LAPSE:2021.0778
Published Article
LAPSE:2021.0778
Integration of Artificial Intelligence into Biogas Plant Operation
Samet Cinar, Senem Onen Cinar, Nils Wieczorek, Ihsanullah Sohoo, Kerstin Kuchta
October 14, 2021
In the biogas plants, organic material is converted to biogas under anaerobic conditions through physical and biochemical processes. From supply of the raw material to the arrival of the products to customers, there are serial processes which should be sufficiently monitored for optimizing the efficiency of the whole process. In particular, the anaerobic digestion process, which consists of sequential complex biological reactions, requires improved monitoring to prevent inhibition. Conventional implemented methods at the biogas plants are not adequate for monitoring the operational parameters and finding the correlation between them. As Artificial Intelligence has been integrated in different areas of life, the integration of it into the biogas production process will be inevitable for the future of the biogas plant operation. This review paper first examines the need for monitoring at the biogas plants with giving details about the process and process monitoring as well. In the following sections, the current situation of implementations of Artificial Intelligence in the biogas plant operation and in the similar industries will be represented. Moreover, considering that all the information gathered from literature and operational needs, an implementation model will be presented.
Keywords
anaerobic digestion, Artificial Intelligence, automation, biogas plant, predictive monitoring, process monitoring, process optimization
Suggested Citation
Cinar S, Cinar SO, Wieczorek N, Sohoo I, Kuchta K. Integration of Artificial Intelligence into Biogas Plant Operation. (2021). LAPSE:2021.0778
Author Affiliations
Cinar S: Sustainable Resource and Waste Management, Hamburg University of Technology, Blohmstr. 15, 21079 Hamburg, Germany
Cinar SO: Sustainable Resource and Waste Management, Hamburg University of Technology, Blohmstr. 15, 21079 Hamburg, Germany [ORCID]
Wieczorek N: Sustainable Resource and Waste Management, Hamburg University of Technology, Blohmstr. 15, 21079 Hamburg, Germany
Sohoo I: Sustainable Resource and Waste Management, Hamburg University of Technology, Blohmstr. 15, 21079 Hamburg, Germany [ORCID]
Kuchta K: Sustainable Resource and Waste Management, Hamburg University of Technology, Blohmstr. 15, 21079 Hamburg, Germany
Journal Name
Processes
Volume
9
Issue
1
First Page
pr9010085
Year
2021
Publication Date
2021-01-02
Published Version
ISSN
2227-9717
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Original Submission
Other Meta
PII: pr9010085, Publication Type: Review
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LAPSE:2021.0778
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doi:10.3390/pr9010085
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Oct 14, 2021
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CC BY 4.0
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[v1] (Original Submission)
Oct 14, 2021
 
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Oct 14, 2021
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Original Submitter
Calvin Tsay
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