iconicon Uproszczony widok
 

Algorithms for Optimizing Energy Consumption for Fermentation Processes in Biogas Production

cris.lastimport.scopus2024-09-18T01:30:26Z
dc.abstract.enProblems related to reducing energy consumption constitute an important basis for scien tific research worldwide. A proposal to use various renewable energy sources, including creating a biogas plant, is emphasized in the introduction of this article. However, the indicated solutions require continuous monitoring and control to maximise the installations’ effectiveness. The authors took up the challenge of developing a computer solution to reduce the costs of maintaining techno logical process monitoring systems. Concept diagrams of a metrological system using multi-sensor techniques containing humidity, temperature and pressure sensors coupled with Electrical Impedance Tomography (EIT) sensors were presented. This approach allows for effective monitoring of the anaerobic fermentation process. The possibility of reducing the energy consumed during installation operation was proposed, which resulted in the development of algorithms for determining alarm states, which are the basis for controlling the frequency of technological process measurements. Implementing the idea required the preparation of measurement infrastructure and an analytical engine based on AI techniques, including an expert system and developed algorithms. Numerous time-consuming studies and experiments have confirmed reduced energy consumption, which can be successfully used in biogas productio
dc.affiliationAdministracji i Nauk Społecznych
dc.contributor.authorGrzegorz Rybak
dc.contributor.authorEdward Kozłowski
dc.contributor.authorKrzysztof Król
dc.contributor.authorTomasz Rymarczyk
dc.contributor.authorAgnieszka Sulimierska
dc.contributor.authorArtur Dmowski
dc.contributor.authorPiotr Bednarczuk
dc.date.accessioned2024-03-22T11:56:25Z
dc.date.available2024-03-22T11:56:25Z
dc.date.issued2023
dc.description.abstract<jats:p>Problems related to reducing energy consumption constitute an important basis for scientific research worldwide. A proposal to use various renewable energy sources, including creating a biogas plant, is emphasized in the introduction of this article. However, the indicated solutions require continuous monitoring and control to maximise the installations’ effectiveness. The authors took up the challenge of developing a computer solution to reduce the costs of maintaining technological process monitoring systems. Concept diagrams of a metrological system using multi-sensor techniques containing humidity, temperature and pressure sensors coupled with Electrical Impedance Tomography (EIT) sensors were presented. This approach allows for effective monitoring of the anaerobic fermentation process. The possibility of reducing the energy consumed during installation operation was proposed, which resulted in the development of algorithms for determining alarm states, which are the basis for controlling the frequency of technological process measurements. Implementing the idea required the preparation of measurement infrastructure and an analytical engine based on AI techniques, including an expert system and developed algorithms. Numerous time-consuming studies and experiments have confirmed reduced energy consumption, which can be successfully used in biogas production.</jats:p>
dc.identifier.doi10.3390/en16247972
dc.identifier.issn1996-1073
dc.identifier.urihttps://repo.akademiawsei.eu/handle/item/143
dc.languageen
dc.pbn.affiliationeconomics and finance
dc.pbn.affiliationinformation and communication technology
dc.relation.ispartofEnergies
dc.rightsCC-BY
dc.subject.enbiogas
dc.subject.ensensors
dc.subject.enEIT
dc.subject.enenergy consumption optimization
dc.subject.enexpert systems
dc.subject.enAI
dc.titleAlgorithms for Optimizing Energy Consumption for Fermentation Processes in Biogas Production
dc.typeReviewArticle
dspace.entity.typePublication
oaire.citation.issue24
oaire.citation.volume16