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Biogas production management systems with model predictive control of anaerobic digestion processes

We developed a biogas production management system to control biogas production by determining the feedstock inputs to the anaerobic digestion process according to fluctuations of the renewable energy supply. The developed system consists of three functions: a prediction model for the anaerobic dige...

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Autores principales: Yoshida, Kazuto, Shimizu, Naoto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7581619/
https://www.ncbi.nlm.nih.gov/pubmed/32683505
http://dx.doi.org/10.1007/s00449-020-02404-7
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author Yoshida, Kazuto
Shimizu, Naoto
author_facet Yoshida, Kazuto
Shimizu, Naoto
author_sort Yoshida, Kazuto
collection PubMed
description We developed a biogas production management system to control biogas production by determining the feedstock inputs to the anaerobic digestion process according to fluctuations of the renewable energy supply. The developed system consists of three functions: a prediction model for the anaerobic digestion processes, a parameter-estimation system, and a feedstock-determination controller. A prediction model for the anaerobic digestion processes in a state-space representation was constructed for the input–output relationship of biogas generation from organic compounds and the state of methane fermentation. A parameter-estimation system that estimated the parameters included in the prediction model from actual operating process data was built based on adaptive identification theory. The feedstock-determination controller was established based on model predictive control as a method to control biogas production. From the results of the identification experiment, the least square estimator of the parameters converged as the training data increased, and a reliable parameter was given in 1 week. From the results of the numerical simulation and the control experiment, it was confirmed that the biogas production management system developed in this study had a high prediction accuracy and control performance.
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spelling pubmed-75816192020-10-27 Biogas production management systems with model predictive control of anaerobic digestion processes Yoshida, Kazuto Shimizu, Naoto Bioprocess Biosyst Eng Research Paper We developed a biogas production management system to control biogas production by determining the feedstock inputs to the anaerobic digestion process according to fluctuations of the renewable energy supply. The developed system consists of three functions: a prediction model for the anaerobic digestion processes, a parameter-estimation system, and a feedstock-determination controller. A prediction model for the anaerobic digestion processes in a state-space representation was constructed for the input–output relationship of biogas generation from organic compounds and the state of methane fermentation. A parameter-estimation system that estimated the parameters included in the prediction model from actual operating process data was built based on adaptive identification theory. The feedstock-determination controller was established based on model predictive control as a method to control biogas production. From the results of the identification experiment, the least square estimator of the parameters converged as the training data increased, and a reliable parameter was given in 1 week. From the results of the numerical simulation and the control experiment, it was confirmed that the biogas production management system developed in this study had a high prediction accuracy and control performance. Springer Berlin Heidelberg 2020-07-18 2020 /pmc/articles/PMC7581619/ /pubmed/32683505 http://dx.doi.org/10.1007/s00449-020-02404-7 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Research Paper
Yoshida, Kazuto
Shimizu, Naoto
Biogas production management systems with model predictive control of anaerobic digestion processes
title Biogas production management systems with model predictive control of anaerobic digestion processes
title_full Biogas production management systems with model predictive control of anaerobic digestion processes
title_fullStr Biogas production management systems with model predictive control of anaerobic digestion processes
title_full_unstemmed Biogas production management systems with model predictive control of anaerobic digestion processes
title_short Biogas production management systems with model predictive control of anaerobic digestion processes
title_sort biogas production management systems with model predictive control of anaerobic digestion processes
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7581619/
https://www.ncbi.nlm.nih.gov/pubmed/32683505
http://dx.doi.org/10.1007/s00449-020-02404-7
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