Modelling of SO2 and NOx Emissions from Coal and Biomass Combustion in Air-Firing, Oxyfuel, iG-CLC, and CLOU Conditions by Fuzzy Logic Approach

Jaroslaw Krzywanski; Tomasz Czakiert; Anna Zylka; Wojciech Nowak; Marcin Sosnowski; Karolina Grabowska; Dorian Skrobek; Karol Sztekler; Anna Kulakowska; Waqar Muhammad Ashraf; Yunfei Gao

doi:10.3390/en15218095

Energies (Oct 2022)

Modelling of SO2 and NOx Emissions from Coal and Biomass Combustion in Air-Firing, Oxyfuel, iG-CLC, and CLOU Conditions by Fuzzy Logic Approach

Jaroslaw Krzywanski,
Tomasz Czakiert,
Anna Zylka,
Wojciech Nowak,
Marcin Sosnowski,
Karolina Grabowska,
Dorian Skrobek,
Karol Sztekler,
Anna Kulakowska,
Waqar Muhammad Ashraf,
Yunfei Gao

Affiliations

Jaroslaw Krzywanski: Faculty of Science and Technology, Jan Dlugosz University in Czestochowa, A. Krajowej 13/15, 42-200 Czestochowa, Poland
Tomasz Czakiert: Department of Advanced Energy Technologies, Faculty of Infrastructure and Environment, Czestochowa University of Technology, Dabrowskiego 73, 42-200 Czestochowa, Poland
Anna Zylka: Faculty of Science and Technology, Jan Dlugosz University in Czestochowa, A. Krajowej 13/15, 42-200 Czestochowa, Poland
Wojciech Nowak: Faculty of Energy and Fuels, AGH University of Science and Technology, Mickiewicza 30, 30-059 Krakow, Poland
Marcin Sosnowski: Faculty of Science and Technology, Jan Dlugosz University in Czestochowa, A. Krajowej 13/15, 42-200 Czestochowa, Poland
Karolina Grabowska: Faculty of Science and Technology, Jan Dlugosz University in Czestochowa, A. Krajowej 13/15, 42-200 Czestochowa, Poland
Dorian Skrobek: Faculty of Science and Technology, Jan Dlugosz University in Czestochowa, A. Krajowej 13/15, 42-200 Czestochowa, Poland
Karol Sztekler: Faculty of Energy and Fuels, AGH University of Science and Technology, Mickiewicza 30, 30-059 Krakow, Poland
Anna Kulakowska: Faculty of Science and Technology, Jan Dlugosz University in Czestochowa, A. Krajowej 13/15, 42-200 Czestochowa, Poland
Waqar Muhammad Ashraf: Centre for Process Systems Engineering, Department of Chemical Engineering, University College London, Gower Street, London WC1E 6BT, UK
Yunfei Gao: Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC 27607, USA

DOI: https://doi.org/10.3390/en15218095
Journal volume & issue: Vol. 15, no. 21
p. 8095

Abstract

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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).

Published in Energies

ISSN: 1996-1073 (Online)
Publisher: MDPI AG
Country of publisher: Switzerland
LCC subjects: Technology
Website: http://www.mdpi.com/journal/energies

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