Please use this identifier to cite or link to this item: https://doi.org/10.15480/882.3241
Publisher DOI: 10.3390/pr9010085
Title: Integration of artificial intelligence into biogas plant operation
Language: English
Authors: Cinar, Samet 
Önen, Senem 
Wieczorek, Nils 
Ihsanullah, Sohoo 
Kuchta, Kerstin 
Issue Date: 2-Jan-2021
Publisher: Multidisciplinary Digital Publishing Institute
Source: Processes 9 (1): 85 (2021)
Journal: Processes 
Abstract (english): 
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.
URI: http://hdl.handle.net/11420/8420
DOI: 10.15480/882.3241
ISSN: 2227-9717
Other Identifiers: doi: 10.3390/pr9010085
Institute: Umwelttechnik und Energiewirtschaft V-9 
Document Type: Article
Project: Publikationsfonds 2020 
License: CC BY 4.0 (Attribution) CC BY 4.0 (Attribution)
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