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Title:Improvement of biogas production utilizing a complex anaerobic digestion model and gradient-based optimization
Authors:ID Kegl, Tina (Author)
ID Kegl, Breda (Author)
ID Kegl, Marko (Author)
Files:.pdf energies-17-01279.pdf (7,33 MB)
MD5: 12ED83590BFAD68B246653C8F609FFF7
 
URL https://www.mdpi.com/1996-1073/17/6/1279
 
Language:English
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:FS - Faculty of Mechanical Engineering
Abstract:Anaerobic digestion (AD) is a promising technology for renewable energy production from organic waste. In order to maximize the produced biogas quantity and quality, this paper deals with the optimization of the AD process in a CSTR bioreactor of a full-scale biogas plant. For this purpose, a novel approach was adopted coupling, a highly complex BioModel for AD simulation, and a gradient-based optimization method. In order to improve AD performance, the dosages of various types of biological additives, the dosages of inorganic additives, and the temperature in the bioreactor were optimized in three different scenarios. The best biogas quality was obtained using multi-objective optimization, where the objective function involves the following two conflicting objectives: the maximization of biogas production and minimization of the needed heating energy. The obtained results show that, potentially, the content of CH4 can be increased by 11%, while the contents of H2, H2S, and NH3 can be reduced by 30%, 20%, and 81% when comparing the simulation results with the experimental data. The obtained results confirm the usefulness of the proposed approach, which can easily be adapted or upgraded for other bioreactor types.
Keywords:additives, anaerobic digestion, approximation method, BioModel, complex substrate, gradient-based optimization, process conditions
Publication status:Published
Publication version:Version of Record
Submitted for review:14.02.2024
Article acceptance date:05.03.2024
Publication date:07.03.2024
Publisher:MDPI
Year of publishing:2024
Number of pages:17 str.
Numbering:let. 17, št. 6, št. članka 1279
Source:https://www.mdpi.com/journal/energies
PID:20.500.12556/DKUM-87354-68d4b461-c684-85ab-4176-8e6847bbd065 New window
UDC:620.92/.98:66.02
ISSN on article:1996-1073
COBISS.SI-ID:188083715 New window
DOI:10.3390/en17061279 New window
Copyright:© 2024 by the authors
Publication date in DKUM:12.03.2024
Views:488
Downloads:48
Metadata:XML DC-XML DC-RDF
Categories:Misc.
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Record is a part of a journal

Title:Energies
Shortened title:Energies
Publisher:Molecular Diversity Preservation International
ISSN:1996-1073
COBISS.SI-ID:518046745 New window

Document is financed by a project

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P2-0414
Name:Procesna sistemska tehnika in trajnostni razvoj

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P2-0032
Name:Procesna sistemska tehnika in trajnostni razvoj

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P2-0196
Name:Raziskave v energetskem, procesnem in okoljskem inženirstvu

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P2-0137
Name:Numerična in eksperimentalna analiza nelinearnih mehanskih sistemov

Funder:the World Federation of Scientists
Project number:grant number SZF-T.Kegl-01/2023

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Secondary language

Language:Slovenian
Keywords:dodatki, anaerobna razgradnja, metoda približevanja, kompleksen substrat, optimizacija na podlagi gradienta, procesni pogoji


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