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Four-Objective Optimizations for an Improved Irreversible Closed Modified Simple Brayton Cycle
An improved irreversible closed modified simple Brayton cycle model with one isothermal heating process is established in this paper by using finite time thermodynamics. The heat reservoirs are variable-temperature ones. The irreversible losses in the compressor, turbine, and heat exchangers are con...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7996966/ https://www.ncbi.nlm.nih.gov/pubmed/33652671 http://dx.doi.org/10.3390/e23030282 |
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author | Tang, Chenqi Chen, Lingen Feng, Huijun Ge, Yanlin |
author_facet | Tang, Chenqi Chen, Lingen Feng, Huijun Ge, Yanlin |
author_sort | Tang, Chenqi |
collection | PubMed |
description | An improved irreversible closed modified simple Brayton cycle model with one isothermal heating process is established in this paper by using finite time thermodynamics. The heat reservoirs are variable-temperature ones. The irreversible losses in the compressor, turbine, and heat exchangers are considered. Firstly, the cycle performance is optimized by taking four performance indicators, including the dimensionless power output, thermal efficiency, dimensionless power density, and dimensionless ecological function, as the optimization objectives. The impacts of the irreversible losses on the optimization results are analyzed. The results indicate that four objective functions increase as the compressor and turbine efficiencies increase. The influences of the latter efficiency on the cycle performances are more significant than those of the former efficiency. Then, the NSGA-II algorithm is applied for multi-objective optimization, and three different decision methods are used to select the optimal solution from the Pareto frontier. The results show that the dimensionless power density and dimensionless ecological function compromise dimensionless power output and thermal efficiency. The corresponding deviation index of the Shannon Entropy method is equal to the corresponding deviation index of the maximum ecological function. |
format | Online Article Text |
id | pubmed-7996966 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-79969662021-03-27 Four-Objective Optimizations for an Improved Irreversible Closed Modified Simple Brayton Cycle Tang, Chenqi Chen, Lingen Feng, Huijun Ge, Yanlin Entropy (Basel) Article An improved irreversible closed modified simple Brayton cycle model with one isothermal heating process is established in this paper by using finite time thermodynamics. The heat reservoirs are variable-temperature ones. The irreversible losses in the compressor, turbine, and heat exchangers are considered. Firstly, the cycle performance is optimized by taking four performance indicators, including the dimensionless power output, thermal efficiency, dimensionless power density, and dimensionless ecological function, as the optimization objectives. The impacts of the irreversible losses on the optimization results are analyzed. The results indicate that four objective functions increase as the compressor and turbine efficiencies increase. The influences of the latter efficiency on the cycle performances are more significant than those of the former efficiency. Then, the NSGA-II algorithm is applied for multi-objective optimization, and three different decision methods are used to select the optimal solution from the Pareto frontier. The results show that the dimensionless power density and dimensionless ecological function compromise dimensionless power output and thermal efficiency. The corresponding deviation index of the Shannon Entropy method is equal to the corresponding deviation index of the maximum ecological function. MDPI 2021-02-26 /pmc/articles/PMC7996966/ /pubmed/33652671 http://dx.doi.org/10.3390/e23030282 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ). |
spellingShingle | Article Tang, Chenqi Chen, Lingen Feng, Huijun Ge, Yanlin Four-Objective Optimizations for an Improved Irreversible Closed Modified Simple Brayton Cycle |
title | Four-Objective Optimizations for an Improved Irreversible Closed Modified Simple Brayton Cycle |
title_full | Four-Objective Optimizations for an Improved Irreversible Closed Modified Simple Brayton Cycle |
title_fullStr | Four-Objective Optimizations for an Improved Irreversible Closed Modified Simple Brayton Cycle |
title_full_unstemmed | Four-Objective Optimizations for an Improved Irreversible Closed Modified Simple Brayton Cycle |
title_short | Four-Objective Optimizations for an Improved Irreversible Closed Modified Simple Brayton Cycle |
title_sort | four-objective optimizations for an improved irreversible closed modified simple brayton cycle |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7996966/ https://www.ncbi.nlm.nih.gov/pubmed/33652671 http://dx.doi.org/10.3390/e23030282 |
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