Modeling and parameter estimation of a biogas plant using maize silage in a two step model

Arzate, Juan Antonio; Bournazou, M; Kirstein, Max; Neubauer, Peter; Junne, Stefan; Habermann, B

doi:10.1201/b17488-73

Cited by 2 publications

(1 citation statement)

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“…A simulated data set was used to describe acidification with the AM2 model for the purpose of parameter identification. So far, the simulation of data of a lab‐scale biogas process pulse‐wise fed with maize silage was performed . In case anaerobic digestion is split in several process stages, the evolvement of these in the separate biotechnological conversions has to be controlled as well.…”

Section: Next Generation Technologiesmentioning

confidence: 99%

Fueling the future with biomass: Processes and pathways for a sustainable supply of hydrocarbon fuels and biogas

Junne

Kabisch

2016

Engineering in Life Sciences

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Global economic growth, wealth and security rely upon the availability of cheap, mostly fossil‐derived energy and chemical compounds. The replacement by sustainable resources is widely discussed. However, the current state of biotechnological processes usually restricts them to be used as a true alternative in terms of economic feasibility and even sustainability. Among the rare examples of bioprocesses applied for the energetic use of biomass are biogas and bioethanol production. Usually, these processes lack in efficiency and they cannot be operated without the support of legislation. Although they represent a first step towards a greater share of bio‐based processes for energy provision, there is no doubt that tremendous improvements in strain and process development, feedstock and process flexibility as well as in the integration of these processes into broader supply and production networks, in this review called smart bioproduction grids, are required to make them economically attractive, robust enough, and wider acceptance by society. All this requires an interdisciplinary approach, which includes the use of residues in closed carbon cycles and issues concerning the process safety. This short review aims to depict some of the promising strategies to achieve an improved process performance as a basis for future application.

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Section: Next Generation Technologiesmentioning

confidence: 99%

Fueling the future with biomass: Processes and pathways for a sustainable supply of hydrocarbon fuels and biogas

Junne

Kabisch

2016

Engineering in Life Sciences

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Anaerobic Digestion Model (AM2) for the Description of Biogas Processes at Dynamic Feedstock Loading Rates

Arzate

Kirstein

Ertem

et al. 2017

Chemie Ingenieur Technik

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The anaerobic digestion of biomass is a complex, dynamic, and highly nonlinear process. Hence, a mathematical model that is capable of describing the complete operability region with sufficient accuracy cannot be identifiable even with the most advanced process monitoring technology. The complexity of the anaerobic digestion model no. 1 (ADM1) leads to the application of either parameter‐reduced versions of the ADM1 or simpler models as, e.g., the anaerobic digestion model AM2. A comparative study for the simulation of biogas formation at dynamic feedstock loading using maize silage was performed with both models.

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Modeling and parameter estimation of a biogas plant using maize silage in a two step model

Cited by 2 publications

References 1 publication

Fueling the future with biomass: Processes and pathways for a sustainable supply of hydrocarbon fuels and biogas

Fueling the future with biomass: Processes and pathways for a sustainable supply of hydrocarbon fuels and biogas

Anaerobic Digestion Model (AM2) for the Description of Biogas Processes at Dynamic Feedstock Loading Rates

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