Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-11919
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Main Title: Biogas Plants in Renewable Energy Systems—A Systematic Review of Modeling Approaches of Biogas Production
Author(s): Heiker, Mathias
Kraume, Matthias
Mertins, Anica
Wawer, Tim
Rosenberger, Sandra
Type: Article
URI: https://depositonce.tu-berlin.de/handle/11303/13125
http://dx.doi.org/10.14279/depositonce-11919
License: https://creativecommons.org/licenses/by/4.0/
Abstract: Biogas production is a relevant component in renewable energy systems. The paper addresses modeling approaches from an energy system, as well as from a process optimization, point of view. Model approaches of biogas production show different levels of detail. They can be classified as white, gray, and black box, or bottom-up and top-down approaches. On the one hand, biogas modeling can supply dynamic information on the anaerobic digestion process, e.g., to predict biogas yields or to optimize the anaerobic digestion process. These models are characterized by a bottom-up approach with different levels of detail: the comprehensive ADM1 (white box), simplifications and abstractions of AD models (gray box), or highly simplified process descriptions (black box). On the other hand, biogas production is included in energy system models. These models usually supply aggregated information on regional biogas potentials and greenhouse gas emissions. They are characterized by a top-down approach with a low level of detail. Most energy system models reported in literature are based on black box approaches. Considering the strengths and weaknesses of the integration of detailed and deeply investigated process models in energy system models reveals the opportunity to develop dynamic and fluctuating business models of biogas usage.
Subject(s): biogas
modeling
anaerobic digestion
energy system
geoinformation system
GIS
life cycle assessment
LCA
greenhouse gas emissions
Issue Date: 8-Apr-2021
Date Available: 19-May-2021
Language Code: en
DDC Class: 600 Technik, Technologie
Journal Title: Applied Sciences
Publisher: MDPI
Volume: 11
Issue: 8
Article Number: 3361
Publisher DOI: 10.3390/app11083361
EISSN: 2076-3417
TU Affiliation(s): Fak. 3 Prozesswissenschaften » Inst. Prozess- und Verfahrenstechnik » FG Verfahrenstechnik
Appears in Collections:Technische Universität Berlin » Publications

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