Modeling with the Anaerobic Digestion Model No. 1 for Enhanced Understanding and Application of Anaerobic Treatment Processes
Abstract
Mathematical model is a valuable tool for prediction and recovery of resources and energy through anaerobic digestion of organic wastes. The International Water Association (IWA) Anaerobic Digestion Model No. 1 (ADM1) is the most commonly used structured anaerobic digestion model. However, as substrates become more complex and our deeper understanding of the anaerobic digestion mechanism, both systematic and specific modifications have been applied to ADM1. The modified models have provided a diverse range of applications besides anaerobic digestion processes, such as fermentation and biogas upgrading processes. A brief introduction to the original structure of ADM1 was presented, followed by extensions to extracellular and intracellular biochemical processes as well as physicochemical processes of the model. Then the introduction and modifications to kinetics (including inhibition functions) and stoichiometry are proposed. Furthermore, the applications of the model to a variety of anaerobic digestion scenarios are presented. Finally, the need for improvements in simulating anaerobic digestion and biogas upgrading processes, as well as the lack of full-scale application to other substrates besides sludge are highlighted. Future research perspectives are provided for the model development based on the in-depth understanding of the anaerobic treatment processes of different organic wastes and the recovery of valuable resources.
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Details
- Category:
- Monographic publication
- Type:
- rozdział, artykuł w książce - dziele zbiorowym /podręczniku w języku o zasięgu międzynarodowym
- Language:
- English
- Publication year:
- 2024
- Bibliographic description:
- Mo R., Guo W., Batstone D., Mąkinia J., Li Y.: Modeling with the Anaerobic Digestion Model No. 1 for Enhanced Understanding and Application of Anaerobic Treatment Processes// Anaerobic Digestion Fundamentals, Modelling, and Applications/ : , 2024, s.225-259
- DOI:
- Digital Object Identifier (open in new tab) 10.1007/978-3-031-69378-6_12
- Sources of funding:
-
- Free publication
- Verified by:
- Gdańsk University of Technology
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