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biogas

Tools for biogas research in R: process biogas data and predict biogas production.
https://github.com/sashahafner/biogas

Category: Renewable Energy
Sub Category: Bioenergy

Last synced: about 20 hours ago
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Tools for biogas research in R: process biogas data and predict biogas production

README.md

Overview

The biogas package is an R package for biogas research.
It provides tools for processing biogas data, predicting biogas production, making conversions, and planning experiments.
For example, the calcBgVol() function can be used for calculating biochemical methane potential from original measurements.
The calcCOD() function can calculate the chemical oxygen demand of a compound based on a chemical formula.
And the planBMP() function can suggest substrate or inoculum quantities for a biochemical methane potential (BMP) experiment based on multiple constraints.

An example

Much of the biogas package is dedicated to processing of laboratory measurements, but those functions are difficult to demonstrate in a short example.
So, an alternative is the predBg() microbial stoichiometry function.
With it, the theoretical maximum BMP of, say, cellulose, could be calculated with

> predBg("C6H10O5")
[1] 413.7274

and we could get a lot more information, including an estimate of biogas composition as affected by pH, for a 5:1 mixture of waste paper and waste oil with

> predBg(mcomp = c(C6H10O5 = 5/6, C54H100O7 = 1/6), mass = 1,
fd = 0.8, fs = 0.1, conc.sub = 50, pH = c(6.5, 7, 8.5),
temp = 35, value = "all")
                      form mass mol.mass      moles      COD  fs  fe  fd
1 C1.52618H2.61516O1.00000    1  36.9655 0.02705225 1.454303 0.1 0.9 0.8
2 C1.52618H2.61516O1.00000    1  36.9655 0.02705225 1.454303 0.1 0.9 0.8
3 C1.52618H2.61516O1.00000    1  36.9655 0.02705225 1.454303 0.1 0.9 0.8
  conc.sub temp  pH      hydro      fCH4      xCH4     vCH4      vCO2      vBg
1       50   35 6.5 0.09279292 0.5566161 0.5689900 365.8395 275.91411 641.7536
2       50   35 7.0 0.09279292 0.5566161 0.5864017 365.8395 256.90636 622.7459
3       50   35 8.5 0.09279292 0.5566161 0.8921576 365.8395  44.02904 409.8686
       mCH4      mCO2     mCO2Bg   mCO2.sol       cTIC      m.bio      N.req
1 0.2624617 0.5735654 0.54543300 0.02813242 0.03196140 0.08225028 0.01018521
2 0.2624617 0.5735654 0.50785807 0.06570735 0.07465048 0.08225028 0.01018521
3 0.2624617 0.5735654 0.08703757 0.48652785 0.55274693 0.08225028 0.01018521

See the vignettes and help files for more details.

Getting started

The biogas package is available from CRAN, and so can be installed directly in R with:

install.packages("biogas")

To see available vignettes, use

vignette(package = 'biogas')

and then, e.g.,

vignette('calcBgVol_function')

or

vignette('predBg_function')

Alternatively, download the vignettes from the CRAN page.

More information

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Last synced: 6 days ago

Total Commits: 347
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Avg Commits per committer: 115.667
Development Distribution Score (DDS): 0.455

Commits in past year: 39
Committers in past year: 1
Avg Commits per committer in past year: 39.0
Development Distribution Score (DDS) in past year: 0.0

Name Email Commits
Sasha D. Hafner s****r@g****m 189
Nanna Løjborg n****g@h****m 157
Jonas Ohlsson j****s@v****e 1

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Last synced: 2 days ago

Total issues: 70
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Merged pull request: 1
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Past year issues: 18
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Package metadata

cran.r-project.org: biogas

Process Biogas Data and Predict Biogas Production

  • Homepage: https://github.com/sashahafner/biogas/
  • Documentation: http://cran.r-project.org/web/packages/biogas/biogas.pdf
  • Licenses: GPL-2
  • Latest release: 1.64.0 (published 23 days ago)
  • Last Synced: 2025-04-26T12:32:34.053Z (2 days ago)
  • Versions: 19
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 519 Last month
  • Rankings:
    • Dependent repos count: 23.981%
    • Average: 28.527%
    • Dependent packages count: 28.751%
    • Downloads: 32.85%
  • Maintainers (1)

Dependencies

DESCRIPTION cran
  • ggplot2 * suggests
  • knitr * suggests
  • testthat * suggests

Score: 11.3246542439736