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biogas

Tools for biogas research in R: process biogas data and predict biogas production

https://github.com/sashahafner/biogas

Science Score: 39.0%

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    CITATION.cff file
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    Found 2 DOI reference(s) in README
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    Scientific vocabulary similarity
    Low similarity (9.6%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

Tools for biogas research in R: process biogas data and predict biogas production

Basic Info
  • Host: GitHub
  • Owner: sashahafner
  • Language: R
  • Default Branch: master
  • Size: 1.24 MB
Statistics
  • Stars: 14
  • Watchers: 1
  • Forks: 4
  • Open Issues: 39
  • Releases: 3
Created about 8 years ago · Last pushed over 1 year ago
Metadata Files
Readme Changelog

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

Owner

  • Name: Sasha Hafner
  • Login: sashahafner
  • Kind: user
  • Company: @AU-BCE-EE

GitHub Events

Total
  • Create event: 2
  • Release event: 2
  • Issues event: 18
  • Issue comment event: 19
  • Push event: 29
Last Year
  • Create event: 2
  • Release event: 2
  • Issues event: 18
  • Issue comment event: 19
  • Push event: 29

Committers

Last synced: 11 months ago

All Time
  • Total Commits: 347
  • Total Committers: 3
  • Avg Commits per committer: 115.667
  • Development Distribution Score (DDS): 0.455
Past Year
  • Commits: 39
  • Committers: 1
  • Avg Commits per committer: 39.0
  • Development Distribution Score (DDS): 0.0
Top Committers
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
Committer Domains (Top 20 + Academic)
vansinne.se: 1

Issues and Pull Requests

Last synced: 10 months ago

All Time
  • Total issues: 66
  • Total pull requests: 1
  • Average time to close issues: 7 months
  • Average time to close pull requests: about 6 hours
  • Total issue authors: 4
  • Total pull request authors: 1
  • Average comments per issue: 0.89
  • Average comments per pull request: 0.0
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 11
  • Pull requests: 0
  • Average time to close issues: about 2 months
  • Average time to close pull requests: N/A
  • Issue authors: 1
  • Pull request authors: 0
  • Average comments per issue: 0.45
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • sashahafner (64)
  • NannaLojborg (2)
  • jonasoh (1)
  • alex-bagnoud (1)
Pull Request Authors
  • jonasoh (1)
Top Labels
Issue Labels
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • cran 233 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 1
  • Total versions: 19
  • Total maintainers: 1
cran.r-project.org: biogas

Process Biogas Data and Predict Biogas Production

  • Versions: 19
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 233 Last month
Rankings
Dependent repos count: 24.0%
Average: 28.5%
Dependent packages count: 28.8%
Downloads: 32.8%
Maintainers (1)
sasha.hafner@bce.au.dk
Last synced: 10 months ago

Dependencies

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