Cargando…
Performance Optimization of a Condenser in Ocean Thermal Energy Conversion (OTEC) System Based on Constructal Theory and a Multi-Objective Genetic Algorithm
Constructal optimization of a plate condenser with fixed heat transfer rate and effective volume in ocean thermal energy conversion (OTEC) system is performed based on constructal theory. Optimizations of entropy generation rate ([Formula: see text]) in heat transfer process and total pumping power...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7517179/ https://www.ncbi.nlm.nih.gov/pubmed/33286413 http://dx.doi.org/10.3390/e22060641 |
_version_ | 1783587170397716480 |
---|---|
author | Wu, Zhixiang Feng, Huijun Chen, Lingen Ge, Yanlin |
author_facet | Wu, Zhixiang Feng, Huijun Chen, Lingen Ge, Yanlin |
author_sort | Wu, Zhixiang |
collection | PubMed |
description | Constructal optimization of a plate condenser with fixed heat transfer rate and effective volume in ocean thermal energy conversion (OTEC) system is performed based on constructal theory. Optimizations of entropy generation rate ([Formula: see text]) in heat transfer process and total pumping power ([Formula: see text]) due to friction loss are two conflicting objectives for a plate condenser. With the conventional optimization method, the plate condenser is designed by taking a composite function (CF) considering both [Formula: see text] and [Formula: see text] as optimization objectives, and employing effective length, width, and effective number of heat transfer plates as design variables. Effects of structural parameters of the plate condenser and weighting coefficient of CF on design results are investigated. With a multi-objective genetic algorithm, the plate condenser is designed by simultaneously optimizing [Formula: see text] and [Formula: see text] , and the Pareto optimal set is obtained. The results demonstrate that CFs after primary and twice-constructal optimizations are respectively reduced by 7.8% and 9.9% compared with the initial CF, and the effective volume of the plate condenser has a positive impact on the twice minimum CF. Furthermore, the Pareto optimal set can provide better selections for performance optimizations of plate condensers. |
format | Online Article Text |
id | pubmed-7517179 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-75171792020-11-09 Performance Optimization of a Condenser in Ocean Thermal Energy Conversion (OTEC) System Based on Constructal Theory and a Multi-Objective Genetic Algorithm Wu, Zhixiang Feng, Huijun Chen, Lingen Ge, Yanlin Entropy (Basel) Article Constructal optimization of a plate condenser with fixed heat transfer rate and effective volume in ocean thermal energy conversion (OTEC) system is performed based on constructal theory. Optimizations of entropy generation rate ([Formula: see text]) in heat transfer process and total pumping power ([Formula: see text]) due to friction loss are two conflicting objectives for a plate condenser. With the conventional optimization method, the plate condenser is designed by taking a composite function (CF) considering both [Formula: see text] and [Formula: see text] as optimization objectives, and employing effective length, width, and effective number of heat transfer plates as design variables. Effects of structural parameters of the plate condenser and weighting coefficient of CF on design results are investigated. With a multi-objective genetic algorithm, the plate condenser is designed by simultaneously optimizing [Formula: see text] and [Formula: see text] , and the Pareto optimal set is obtained. The results demonstrate that CFs after primary and twice-constructal optimizations are respectively reduced by 7.8% and 9.9% compared with the initial CF, and the effective volume of the plate condenser has a positive impact on the twice minimum CF. Furthermore, the Pareto optimal set can provide better selections for performance optimizations of plate condensers. MDPI 2020-06-09 /pmc/articles/PMC7517179/ /pubmed/33286413 http://dx.doi.org/10.3390/e22060641 Text en © 2020 by the authors. 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/). |
spellingShingle | Article Wu, Zhixiang Feng, Huijun Chen, Lingen Ge, Yanlin Performance Optimization of a Condenser in Ocean Thermal Energy Conversion (OTEC) System Based on Constructal Theory and a Multi-Objective Genetic Algorithm |
title | Performance Optimization of a Condenser in Ocean Thermal Energy Conversion (OTEC) System Based on Constructal Theory and a Multi-Objective Genetic Algorithm |
title_full | Performance Optimization of a Condenser in Ocean Thermal Energy Conversion (OTEC) System Based on Constructal Theory and a Multi-Objective Genetic Algorithm |
title_fullStr | Performance Optimization of a Condenser in Ocean Thermal Energy Conversion (OTEC) System Based on Constructal Theory and a Multi-Objective Genetic Algorithm |
title_full_unstemmed | Performance Optimization of a Condenser in Ocean Thermal Energy Conversion (OTEC) System Based on Constructal Theory and a Multi-Objective Genetic Algorithm |
title_short | Performance Optimization of a Condenser in Ocean Thermal Energy Conversion (OTEC) System Based on Constructal Theory and a Multi-Objective Genetic Algorithm |
title_sort | performance optimization of a condenser in ocean thermal energy conversion (otec) system based on constructal theory and a multi-objective genetic algorithm |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7517179/ https://www.ncbi.nlm.nih.gov/pubmed/33286413 http://dx.doi.org/10.3390/e22060641 |
work_keys_str_mv | AT wuzhixiang performanceoptimizationofacondenserinoceanthermalenergyconversionotecsystembasedonconstructaltheoryandamultiobjectivegeneticalgorithm AT fenghuijun performanceoptimizationofacondenserinoceanthermalenergyconversionotecsystembasedonconstructaltheoryandamultiobjectivegeneticalgorithm AT chenlingen performanceoptimizationofacondenserinoceanthermalenergyconversionotecsystembasedonconstructaltheoryandamultiobjectivegeneticalgorithm AT geyanlin performanceoptimizationofacondenserinoceanthermalenergyconversionotecsystembasedonconstructaltheoryandamultiobjectivegeneticalgorithm |