Loading…

Performance enhancement for exhaust thermoelectric power generation system by using porous pin fins based on a fully automatic optimization method

•Effect of porous material and distribution of the pin fins is analyzed in detail physically.•Fully automatic multi-parameters/objectives optimization method is conducted.•Optimal distribution and number of porous pin fins is found for ETEG system. An intelligent optimization method combining Non-do...

Full description

Saved in:
Bibliographic Details
Published in:Energy conversion and management 2022-12, Vol.273, p.116404, Article 116404
Main Authors: Meng, Jing-Hui, Liu, Yan, Zhu, Xing-Hao, Yang, Zi-Jing, Zhang, Kai, Lu, Gui
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c345t-3d09a37928eec95408f75836063350a8e75ee11759c2ddb21cfa62e05387c6173
cites cdi_FETCH-LOGICAL-c345t-3d09a37928eec95408f75836063350a8e75ee11759c2ddb21cfa62e05387c6173
container_end_page
container_issue
container_start_page 116404
container_title Energy conversion and management
container_volume 273
creator Meng, Jing-Hui
Liu, Yan
Zhu, Xing-Hao
Yang, Zi-Jing
Zhang, Kai
Lu, Gui
description •Effect of porous material and distribution of the pin fins is analyzed in detail physically.•Fully automatic multi-parameters/objectives optimization method is conducted.•Optimal distribution and number of porous pin fins is found for ETEG system. An intelligent optimization method combining Non-dominated Sorting Genetic Algorithm-II (NSGA-II) algorithm and Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) decision is implemented to design the optimal arrangement of porous pin fins in the flow channel of the exhaust thermoelectric power generation (ETEG) system. This method realizes the optimal arrangement of the porous pin fins while considering the two contradictory performance indicators at the optimization level: system output power (P) and pressure drop (Pd). In this work, the design of porous and solid pin fins is first compared. Secondly, four typical pin fins arrangement models are established with preliminary analysis. Finally, the NSGA-II-TOPSIS intelligent optimization method is implemented, which takes P and Pd as objective function, the position, number and relative distance of the porous pin fins as optimization variables simultaneously. Through iterative optimization, the optimal arrangement scheme achieves a proper balance between P and Pd. The main conclusions include: The design of the porous pin fins can increase 22.89% for P of the ETEG system while reduces 82.98% for Pd. The distribution of dense downstream of porous pin fins can best improve the ETEG system performance. After optimization, higher P and lower Pd of the ETEG system are obtained with fewer pin fins. A new index is proposed to evaluate optimal solutions, the optimal design with 2 porous pin fins reaches the highest value: 5.86 W Pa−1, which means that each pin fin is fully used.
doi_str_mv 10.1016/j.enconman.2022.116404
format article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_crossref_primary_10_1016_j_enconman_2022_116404</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0196890422011827</els_id><sourcerecordid>3153812642</sourcerecordid><originalsourceid>FETCH-LOGICAL-c345t-3d09a37928eec95408f75836063350a8e75ee11759c2ddb21cfa62e05387c6173</originalsourceid><addsrcrecordid>eNqFkc1O5DAQhC0EErMDr4B85JLBP4mT3EBo-ZGQ4ABny-N0GI9iO9gOy_AYPDEehT1zaqn1VamrC6EzSlaUUHGxXYHT3lnlVowwtqJUlKQ8QAva1G3BGKsP0YLQVhRNS8pj9CfGLSGEV0Qs0NcThN6HLNaAwW3204JLOC8xfGzUFBNOGwjWwwA6BaPx6P9BwK_gIKhkvMNxFxNYvN7hKRr3moHgp4hH43BvXMRrFaHDGVS4n4Zhh9WUvM1ajf2YjDWfs4-FtPHdCTrq1RDh9Gcu0cvN3-fru-Lh8fb--uqh0LysUsE70ipet6wB0G1Vkqavq4YLIniOphqoKwBK66rVrOvWjOpeCQak4k2tBa35Ep3PvmPwbxPEJK2JGoZBOcjnS04zSpkoWUbFjOrgYwzQyzEYq8JOUiL3Jcit_F-C3Jcg5xKy8HIWQg7ybiDIqE0moTMhf1N23vxm8Q146Zco</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3153812642</pqid></control><display><type>article</type><title>Performance enhancement for exhaust thermoelectric power generation system by using porous pin fins based on a fully automatic optimization method</title><source>ScienceDirect Journals</source><creator>Meng, Jing-Hui ; Liu, Yan ; Zhu, Xing-Hao ; Yang, Zi-Jing ; Zhang, Kai ; Lu, Gui</creator><creatorcontrib>Meng, Jing-Hui ; Liu, Yan ; Zhu, Xing-Hao ; Yang, Zi-Jing ; Zhang, Kai ; Lu, Gui</creatorcontrib><description>•Effect of porous material and distribution of the pin fins is analyzed in detail physically.•Fully automatic multi-parameters/objectives optimization method is conducted.•Optimal distribution and number of porous pin fins is found for ETEG system. An intelligent optimization method combining Non-dominated Sorting Genetic Algorithm-II (NSGA-II) algorithm and Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) decision is implemented to design the optimal arrangement of porous pin fins in the flow channel of the exhaust thermoelectric power generation (ETEG) system. This method realizes the optimal arrangement of the porous pin fins while considering the two contradictory performance indicators at the optimization level: system output power (P) and pressure drop (Pd). In this work, the design of porous and solid pin fins is first compared. Secondly, four typical pin fins arrangement models are established with preliminary analysis. Finally, the NSGA-II-TOPSIS intelligent optimization method is implemented, which takes P and Pd as objective function, the position, number and relative distance of the porous pin fins as optimization variables simultaneously. Through iterative optimization, the optimal arrangement scheme achieves a proper balance between P and Pd. The main conclusions include: The design of the porous pin fins can increase 22.89% for P of the ETEG system while reduces 82.98% for Pd. The distribution of dense downstream of porous pin fins can best improve the ETEG system performance. After optimization, higher P and lower Pd of the ETEG system are obtained with fewer pin fins. A new index is proposed to evaluate optimal solutions, the optimal design with 2 porous pin fins reaches the highest value: 5.86 W Pa−1, which means that each pin fin is fully used.</description><identifier>ISSN: 0196-8904</identifier><identifier>EISSN: 1879-2227</identifier><identifier>DOI: 10.1016/j.enconman.2022.116404</identifier><language>eng</language><publisher>Elsevier Ltd</publisher><subject>administrative management ; algorithms ; energy conversion ; Multi-objective automatic optimization ; Porous material ; power generation ; system optimization ; Thermoelectric generator ; TOPSIS decision</subject><ispartof>Energy conversion and management, 2022-12, Vol.273, p.116404, Article 116404</ispartof><rights>2022 Elsevier Ltd</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c345t-3d09a37928eec95408f75836063350a8e75ee11759c2ddb21cfa62e05387c6173</citedby><cites>FETCH-LOGICAL-c345t-3d09a37928eec95408f75836063350a8e75ee11759c2ddb21cfa62e05387c6173</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27922,27923</link.rule.ids></links><search><creatorcontrib>Meng, Jing-Hui</creatorcontrib><creatorcontrib>Liu, Yan</creatorcontrib><creatorcontrib>Zhu, Xing-Hao</creatorcontrib><creatorcontrib>Yang, Zi-Jing</creatorcontrib><creatorcontrib>Zhang, Kai</creatorcontrib><creatorcontrib>Lu, Gui</creatorcontrib><title>Performance enhancement for exhaust thermoelectric power generation system by using porous pin fins based on a fully automatic optimization method</title><title>Energy conversion and management</title><description>•Effect of porous material and distribution of the pin fins is analyzed in detail physically.•Fully automatic multi-parameters/objectives optimization method is conducted.•Optimal distribution and number of porous pin fins is found for ETEG system. An intelligent optimization method combining Non-dominated Sorting Genetic Algorithm-II (NSGA-II) algorithm and Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) decision is implemented to design the optimal arrangement of porous pin fins in the flow channel of the exhaust thermoelectric power generation (ETEG) system. This method realizes the optimal arrangement of the porous pin fins while considering the two contradictory performance indicators at the optimization level: system output power (P) and pressure drop (Pd). In this work, the design of porous and solid pin fins is first compared. Secondly, four typical pin fins arrangement models are established with preliminary analysis. Finally, the NSGA-II-TOPSIS intelligent optimization method is implemented, which takes P and Pd as objective function, the position, number and relative distance of the porous pin fins as optimization variables simultaneously. Through iterative optimization, the optimal arrangement scheme achieves a proper balance between P and Pd. The main conclusions include: The design of the porous pin fins can increase 22.89% for P of the ETEG system while reduces 82.98% for Pd. The distribution of dense downstream of porous pin fins can best improve the ETEG system performance. After optimization, higher P and lower Pd of the ETEG system are obtained with fewer pin fins. A new index is proposed to evaluate optimal solutions, the optimal design with 2 porous pin fins reaches the highest value: 5.86 W Pa−1, which means that each pin fin is fully used.</description><subject>administrative management</subject><subject>algorithms</subject><subject>energy conversion</subject><subject>Multi-objective automatic optimization</subject><subject>Porous material</subject><subject>power generation</subject><subject>system optimization</subject><subject>Thermoelectric generator</subject><subject>TOPSIS decision</subject><issn>0196-8904</issn><issn>1879-2227</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNqFkc1O5DAQhC0EErMDr4B85JLBP4mT3EBo-ZGQ4ABny-N0GI9iO9gOy_AYPDEehT1zaqn1VamrC6EzSlaUUHGxXYHT3lnlVowwtqJUlKQ8QAva1G3BGKsP0YLQVhRNS8pj9CfGLSGEV0Qs0NcThN6HLNaAwW3204JLOC8xfGzUFBNOGwjWwwA6BaPx6P9BwK_gIKhkvMNxFxNYvN7hKRr3moHgp4hH43BvXMRrFaHDGVS4n4Zhh9WUvM1ajf2YjDWfs4-FtPHdCTrq1RDh9Gcu0cvN3-fru-Lh8fb--uqh0LysUsE70ipet6wB0G1Vkqavq4YLIniOphqoKwBK66rVrOvWjOpeCQak4k2tBa35Ep3PvmPwbxPEJK2JGoZBOcjnS04zSpkoWUbFjOrgYwzQyzEYq8JOUiL3Jcit_F-C3Jcg5xKy8HIWQg7ybiDIqE0moTMhf1N23vxm8Q146Zco</recordid><startdate>20221201</startdate><enddate>20221201</enddate><creator>Meng, Jing-Hui</creator><creator>Liu, Yan</creator><creator>Zhu, Xing-Hao</creator><creator>Yang, Zi-Jing</creator><creator>Zhang, Kai</creator><creator>Lu, Gui</creator><general>Elsevier Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7S9</scope><scope>L.6</scope></search><sort><creationdate>20221201</creationdate><title>Performance enhancement for exhaust thermoelectric power generation system by using porous pin fins based on a fully automatic optimization method</title><author>Meng, Jing-Hui ; Liu, Yan ; Zhu, Xing-Hao ; Yang, Zi-Jing ; Zhang, Kai ; Lu, Gui</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c345t-3d09a37928eec95408f75836063350a8e75ee11759c2ddb21cfa62e05387c6173</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>administrative management</topic><topic>algorithms</topic><topic>energy conversion</topic><topic>Multi-objective automatic optimization</topic><topic>Porous material</topic><topic>power generation</topic><topic>system optimization</topic><topic>Thermoelectric generator</topic><topic>TOPSIS decision</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Meng, Jing-Hui</creatorcontrib><creatorcontrib>Liu, Yan</creatorcontrib><creatorcontrib>Zhu, Xing-Hao</creatorcontrib><creatorcontrib>Yang, Zi-Jing</creatorcontrib><creatorcontrib>Zhang, Kai</creatorcontrib><creatorcontrib>Lu, Gui</creatorcontrib><collection>CrossRef</collection><collection>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><jtitle>Energy conversion and management</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Meng, Jing-Hui</au><au>Liu, Yan</au><au>Zhu, Xing-Hao</au><au>Yang, Zi-Jing</au><au>Zhang, Kai</au><au>Lu, Gui</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Performance enhancement for exhaust thermoelectric power generation system by using porous pin fins based on a fully automatic optimization method</atitle><jtitle>Energy conversion and management</jtitle><date>2022-12-01</date><risdate>2022</risdate><volume>273</volume><spage>116404</spage><pages>116404-</pages><artnum>116404</artnum><issn>0196-8904</issn><eissn>1879-2227</eissn><abstract>•Effect of porous material and distribution of the pin fins is analyzed in detail physically.•Fully automatic multi-parameters/objectives optimization method is conducted.•Optimal distribution and number of porous pin fins is found for ETEG system. An intelligent optimization method combining Non-dominated Sorting Genetic Algorithm-II (NSGA-II) algorithm and Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) decision is implemented to design the optimal arrangement of porous pin fins in the flow channel of the exhaust thermoelectric power generation (ETEG) system. This method realizes the optimal arrangement of the porous pin fins while considering the two contradictory performance indicators at the optimization level: system output power (P) and pressure drop (Pd). In this work, the design of porous and solid pin fins is first compared. Secondly, four typical pin fins arrangement models are established with preliminary analysis. Finally, the NSGA-II-TOPSIS intelligent optimization method is implemented, which takes P and Pd as objective function, the position, number and relative distance of the porous pin fins as optimization variables simultaneously. Through iterative optimization, the optimal arrangement scheme achieves a proper balance between P and Pd. The main conclusions include: The design of the porous pin fins can increase 22.89% for P of the ETEG system while reduces 82.98% for Pd. The distribution of dense downstream of porous pin fins can best improve the ETEG system performance. After optimization, higher P and lower Pd of the ETEG system are obtained with fewer pin fins. A new index is proposed to evaluate optimal solutions, the optimal design with 2 porous pin fins reaches the highest value: 5.86 W Pa−1, which means that each pin fin is fully used.</abstract><pub>Elsevier Ltd</pub><doi>10.1016/j.enconman.2022.116404</doi></addata></record>
fulltext fulltext
identifier ISSN: 0196-8904
ispartof Energy conversion and management, 2022-12, Vol.273, p.116404, Article 116404
issn 0196-8904
1879-2227
language eng
recordid cdi_crossref_primary_10_1016_j_enconman_2022_116404
source ScienceDirect Journals
subjects administrative management
algorithms
energy conversion
Multi-objective automatic optimization
Porous material
power generation
system optimization
Thermoelectric generator
TOPSIS decision
title Performance enhancement for exhaust thermoelectric power generation system by using porous pin fins based on a fully automatic optimization method
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-14T13%3A26%3A19IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Performance%20enhancement%20for%20exhaust%20thermoelectric%20power%20generation%20system%20by%20using%20porous%20pin%20fins%20based%20on%20a%20fully%20automatic%20optimization%20method&rft.jtitle=Energy%20conversion%20and%20management&rft.au=Meng,%20Jing-Hui&rft.date=2022-12-01&rft.volume=273&rft.spage=116404&rft.pages=116404-&rft.artnum=116404&rft.issn=0196-8904&rft.eissn=1879-2227&rft_id=info:doi/10.1016/j.enconman.2022.116404&rft_dat=%3Cproquest_cross%3E3153812642%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c345t-3d09a37928eec95408f75836063350a8e75ee11759c2ddb21cfa62e05387c6173%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=3153812642&rft_id=info:pmid/&rfr_iscdi=true