Modelling of SO<sub>2</sub> and NO<sub>x</sub> Emissions from Coal and Biomass Combustion in Air-Firing, Oxyfuel, iG-CLC, and CLOU Conditions by Fuzzy Logic Approach
Chemical looping combustion (CLC) is one of the most advanced technologies allowing for the reduction in CO<sub>2</sub> emissions during the combustion of solid fuels. The modified method combines chemical looping with oxygen uncoupling (CLOU) and in situ gasification chemical looping co...
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MDPI AG
2022-10-01
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| Online Access: | https://www.mdpi.com/1996-1073/15/21/8095 |
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| author | Jaroslaw Krzywanski Tomasz Czakiert Anna Zylka Wojciech Nowak Marcin Sosnowski Karolina Grabowska Dorian Skrobek Karol Sztekler Anna Kulakowska Waqar Muhammad Ashraf Yunfei Gao |
| author_facet | Jaroslaw Krzywanski Tomasz Czakiert Anna Zylka Wojciech Nowak Marcin Sosnowski Karolina Grabowska Dorian Skrobek Karol Sztekler Anna Kulakowska Waqar Muhammad Ashraf Yunfei Gao |
| author_sort | Jaroslaw Krzywanski |
| collection | DOAJ |
| description | Chemical looping combustion (CLC) is one of the most advanced technologies allowing for the reduction in CO<sub>2</sub> 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 SO<sub>2</sub> and NO<sub>x</sub> (i.e., NO + NO<sub>2</sub>) 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 kW<sub>th</sub> research unit called the dual fluidized bed chemical looping combustion of solid fuels (DFB-CLC-SF). |
| first_indexed | 2024-03-09T19:06:43Z |
| format | Article |
| id | doaj.art-b36afb7df21e47c484a8d87bcafd48b5 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-09T19:06:43Z |
| publishDate | 2022-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-b36afb7df21e47c484a8d87bcafd48b52023-11-24T04:31:43ZengMDPI AGEnergies1996-10732022-10-011521809510.3390/en15218095Modelling of SO<sub>2</sub> and NO<sub>x</sub> Emissions from Coal and Biomass Combustion in Air-Firing, Oxyfuel, iG-CLC, and CLOU Conditions by Fuzzy Logic ApproachJaroslaw Krzywanski0Tomasz Czakiert1Anna Zylka2Wojciech Nowak3Marcin Sosnowski4Karolina Grabowska5Dorian Skrobek6Karol Sztekler7Anna Kulakowska8Waqar Muhammad Ashraf9Yunfei Gao10Faculty of Science and Technology, Jan Dlugosz University in Czestochowa, A. Krajowej 13/15, 42-200 Czestochowa, PolandDepartment of Advanced Energy Technologies, Faculty of Infrastructure and Environment, Czestochowa University of Technology, Dabrowskiego 73, 42-200 Czestochowa, PolandFaculty of Science and Technology, Jan Dlugosz University in Czestochowa, A. Krajowej 13/15, 42-200 Czestochowa, PolandFaculty of Energy and Fuels, AGH University of Science and Technology, Mickiewicza 30, 30-059 Krakow, PolandFaculty of Science and Technology, Jan Dlugosz University in Czestochowa, A. Krajowej 13/15, 42-200 Czestochowa, PolandFaculty of Science and Technology, Jan Dlugosz University in Czestochowa, A. Krajowej 13/15, 42-200 Czestochowa, PolandFaculty of Science and Technology, Jan Dlugosz University in Czestochowa, A. Krajowej 13/15, 42-200 Czestochowa, PolandFaculty of Energy and Fuels, AGH University of Science and Technology, Mickiewicza 30, 30-059 Krakow, PolandFaculty of Science and Technology, Jan Dlugosz University in Czestochowa, A. Krajowej 13/15, 42-200 Czestochowa, PolandCentre for Process Systems Engineering, Department of Chemical Engineering, University College London, Gower Street, London WC1E 6BT, UKDepartment of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC 27607, USAChemical looping combustion (CLC) is one of the most advanced technologies allowing for the reduction in CO<sub>2</sub> 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 SO<sub>2</sub> and NO<sub>x</sub> (i.e., NO + NO<sub>2</sub>) 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 kW<sub>th</sub> research unit called the dual fluidized bed chemical looping combustion of solid fuels (DFB-CLC-SF).https://www.mdpi.com/1996-1073/15/21/8095SO<sub>2</sub>NO<sub>x</sub>oxyfueliG-CLCCLOUartificial intelligence |
| spellingShingle | Jaroslaw Krzywanski Tomasz Czakiert Anna Zylka Wojciech Nowak Marcin Sosnowski Karolina Grabowska Dorian Skrobek Karol Sztekler Anna Kulakowska Waqar Muhammad Ashraf Yunfei Gao Modelling of SO<sub>2</sub> and NO<sub>x</sub> Emissions from Coal and Biomass Combustion in Air-Firing, Oxyfuel, iG-CLC, and CLOU Conditions by Fuzzy Logic Approach Energies SO<sub>2</sub> NO<sub>x</sub> oxyfuel iG-CLC CLOU artificial intelligence |
| title | Modelling of SO<sub>2</sub> and NO<sub>x</sub> Emissions from Coal and Biomass Combustion in Air-Firing, Oxyfuel, iG-CLC, and CLOU Conditions by Fuzzy Logic Approach |
| title_full | Modelling of SO<sub>2</sub> and NO<sub>x</sub> Emissions from Coal and Biomass Combustion in Air-Firing, Oxyfuel, iG-CLC, and CLOU Conditions by Fuzzy Logic Approach |
| title_fullStr | Modelling of SO<sub>2</sub> and NO<sub>x</sub> Emissions from Coal and Biomass Combustion in Air-Firing, Oxyfuel, iG-CLC, and CLOU Conditions by Fuzzy Logic Approach |
| title_full_unstemmed | Modelling of SO<sub>2</sub> and NO<sub>x</sub> Emissions from Coal and Biomass Combustion in Air-Firing, Oxyfuel, iG-CLC, and CLOU Conditions by Fuzzy Logic Approach |
| title_short | Modelling of SO<sub>2</sub> and NO<sub>x</sub> Emissions from Coal and Biomass Combustion in Air-Firing, Oxyfuel, iG-CLC, and CLOU Conditions by Fuzzy Logic Approach |
| title_sort | modelling of so sub 2 sub and no sub x sub emissions from coal and biomass combustion in air firing oxyfuel ig clc and clou conditions by fuzzy logic approach |
| topic | SO<sub>2</sub> NO<sub>x</sub> oxyfuel iG-CLC CLOU artificial intelligence |
| url | https://www.mdpi.com/1996-1073/15/21/8095 |
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