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Comprehensive determination of input state variables dataset required for anaerobic digestion modelling (ADM1) based on characterisation of organic substrates

Authors
  • Fisgativa, Henry1
  • Zennaro, Bastien2
  • Charnier, Cyrille3
  • Richard, Charlotte4
  • Accarion, Guillaume5
  • Béline, Fabrice1
  • 1 IRSTEA, Rennes, France
  • 2 INRA-LBE, Narbonne, France
  • 3 BioEnTech, Lyon, France
  • 4 ENGIE, Saint-Denis, France
  • 5 Akajoule, Saint-Nazaire, France
Type
Published Article
Journal
Data in Brief
Publisher
Elsevier
Publication Date
Jan 31, 2020
Volume
29
Identifiers
DOI: 10.1016/j.dib.2020.105212
PMID: 32071987
PMCID: PMC7013330
Source
PubMed Central
Keywords
License
Unknown

Abstract

This article contains the data of 11 organic substrates including physicochemical, biochemical and nutritional characterisations. Additionally, it includes for all substrates the data of organic matter fractionation into easily biodegradable, slowly biodegradable and inert fractions performed with anaerobic respirometry method. Finally, based on physicochemical characterisations and organic matter fractionation, a detailed methodology for the determination of input state variables required for the anaerobic digestion model N°1 (ADM1) was presented and the dataset for all substrates is provided. An example of calculation for one substrate illustrates the methodology for the determination of these variables. Data provided in this article could be useful to any person interested in modelling anaerobic digestion and particularly co-digestion. Data could be also used for implementation of a database for anaerobic digestion modelling.

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