Energy, exergy, exergoeconomic, and environmental analyses and multi-objective optimization of a biomass-to-energy integrated thermal power plant

A novel biomass-driven heat and power cogeneration system comprising biomass gasification, a gas turbine, a Stirling engine, and a supercritical carbon dioxide cycle integrated with a domestic water heater was proposed in this work. Different biomass feedstocks (paper, wood, paddy husk, and municipa...

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Main Authors: Fan He, Xiaoyu Liu, Meitao Wang, Shuang Zhou, Dariush Heydarian
Format: Article
Language:English
Published: Elsevier 2022-07-01
Series:Alexandria Engineering Journal
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1110016821007493
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author Fan He
Xiaoyu Liu
Meitao Wang
Shuang Zhou
Dariush Heydarian
author_facet Fan He
Xiaoyu Liu
Meitao Wang
Shuang Zhou
Dariush Heydarian
author_sort Fan He
collection DOAJ
description A novel biomass-driven heat and power cogeneration system comprising biomass gasification, a gas turbine, a Stirling engine, and a supercritical carbon dioxide cycle integrated with a domestic water heater was proposed in this work. Different biomass feedstocks (paper, wood, paddy husk, and municipal solid waste) were used in the gasifier as the input fuel. The devised system was analyzed from energy, exergy, exergoeconomic, and environmental viewpoints. Moreover, the effect of integrating the Stirling engine with the stand-alone CHP system is studied. Moreover, a detailed parametric analysis was performed to assess the effect of varying operating parameters on system efficiency. Finally, multi-objective optimization using genetic algorithm in MATLAB software was performed to obtain the optimum operating points. According to the results, using municipal solid waste as the input biomass resulted in the highest exergy efficiency by 41.36% and the lowest CO2 emission by 0.9021t/MWh. Also, the system with the Stirling engine had a higher exergy efficiency and lower CO2 emission than the system without the Stirling engine. According to the optimization results, the maximum obtainable exergy efficiency was 42.03%, which was related to MSW. Also, the minimum achievable cp,tot was 10.94$/GJ, attributable to the respective paddy husk.
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spelling doaj.art-6908d7c40a2c401e9e208944c8d6b9202022-12-22T03:33:47ZengElsevierAlexandria Engineering Journal1110-01682022-07-0161756295648Energy, exergy, exergoeconomic, and environmental analyses and multi-objective optimization of a biomass-to-energy integrated thermal power plantFan He0Xiaoyu Liu1Meitao Wang2Shuang Zhou3Dariush Heydarian4Institute of Accounting, Chongqing Technology and Business University, Chongqing 400067, China; Corresponding author.Institute of International Business, University of International Business and Economics, Beijing 100029, ChinaBudgetary Appraisal Center, Ministry of Finance of the People’s Republic of China, Beijing 100045, ChinaTeaching and Research Department of Social and Ecological Civilization, Chinese National Academy of Governance, Beijing 100089, ChinaFaculty of Mechanical Engineering, University of Tabriz, Tabriz, IranA novel biomass-driven heat and power cogeneration system comprising biomass gasification, a gas turbine, a Stirling engine, and a supercritical carbon dioxide cycle integrated with a domestic water heater was proposed in this work. Different biomass feedstocks (paper, wood, paddy husk, and municipal solid waste) were used in the gasifier as the input fuel. The devised system was analyzed from energy, exergy, exergoeconomic, and environmental viewpoints. Moreover, the effect of integrating the Stirling engine with the stand-alone CHP system is studied. Moreover, a detailed parametric analysis was performed to assess the effect of varying operating parameters on system efficiency. Finally, multi-objective optimization using genetic algorithm in MATLAB software was performed to obtain the optimum operating points. According to the results, using municipal solid waste as the input biomass resulted in the highest exergy efficiency by 41.36% and the lowest CO2 emission by 0.9021t/MWh. Also, the system with the Stirling engine had a higher exergy efficiency and lower CO2 emission than the system without the Stirling engine. According to the optimization results, the maximum obtainable exergy efficiency was 42.03%, which was related to MSW. Also, the minimum achievable cp,tot was 10.94$/GJ, attributable to the respective paddy husk.http://www.sciencedirect.com/science/article/pii/S1110016821007493Biomass-driven cogenerationExergoeconomic analysisMulti-objective optimizationStirling engineSupercritical carbon dioxide cycle
spellingShingle Fan He
Xiaoyu Liu
Meitao Wang
Shuang Zhou
Dariush Heydarian
Energy, exergy, exergoeconomic, and environmental analyses and multi-objective optimization of a biomass-to-energy integrated thermal power plant
Alexandria Engineering Journal
Biomass-driven cogeneration
Exergoeconomic analysis
Multi-objective optimization
Stirling engine
Supercritical carbon dioxide cycle
title Energy, exergy, exergoeconomic, and environmental analyses and multi-objective optimization of a biomass-to-energy integrated thermal power plant
title_full Energy, exergy, exergoeconomic, and environmental analyses and multi-objective optimization of a biomass-to-energy integrated thermal power plant
title_fullStr Energy, exergy, exergoeconomic, and environmental analyses and multi-objective optimization of a biomass-to-energy integrated thermal power plant
title_full_unstemmed Energy, exergy, exergoeconomic, and environmental analyses and multi-objective optimization of a biomass-to-energy integrated thermal power plant
title_short Energy, exergy, exergoeconomic, and environmental analyses and multi-objective optimization of a biomass-to-energy integrated thermal power plant
title_sort energy exergy exergoeconomic and environmental analyses and multi objective optimization of a biomass to energy integrated thermal power plant
topic Biomass-driven cogeneration
Exergoeconomic analysis
Multi-objective optimization
Stirling engine
Supercritical carbon dioxide cycle
url http://www.sciencedirect.com/science/article/pii/S1110016821007493
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AT meitaowang energyexergyexergoeconomicandenvironmentalanalysesandmultiobjectiveoptimizationofabiomasstoenergyintegratedthermalpowerplant
AT shuangzhou energyexergyexergoeconomicandenvironmentalanalysesandmultiobjectiveoptimizationofabiomasstoenergyintegratedthermalpowerplant
AT dariushheydarian energyexergyexergoeconomicandenvironmentalanalysesandmultiobjectiveoptimizationofabiomasstoenergyintegratedthermalpowerplant