LAPSE:2023.8397
Published Article
LAPSE:2023.8397
Modelling of SO2 and NOx Emissions from Coal and Biomass Combustion in Air-Firing, Oxyfuel, iG-CLC, and CLOU Conditions by Fuzzy Logic Approach
February 24, 2023
Abstract
Chemical looping combustion (CLC) is one of the most advanced technologies allowing for the reduction in CO2 emissions during the combustion of solid fuels. The modified method combines chemical looping with oxygen uncoupling (CLOU) and in situ gasification chemical looping combustion (iG-CLC). As a result, an innovative hybrid chemical looping combustion came into existence, making the above two technologies complementary. Since the complexity of the CLC is still not sufficiently recognized, the study of this process is of a practical significance. The paper describes the experiences in the modelling of complex geometry CLC equipment. The experimental facility consists of two reactors: an air reactor and a fuel reactor. The paper introduces the fuzzy logic (FL) method as an artificial intelligence (AI) approach for the prediction of SO2 and NOx (i.e., NO + NO2) emissions from coal and biomass combustion carried out in air-firing; oxyfuel; iG-CLC; and CLOU conditions. The developed model has been successfully validated on a 5 kWth research unit called the dual fluidized bed chemical looping combustion of solid fuels (DFB-CLC-SF).
Chemical looping combustion (CLC) is one of the most advanced technologies allowing for the reduction in CO2 emissions during the combustion of solid fuels. The modified method combines chemical looping with oxygen uncoupling (CLOU) and in situ gasification chemical looping combustion (iG-CLC). As a result, an innovative hybrid chemical looping combustion came into existence, making the above two technologies complementary. Since the complexity of the CLC is still not sufficiently recognized, the study of this process is of a practical significance. The paper describes the experiences in the modelling of complex geometry CLC equipment. The experimental facility consists of two reactors: an air reactor and a fuel reactor. The paper introduces the fuzzy logic (FL) method as an artificial intelligence (AI) approach for the prediction of SO2 and NOx (i.e., NO + NO2) emissions from coal and biomass combustion carried out in air-firing; oxyfuel; iG-CLC; and CLOU conditions. The developed model has been successfully validated on a 5 kWth research unit called the dual fluidized bed chemical looping combustion of solid fuels (DFB-CLC-SF).
Record ID
Keywords
Artificial Intelligence, CLOU, fuzzy logic, iG-CLC, NOx, oxyfuel, SO2
Subject
Suggested Citation
Krzywanski J, Czakiert T, Zylka A, Nowak W, Sosnowski M, Grabowska K, Skrobek D, Sztekler K, Kulakowska A, Ashraf WM, Gao Y. Modelling of SO2 and NOx Emissions from Coal and Biomass Combustion in Air-Firing, Oxyfuel, iG-CLC, and CLOU Conditions by Fuzzy Logic Approach. (2023). LAPSE:2023.8397
Author Affiliations
Krzywanski J: Faculty of Science and Technology, Jan Dlugosz University in Czestochowa, A. Krajowej 13/15, 42-200 Czestochowa, Poland [ORCID]
Czakiert T: Department of Advanced Energy Technologies, Faculty of Infrastructure and Environment, Czestochowa University of Technology, Dabrowskiego 73, 42-200 Czestochowa, Poland [ORCID]
Zylka A: Faculty of Science and Technology, Jan Dlugosz University in Czestochowa, A. Krajowej 13/15, 42-200 Czestochowa, Poland [ORCID]
Nowak W: Faculty of Energy and Fuels, AGH University of Science and Technology, Mickiewicza 30, 30-059 Krakow, Poland [ORCID]
Sosnowski M: Faculty of Science and Technology, Jan Dlugosz University in Czestochowa, A. Krajowej 13/15, 42-200 Czestochowa, Poland [ORCID]
Grabowska K: Faculty of Science and Technology, Jan Dlugosz University in Czestochowa, A. Krajowej 13/15, 42-200 Czestochowa, Poland [ORCID]
Skrobek D: Faculty of Science and Technology, Jan Dlugosz University in Czestochowa, A. Krajowej 13/15, 42-200 Czestochowa, Poland [ORCID]
Sztekler K: Faculty of Energy and Fuels, AGH University of Science and Technology, Mickiewicza 30, 30-059 Krakow, Poland [ORCID]
Kulakowska A: Faculty of Science and Technology, Jan Dlugosz University in Czestochowa, A. Krajowej 13/15, 42-200 Czestochowa, Poland [ORCID]
Ashraf WM: Centre for Process Systems Engineering, Department of Chemical Engineering, University College London, Gower Street, London WC1E 6BT, UK; Department of Mechanical Engineering, University of Engineering and Technology, University of Engineering & Technolog [ORCID]
Gao Y: Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC 27607, USA
Czakiert T: Department of Advanced Energy Technologies, Faculty of Infrastructure and Environment, Czestochowa University of Technology, Dabrowskiego 73, 42-200 Czestochowa, Poland [ORCID]
Zylka A: Faculty of Science and Technology, Jan Dlugosz University in Czestochowa, A. Krajowej 13/15, 42-200 Czestochowa, Poland [ORCID]
Nowak W: Faculty of Energy and Fuels, AGH University of Science and Technology, Mickiewicza 30, 30-059 Krakow, Poland [ORCID]
Sosnowski M: Faculty of Science and Technology, Jan Dlugosz University in Czestochowa, A. Krajowej 13/15, 42-200 Czestochowa, Poland [ORCID]
Grabowska K: Faculty of Science and Technology, Jan Dlugosz University in Czestochowa, A. Krajowej 13/15, 42-200 Czestochowa, Poland [ORCID]
Skrobek D: Faculty of Science and Technology, Jan Dlugosz University in Czestochowa, A. Krajowej 13/15, 42-200 Czestochowa, Poland [ORCID]
Sztekler K: Faculty of Energy and Fuels, AGH University of Science and Technology, Mickiewicza 30, 30-059 Krakow, Poland [ORCID]
Kulakowska A: Faculty of Science and Technology, Jan Dlugosz University in Czestochowa, A. Krajowej 13/15, 42-200 Czestochowa, Poland [ORCID]
Ashraf WM: Centre for Process Systems Engineering, Department of Chemical Engineering, University College London, Gower Street, London WC1E 6BT, UK; Department of Mechanical Engineering, University of Engineering and Technology, University of Engineering & Technolog [ORCID]
Gao Y: Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC 27607, USA
Journal Name
Energies
Volume
15
Issue
21
First Page
8095
Year
2022
Publication Date
2022-10-31
ISSN
1996-1073
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PII: en15218095, Publication Type: Journal Article
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LAPSE:2023.8397
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https://doi.org/10.3390/en15218095
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