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• W4292503767 abstract "Advances in modelling the anaerobic digestion process have helped optimize the complex interplay of biotic and abiotic factors of this multifaceted process. This chapter discusses the ADM1 model and its modifications for effective AD process operations. The biochemical and physicochemical components are explained with reference to the unique microbial community of the multistep AD process. Mathematical models that have led to improved characterization of growth kinetics of anaerobic microbes and their role in the metabolic reactions of the AD process biochemistry are discussed. Advances in instrumentation and computational capacities since the development of the ADM1 model have helped process prediction and identification of the microbial dynamics of AD. The large availability of data has supported scale-up, because of which data-driven models and process digitization make ADs more attractive for energy generation and waste management in recent times. Before entering the era of augmentation of existing AD methods and models, it is critical to understand the basis of process operations, distinct models used and lessons learned which can be incorporated in the face of newer emerging challenges in the future." @default.
• W4292503767 created "2022-08-21" @default.
• W4292503767 creator A5019231443 @default.
• W4292503767 creator A5035499347 @default.
• W4292503767 date "2022-01-01" @default.
• W4292503767 modified "2023-09-27" @default.
• W4292503767 title "Mathematical Modelling for Understanding and Improving the Anaerobic Digestion Process Efficiency" @default.
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• W4292503767 doi "https://doi.org/10.1007/978-981-19-4921-0_3" @default.
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