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

Henry Fisgativa; Bastien Zennaro; Cyrille Charnier; Charlotte Richard; Guillaume Accarion; Fabrice Béline

doi:10.1016/j.dib.2020.105212

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

Data Brief. 2020 Jan 31:29:105212. doi: 10.1016/j.dib.2020.105212. eCollection 2020 Apr.

Authors

Henry Fisgativa¹, Bastien Zennaro², Cyrille Charnier³, Charlotte Richard⁴, Guillaume Accarion⁵, Fabrice Béline¹

Affiliations

¹ IRSTEA, Rennes, France.
² INRA-LBE, Narbonne, France.
³ BioEnTech, Lyon, France.
⁴ ENGIE, Saint-Denis, France.
⁵ Akajoule, Saint-Nazaire, France.

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.

Keywords: ADM1 model; Fractionation; Nitrogen content; Organic substrates.