Power density analysis and multi-objective optimization for a modified endoreversible simple closed Brayton cycle with one isothermal heating process
By using finite time thermodynamics, a modified endoreversible simple closed Brayton cycle with one isothermal heating process and variable isothermal pressure drop ratio is established in this paper. The cycle is composed of a compressor, a regular combustion chamber, a converging combustion chambe...
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doaj-5eb22be7c990422c8b0d11109472e7962020-12-23T05:01:16ZengElsevierEnergy Reports2352-48472020-11-01616481657Power density analysis and multi-objective optimization for a modified endoreversible simple closed Brayton cycle with one isothermal heating processChenqi Tang0Huijun Feng1Lingen Chen2Wenhua Wang3College of Power Engineering, Naval University of Engineering, Wuhan 430033, PR ChinaInstitute of Thermal Science and Power Engineering, Wuhan Institute of Technology, Wuhan, 430205, PR China; School of Mechanical & Electrical Engineering, Wuhan Institute of Technology, Wuhan, 430205, PR ChinaInstitute of Thermal Science and Power Engineering, Wuhan Institute of Technology, Wuhan, 430205, PR China; School of Mechanical & Electrical Engineering, Wuhan Institute of Technology, Wuhan, 430205, PR China; Corresponding author at: Institute of Thermal Science and Power Engineering, Wuhan Institute of Technology, Wuhan, 430205, PR China.College of Power Engineering, Naval University of Engineering, Wuhan 430033, PR ChinaBy using finite time thermodynamics, a modified endoreversible simple closed Brayton cycle with one isothermal heating process and variable isothermal pressure drop ratio is established in this paper. The cycle is composed of a compressor, a regular combustion chamber, a converging combustion chamber, a turbine and a precooler. Three variable temperature heat reservoirs are considered. The dimensionless power density is selected as the optimization objective, and the effects of inlet temperature ratios of combustion chambers on the optimal performances are studied. The results show that adding a convergent combustion chamber to the cycle can increase the dimensionless power density by 18.57%. There exit the optimal heat conductance distributions among three heat exchangers and the optimal pressure ratio leading to maximum dimensionless power density. The Pareto front based on dimensionless power output, thermal efficiency and dimensionless power density is further obtained by applying NSGA-II algorithm, and three decision methods are employed to choose the appropriate schemes from Pareto front. The different optimization schemes gained in this paper can satisfy different design demands for practical Brayton cycle power plants.http://www.sciencedirect.com/science/article/pii/S2352484720303851Finite time thermodynamicsModified endoreversible closed Brayton cyclePower densityPower outputThermal efficiencyMulti-objective optimization |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Chenqi Tang Huijun Feng Lingen Chen Wenhua Wang |
spellingShingle |
Chenqi Tang Huijun Feng Lingen Chen Wenhua Wang Power density analysis and multi-objective optimization for a modified endoreversible simple closed Brayton cycle with one isothermal heating process Energy Reports Finite time thermodynamics Modified endoreversible closed Brayton cycle Power density Power output Thermal efficiency Multi-objective optimization |
author_facet |
Chenqi Tang Huijun Feng Lingen Chen Wenhua Wang |
author_sort |
Chenqi Tang |
title |
Power density analysis and multi-objective optimization for a modified endoreversible simple closed Brayton cycle with one isothermal heating process |
title_short |
Power density analysis and multi-objective optimization for a modified endoreversible simple closed Brayton cycle with one isothermal heating process |
title_full |
Power density analysis and multi-objective optimization for a modified endoreversible simple closed Brayton cycle with one isothermal heating process |
title_fullStr |
Power density analysis and multi-objective optimization for a modified endoreversible simple closed Brayton cycle with one isothermal heating process |
title_full_unstemmed |
Power density analysis and multi-objective optimization for a modified endoreversible simple closed Brayton cycle with one isothermal heating process |
title_sort |
power density analysis and multi-objective optimization for a modified endoreversible simple closed brayton cycle with one isothermal heating process |
publisher |
Elsevier |
series |
Energy Reports |
issn |
2352-4847 |
publishDate |
2020-11-01 |
description |
By using finite time thermodynamics, a modified endoreversible simple closed Brayton cycle with one isothermal heating process and variable isothermal pressure drop ratio is established in this paper. The cycle is composed of a compressor, a regular combustion chamber, a converging combustion chamber, a turbine and a precooler. Three variable temperature heat reservoirs are considered. The dimensionless power density is selected as the optimization objective, and the effects of inlet temperature ratios of combustion chambers on the optimal performances are studied. The results show that adding a convergent combustion chamber to the cycle can increase the dimensionless power density by 18.57%. There exit the optimal heat conductance distributions among three heat exchangers and the optimal pressure ratio leading to maximum dimensionless power density. The Pareto front based on dimensionless power output, thermal efficiency and dimensionless power density is further obtained by applying NSGA-II algorithm, and three decision methods are employed to choose the appropriate schemes from Pareto front. The different optimization schemes gained in this paper can satisfy different design demands for practical Brayton cycle power plants. |
topic |
Finite time thermodynamics Modified endoreversible closed Brayton cycle Power density Power output Thermal efficiency Multi-objective optimization |
url |
http://www.sciencedirect.com/science/article/pii/S2352484720303851 |
work_keys_str_mv |
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