
showt0	should “time zero” rows be returned in the output? Can be convenient for plotting cumulative volumes. Only applies if time.name is numeric (or integer). These rows may have been present in the original data (dat) or added by the function (see addt0). Default value depends on dat time.name column content. If time.name column is numeric and contains 0 then the default value is TRUE and otherwise FALSE.
std.message	should a message with the standard conditions be displayed? Default is TRUE.
check	should input data be checked for unreasonable values (with warnings)? Currently only composition values are checked. Default is TRUE. Values are changed if outside 0, 1 (divided by 100).
temp.std	standard temperature for presentation of biogas and methane results. Length one numeric vector. Default value is 0 degrees C (set in stdVol). Argument is passed to stdVol.
pres.std	standard pressure for presentation of biogas and methane results. Length one numeric vector. Default value is 1.0 atm (101325 Pa) (set in stdVol). Argument is passed to stdVol.
unit.temp	temperature units for temp and temp.std arguments. Default is "C". Argument is passed to stdVol.
unit.pres	pressure units for pres and pres.std arguments. Default is "atm". Argument is passed to stdVol.
quiet	use to suppress messages. Default is FALSE.

Details

Using pressure data from dat and gas composition from comp, this function will calculate standardised biogas and methane production (if comp is provided) for each observation, interpolating comp.name (from comp argument) to each time.name in dat if needed, and summing these for cumulative values. Inputs units are specified with unit.pres, and output volumes are the same as headspace volume, e.g., mL or L.

Biogas composition (comp.name column in comp) is specified as the mole fraction of methane in dry biogas, normalised so mole fractions of methane and carbon dioxide sum to unity (Richards et al. 1991). Alternatively, if cmethod is set to "total", biogas composition is the mole fraction of methane in dry biogas (include all the other gases except water).

Standard values and units for temperature and pressure can be globally set using the function options. See stdVol. To surpress volume correction to a “standard” temperature and pressure, leave temp as NULL (the default).

If check = TRUE, the input values of mole fraction of methane in biogas are checked, and a warning is returned if the are outside 0, 1.

See associated vignette (calcBgMan_function.Rnw) for more information.

Value

a data frame with all the columns originally present in dat, plus these others:

vBg	Standardised volume of biogas production for individual event.
xCH4	Interpolated mole fraction of methane in biogas.
vCH4	Standardised volume of methane production for individual event. Only if comp is provided.
vhsCH4	Standardised volume of methane present in reactor headspace. Only if method = "total" is used.
cvBg	Standardised cumulative volume of biogas production.
cvCH4	Standardised cumulative volume of methane production. Only if comp is provided.
rvBg	Production rate of biogas.
rvCH4	Production rate of methane. Only if comp is provided.

Author(s)

Sasha D. Hafner and Nanna Lojborg

References

Hafner, S.D., Rennuit, C., Triolo, J.M., Richards, B.K. 2015. Validation of a simple gravimetric method for measuring biogas production in laboratory experiments. Biomass and Bioenergy 83, 297-301.

Hansen, T.L., Schmidt, J.E., Angelidaki, I., Marca, E., Jansen, J. la C., Mosbak, H. and Christensen, T.H. 2004. Method for determination of methane potentials of solid organic waste. Waste Management 24, 393-400

Richards, B.K., Cummings, R.J., White, T.E., Jewell, W.J. 1991. Methods for kinetic analysis of methane fermentation in high solids biomass digesters. Biomass and Bioenergy 1: 65-73.

See Also

cumBg, calcBgVol, calcBgGD, summBg, interp, stdVol, options

Examples

# Example with longcombo structured input data frame
data("sludgeTwoBiogas")
data("sludgeTwoSetup")


head(sludgeTwoBiogas)
head(sludgeTwoSetup)

# Calculate cumulative production and rates 
# Pressure is gauge (not absolute) so absolute argument needed
# Data structure is default of longcombo
cbg <- calcBgMan(sludgeTwoBiogas, temp = 30,
                 id.name = "id", time.name = "time.d", 
                 pres.name = "pres", comp.name = "xCH4n",
                 temp.init = 30, pres.resid = 0, pres.init = 0,
                 headspace = sludgeTwoSetup, vol.hs.name = "vol.hs",
                 pres.amb = 1013, absolute = FALSE,
                 unit.pres = "mbar")
head(cbg)

# Plot results
## Not run: 
  # Not run just because it is a bit slow
  library(ggplot2)

  ggplot(cbg, aes(time.d, cvCH4, colour = factor(id))) + 
    geom_point() +
    geom_line(aes(group = id)) +
    labs(x = "Time (d)", y = "Cumulative methane production  (mL)", colour = "Bottle id")  + 
    theme_bw() 

## End(Not run)

# This sludgeTwoBiogas dataset has original xCH4 as well as normalized values
# So "method 2" can also be used by changing comp.name and cmethod arguments
cbg2 <- calcBgMan(sludgeTwoBiogas, temp = 30,
                  id.name = "id", time.name = "time.d", 
                  pres.name = "pres", comp.name = "xCH4",
                  temp.init = 30, pres.resid = 0, pres.init = 0,
                  headspace = sludgeTwoSetup, vol.hs.name = "vol.hs",
                  pres.amb = 1013, cmethod = 'total', absolute = FALSE,
                  unit.pres = "mbar")
head(cbg2)

# Compare
quantile(cbg2$vCH4 - cbg$vCH4)
# Median difference of 0.2 mL

# Example with long structured input data frame
data("strawPressure")
data("strawComp")
data("strawSetup")

# Need to specify data structure with \code{data.struct} argument
# Using default values for time.name, pres.name
cbg <- calcBgMan(strawPressure, comp = strawComp, temp = 31,
                 data.struct = "long",
                 id.name = "bottle", comp.name = "xCH4",
                 temp.init = 21.55, pres.resid = "pres.resid", pres.init = 0,
                 headspace = strawSetup, vol.hs.name = "headspace",
                 pres.amb = 101.3, absolute = FALSE,
                 unit.pres = "kPa")

# Because of missing composition measurements at last time for some bottles
# CH4 volume will be missing
# Can estimate xCH4 here by extrapolation using argument of same name

cbg2 <- calcBgMan(strawPressure, comp = strawComp, temp = 31,
                 data.struct = "long",
                 id.name = "bottle", comp.name = "xCH4",
                 temp.init = 21.55, pres.resid = "pres.resid", pres.init = 0,
                 headspace = strawSetup, vol.hs.name = "headspace",
                 pres.amb = 101.3, absolute = FALSE, 
                 extrap = TRUE, unit.pres = "kPa")


# For example with wide structured input data frame calcBgVol() help file

---

Calculate Cumulative Biogas Production from Volumetric Data

Description

calcBgVol (for calculation of biogas production from volumetric) measurements) calculates cumulative biogas, methane production and production rates from individual volume and composition measurements for any number of bottles.

Usage

calcBgVol(
  # Main arguments
  dat, comp = NULL, temp = NULL,
  pres = NULL, interval = TRUE, 
  data.struct = 'longcombo',
  # Column names
  id.name = 'id', time.name = 'time', vol.name = 'vol',
  comp.name = NULL,
  # Additional arguments
  headspace = NULL, vol.hs.name = 'vol.hs',
  # Calculation method and other settings
  cmethod = 'removed', imethod = 'linear', extrap = FALSE, 
  addt0 = TRUE, showt0 = TRUE,
  dry = FALSE, 
  empty.name = NULL,
  # Warnings and messages
  std.message = !quiet,
  check = TRUE,
  # Units and standard conditions
  temp.std = getOption('temp.std', as.numeric(NA)),
  pres.std = getOption('pres.std', as.numeric(NA)),
  unit.temp = getOption('unit.temp', 'C'),
  unit.pres = getOption('unit.pres', 'atm'),
  quiet = FALSE
  )

Arguments

dat	a data frame with bottle identification code; time of measurement (as numeric, or POSIX); and measured biogas volume. See Details section for details on units. Additional columns can be present–these will be returned in the output data frame. See data.struct argument for details on how data frames are structured.
comp	(optional) a data frame with the columns bottle identification code; time of measurement, (as numeric, or POSIX); and methane concentration within dry biogas as a mole fraction, considering only methane and carbon dioxide (unless cmethod = "total") or a single numeric value. If omitted, cumulative biogas volume will still be calculated and returned (but no methane data will be returned). The names of these columns are specified with id.name, time.name, and comp.name. Default is NULL.
temp	the temperature at which biogas volume was measured. A length-one numeric vector. Degrees Celcius by default (see unit.temp argument). Default is NULL, which suppresses correction for temperature and pressure.
pres	the absolute pressure at which biogas volume was measured. A length-one numeric vector or a character vector giving the name of the column in dat with the pressure measurements. Atmospheres by default (see unit.pres argument). Default is NULL, which suppresses correction for temperature and pressure.
interval	do biogas volume measurements represent production only from the time interval between observations (default)? interval = FALSE means measured gas volume is cumulative. Default is TRUE.
data.struct	the structure of input data. The default of 'longcombo' means volume and composition (if available) are both in dat. The dat data frame must have bottle identification code and time columns with names specified with id.name and time.name, volume data in a single column with the name specified by vol.name, and biogas composition in a single column with the name specified by comp.name For the data.struct = 'long' option, two separate data frames are needed, one for volume and one for composition (if available). Each data frame must have bottle identification code and time columns with names specified with id.name and time.name. The dat data frame must have volume data in a single column with the name specified by vol.name. The comp data frame must have biogas composition in a single column with the name specified by comp.name. For the data.struct = 'wide' option, two separate data frames are needed as in 'long', but there are no bottle identification code columns. Instead, in dat, volume data are in a separate column for each bottle, and column names are bottle identification codes. Here, vol.name should be the name of the first column with volume data. All following columns are assumed to also have volume data. And in comp, biogas composition data are also in a separate column for each bottle, also with bottle identification codes for column names. Here, comp.name should be the name of the first column with biogas composition data, as for dat.
id.name	name of the bottle identification code column in dat. Must be the same in all data frames used in the function. Default is "id".
time.name	name of column containing time data in dat and comp data frames. Default is "time".
vol.name	name of column containing the primary response variable (as-measured volume) in dat data frame. Default is vol.
comp.name	name of column containing biogas mole fraction of methane in comp data frame. Default is "xCH4". Must be normalised so xCH4 + xCO2 = 1.0 unless cmethod = "total".
headspace	(optional) a data frame or length-one numeric vector with bottle headspace volume(s). If a data frame is used, it should at least contain a "id" (bottle identification code) column (see "id.name") and headspace volume column (see vol.hs.name argument). Required if cmethod = "total". Default is NULL.
vol.hs.name	name of column containing headspace volume data in optional headspace data frame. Default is "vol.hs".
cmethod	method for calculating cumulative methane production. Use "removed" to base production on xCH4 and gas volumes removed (default). Use "total" to base it on the sum of methane removed and methane remaining in the bottle headspace. For "removed", xCH4 should be calculated based on methane and CO2 only (xCH4 + xCO2 = 1.0). For "total", xCH4 should be calculated including all biogas components (CH4, CO2, N2, H2S, etc.) except water. Length one character vector.
imethod	method used for interpolation of xCH4. This is passed as the method argument to interp. Length one character vector. Default is "linear" for linear interpolation.
extrap	should comp.name be extrapolated? Length one logical vector. This is passed as the extrap argument to interp. Default is FALSE.
addt0	is the earliest time in dat data frame “time zero” (start time)? If not, this argument adds a row with time.name = 0 for each bottle in order to calculate production rates for the first observation. This addition is only made when time.name is numeric (or integer). Length-one logical vector. Default is TRUE. To return these additional rows in the output, see showt0.
showt0	should “time zero” rows be returned in the output? Can be convenient for plotting cumulative volumes. Only applies if time.name is numeric (or integer). These rows may have been present in the original data (dat) or added by the function (see addt0). Default value depends on dat time.name column content. If time.name column is numeric and contains 0 then the default value is TRUE and otherwise FALSE.
dry	set to TRUE if volume data are standardised to dry conditions (e.g., AMPTS II data). The default (FALSE) means biogas is assumed to be saturated with water vapor.
empty.name	column containing a binary (logical, or integer or numeric (1 or 0)) variable indicating when accumulated biogas was emptied. Use for mix of cumulative/interval data. If used, interval is ignored.
std.message	should a message with the standard conditions be displayed? Default is TRUE.
check	should input data be checked for unreasonable values (with warnings)? Currently only composition values are checked. Default is TRUE. Values are changed if outside 0, 1 (divided by 100).
temp.std	standard temperature for presentation of biogas and methane results. Length one numeric vector. Default value is 0 degrees C (set in stdVol). Argument is passed to stdVol.
pres.std	standard pressure for presentation of biogas and methane results. Length one numeric vector. Default value is 1.0 atm (101325 Pa) (set in stdVol). Argument is passed to stdVol.
unit.temp	temperature units for temp and temp.std arguments. Default is "C". Argument is passed to stdVol.
unit.pres	pressure units for pres and pres.std arguments. Default is "atm". Argument is passed to stdVol.
quiet	use to suppress messages. Default is FALSE.

Details

Using volume data from dat and gas composition from comp, this function will calculate standardised biogas and methane production (if comp is provided) for each observation, interpolating comp.name (from comp argument) to each time.name in dat if needed, and summing these for cumulative values. All volumes (input and output) have the same units, e.g., mL, L, SCF.

Biogas composition (comp.name column in comp) is specified as the mole fraction of methane in dry biogas, normalised so mole fractions of methane and carbon dioxide sum to unity (Richards et al. 1991). Alternatively, if cmethod is set to "total", biogas composition is the mole fraction of methane in dry biogas (include all the other gases except water).

Standard values and units for temperature and pressure can be globally set using the function options. See stdVol. To surpress volume correction to a “standard” temperature and pressure, leave temp as NULL (the default).

If check = TRUE, the input values of mole fraction of methane in biogas are checked, and a warning is returned if the are outside 0, 1.

See associated vignette (calcBgVol_function.Rnw) for more information.

Value

a data frame with all the columns originally present in dat, plus these others:

vBg	Standardised volume of biogas production for individual event.
xCH4	Interpolated mole fraction of methane in biogas.
vCH4	Standardised volume of methane production for individual event. Only if comp is provided.
vhsCH4	Standardised volume of methane present in bottle headspace. Only if method = "total" is used.
cvBg	Standardised cumulative volume of biogas production.
cvCH4	Standardised cumulative volume of methane production. Only if comp is provided.
rvBg	Production rate of biogas.
rvCH4	Production rate of methane. Only if comp is provided.

Author(s)

Sasha D. Hafner and Nanna Lojborg

References

Hafner, S.D., Rennuit, C., Triolo, J.M., Richards, B.K. 2015. Validation of a simple gravimetric method for measuring biogas production in laboratory experiments. Biomass and Bioenergy 83, 297-301.

Richards, B.K., Cummings, R.J., White, T.E., Jewell, W.J. 1991. Methods for kinetic analysis of methane fermentation in high solids biomass digesters. Biomass and Bioenergy 1: 65-73.

See Also

cumBg, calcBgMan, calcBgGD, summBg, interp, stdVol, options

Examples

# Example with long structured input data frame

data("s3lcombo")
s3lcombo

# Calculate cumulative production and rates from s3lcombo
# With default data structure comp argument is not needed
# Necessary to extrapolate because first observations are missing xCH4
cbg <- calcBgVol(s3lcombo, 
                 temp = 25, pres = 1,
                 id.name = 'id', time.name = 'time.d', 
                 vol.name = 'vol.ml', comp.name = 'xCH4', 
                 extrap = TRUE)
head(cbg)

# Plot results
## Not run: 
  # Not run just because it is a bit slow
  ggplot(cbg, aes(time.d, cvCH4, colour = id)) + 
         geom_point() + geom_line(aes(group = id)) +
         labs(x = "Time (d)", y = "Cumulative methane production  (mL)", colour = "Bottle ID")  + 
         theme_bw() 

  plot(ggplot)

## End(Not run)


# Wide data structure, from AMPTS II in this case
data("feedVol")
head(feedVol)

# By default biogas is assumed to be saturated with water vapor
# Composition is set to a single value. 
# Data are cumulative
args(calcBgVol)
cbg <- calcBgVol(feedVol, comp = 1, temp = 0, pres = 1,
                 interval = FALSE, data.struct = 'wide',
                 id.name = "id", time.name = 'time.d', vol.name = '1', 
                 dry = TRUE)

head(cbg)


# Calculate cumulative production and rates from vol and comp
# Biogas volume and composition can be in separate data frames
data("vol")
data("comp")

head(vol)
head(comp)

# extrap = TRUE is needed to get CH4 results here because first xCH4 values are missing
cbg <- calcBgVol(vol, comp = comp, temp = 20, pres = 1, 
                 data.struct = "long",
                 id.name = "id", time.name = "days", comp.name = "xCH4", 
                 vol.name = "vol", extrap = TRUE)

head(cbg)

---

Calculate Oxygen Demand

Description

calcCOD is used to calculate the oxygen demand (“calculated oxygen demand”, or COD' as described by Rittmann and McCarty (2001)) of a compound.

Usage

calcCOD(form)

Arguments

form	a chemical formula, as a character vector, e.g., "C6H12O6" for glucose or "CH3COOH" for acetic acid, or c("C6H12O6", "CH3COOH") for both at once. Not case-sensitive for single letter elements (see ‘Details’).

Details

Based on Eqs. (2.2) and (2.3) in Rittmann and McCarty (2001) (p 128), but using molar mass calculated with molMass. calcCOD is not case-sensitive as long as all elements have single letter abbreviations. The function is vectorized.

Value

A numeric vector with length equal to length of form with COD' in g of oxygen per g of compound.

Author(s)

Sasha D. Hafner and Charlotte Rennuit

References

Rittmann, B., McCarty, P. 2001 Environmental Biotechnology. McGraw-Hill.

See Also

molMass, predBg

Examples

calcCOD("C6H12O6")

  calcCOD("CH3COOH")

  calcCOD("CH3CH2OH")

  calcCOD("CH4")

  calcCOD("ch4")

  calcCOD(c("C6H12O6", "CH3COOH", "CH3CH2OH"))

---

Methane Content of Biogas

Description

Methane content (biogas composition) measurements from nine batch reactors.

Usage

data("comp")

Format

A data frame with 132 observations on the following 4 variables.

id

identification code, a unique value for each reactor in the dataset. A factor with levels 2_1, 2_2, 2_3, 2_4, 2_5, 2_6, 2_7, 2_8, 2_9, 2_10, 2_11, and 2_12

date.time

date and time of mass measurement, a POSIXct object.

days

elapsed time of mass measurements (from reactor setup) in days, a numeric vector.

xCH4

biogas methane content as a mole fraction, excluding water and all other gases other than carbon dioxide, a numeric vector

Details

These data are meant to be example data for multiple functions, e.g., interp, cumBg, or summBg. Reactors were 500 mL glass serum bottles with butyl rubber septa and screw caps. Methane and carbon dioxide contents were determined by gas chromatography using a thermal conductivity detector and normalised so methane and carbon dioxide sum to 1.0. Data in vol, mass, comp, and setup are from the same reactors.

Source

Measurements by Charlotte Rennuit and Ali Heidarzadeh Vazifehkhoran.

Examples

data(comp)

---

Methane Content of Biogas

Description

Methane content (biogas composition) measurements from 15 batch reactors.

Usage

data("comp2")

Format

A data frame with 360 observations on the following 3 variables.

bottle

identification code, a unique value for each reactor in the dataset. A factor with levels 1_1, 1_2, 1_3, 2_1, 2_2, 2_2, ... through 5_3. The first number indicates the sample, the second the replicate.

days

elapsed time of mass measurements (from reactor setup) in days, a numeric vector.

CH4.conc

biogas methane content as a mole fraction, excluding water and all other gases other than carbon dioxide, a numeric vector

Details

These data are meant to be example data for multiple functions, e.g., interp, cumBg, or summBg. Reactors were 500 mL or 1000 mL glass serum bottles with butyl rubber septa and screw caps. Methane and carbon dioxide contents were determined by gas chromatography using a thermal conductivity detector and normalised so methane and carbon dioxide sum to 1.0. Data in vol2, comp2, and setup2 are from the same reactors.

Source

Measurements made by Ali Heidarzadeh Vazifehkhoran

Examples

data(comp2)

---

Calculate Cumulative Biogas Production

Description

cumBg (for cumulative biogas) calculates cumulative biogas, methane production and production rates from individual volume (or mass) and composition measurements for any number of reactors.

Usage

cumBg(
  # Main arguments
  dat, dat.type = 'vol', comp = NULL, temp = NULL, 
  pres = NULL, interval = TRUE,
  data.struct = 'long',
  # Column names for volumetric method
  id.name = 'id', time.name = 'time', dat.name = dat.type,
  comp.name = 'xCH4', 
  # Additional arguments for manometric and gravimetric methods
  pres.resid = NULL, temp.init = NULL, pres.init = NULL,
  rh.resid = NULL,
  rh.resid.init = 1, headspace = NULL, 
  vol.hs.name = 'vol.hs', headcomp = 'N2',
  absolute = TRUE, pres.amb = NULL,
  # Additional arguments for GCA method
  mol.f.name = NULL, vol.syr = NULL,
  # Calculation method and other settings
  cmethod = 'removed', imethod = 'linear', extrap = FALSE,
  addt0 = TRUE, showt0 = TRUE, 
  dry = FALSE,
  empty.name = NULL,
  # Warnings and messages
  std.message = !quiet, 
  check = TRUE,
  # Units and standard conditions
  temp.std = getOption('temp.std', as.numeric(NA)), 
  pres.std = getOption('pres.std', as.numeric(NA)),
  unit.temp = getOption('unit.temp', 'C'),
  unit.pres = getOption('unit.pres', 'atm'),
  quiet = FALSE
  )

Arguments

dat	a data frame with reactor identification code; time of measurement (as numeric, or POSIX); and measured biogas volume, pressure in pres.unit, or total reactor mass (see dat.type argument). See Details section for details on units. Additional columns can be present–these will be returned in the output data frame. See data.struct argument for details on how data frames are structured.
dat.type	the type of data contained in dat. Use "vol" or "volume" for biogas volume (volumetric method will be used), "mass" for reactor masses (gravimetric method will be used) or "pres" ("pressure") for headspace pressure (pressure of the headspace will be converted to gas volume). Default is "vol".
comp	(optional) a data frame with the columns reactor identification code; time of measurement, (as numeric, or POSIX); and methane concentration within dry biogas as a mole fraction, considering only methane and carbon dioxide (unless cmethod = "total") or a single numeric value. If omitted, cumulative biogas volume will still be calculated and returned (but no methane data will be returned). The names of these columns are specified with id.name, time.name, and comp.name. Default is NULL.
temp	the temperature at which biogas volume was measured (when dat.type = "vol"), or of biogas just prior to exiting the reactor (when dat.type = "mass"). A length-one numeric vector. Degrees Celcius by default (see unit.temp argument). Default is NULL, which suppresses correction for temperature and pressure.
pres	the absolute pressure at which biogas volume was measured (when dat.type = "vol"), or of biogas just prior to exiting the reactor (when dat.type = "mass"). A length-one numeric vector or a character vector giving the name of the column in dat with the pressure measurements. Atmospheres by default (see unit.pres argument). Default is NULL, which suppresses correction for temperature and pressure. Not used for manometric method (when dat.type = "pres").
interval	do biogas measurements (volume or pressure) represent production only from the time interval between observations (default)? interval = FALSE means measured gas volume or pressure is cumulative. Applies to volumetric (dat.type = "vol") and manometric methods (dat.type = "pres"). The gravimetric method (dat.type = "mass") is cumulative by nature and the interval argument is not used. For mixed manometric measurements (some observations vented, some not), use interval = TRUE, include a column for pres.resid, and, if composition was only measured for vented observations, use imethod = "f1". Default is TRUE.
data.struct	the structure of input data. The default of 'long' means separate objects for volume (or pressure or mass for manometric and gravimetric methods) and composition (if available). Each data frame must have reactor identification code and time columns with names specified with id.name and time.name. The dat data frame must have volume (or pressure or mass) data in a single column with the name specified by dat.name. The comp data frame must have biogas composition in a single column with the name specified by comp.name. For the data.struct = 'longcombo' option, the composition column should be in the dat data frame, and the comp argument is not used. For the data.struct = 'wide' option, two separate data frames are needed as in 'long', but there are no reactor identification code columns. Instead, in dat, volume (or pressure or mass) data are in a separate column for each bottle, and column names are reactor identification codes. Here, dat.name should be the name of the first column with volume (or pressure or mass) data. All following columns are assumed to also have volume (or pressure or mass) data. And in comp, biogas composition data are also in a separate column for each bottle, also with reactor identification codes for column names. Here, comp.name should be the name of the first column with biogas composition data, as for dat.
id.name	name of the reactor identification code column in dat. Must be the same in all data frames used in the function. Default is "id".
time.name	name of column containing time data in dat and comp data frames. Default is "time".
dat.name	name of column containing the primary response variable (volume or mass) in dat data frame. Default is dat.type value. See dat.type argument.
comp.name	name of column containing biogas mole fraction of methane in comp data frame. Default is "xCH4". Must be normalised so xCH4 + xCO2 = 1.0 unless cmethod = "total".
pres.resid	headspace pressure after venting. Either a single numeric value, assumed to be the same for all observations, or the name of a column in dat that contains these values for each observation. Used in manometric method only (dat.type = "pres"). Can be absolute (default) or gauge depending on the value of absolute. Length one numeric or character vector.
temp.init	initial headspace temperature in unit.temp units. Used to correct for effect of initial reactor headspace on mass loss for the gravimetric method (dat.type = "mass"), and to determine initial gas volume in the manometric method (dat.type = "pres"). Not used for volumetric method (dat.type = "vol").
pres.init	headspace pressure at the begining of the experiment. Used in manometric method only (dat.type = "pres"). Can be absolute (default) or gauge depending on the value of absolute. Length one numeric vector.
rh.resid	relative humidity of the gas in the headspace after venting. If NULL (default), it is calculated for each interval as the ratio of post- to pre-venting pressure (equivalent to assuming relative water vapor concentration (mixing ratio) is the same before and after venting. If entered, typically should be 1.0. Length one numeric vector. Used in manometric method only (dat.type = "pres").
rh.resid.init	relative humidity of the gas in the headspace at the begining of the experiment. Typically should be 1.0 (the default). Length one numeric vector. Used in manometric method only (dat.type = "pres").
headspace	(optional) a data frame or length-one numeric vector with reactor headspace volume(s). If a data frame is used, it should at least contain a "id" (reactor identification code) column (see "id.name") and headspace volume column (see vol.hs.name argument). Required if method = "total" for the volumetric method, for initial headspace correction for the gravimetric method (see headcomp and temp.init) and for the manometric method using pressure measurements (dat.type = "pres"). Default is NULL.
vol.hs.name	name of column containing headspace volume data in optional headspace data frame. Default is "vol.hs".
headcomp	(optional) Composition of headspace for correction of initial headspace mass for gravimetric method only. If provided, correction will be applied to first mass loss observation for each individual reactor. See argument of the same name in mass2vol. Currently, the only option is "N2" for dinitrogen gas. Use of any other value will be ignored with a warning.
absolute	is the headspace pressure measured in the manometric method (dat.name and pres.resid values/columns) absolute or gauge pressure? Applies to manometric method only (dat.type = "pres"). Default is TRUE.
pres.amb	absolute ambient pressure needed to calculate absolute pressure from gauge pressure measurements. In atmospheres by default (see unit.pres argument). Only a single value is accepted. If ambient pressure differed among measurements, it is necessary to convert pressures to absolute values and use absolute = TRUE instead.
mol.f.name	name of the column in dat that contains the post-venting (f for final) quantity of methane in the syringe. Used for the absolute GC method (dat.type = "gca") only (Hansen et al., 2004). If venting was not done for a particular observation, the value in this column should be NA. The pre-venting column name is given in the dat.name column.
vol.syr	volume of the syringe used in the absolute GC method (Hansen et al., 2004) (dat.type = "gca") in mL. Only a single value is accepted. If other volume units are used (e.g., microL), the units used for the (headspace) argument must match, and the output volume unit will be the same.
cmethod	method for calculating cumulative methane production. Applies to dat.type = "vol" and dat.type = "pres" methods only. Use "removed" to base production on xCH4 and gas volumes removed (default). Use "total" to base it on the sum of methane removed and methane remaining in the reactor headspace. For "removed", xCH4 should be calculated based on methane and CO2 only (xCH4 + xCO2 = 1.0). For "total", xCH4 should be calculated including all biogas components (CH4, CO2, N2, H2S, etc.) except water. Length one character vector.
imethod	method used for interpolation of xCH4. This is passed as the method argument to interp. Length one character vector. Default is "linear" for linear interpolation.
extrap	should comp.name be extrapolated? Length one logical vector. This is passed as the extrap argument to interp. Default is FALSE.
addt0	is the earliest time in dat data frame “time zero” (start time)? If not, this argument adds a row with time.name = 0 for each reactor in order to calculate production rates for the first observation. This addition is only made when dat.type = "vol" or dat.type = "pres" and time.name is numeric (or integer). Length-one logical vector. Default is TRUE. To return these additional rows in the output, see showt0.
showt0	should “time zero” rows be returned in the output? Can be convenient for plotting cumulative volumes. Only applies if time.name is numeric (or integer). These rows may have been present in the original data (dat) or added by the function (see addt0). Default value depends on dat time.name column content. If time.name column is numeric and contains 0 then the default value is TRUE and otherwise FALSE.
dry	set to TRUE is volume data are standardised to dry conditions (e.g., AMPTS II data). Only applies to volumetric data (dat.type = 'vol'). The default (FALSE) means biogas is assumed to be saturated with water vapor.
empty.name	column containing a binary (logical, or integer or numeric (1 or 0)) variable indicating when accumulated biogas was emptied. Use for mix of cumulative/interval data. Only applies to volumetric data (dat.type = 'vol'). If used, interval is ignored.
std.message	should a message with the standard conditions be displayed? Default is TRUE.
check	should input data be checked for unreasonable values (with warnings)? Currently only composition values are checked. Default is TRUE.
temp.std	standard temperature for presentation of biogas and methane results. Length one numeric vector. Default value is 0 degrees C (set in stdVol). Argument is passed to stdVol.
pres.std	standard pressure for presentation of biogas and methane results. Length one numeric vector. Default value is 1.0 atm (101325 Pa) (set in stdVol). Argument is passed to stdVol.
unit.temp	temperature units for temp and temp.std arguments. Default is "C". Argument is passed to stdVol.
unit.pres	pressure units for pres and pres.std arguments. Default is "atm". Argument is passed to stdVol.
quiet	use to suppress messages. Default is FALSE.

Details

Using volume, mass, pressure, or molar quantity data from dat and gas composition from comp, this function will calculate standardised biogas and methane production (if comp is provided) for each observation, interpolating comp.name (from comp argument) to each time.name in dat if needed, and summing these for cumulative values. Use of volumetric measurements is the default case. However, this function is essentially deprecated for both volumetric and manometric methods, and the new calcBgMan and calcBgVol functions are recommended instead.

Alternatively, if reactor mass is given in dat, a gravimetric approach (Hafner et al. 2015) can be applied by setting dat.type to "mass". In this case, to determine total cumulative biogas production for batch reactors, an initial mass should be included for each reactor. If pressure is measured in dat, a manometric method can be applied by setting dat.type to "pres". Lastly, molar quantity of methane can be used in the absolute GC method by setting dat.type to "gca".

For the volumetric and absolute GC methods, all volumes (input and output) have the same units, e.g., mL, L, SCF. For the gravimetric method, output volumes will be in mL if input masses are in g (or in L if input masses are in kg, etc.). For the manometric method, inputs units are specified with unit.pres, and output volumes are the same as headspace volume, e.g., mL or L.

Biogas composition (comp.name column in comp) is specified as the mole fraction of methane in dry biogas, normalised so mole fractions of methane and carbon dioxide sum to unity (Richards et al. 1991). Alternatively, if cmethod is set to "total", biogas composition is the mole fraction of methane in dry biogas (include all the other gases except water).

Standard values and units for temperature and pressure can be globally set using the function options. See stdVol. To surpress volume correction to a “standard” temperature and pressure, leave temp as NULL (the default).

If check = TRUE, the input values of mole fraction of methane in biogas are checked, and a warning is returned if the are outside 0, 1.

Value

a data frame with all the columns originally present in dat, plus these others:

vBg	Standardised volume of biogas production for individual event.
xCH4	Interpolated mole fraction of methane in biogas.
vCH4	Standardised volume of methane production for individual event. Only if comp is provided.
vhsCH4	Standardised volume of methane present in reactor headspace. Only if method = "total" is used.
cvBg	Standardised cumulative volume of biogas production.
cvCH4	Standardised cumulative volume of methane production. Only if comp is provided.
rvBg	Production rate of biogas.
rvCH4	Production rate of methane. Only if comp is provided.

Author(s)

Sasha D. Hafner and Charlotte Rennuit

References

Hafner, S.D., Rennuit, C., Triolo, J.M., Richards, B.K. 2015. Validation of a simple gravimetric method for measuring biogas production in laboratory experiments. Biomass and Bioenergy 83, 297-301.

Hansen, T.L., Schmidt, J.E., Angelidaki, I., Marca, E., Jansen, J. la C., Mosbak, H. and Christensen, T.H. 2004. Method for determination of methane potentials of solid organic waste. Waste Management 24, 393-400

Richards, B.K., Cummings, R.J., White, T.E., Jewell, W.J. 1991. Methods for kinetic analysis of methane fermentation in high solids biomass digesters. Biomass and Bioenergy 1: 65-73.

See Also

calcBgMan, calcBgVol, calcBgGD, summBg, interp, stdVol, options

Examples

data("vol")
data("comp")

head(vol)
head(comp)

# Calculate cumulative production and rates from vol and comp
cum.prod <- cumBg(vol, comp = comp, temp = 20, pres = 1, id.name = "id", time.name = "days", 
		  comp.name = "xCH4", dat.name = "vol")
head(cum.prod)

# Note warnings and related NAs in results
# Set extrap = TRUE to extrapolate xCH4 to earliest times

# Calculate cumulative production and rates from vol and comp
cum.prod <- cumBg(vol, comp = comp, temp = 20, pres = 1, id.name = "id", time.name = "days", 
		  comp.name = "xCH4", dat.name = "vol", extrap = TRUE)
head(cum.prod)

# In this case, we can use default values for some column names, so this call is identical
cum.prod <- cumBg(vol, comp = comp, temp = 20, pres = 1, time.name = "days", extrap = TRUE)

# Plot results
## Not run: 
# Not run just because it is a bit slow
library(ggplot2)
qplot(x = days, y = cvCH4, data = cum.prod, xlab = "Time (d)", 
      ylab = "Cumulative methane production (mL)",color = id, geom = "line")

## End(Not run)

# Omit added time zero rows
cum.prod <- cumBg(vol, comp = comp, temp = 20, pres = 1, time.name = "days", extrap = TRUE, 
		  showt0 = FALSE)
head(cum.prod)

## Not run: 
# Not run just because it is a bit slow
qplot(x = days, y = cvCH4, data = cum.prod, xlab = "Time (d)", 
      ylab = "Cumulative methane production (mL)", color = id, geom = "line")

## End(Not run)

# Previous is different from never adding them in the first place (rates not calculated for first 
# observations here)
cum.prod <- cumBg(vol, comp = comp, temp = 20, pres = 1, time.name = "days", extrap = TRUE, 
		  addt0 = FALSE)
head(cum.prod)

## Not run: 
# Not run just because it is a bit slow
qplot(x = days, y = cvCH4, data = cum.prod, xlab = "Time (d)", 
      ylab = "Cumulative methane production (mL)", color = id, geom = "line")

## End(Not run)

# Can use POSIX objects for time (but cumBg cannot add t0 rows here)
class(vol$date.time)
class(comp$date.time)
cum.prod <- cumBg(vol, comp = comp, temp = 20, pres = 1, time.name = "date.time", extrap = TRUE)
head(cum.prod)

## Not run: 
# Not run just because it is a bit slow
qplot(x = date.time, y = cvCH4, data = cum.prod, xlab = "Time (d)", 
      ylab = "Cumulative methane production (mL)", color = id, geom = "line")

## End(Not run)

# Can leave out composition data, and then CH4 is not included in results
cum.prod <- cumBg(vol, temp = 20, pres = 1, time.name = "days")
head(cum.prod)

# Leave out pres or temp, and results are not standardised
cum.prod <- cumBg(vol, time.name = "days")
head(cum.prod)

# Example with input data frames with different column names
data("vol2")
data("comp2")

head(vol2)
head(comp2)

cum.prod <- cumBg(vol2, comp = comp2, temp = 20, pres = 1, 
                  id.name = "bottle", time.name = "days", 
		  dat.name = "meas.vol", comp.name = "CH4.conc")
head(cum.prod)
tail(cum.prod)

# Note warnings and related NAs in results
warnings()

# Set extrap = TRUE to avoid
cum.prod <- cumBg(vol2, comp = comp2, temp = 20, pres = 1, 
                  id.name = "bottle", time.name = "days", 
		  dat.name = "meas.vol", comp.name = "CH4.conc", 
                  extrap = TRUE)
head(cum.prod)

## Not run: 
# Not run just because it is a bit slow
qplot(x = days, y = cvCH4, data = cum.prod, xlab = "Time (d)", 
      ylab = "Cumulative methane production (mL)", 
      color = bottle, geom = "line")

## End(Not run)

# Mass example
data("mass")

mass

# Need to specify data type with dat.type argument (using default 
# values for id.name, dat.name, and comp.name)
cum.prod <- cumBg(mass, dat.type = "mass", comp = comp, temp = 35, 
                  pres = 1, time.name = "days")
cum.prod

# Drop time 0 rows
cum.prod <- cumBg(mass, dat.type = "mass", comp = comp, temp = 35, 
                  pres = 1, time.name = "days", showt0 = FALSE)
cum.prod

# Add initial headspace correction (alternatively, headspace could 
# be a data frame with a different volume for each reactor)
cum.prod <- cumBg(mass, dat.type = "mass", comp = comp, temp = 35, 
                  pres = 1, time.name = "days", headspace = 300, 
                  headcomp = "N2", temp.init = 20, showt0 = FALSE)
cum.prod

# Pressure example
data("strawPressure")
data("strawComp")
data("strawSetup")

cum.prod <- cumBg(strawPressure, dat.type = 'pres', 
                  comp = strawComp, temp = 35, 
                  id.name = 'bottle', time.name ='time', 
                  dat.name = 'pres', comp.name = 'xCH4',
                  pres.resid = 'pres.resid', temp.init = 20, 
                  pres.init = 101.325,
                  headspace = strawSetup, 
                  vol.hs.name = 'headspace', 
                  extrap = TRUE, 
                  unit.pres = 'kPa', pres.std = 101.325)

head(cum.prod)

# Absolute GC method (long format is the only option)

# Generate some data--two bottles with identical results
# Units for n1 and n2 are micromoles of CH4
biogas <- data.frame(id = rep(c('A', 'B'), each = 5), 
                     time.d = rep(1:5, 2), 
                     n1 = rep(c(1.1, 2.4, 3.8, 5.9, 2.3), 2), 
                     n2 = rep(c(NA, NA, NA, 1.2, NA), 2))

# Bottles were vented after the measurements on day 4
biogas

# Syringe volume is 0.25 mL
# Headspace volume is 50 mL

cp <- cumBg(biogas, id.name = 'id', time.name = 'time.d', 
            dat.name = 'n1', mol.f.name = 'n2', vol.syr= 0.25,
            headspace = 50, dat.type = 'gca')
cp

# Suppose the bottles had two difference headspace volumes
setup <- data.frame(id = c('A', 'B'), vol.hs = c(50, 60))

cp2 <- cumBg(biogas, id.name = 'id', time.name = 'time.d', 
            dat.name = 'n1', mol.f.name = 'n2', vol.syr= 0.25,
            headspace = setup, vol.hs.name = 'vol.hs', dat.type = 'gca')
cp2


# Different data structures
# Load example data
data("s3voll")
data("s3volw")
data("s3compl")
data("s3compw")
data("s3lcombo")

# wide

# Check data structure first
s3volw

s3compw

cum.prod <- cumBg(s3volw, comp = s3compw, temp = 25, pres = 1,
                  time.name = 'time.d',
                  data.struct = 'wide',
                  dat.name = 'D', comp.name = 'D',
                  extrap = TRUE)

cum.prod

# longcombo
s3lcombo

cum.prod <- cumBg(s3lcombo, temp = 25, pres = 1,
                  id.name = 'id', time.name = 'time.d',
                  data.struct = 'longcombo',
                  dat.name = 'vol.ml', comp.name = 'xCH4',
                  extrap = TRUE)

# Compare wide and longcombo to long (default)
s3voll
s3compl

cum.prod <- cumBg(s3lcombo, comp = s3compl, temp = 25, pres = 1,
                  id.name = 'id', time.name = 'time.d',
                  dat.name = 'vol.ml', comp.name = 'xCH4',
                  extrap = TRUE)

cum.prod

---

Setup Details for Batch Reactors

Description

Information on bottle id, substrates and, inoculum initial masses for 12 anaerobic bottles with animal feed ingredients for substrate.

Usage

data("feedSetup")

Format

A data frame with 12 observations on the following 3 variables:

descrip

description of bottle contents.

id

identification code, a unique value for each bottle in the dataset. Numeric with all values from 1 to 12.

m.inoc

mass of inoculum added to the bottle at the start in g, a numeric vector.

m.sub.vs

mass of volatile solids (VS) of substrate added to the bottle at the start in g, a numeric vector.

Details

These data are meant to be example data for summBg. Inoculum was digestate from a stable laboratory reactor (400 L) operated at mesophilic temperatures (38 degrees C) and a retention time of ca. 98 days Substrates were cellulose, wheat straw (WS), and animal feed ingredients (FI). Additinally, 1 mL each of a vitamin mixture and trace element solution was added to each BMP bottle.

BMP tests were operated with a total volume of ca. 400 mL at 38 degrees C.

Data in feedVol and feedSetup are from the same bottles.

Source

Data were originally collected by Soeren Weinrich and others at DBFZ in Leipzig Germany.

Examples

data(feedSetup)

---

Biogas Volume from Batch Reactors

Description

Cumulative standardized measurements of biogas volume from 12 batch bottles, organized in a “wide” format.

Usage

data("feedVol")

Format

A data frame with 44 observations on the following 13 variables (note that all biogas volume columns, 2-13, are similar):

time.d

elapsed time of volume measurements in days, a numeric vector.

1

cumulative standardized volume of biogas produced at time given in time from bottle “1” in mL, a numeric vector.

2

volume of biogas from bottle “2”.

3

volume of biogas from bottle “3”.

4

volume of biogas from bottle “4”.

5

volume of biogas from bottle “5”.

6

volume of biogas from bottle “6”.

7

volume of biogas from bottle “7”.

8

volume of biogas from bottle “8”.

9

volume of biogas from bottle “9”.

10

volume of biogas from bottle “10”.

11

volume of biogas from bottle “11”.

12

volume of biogas from bottle “12”.

Details

These data are meant to be example data for calcBgVol and summBg. Inoculum was digestate from a stable laboratory reactor (400 L) operated at mesophilic temperatures (38 degrees C) and a retention time of ca. 98 days Substrates were cellulose, wheat straw (WS), and animal feed ingredients (FI). Additinally, 1 mL each of a vitamin mixture and trace element solution was added to each BMP bottle. BMP tests were operated with a total volume of ca. 400 mL at 38 degrees C.

Biogas productions was measured using the online volumtric AMPTS II method. Carbon dioxide was produced using an alkaline trap, so biogas volume is equal to methane volume.

Data in feedSetup and feedVol are from the same bottles.

Source

Data were originally collected by Soeren Weinrich and others at DBFZ in Leipzig Germany.

Examples

data(feedVol)

---

Fit a First-Order Model to Biogas or Other Data

Description

fitFOM (FOM is for first order model) is a flexible function for fitting first-order models to batch biogas production data, typically from a biochemical methane potential (BMP) test.

Usage

fitFOM(dat, n.pool = 1, time.name = 'time.d', resp.name = 'cvCH4',
       fit.to = 'yield', method = 'Nelder-Mead', abs.err = FALSE, trans = TRUE,
       init = if (n.pool == 1) c(B = 'yield', k = 0.5) 
                else c(B = 'yield', f = 0.5, k1 = 0.01, k2 = 0.5), 
       fixed = NULL, fit.last = FALSE, lower = NULL, upper = NULL, lag.phase = FALSE)

Arguments

dat	a data frame with columns for elapsed time and cumulative methane yield ("specific methane production" SMP) or another response variable.
n.pool	Number of substrate pools to include in the model. 1 or 2. Length-one numeric vector.
time.name	Name of the column in dat that has elapsed time. Length-one character vector.
resp.name	Name of the column in dat that has response variable, typically cumulative methane yield ("specific methane production" SMP). Length-one character vector.
fit.to	Should fitting be to cumulative yield ('yield', default) or the average production rate ('rate', calculated as its difference over time)? Length-one character vector.
method	Method used to fit the model, i.e., to estimate best-fit parameter values. Default of 'Nelder-Mead' uses that method via the optim function. The other methods available for link{optim} are alternatives. A better option seems to be 'LM', which uses the nls.lm function from the minpack.lm package; this is not the default option only because it requires another package. Length-one character vector.
abs.err	Should fitting be based on mean absolute error (TRUE) or sum of squares (FALSE, default). Length-one logical vector.
trans	Should parameter values be transformed for fitting? If TRUE, the k parameter(s) are log10-transformed and (if relevant) f is transformed with the standard logistic function. This ensures logical values (positive k, f between 0 and 1) and may result in better estimates. Default is FALSE. Length-one logical vector.
init	Vector of initial parameter estimates. See defaults for elements. For B parameter, set to 'yield' to take the initial estimate from the resp.name column. Length-two or -four named numeric vector.
fixed	Fixed parameters that should be excluded from optimization. Named numeric vector.
fit.last	Set to TRUE to force fit exactly through final measured observation. Not recommended. Length-one logical vector.
lower	Optional lower parameter value limits. Only available with some methods. Named numeric vector.
upper	Optional upper parameter value limits. Only available with some methods. Named numeric vector.
lag.phase	Should the "lag phase" be excluded from fitting? This period is defined as all observations prior to maximum average production rate. Default of FALSE. Length-one logical vector.

Details

Use for fitting a first-order model (estimation of best-fit parameter values). Intended for extracting kinetic constants and maximum methane potential from biochemical methane potential (BMP) test measurements.

Value

A list with parameter estimates and additional information. Most useful elements are coefs and coef.tab (best-fit parameter values), summ (a summary that includes model efficiency, error, and convergence information), and pred (model predicted or fitted values).

Author(s)

Sasha D. Hafner

References

Hafner, S.D., Koch, K., Carrere, H., Astals, S., Weinrich, S., Rennuit, C. 2018. Software for biogas research: Tools for measurement and prediction of methane production. SoftwareX 7 205-210. doi:10.1016/j.softx.2018.06.005

Examples

# First use example data to generate a specific methane potential (SMP) curve
library(biogas)
data('feedVol')
data('feedSetup')

# Cumulative biogas and CH4 production
cbg <- calcBgVol(feedVol, comp = 1, temp = 0, pres = 1,
                 interval = FALSE, data.struct = 'wide',
                 id.name = 'id', time.name = 'time.d', vol.name = '1', 
                 dry = TRUE)

# Get SMP
SMP <- summBg(vol = cbg, setup = feedSetup, time.name = 'time.d', 
               inoc.name = 'BK', inoc.m.name = 'm.inoc', when = 'meas',
               norm.name = 'm.sub.vs', show.obs = TRUE)

# Select bottle 9
s9 <- subset(SMP, id == 9)

# Fit model
mod1 <- fitFOM(s9, n.pool = 1, time.name = 'time.d', resp.name = 'cvCH4')

# View summary
mod1$summ

# Add model predictions
s9$cvCH4.pred <- mod1$pred

# And plot
plot(cvCH4 ~ time.d, data = s9, type = 'o')
lines(cvCH4.pred ~ time.d, data = s9, col = 'red')

# Fit to rates instead
mod1b <- fitFOM(s9, n.pool = 1, time.name = 'time.d', resp.name = 'cvCH4', fit.to = 'rate')
mod1b$summ

# Try 2 pools
mod2 <- fitFOM(s9, n.pool = 2, time.name = 'time.d', resp.name = 'cvCH4')
mod2$summ

# First pool effectively ignored in the fit
# Try different method (this one required minpack.lm package)
## Not run: 
mod2 <- fitFOM(s9, n.pool = 2, time.name = 'time.d', resp.name = 'cvCH4', method = 'LM')
mod2$summ

## End(Not run)

# Unfortunately, here is a big effect of method on the result!

s9$cvCH4.pred2 <- mod2$pred

plot(cvCH4 ~ time.d, data = s9, type = 'o')
lines(cvCH4.pred ~ time.d, data = s9, col = 'red')
lines(cvCH4.pred2 ~ time.d, data = s9, col = 'blue')

# Drop (exclude) lag phase
mod3 <- fitFOM(s9, n.pool = 2, time.name = 'time.d', resp.name = 'cvCH4', lag.phase = TRUE)
mod3$summ
s9$cvCH4.pred3 <- mod3$pred

lines(cvCH4.pred3 ~ time.d, data = s9, col = 'darkgreen')

---

Interpolate Biogas Composition or Cumulative Production

Description

interp interpolates (or extrapolates) biogas composition (methane concentration) or cumulative production data to a wanted time using one of several possible methods.

Usage

interp(times, y, time.out, method = "linear", extrap = FALSE)

Arguments

times	measurement times. Numeric vector or POSIX.
y	response variable at times, e.g., mole fraction of methane in biogas, or biogas cumulative production. Numeric vector.
time.out	time or times at which interpolated values are needed. Numeric vector or POSIX.
method	method used for interpolation. Default is "linear", which uses the approx function. Use "f1" for to always use nearest value to right (see f = 1 argument in approx). For spline interpolation, use "ffm" or the other options available (see spline).
extrap	should y be exptrapolated? Logical. Default is FALSE. See ‘Details’.

Details

interp is really a wrapper for the interpolation functions approx and spline. For cumulative production, which (usually) must monotonically increase, method = "hyman" is the best choice. Extrapolation behavior depends on method. For method = "linear", extrap = TRUE simply returns the value of the closest y. For manometric measurement with mix of venting/no venting with composition measurements only when venting use method = "f1". See approx and spline for more information.

Value

Interpolated estimates of y at given times.

Author(s)

Sasha D. Hafner and Charlotte Rennuit

See Also

cumBg

Examples

# Fake composition data 
dat <- data.frame(time = c(1, 7, 14, 28), 
                  xCH4 = c(0.3, 0.5, 0.61, 0.65))
interp(dat$time, dat$xCH4, time.out = 10)
interp(dat$time, dat$xCH4, time.out = 10, method = "natural")
interp(dat$time, dat$xCH4, time.out = c(10, 30))
interp(dat$time, dat$xCH4, time.out = c(10, 30), method = "natural")
interp(dat$time, dat$xCH4, time.out = c(10, 30), extrap = TRUE)

# Actual data
data(comp)
# Work with one reactor
bgc <- subset(comp, id=="2_1")

# With numeric time, interpolate to 1, 7, and 30 days
interp(bgc$days, bgc$xCH4, time.out = c(1, 7, 30))

# If extrapolation is OK
interp(bgc$days, bgc$xCH4, time.out = c(1, 7, 30), extrap = TRUE)

# Or POSIXct
interp(bgc$date.time, bgc$xCH4, 
       time.out = as.POSIXct("2014-07-12 13:00:00"))

# For cumulative gas production
data(vol)
# Work with one reactor
bgv <- subset(vol, id=="2_1")
# Calculate cumulative volume
bgv <- cumBg(bgv, time.name = "days")
# The interpolate of cumulative production to 1, 7, and 30 days
interp(bgv$days, bgv$cvBg, time.out = c(1, 7, 30), method = "hyman")

---

Mass Change of Batch Reactors

Description

Mass measurements for 9 batch anaerobic reactors.

Usage

data("mass")

Format

A data frame with 18 observations on the following 4 variables.

id

identification code, a unique value for each reactor in the dataset. A factor with levels 2_1, 2_2, 2_3, 2_4, 2_5, 2_6, 2_10, 2_11, and 2_12

date.time

date and time of mass measurement, a POSIXct object.

days

elapsed time of mass measurements (from reactor setup) in days, a numeric vector.

mass

total reactor mass in g, a numeric vector.

when

when was measurement taken? A character vector with two values.

Details

These data are meant to be example data for mass2vol, for gravimetric determination of biogas production. Reactors were 500 mL glass serum bottles with butyl rubber septa and screw caps. Masses were measured with an electronic balance to 100 mg. Data in vol, mass, massw, comp, and setup are from the same reactors.

Source

Measurements by Charlotte Rennuit and Sasha Hafner.

Examples

data(mass)

---

Calculate Biogas Production Gravimetrically

Description

mass2vol calculates biogas volume based on measured reactor mass loss.

Usage

mass2vol(mass, xCH4, xCO2 = 1 - xCH4 - xN2, xN2 = 0, temp, pres, 
  temp.std = getOption('temp.std', as.numeric(NA)), 
  pres.std = getOption('pres.std', as.numeric(NA)), 
  unit.temp = getOption('unit.temp', 'C'), 
  unit.pres = getOption('unit.pres', 'atm'), 
  value = "CH4", headspace = NULL, headcomp = 'N2', 
  temp.init = NULL, std.message = TRUE)

Arguments

mass	reactor mass loss in g. A numeric vector.
xCH4	biogas mole fraction of methane, considering CH4, CO2, and N2 content. A numeric vector.
xCO2	biogas mole fraction of carbon dioxide, considering CH4, CO2, and N2 content. A numeric vector.
xN2	biogas mole fraction of dinitrogen, considering CH4, CO2, and N2 content. A numeric vector.
temp	the temperature of biogas as it exited the reactor. A length-one numeric vector. Degrees Celcius by default (see unit.temp argument).
pres	the pressure of biogas as it exited the reactor. A length-one numeric vector. Atmospheres (atm) by default (see unit.pres argument).
temp.std	standard temperature for presentation of biogas and methane results. Default value is 0 degrees C. Argument is passed to stdVol. Length one numeric vector.
pres.std	standard pressure for presentation of biogas and methane results. Default value is 1.0 atm. Argument is passed to stdVol. Length one numeric vector.
unit.temp	temperature units for temp and temp.std arguments. Default is "C". Argument is passed to stdVol.
unit.pres	pressure units for pres and pres.std arguments. Default is "atm". Argument is passed to stdVol.
value	what should be returned? Default is "CH4", which returns methane volume in mL. "all" returns biogas, methane, and carbon dioxide volumes.
headspace	(optional) reactor headspace volume in mL. Used to correct for effect of initial reactor headspace on mass loss. A numeric vector.
headcomp	(optional) composition of the initial reactor headspace. Only required if headspace argument is specified. Used to correct for effect of initial reactor headspace on mass loss. Currently, the only option is "N2" for dinitrogen gas. Use of any other value will be ignored with a warning.
temp.init	(optional) initial headspace temperature in unit.temp units. Used to correct for effect of initial reactor headspace on mass loss.
std.message	should a message with the standard conditions be displayed? Default is TRUE.

Details

This function uses the method described in Hafner et al. (2015) to calculate biogas production from reactor mass loss. It is essential that the only change in reactor mass is due to biogas removal! Users are advised to read the original reference before applying the method. This function is vectorized. Instead of using this function directly when working with multiple measurements on multiple reactors, use the cumBg function (which can call up mass2vol).

Standard values and units of temperature and pressure can be globally set using the function options.

Value

volume of methane in mL as a numeric vector (if value = "CH4") or a matrix with columns for biogas, methane, and carbon dioxide volumes in mL.

vBg	standardised volume of biogas in mL
vCH4	standardised volume of methane in mL
vCH4	standardised volume of carbon dioxyde in mL

All volumes are standardised using pres.std and temp.std arguments (see stdVol).

Author(s)

Sasha D. Hafner and Charlotte Rennuit

References

Hafner, S.D., Rennuit, C., Triolo, J.M., Richards, B.K. 2015. Validation of a simple gravimetric method for measuring biogas production in laboratory experiments. Biomass and Bioenergy 83, 297-301.

See Also

vol2mass, stdVol, cumBg, options

Examples

# Volume of methane if measured mass loss was 3.1 g
  mass2vol(3.1, xCH4 = 0.65, temp = 35, pres = 1)

  # More details
  mass2vol(3.1, xCH4 = 0.65, temp = 35, pres = 1, value = "all")
  
  # Vectorized
  data("massw")
  massw$massloss <- massw$start - massw$end
  massw$vCH4 <- mass2vol(massw$massloss, xCH4 = 0.65, temp = 35, 
                         pres = 1)
  massw

---

Mass Change of Batch Reactors

Description

Mass measurements for 9 batch anaerobic reactors in a “wide” format (separate columns for initial and final mass).

Usage

data("massw")

Format

A data frame with 9 observations on the following 3 variables.

id

identification code, a unique value for each reactor in the dataset. A factor with levels 2_1, 2_2, 2_3, 2_4, 2_5, 2_6, 2_10, 2_11, and 2_12

start

total reactor mass at the start of its incubation in g, a numeric vector.

end

total reactor mass at the end of its incubation in g, a numeric vector.

Details

These data are meant to be example data for application of mass2vol, for gravimetric determination of biogas production. Reactors were 500 mL glass serum bottles with butyl rubber septa and screw caps. Masses were measured with an electronic balance to 100 mg. These are the same data as in mass, but simply in a “wide” format. Data in vol, mass, massw, comp, and setup are from the same reactors.

Source

Measurements by Charlotte Rennuit and Sasha Hafner.

Examples

data(massw)

---

Calculate Molar Mass of Compound

Description

molMass calculates the molar mass of any organic compound (and some salts) based on its chemical formula.

Usage

molMass(form)

Arguments

form	a chemical formula, as a character vector, e.g., "C6H12O6" for glucose or "CH3COOH" for acetic acid, or c("C6H12O6", "CH3COOH") for both at once.

Details

Standard atomic weights are from CIAAW, and were rounded to three or more digits (with the exception of Li) depending on the range of the reported interval for “normal materials”. In general form should follow capitalization rules for elements (i.e., first letter capitalized, second lower-case). However, if form contains single-letter elements only, it is possible to use lower-case letters for all elements (but for clarity this is not recommended). The function is vectorized.

Value

Numeric vector with length equal to length of form with molar mass (g/mol)

Author(s)

Charlotte Rennuit and Sasha D. Hafner

References

CIAAW <http://www.ciaaw.org/atomic-weights.htm>

See Also

calcCOD

Examples

molMass("C6H12O6")

  molMass("CH3COOH")

  molMass("CH3CH2OH")

  molMass("CH4")

  molMass("ch4")

  molMass(c("C6H12O6", "CH3COOH", "CH3CH2OH"))

  # Case-sentitive for two letter elements
  molMass("NaHCO3")

  # Complex formulas OK
  molMass("H3C(CH2)5COOH")

  molMass("(C6H12O6)0.24999 (H3COOH)0.75001")

  # Database is quite complete 
  molMass('CdSiO3')

  # Use care for, e.g., hydrates
  molMass('FeSO4(H2O)7')

---

Claculate Inoculum and Substrate Mass for BMP Experiments

Description

planBMP assists in the design of BMP experiments. It can be used to determine inoculum and substrate masses based on inoculum-to-substrate ratio and volatile solids concentrations, or to calculate inoculum-to-substrate ratio based on masses.

Usage

planBMP(vs.inoc, vs.sub, isr = NA, m.inoc = NA, m.sub = NA, 
        m.tot = m.inoc + m.sub, m.vs.sub = vs.sub*m.sub/1000,
        digits = 3, warn = TRUE, nice = TRUE)

Arguments

vs.inoc	volatile solids (VS) concentration of inoculum (g/kg = g VS per kg inoculum). Required. Numeric vector.
vs.sub	volatile solids (VS) concentration of substrate (g/kg = g VS per kg substrate). Required. Numeric vector.
isr	inoculum-to-substrate ratio, VS mass basis. Optional. Numeric vector.
m.inoc	total mass of inoculum (g). Optional. Numeric vector.
m.sub	total mass of substrate (g). Optional. Numeric vector.
m.tot	total mass of mixture (inoculum plus substrate) (g). Optional. Numeric vector.
m.vs.sub	VS mass of substrate (g). Optional. Numeric vector.
digits	number of significant digits to display in output. Default of 3. Integer vector with length 1.
warn	control whether warnings are displayed. Default of TRUE. Logical vector with length 1.
nice	control whether output is formatted to look nice and make reading easier. Default of TRUE. Only applied for non-vectorized (length 1) calls. Logical vector with length 1.

Details

BMP experiments should be designed giving consideration to the inoculum-to-substrate ratio (ISR), the substrate VS mass, and the mixture VS concentration. This function calculates inoculum and substrate masses based on VS concentrations and ISR, along with either total mixture mass or substrate VS mass. Alternatively, it can be used to calculate ISR if the masses have been selected. Warnings are based on the guidelines of Holliger et al. (2016).

Value

A named numeric vector, or (if any of the first 7 input arguments have a length > 1, i.e., a vectorized call), a data frame. Names and interpretation are identical to the first 7 input arguments, and also include:

vs.mix	VS concentration in mixture (g/kg)
m.vs.tot	total VS mass in mixture (g)

For non-vectorized calls, the results are returned invisibly and a easy-to-read summary is printed (see nice argument).

Note

Calculations used in this function are trivial, and they could also be done with a spreadsheet or even pencil and paper. The advantage here is ease and some flexibility. In addition to ISR and the other parameters included in this function, expected biogas production rate and bottle headspace volume are important, depending on the method. For more details, see Holliger et al. (2016).

Author(s)

Sasha D. Hafner, based on suggestion by Konrad Koch

References

Holliger, C., Alves, M., Andrade, D., Angelidaki, I., Astals, S., Baier, U., Bougrier, C., Buffiere, P., Carbella, M., de Wilde, V., Ebertseder, F., Fernandez, B., Ficara, E., Fotidis, I., Frigon, J.-C., Fruteau de Laclos, H., S. M. Ghasimi, D., Hack, G., Hartel, M., Heerenklage, J., Sarvari Horvath, I., Jenicek, P., Koch, K., Krautwald, J., Lizasoain, J., Liu, J., Mosberger, L., Nistor, M., Oechsner, H., Oliveira, J.V., Paterson, M., Pauss, A., Pommier, S., Porqueddu, I., Raposo, F., Ribeiro, T., Rusch Pfund, F., Stromberg, S., Torrijos, M., van Eekert, M., van Lier, J., Wedwitschka, H., Wierinck, I., 2016. Towards a standardization of biomethane potential tests. Water Science and Technology 74, 2515-2522.

See Also

calcBgVol, calcBgMan, calcBgGD, cumBg, summBg, predBg

Examples

# Bottles are 500 mL, substrate is wastewater sludge.
  # Assume we want no more than 250 mL reacting volume (~250 g)
  # First try setting ISR and total mass.
  # VS concentrations: 20 g/kg in inoculum, 70 g/kg for substrate, ISR = 2.
  planBMP(vs.inoc = 20, vs.sub = 70, isr = 2, m.tot = 250)
  # Get 31 g substrate, 220 g inoculum.
  
  # After setup, we can check final values.
  planBMP(vs.inoc = 18, vs.sub = 72, m.sub = 32, m.inoc = 218)
  # We didn't quite meet our target in this case--next time use more inoculum to be sure
  
  # We can alternatively specify substrate VS mass
  planBMP(vs.inoc = 20, vs.sub = 70, isr = 2, m.vs.sub = 2)
  
  # Some options
  planBMP(vs.inoc = 20, vs.sub = 70, isr = 2, m.vs.sub = 2, nice = FALSE)
  # Perhaps we want to use three different ISRs
  planBMP(vs.inoc = 20, vs.sub = 70, isr = 2:4, m.vs.sub = 2, nice = FALSE)

---

Predict Biogas Production

Description

predBg predicts biogas and methane production based on composition and other, optional, details.

Usage

predBg(form = NULL, mass = 1, mol = NULL, fs = 0, fd = 1, 
       mcomp = NULL, COD = NULL, conc.sub = NULL, pH = NULL, 
       temp = NULL, mu = 0.1, shortform = NULL, value = "CH4")

Arguments

form	(optional) a chemical formula for the substrate, as a character vector of length one, e.g., "C6H12O6" for glucose or "CH3COOH" for acetic acid.
mass	mass of substrate present, in g. A numeric vector.
mol	(optional) moles of substrate present. A numeric vector.
fs	fraction of substrate used for microbial biomass production (0<=fs<=1). See "Details". A numeric vector.
fd	fraction of substrate that is degradable (0<=fd<=1). See "Details". A numeric vector.
mcomp	(optional) “macromolecule”-based composition of the substrate. A named numeric vector with relative masses of macromolecular groups or any chemical. Options for macromolecular groups include: VFA (volatile fatty acids, VFAs), protein, carbohydrate, lipid, and lignin. An empirical form will be calculated from fixed chemical formulas. To see the available options, use biogas:::std.forms.
COD	(optional) chemical oxygen demand (COD) of the substrate (g oxygen). If provided, mass will be ignored. A numeric vector.
conc.sub	(optional) concentration of the substrate relative to water, as g substrate per kg water. Used only for carbon dioxide partitioning. A numeric vector.
pH	(optional) pH of the solution. Used only for carbon dioxide partitioning. A numeric vector.
temp	(optional) temperature of the system in degrees C. Used only for carbon dioxide partitioning. A numeric vector.
mu	(optional) ionic strength of the solution. Used only for carbon dioxide partitioning. A numeric vector.
shortform	should formula from form or mcomp arguments be shortened? Default is FALSE if form is used, TRUE if mcomp is used.
value	what should be returned? Four options are currently available. "CH4" (default) returns standardised methane volume only. "all" returns all available additional results. "reactionn" returns a numeric reaction (names are chemical species). "reactionc" returns a text reaction. Length-one character vector.

Details

predBg is a flexible function that returns different details depending on the data provided. Calculations can be based on form, COD, or mcomp (at least one of these is required). See ‘Examples’ for more information.

In its simplest usage, predBg calculates theoretical biochemical methane potential (theoretical BMP). With more parameters, it can also predict carbon dioxide partitioning, total biogas production and composition, as well as microbial biomass production and nitrogen requirement. Stoichiometry is based on Eq. 13.5 in Rittmann and McCarty (2001). Partitioning of carbon dioxide is based on an equilibrium speciation model using temperature-dependent parameters (Henry's law constant and dissociation constants) based on Hafner et al. (2012). predBg is vectorized for all arguments except mcomp, and will recycle argument elements as needed.

Value

Standardised volume (at 0 degrees C and 1 atmosphere) of methane produced in mL (for value = "CH4"), or a data frame with some of these columns (depending on provided arguments):

form	empirical chemical formula of substrate, typically from the input argument
mass	substrate mass in g, typically from the input argument
mol.mass	substrate molar mass in g/mol
moles	moles of subtrate
COD	total calculated oxygen demand (COD') based on form (or echoed chemical oxygen demand (COD)) of substrate in g oxygen
fs	fs argument echoed
fe	Rittmann and McCarty's fe (fe = 1 - fs)
fd	fd argument echoed
conc.sub	conc.sub argument echoed
temp	temp argument echoed
pH	pH argument echoed
hydro	hydrolytic water consumption (g water)
fCH4	moles methane producted divided by the sum of methane and carbon dioxide moles. Equal to xCH4 in biogas if carbon dioxide (and related aqueous species) in solution are negligible
xCH4	mole fraction of methane in dry biogas
vCH4	standardised volume (dry, 0 degrees C, 1.0 atm) of methane produced in mL
mCH4	mass of methane produced in g
mCO2	mass of carbon dioxide produced in g (including both biogas and inorganic carbon in solution)
mCO2Bg	mass of carbon dioxide in biogas in g
mCO2.sol	mass of inorganic carbon in solution in g
cTIC	concentration of inorganic carbon in solution in mol/kg (per kg water)
m.bio	mass of microbial biomass produced, VS only, in g
N.req	nitrogen required for production of required microbial biomass in g of N. Negative value indicates mineralization

Note

Predictions will only be as good as the parameter values provided, and maybe not even that good. fs should be interpreted as $f_s$ in Ritttmann and McCarty (2001), i.e., the effective value after decay of microbial biomass, and not $f_s^0$. The original reference (Section 2.3 and Eq. (3.33) in Rittmann and McCarty (2001)) and the predBg vignette provide more details. Partitioning of carbon dioxide is based on equilibrium between all biogas produced and the solution, and represents a continuous reactor running at steady-state.

Author(s)

Sasha D. Hafner and Charlotte Rennuit

References

Hafner, S.D. 2007 Ammonia Speciation in Anaerobic Digesters. PhD dissertation, Cornell University.

Hafner, S.D., Montes, F., Rotz, C.A. 2012 The role of carbon dioxide in emission of ammonia from manure. Atmospheric Environment 66, 63-71.

Moller, H.B., Sommer, S.G., Ahring, B.K. 2004 Methane productivity of manure, straw and solid fractions of manure. Biomass and Bioenergy 26, 485-495.

Rittmann, B., McCarty, P. 2001 Environmental Biotechnology. McGraw-Hill.

Triolo, J.M., Sommer, S.G., Moller, H.B., Weisbjerg, M.R., Jiang, X.Y. 2011 A new algorithm to characterize biodegradability of biomass during anaerobic digestion: Influence of lignin concentration on methane production potential. Bioresource Technology 102, 9395-9402.

See Also

calcCOD, molMass

Examples

# BMP of cellulose in mL CH4/g
  predBg("C6H10O5")

  # How much is produced in a real reactor? Assume 10% goes to 
  # biomass production
  predBg("C6H10O5", fs = 0.1)

  # And substrate is 80% degradable
  predBg("C6H10O5", fs = 0.1, fd = 0.8)

  # More detailed results
  predBg("C6H10O5", value = "all")

  # Given a substrate with a COD of 1.4 g
  predBg(COD = 1.4)

  # But CH4 production is reduced if substrate is 80% degradable 
  # and 10% goes to cell synthesis
  predBg(COD = 1.4, fd = 0.8, fs = 0.1)

  # Can use macromolecule composition, e.g., for pig manure
  predBg(mcomp = c(vfa = 0.2, protein = 0.25, carbohydrate = 0.32, 
                   lipid = 0.15, lignin = 0.08), 
         value = "all")

  # Function expects sum(mcomp) == 1 but this is not required
  # But unless mass is set, mass is taken as sum(mcomp)
  predBg(mcomp = c(vfa = 20, protein = 25, carbohydrate = 32, 
                   lipid = 15, lignin = 8), 
         value = "all")

  # Specify mass if this is not the case
  predBg(mcomp = c(vfa = 20, protein = 25, carbohydrate = 32, 
                   lipid = 15, lignin = 8), 
         mass = 1, value = "all")

  # Can mix formulas and macromolecular groups in mcomp
  predBg(mcomp = c(C6H12O6 = 0.5, protein = 0.5))

  # For CO2 partitioning, must provide conc.sub, pH, and temp 
  # cattle manure example from Hafner (2007)
  predBg("C13H20O11N", mass = 1, fs = 0.1, fd = 0.56, 
         conc.sub = 85, pH = 7.7, temp = 35, value = "all")

  # Or, mix of waste paper and waste vegetable oil from vignette
  predBg(mcomp = c(C6H10O5 = 5/6, C54H100O7 = 1/6), mass = 1, 
	 fd = 0.8, fs = 0.1, conc.sub = 50, pH = 7.5, temp = 35, 
	 value = "all")

  # Note that form can also be used for mixtures, but here it is 
  # molar ratios that are specified
  predBg('(C6H10O5)5(C54H100O7)1)', mass = 1, 
	 fd = 0.8, fs = 0.1, conc.sub = 50, pH = 7.5, temp = 35, 
	 value = "all")
  
  # Function is vectorized for everything except mcomp, e.g., 
  # fs
  predBg("C6H10O5", fs = c(0, 0.05, 0.1), value = "all")

  # form
  predBg(c("C6H10O5", "C10H19O3N", "CH3CH2OH"), value = "all")
  
  # pH
  predBg("C13H20O11N", conc.sub = 85, fs = 0.1, fd = 0.56, 
         pH = 7+0:10/10, temp = 35, value = "all")

---

Methane Content of Biogas from Batch Reactors

Description

Methane content (biogas composition) measurements from three batch bottles, organized in a “long” format.

Usage

data("s3compl")

Format

A data frame with 14 observations on the following 3 variables:

id

identification code, a unique value for each bottle in the dataset.

time.d

elapsed time of mass measurements (from bottle setup) in days, a numeric vector.

xCH4

biogas methane content as a mole fraction, excluding water and all other gases other than carbon dioxide, a numeric vector

Details

These data are meant to be example data for cumBg. Reactors were 300 mL glass serum bottles with butyl rubber septa and screw caps. Substrate was municipal wastewater sludge. Methane and carbon dioxide contents were determined by gas chromatography using a thermal conductivity detector and normalised so methane and carbon dioxide sum to 1.0. Data in s3voll, s3compl, s3volw, s3compw, and s3lcombo are from the same bottles.

Source

Sasha D. Hafner. Measurements by Johanna Maria Pedersen.

Examples

data(s3compl)

---

Methane Content of Biogas from Batch Reactors

Description

Methane content (biogas composition) measurements from three batch bottles, organized in a “wide” format.

Usage

data("vol")

Format

A data frame with 5 observations on the following 4 variables:

time.d

elapsed time of mass measurements (from bottle setup) in days, a numeric vector.

D

biogas methane content at time from bottle “D” as mole fraction, a numeric vector.

E

biogas methane content at time from bottle “E” as mole fraction, a numeric vector.

F

biogas methane content at time from bottle “F” as mole fraction, a numeric vector.

Details

These data are meant to be example data for cumBg. Reactors were 300 mL glass serum bottles with butyl rubber septa and screw caps. Substrate was municipal wastewater sludge. Methane and carbon dioxide contents were determined by gas chromatography using a thermal conductivity detector and normalised so methane and carbon dioxide sum to 1.0. Data in s3voll, s3compl, s3volw, s3compw, and s3lcombo are from the same bottles.

Source

Sasha D. Hafner. Measurements by Johanna Maria Pedersen.

Examples

data(s3compw)

---

Biogas Volume and Methane Content from Batch Bottles

Description

Biogas volume and methane content measurements from three batch bottles, organized in a “long” format.

Usage

data("s3lcombo")

Format

A data frame with 21 observations on the following 4 variables:

id

identification code, a unique value for each bottle in the dataset.

time.d

elapsed time of mass measurements (from bottle setup) in days, a numeric vector.

vol.ml

volume of biogas removed at time in mL, a numeric vector.

xCH4

biogas methane content as a mole fraction, excluding water and all other gases other than carbon dioxide, a numeric vector

Details

These data are meant to be example data for cumBg. Reactors were 300 mL glass serum bottles with butyl rubber septa and screw caps. Substrate was municipal wastewater sludge. Volume was measured using syringes. Methane and carbon dioxide contents were determined by gas chromatography using a thermal conductivity detector and normalised so methane and carbon dioxide sum to 1.0. Data in s3voll, s3compl, s3volw, s3compw, and s3lcombo are from the same bottles.

Source

Sasha D. Hafner. Measurements by Johanna Maria Pedersen.

Examples

data(s3lcombo)

---

Biogas Volume from Batch Bottles

Description

Biogas volume measurements from three batch bottles, organized in a “long” format.

Usage

data("s3voll")

Format

A data frame with 21 observations on the following 4 variables:

id

identification code, a unique value for each bottle in the dataset.

time.d

elapsed time of mass measurements (from bottle setup) in days, a numeric vector.

vol.ml

volume of biogas removed at time in mL, a numeric vector.

cvol.ml

cumulative sum of vol.

Details

These data are meant to be example data for cumBg. Reactors were 300 mL glass serum bottles with butyl rubber septa and screw caps. Substrate was municipal wastewater sludge. Volume was measured using syringes. Data in s3voll, s3compl, s3volw, s3compw, and s3lcombo are from the same bottles.

Source

Sasha D. Hafner. Measurements by Johanna Maria Pedersen.

Examples

data(s3voll)

---

Biogas Volume from Batch Reactors

Description

Biogas volume measurements from three batch bottles, organized in a “wide” format.

Usage

data("vol")

Format

A data frame with 7 observations on the following 5 variables:

time.d

elapsed time of mass measurements (from bottle setup) in days, a numeric vector.

D

volume of biogas removed at time from bottle “D” in mL, a numeric vector.

E

volume of biogas removed at time from bottle “E” in mL, a numeric vector.

F

volume of biogas removed at time from bottle “F” in mL, a numeric vector.

Details

These data are meant to be example data for cumBg. Reactors were 300 mL glass serum bottles with butyl rubber septa and screw caps. Volume was measured using syringes. Data in s3voll, s3compl, s3volw, s3compw, and s3lcombo are from the same bottles.

Source

Sasha D. Hafner. Measurements by Johanna Maria Pedersen.

Examples

data(vol)

---

Setup Details for Batch Reactors

Description

Description of reactor substrates and information on reactor, substrates and, inoculum initial masses for twelve anaerobic reactors.

Usage

data("setup")

Format

A data frame with 12 observations on the following 11 variables:

id

identification code, a unique value for each reactor in the dataset. A factor with levels 2_1, 2_2, 2_3, 2_4, 2_5, 2_6, 2_7, 2_8, 2_9, 2_10, 2_11, and 2_12

descrip

description of substrate, a factor with levels A B inoc.

msub

mass of substrate added to the reactor at the start in g, a numeric vector.

minoc

mass of inoculum added to the reactor at the start in g, a numeric vector.

mvs.sub

mass of volatile solids (VS) of substrate added to the reactor at the start in g, a numeric vector.

mvs.inoc

mass of volatile solids (VS) of inoculum added to the reactor at the start in g, a numeric vector.

mcod.sub

mass of chemical oxygen demand (COD) of substrate added to the reactor at the start in g oxygen, a numeric vector.

mcod.inoc

mass of chemical oxygen demand (COD) of inoculum added to the reactor at the start in g oxygen, a numeric vector.

m.tot

total mass added to the reactor at the start in g, a numeric vector.

mvs.tot

total mass of VS in the reactor at the start in g, a numeric vector.

mcod.tot

total mass of COD in the reactor at the start in g oxygen, a numeric vector.

Details

These data are meant to be example data for summBg. Reactors were 500 mL glass serum bottles with butyl rubber septa and screw caps. Data in vol, mass, massw, comp, and setup are from the same reactors.

Source

Measurements made by Charlotte Rennuit and Ali Heidarzadeh Vazifehkhoran

Examples

data(setup)

---

Setup Details for Some Batch Reactors

Description

Information on reactor substrates and substrate and inoculum masses for 15 anaerobic reactors.

Usage

data("setup2")

Format

A data frame with 15 observations on the following 4 variables:

bottle

identification code, a unique value for each reactor in the dataset. A factor with levels 1_1, 1_2, 1_3, 2_1, 2_2, 2_2, ... through 5_3. The first number indicates the sample, the second the replicate.

description

description of substrate, a factor.

sub.vs

mass of substrate volatile solids (VS) added to the reactor at the start in g, a numeric vector

inoc.mass

mass of inoculum added to the reactor at the start in g, a numeric vector.

Details

These data are meant to be example data for summBg. Reactors were 500 mL or 1000 mL glass serum bottles with butyl rubber septa and screw caps. Data in vol2, xCH42, and setup2 are from the same reactors.

Source

Measurements made by Ali Heidarzadeh Vazifehkhoran

Examples

data(setup2)

---

Headspace Pressure, Mass measurements, and Methane and Carbondioxid Content from Batch Bottles

Description

Interval-based measurements of headspace pressure, mass, and methane and carbondioxide content from anaerobic batch bottles, organized in a “longcombo” format.

Usage

data("sludgeTwoBiogas")

Format

A data frame with 224 observations on the following 8 variables:

id

identification code, a unique value for each bottle in the dataset.

time.d

elapsed time of mass and pressure measurements in days, a numeric vector.

pres

bottle headspace pressure at time in mbar (gauge), a numeric vector

mass.init

total reactor mass at the start of its incubation in g, a numeric vector.

mass.final

total reactor mass at the end of its incubation in g, a numeric vector.

xCH4

biogas methane content as a mole fraction, excluding water, a numeric vector

xCO2

biogas carbon dioxide content as a mole fraction, excluding water, a numeric vector

xCH4n

biogas methane content as a mole fraction in dry biogas, normalized so the sum of mole fractions of CH$_4$ and CO$_2$ is unity, a numeric vector.

Details

These data are meant to be example data for cumBg and calcBgMan for respectively, gravimetric and manometric determination of biogas production. BMP test were carried out in 160 mL serum bottles sealed with a butyl rubber septum retained with an aluminum crimp seal at mesophilic conditions (37 degrees C). Substrate was primary wastewater sludge.

Cumulative methane production was measured from the same set of bottles by both manometric and gravimetric methods. BMP was evaluated at 18 days At each sampling event, headspace pressure was measured using a manometer and composition (CH4 and CO2) with a gas chromatograph). All reported pressure measurements are gauge unless stated otherwise. After each sampling event, the headspace of the serum bottles (including blanks) was vented to near atmospheric pressure.

Data in sludgeTwoBiogas and sludgeTwoSetup are from the same batch bottles.

Source

Data were originally collected by Sergi Astals at the University of Queensland and are described in the following paper. Hafner, S.D., Astals, S. 2019.Systematic error in manometric measurement of biochemical methane potential: Sources and solutions. Waste Management 91, 147-155.

Examples

data(sludgeTwoBiogas)

---

Setup Details for Batch Reactors

Description

Description of reactor substrates and information on bottle, substrates, inoculum initial masses, and headspace volume for 18 anaerobic bottles with primary wastewater sludge for substrate.

Usage

data("sludgeTwoSetup")

Format

A data frame with 18 observations on the following 5 variables:

id

identification code, a unique value for each bottle in the dataset. Numeric with all values within a range of 1-21.

descrip

treatment of the substrate (primary wastewater sludge), a character.

vol.hs

bottle headspace volume, in mL. A numeric vector.

m.inoc

mass of inoculum added to the bottle at the start in g, a numeric vector.

m.sub.vs

mass of volatile solids (VS) of substrate added to the reactor at the start in g, a numeric vector.

Details

These data are meant to be example data for summBg. Substrate was primary wastewater sludge.

BMP test were carried out in 160 mL serum bottles sealed with a butyl rubber septum retained with an aluminum crimp seal at mesophilic conditions (37 degrees C). All bottles contained inoculum and the amount of primary sludge required to achieve an inoculum-to-substrate ratio (ISR) of 2 (VS basis). Bottles containing only inoculum (blanks) were used to correct for the background CH4 potential of the inoculum (endogenous CH4 production).

Data in sludgeTwoBiogas and sludgeTwoSetup are from the same batch bottles.

Source

Data were originally collected by Sergi Astals at the University of Queensland and are described in the paper listed below. Hafner, S.D., Astals, S. 2019.Systematic error in manometric measurement of biochemical methane potential: Sources and solutions. Waste Management 91, 147-155.

Examples

data(sludgeTwoSetup)

---

Correct Gas Volume to 'Standard' Conditions

Description

stdVol corrects gas volumes to dry conditions at a specified temperature and pressure.

Usage

stdVol(vol, temp, pres, rh = 1, 
       temp.std = getOption('temp.std', as.numeric(NA)), 
       pres.std = getOption('pres.std', as.numeric(NA)), 
       unit.temp = getOption('unit.temp', 'C'), 
       unit.pres = getOption('unit.pres', 'atm'), 
       std.message = TRUE, warn = TRUE)

Arguments

vol	measured gas volume at temp temperature, pres pressure, and rh relative humidity. A numeric vector.
temp	temperature of gas in degrees C by default (see unit.temp). A numeric vector.
pres	pressure of gas in atm by default (see unit.pres). A numeric vector.
rh	relative humidity of the gas (0<= rh <= 1). Typically should be 1.0 (the default). A numeric vector.
temp.std	"standard" temperature. Default value is 0 degrees C.
pres.std	"standard" pressure. Default value is 1.0 atm.
unit.pres	pressure units for pres and pres.std arguments. Options are "atm" (the default), "Pa", "kPa", "hPa", and "bar".
unit.temp	temperature units for temp and temp.std arguments. Options are "C" (degrees Celcius), "F" (degrees Fahrenheit), and "K" (Kelvin).
std.message	should a message with the standard conditions be displayed? Default is TRUE.
warn	if TRUE, will return a warning if temperature is below 0 C or above 100 C, or if pressure is below 50 kPa or above 150 kPa.

Details

Standardisation is done in a two-step process following Hafner et al. (2015). First, the contribution of water vapor is removed and volume is corrected to the standard pressure:

vd = vm*(pm - rh*pw)/ps

where vd = dry volume at standard pressure ps, vm = measured volume at pressure pm, pw = saturation vapor pressure of water (all pressures in Pa), and rh = relative humidity (rh above). Water vapor pressure pw is calculated from the Magnus form equation given in Alduchov and Eskridge (1996) (Eqs. (21) and (22)). In the second step, the volume is adjusted for temperature.

vs = vd*Ts/T

where vs = standardised volume and Ts = standardisation temperature (K, converted from temp.std argument). This approach is based on Charles's and Boyle's laws. Comparison with calculations using the Peng-Robinson equation of state suggests that error in stdVol is around 0.1% for typical biogas with volume measured at 25 degrees C, and higher at higher temperatures (up to 0.3% at 55 degrees C).

Standard temperature and pressure and their units can be defined by the user using the temp.std, pres.std, temp.unit, and pres.unit arguments. Alternatively, standard values and units of temperature and pressure can be globally set using the function options. Default values are 0 degrees C and 1.0 atm. stdVol is vectorized, and if one argument has a shorter length than the others, it will be recycled.

Value

Standardised gas volume in the same units as vol. A numeric vector.

Author(s)

Sasha D. Hafner and Charlotte Rennuit

References

Hafner, S.D., Rennuit, C., Triolo, J.M., Richards, B.K. 2015. Validation of a simple gravimetric method for measuring biogas production in laboratory experiments. Biomass and Bioenergy 83, 297-301.

Richards, B.K., Cummings, R.J., White, T.E., Jewell, W.J. 1991. Methods for kinetic analysis of methane fermentation in high solids biomass digesters. Biomass and Bioenergy 1, 65-73.

See Also

cumBg, summBg, stdVol, options

Examples

# 100 mL, measured at 35 C
  stdVol(100, temp = 35, pres = 1)

  # Or, with different units
  stdVol(100, temp = 35, pres = 103, unit.pres = "kPa", pres.std = 101.325)
  
  # Vectorized
  data(vol)
  head(vol)
  vol$vol.std <- stdVol(vol$vol, temp = 20, pres = 1.02)
  head(vol)
  
  #using options() (recommended!)
  oldoptions <- options(temp.std = 273.15, pres.std = 101325, 
                        unit.temp = 'K', unit.pres = 'Pa')
  vol$vol.std <- stdVol(vol$vol, temp = 293.15, pres = 101325)
  head(vol)
  options(oldoptions)

---

Methane Content of Biogas

Description

Methane content (biogas composition) measurements from 12 anaerobic batch reactors with straw for substrate.

Usage

data("comp")

Format

A data frame with 63 observations on the following 4 variables.

bottle

identification code, a unique value for each reactor in the dataset. Integer with all values from 1 to 12.

date.time

date and time of mass measurement, a POSIXct object.

time

elapsed time of mass measurements (from reactor setup) in days, a numeric vector.

xCH4

biogas methane content as a mole fraction, excluding water and all other gases other than carbon dioxide, a numeric vector

Details

These data are meant to be example data for cumBg. Reactors were ca. 600 mL glass serum bottles with butyl rubber septa and screw caps. Pressure was measured using an electronic manometer. Data in strawMass, strawSetup, and strawPressure are from the same reactors.

Source

Measurements by Charlotte Rennuit.

Examples

data(strawComp)

---

Mass Change of Batch Reactors

Description

Mass measurements for 12 batch anaerobic reactors with ground straw as a substrate.

Usage

data("mass")

Format

A data frame with 89 observations on the following 4 variables.

bottle

identification code, a unique value for each reactor in the dataset. Integer with all values from 1 to 12.

date.time

date and time of mass measurement, a POSIXct object.

time

elapsed time of mass measurements (from reactor setup) in days, a numeric vector.

mass

total reactor mass in g, a numeric vector.

Details

These data are meant to be example data for mass2vol or cumBg, for gravimetric determination of biogas production. Reactors were ca. 600 mL glass serum bottles with butyl rubber septa and screw caps. Masses were measured with an electronic balance to 10 mg. Data in strawPressure, strawSetup, and strawComp are from the same reactors.

Source

Measurements by Charlotte Rennuit.

Examples

data(strawMass)

---

Headspace Pressure in Batch Reactors

Description

Interval-based measurements of headspace pressure in 12 anaerobic batch reactors with straw as the substrate.

Usage

data("strawPressure")

Format

A data frame with 72 observations on the following 5 variables:

bottle

identification code, a unique value for each reactor in the dataset. Integer with all values from 1 to 12.

date.time

date and time of mass measurement, a POSIXct object.

time

elapsed time of mass measurements (from reactor setup) in days, a numeric vector.

pres

absolute bottle headspace pressure at the stated time, in kPa. Biogas accumulated in bottles from the previous time.

pres.resid

absolute bottle headspace pressure after venting, in kPa.

Details

These data are meant to be example data for cumBg. Reactors were ca. 600 mL glass serum bottles with butyl rubber septa and screw caps. Pressure was measured using an electronic manometer. Data in strawMass, strawSetup, and strawComp are from the same reactors.

Source

Measurements by Charlotte Rennuit.

Examples

data(vol)

---

Setup Details for Batch Reactors

Description

Description of reactor substrates and information on reactor, substrates and, inoculum initial masses for 12 anaerobic reactors with straw for substrate.

Usage

data("setup")

Format

A data frame with 12 observations on the following 6 variables:

bottle

identification code, a unique value for each reactor in the dataset. Integer with all values from 1 to 12.

treatment

treatment of the substrate (ground straw), a factor.

start

starting date and time, when the reactors were set up.

sub.mass

mass of substrate added to the reactor at the start in g, a numeric vector.

inoc.mass

mass of inoculum added to the reactor at the start in g, a numeric vector.

headspace

bottle headspace volume, in mL. A numeric vector.

Details

These data are meant to be example data for summBg. Reactors were ca. 600 mL glass serum bottles with butyl rubber septa and screw caps. Masses were measured with an electronic balance to 10 mg. Data in strawPressure, strawMass, and strawComp are from the same reactors.

Source

Measurements by Charlotte Rennuit.

Examples

data(setup)

---

Summarise and Normalise Cumulative Methane Production

Description

From cumulative gas production, use summBg to standardise, interpolate, subtract innoculum contribution, normalise by substrate mass, and summarise the output calculating mean and standard devations for each type of sample (groups of replicates). The function is flexible: some, all, or none of these operations can be carried out in a call. Typically summBg is used to calculate biochemical methane potential (BMP) from cumulative methane production.

Usage

summBg(vol, setup, id.name = "id", time.name = "time", 
       descrip.name = "descrip", inoc.name = NULL, inoc.m.name = NULL,
       norm.name = NULL, norm.se.name = NULL,  vol.name = "cvCH4", 
       imethod = "linear", extrap = FALSE, when = 30, 
       when.min = 0, rate.crit = 'net', 
       show.obs = FALSE, show.rates = FALSE, show.more = FALSE,
       sort = TRUE, set.name = 'set', quiet = FALSE)

Arguments

vol	a data frame with the columns bottle identification code; time of measurement (as numeric, or POSIX); and the response variable biogas volume or cumulative volume. The names of these columns can be specified with id.name, time.name, and vol.name. Or, the default names can be used. Additional columns can be present– these will be returned in the output data frame. Optional: as of version 1.11.5, vol can be a list of suitable data frames. This is convenient for comparing different approaches for calculating methane production, for example.
setup	a data frame containing information to summarise, substract inoculum effect or normalise the data. Should contain at least the column id.name (bottle identification code), and the additional columns depending on the operations desired. See ‘Details’ for more information.
id.name	name of the bottle identification code column in vol and setup. Should be the same in all data frames used in the function. Default is "id".
time.name	name of column containing time data in vol. Default is "time".
descrip.name	(optional) name of column containing a description of bottle substrate (or a code for this) in setup data frame. The summary of the data will be made following this column. Default is "descrip".
inoc.name	(optional) the value in the descrip.name (setup data frame) column that is used to describe the inoculum-only bottles. Length one character vector. Argument not used by default.
norm.name	(optional) the name of the column in setup that has the mass to perform the normalisation (typically substrate VS mass). Length one character vector. Argument not used by default.
norm.se.name	(optional) the name of the column in setup that has the standard error of the data in the column norm.name. Length one character vector. If provided, this error in substrate mass will be included in the standard error and standard deviation given in the output. Argument not used by default.
inoc.m.name	(optional) the name of the column in setup that has inoculum mass. If specified, these data are used to subtract the inoculum contribution to methane production. Length one character vector. Default is "minoc".
vol.name	the name of the column(s) in vol that contains the response variable used for the summary–typically cumulative methane volume. The default is "cvCH4" for cumulative volume of methane (CH4). Optional: as of version 1.12.0, vol.name may be a vector with length > 1. In this case each response variable will be used and results will be returned for all, together in a single data frame. Character vector.
imethod	the interpolation method to be used. This is passed as the method argument to interp. Length one character vector. Default is "linear" for linear interpolation.
extrap	should extrapolation be carried out? Set to TRUE if extrapolation wanted. Length one logical vector. This is passed as the extrap argument to interp. Default is FALSE
when	value(s) of time.name in vol data frame at which the results should be evaluated. Alternatively, set to "end" (to return the latest values for each bottle) or "meas" (to return a value for each measured time for each bottle). To select a time for each bottle based on the methane production rate, use, e.g., "1p3d" for 1% per day for at least 3 d (any values can be used, even something impractical like "0.1p10d"). In this case, the earliest time where production rate drops below 1% of cumulative production per day for at least 3 days will be used. Where this time differs for multiple bottles with the same descrip.name, the latest one will be used. Numeric or character vector or list (use a list for, e.g., list("1p3d", "end", 30)).
when.min	minimum duration (value of when) to be used with a relative duration criterion, e.g., if you want "1p3d" but no less than 15 days set when.min = 15. Ignored if when is numeric. Default is Inf (no limit).
rate.crit	type of rate criterion to be applied for relative when, e.g., when = "1p3d" and rate.crit = "net" is based on net gas production (after subtracting incoulum contribution). Options are "net" or "gross".
show.obs	set to TRUE to return all observations, otherwise means and standard deviations are returned. Default is FALSE.
show.rates	set to TRUE to return all observations with relative rates. Used to check rates for evaluation time. The when argument will be ignored if show.rates = TRUE. Default is FALSE.
show.more	set to TRUE to return additional details, including fraction of total methane produced by inoculum. Default is FALSE.
sort	controls sorting of results, which is by descrip.name and then time.name by default. Set to FALSE to use order of descrip.name from the setup data frame. Default is TRUE.
set.name	column name in result for set of observations, corresponding to elements in vol when it is a list.
quiet	use to suppress messages. Default is FALSE.

Details

summBg was primarily designed to calculate the biochemical methane potential (BMP) from cumulative methane production of a set of batch bottles through these steps: interpolation of cumulative production to a specified time (if needed), subtratction of apparent innoculum contribution, normalisation of the results by substrate mass (typically volatile solids (VS) mass, but could be the mass of anything within the bottle) and calculation of mean and standard deviation for each sample type (set of replicates, identified by descrip.name).

If needed summBg can return values for all observations and be used for simpler operations e.g., determining cumulative biogas production at some specified time or normalising gas volume by different substrate characteristics.

To summarise data, the setup data frame should have a column with a description of bottle substrate (or a code for this). The name of the column is set by the descrip.name argument. If the inoculum effect is to be subtracted out, a column named descrip.name (for identifying replicates) and a column with the mass of inoculum present (any units), with a name set by inoc.m.name are both required in setup. To normalise by substrate mass (or any mass to be used for normalisation), an additional column with the mass of substrate is needed in setup –its name is set by norm.name.

This function is probably easier to understand by example. See ‘Examples’.

Value

a data frame, with the colums:

descrip	from the input data frame setup
mean	mean of the response variable vol.name, typically after subtraction of inoculum contribution and normalization by substrate mass
sd	standard deviation of the response variable vol.name
se	standard error of the response variable vol.name
n	number of bottles

If show.more = TRUE additional columns are returned: summ2 <- summ2[ , c(descrip.name, time.name, 'mean', 'se', 'sd', 'n', 'rsd.inoc', 'fv.inoc', 'se1', 'se2', 'se3')]

rsd.inoc	relative standard deviation in specific vol.name (methane) production by inouclum among replicates
fv.inoc	(mean) fraction of bottle vol.name (methane) estimated to have come from inoculum
se1	standard error contribution from variation among replicate substrate bottles
se2	standard error contribution from variation among inoculum-only bottles
se2	standard error contribution from uncertainty in substrate mass addition

If show.obs = TRUE even more columns are returned:

cvCH4.tot	name based on vol.name, total vol.name produced by bottle, normalization applied as for vol.name (and may be nonsensical)
cvCH4.inoc	name based on vol.name, vol.name produced by bottle estimated as coming from inoculum, normalization applied as for vol.name (and may be nonsensical)
se.inoc	standard error from inoculum used to calculate se2
cvCH4.se	name based on vol.name, standard error from substrate mass used to calculate se3

Note

Reported standard deviation and standard error includes an estimate of variability from subtracting the inoculum contribution when this is done.

Author(s)

Sasha D. Hafner and Charlotte Rennuit

See Also

cumBg

Examples

data("vol")
data("comp") 
data("setup") 

# First need to calculate cumulative methane production data
cum.prod <- cumBg(vol, comp = comp, temp = 20, pres = 1, 
                  time.name = "days", extrap = TRUE)

head(cum.prod)

# Cumulative methane production (default) at 30 d 
# Uses default names for some columns
summBg(vol = cum.prod, setup = setup, time.name = "days", when = 30)

# Or total cumulative biogas
summBg(vol = cum.prod, setup = setup, time.name = "days", 
       vol.name = "cvBg", when = 30)

# Cumulative CH4 only, subtract inoculum contribution
summBg(vol = cum.prod, setup = setup, time.name = "days", 
       inoc.name = "inoc", inoc.m.name = "minoc", when = 30)

# And normalise by mvs.sub column (mass of substrate VS here) (so the result is BMP)
summBg(vol = cum.prod, setup = setup, time.name = "days", 
       inoc.name = "inoc", inoc.m.name = "minoc", when = 30, 
       norm.name = "mvs.sub")

# Same example, but return results for three times
summBg(vol = cum.prod, setup = setup, time.name = "days", 
       inoc.name = "inoc", inoc.m.name = "minoc", when = c(10, 30, 60), 
       norm.name = "mvs.sub")

# Back to earlier example, but return all individual observations 
# (and total production and individual contributions of substrate 
# and inoculum) 
summBg(vol = cum.prod, setup = setup, time.name = "days", 
       inoc.name = "inoc", inoc.m.name = "minoc", when = 30, 
       norm.name = "mvs.sub", show.obs = TRUE)

# Something different: interpolated biogas production rates
summBg(vol = cum.prod, setup = setup, time.name = "days", 
       vol.name = "rvBg", when = 30, show.obs = TRUE)

# The when argument could also be 'meas', 'end', or '1p3d' (or related) for any of these examples 
summBg(vol = cum.prod, setup = setup, time.name = "days", 
       inoc.name = "inoc", inoc.m.name = "minoc", when = "end", 
       norm.name = "mvs.sub")

summBg(vol = cum.prod, setup = setup, time.name = "days", 
       inoc.name = "inoc", inoc.m.name = "minoc", when = "meas", 
       norm.name = "mvs.sub")

summBg(vol = cum.prod, setup = setup, time.name = "days", 
       inoc.name = "inoc", inoc.m.name = "minoc", when = "1p3d", 
       norm.name = "mvs.sub")

# Or combine multiple values of when in a list

summBg(vol = cum.prod, setup = setup, time.name = "days", 
       inoc.name = "inoc", inoc.m.name = "minoc", 
       when = list(30, "1p3d", "end"), 
       norm.name = "mvs.sub")

# If you want to apply the 1% criterion but also want a single fixed time for all bottles,
# you have to use two calls
summBg(vol = cum.prod, setup = setup, time.name = "days", 
       inoc.name = "inoc", inoc.m.name = "minoc", when = "1p3d", 
       norm.name = "mvs.sub")

# From the first call, the longest time is 42 days, so use when = 42
summBg(vol = cum.prod, setup = setup, time.name = "days", 
       inoc.name = "inoc", inoc.m.name = "minoc", when = 42, 
       norm.name = "mvs.sub")

# If an error is thrown because a bottle doesn't meet the 1% criterion, use 
# show.rates = TRUE to see rates
## Not run: 
# Will return error
cpshort <- cum.prod[cum.prod$days < 10, ]
summBg(vol = cpshort, setup = setup, time.name = "days", 
       inoc.name = "inoc", inoc.m.name = "minoc", when = "1p", 
       norm.name = "mvs.sub")

## End(Not run)

# So then use this to see which bottles are causing problems
cpshort <- cum.prod[cum.prod$days < 10, ]
summBg(vol = cpshort, setup = setup, time.name = "days", 
       inoc.name = "inoc", inoc.m.name = "minoc", when = "1p", 
       norm.name = "mvs.sub", show.rates = TRUE)


# Example with dataset with different column names
data("vol2")
data("comp2")
data("setup2")

# First need to calculate cumulative methane production data
cum.prod <- cumBg(vol2, comp = comp2, temp = 20, pres = 1, 
                  id.name = "bottle", time.name = "days", 
		  dat.name = "meas.vol", comp.name = "CH4.conc", 
                  extrap = TRUE)

head(cum.prod)

# Cumulative CH4 production at 30 d, subtract inoculum contribution 
# and normalise by sub.vs column (mass of substrate VS here) (look at setup2).
summBg(vol = cum.prod, setup = setup2, id.name = "bottle", 
       time.name = "days", descrip.name = "description", 
       inoc.name = "Inoculum", inoc.m.name = "inoc.mass", 
       norm.name = "sub.vs", when = 30)

---

Biogas Volume and Mass Loss from BMP bottles

Description

Gas density biochemical methane potential (GD-BMP) measurements for 9 batch anaerobic bottles.

Usage

data("UQGDBiogas")

Format

A data frame with 135 observations on the following variables.

id

identification code, a unique value for each bottle in the dataset. A factor.

time.d

elapsed time of measurements (from bottle setup) in days, a numeric vector.

vol

measured biogas volume at the end of a sampling interval, a numeric vector.

mass.init

total bottle mass prior to biogas venting in g, a numeric vector.

mass.final

total bottle mass after biogas venting in g, a numeric vector.

Details

These data are meant to be example data for calcBgGD, for gas density-based determination of biogas production (GD-BMP). Reactors were glass serum bottles with butyl rubber septa. Masses were measured with an analytical balance. Data in UQGDSetup are from the same bottles.

Source

Measurements were made by Sergi Astals and are described in the following paper.

Justesen, C.G., Astals, S., Mortensen, J.R., Thorsen, R., Koch, K., Weinrich, S., Triolo, J.M., Hafner, S.D. 2019. Development and validation of a low-cost gas density method for measuring biochemical potential (BMP) Water (MDPI) 11(12): 2431.

Examples

data(UQGDBiogas)

---