RSM optimization of heat recovery from the chimneys of natural gas boilers using TEGs array: An approach for simultaneous generation of electric power and preheated water

IF 9.9 1区 工程技术 Q1 ENERGY & FUELS
S.H. Pourhoseini , M. Mohammadpoor , M. Baghban
{"title":"RSM optimization of heat recovery from the chimneys of natural gas boilers using TEGs array: An approach for simultaneous generation of electric power and preheated water","authors":"S.H. Pourhoseini ,&nbsp;M. Mohammadpoor ,&nbsp;M. Baghban","doi":"10.1016/j.enconman.2025.119691","DOIUrl":null,"url":null,"abstract":"<div><div>Natural gas as the cleanest fossil fuel has widespread application in households heating systems. However, natural gas has poor radiation and consequently a substantial amount of heat is wasted through the exhaust gas in the chimney of natural gas boilers. The focus of this work is application of Thermoelectric Generators (TEGs) arrays for recovering heat from the chimneys of natural gas boilers aimed at the simultaneous generation of electric power and preheated water and finding the optimum conditions for the process using Response Surface Methodology (RSM) optimization. A TEGs array consisting of 36 TEG modules was installed atop the exhaust gas chimney of a natural gas boiler and output power, flame temperature and energy conversion efficiency were recorded at different equivalence ratios, exhaust gas and water flow rates and co-current and counter-current flows. Finally, the optimum values of the process parameters were determined using RSM optimization. The results indicated that as the resistance of the load was equal to the internal resistance of the TEGs array, the output power was maximized. Furthermore, as the equivalence ratio increases, there is an optimum equivalence ratio such that in this equivalence ratio the output power is maximized. Also, compared to the co-current flow, counter-current flow of water raises the TEGs output power as much as 23.7 %. Finally, an increase in equivalence ratio in the range of 0.4 to 0.7 raises the combined energy conversion efficiency from 32.6 % to 45.8 %. The findings from the RSM optimization reveal a maximum output power of 18.49 W, which is attained by utilizing the optimal values of the parameters analyzed for the boilers. Specifically, these values are an equivalence ratio of 0.7, an exhaust gas flow rate of 201.14 kg/h, and a water flow rate of 2.5 L/min.</div></div>","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"331 ","pages":"Article 119691"},"PeriodicalIF":9.9000,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Energy Conversion and Management","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0196890425002146","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0

Abstract

Natural gas as the cleanest fossil fuel has widespread application in households heating systems. However, natural gas has poor radiation and consequently a substantial amount of heat is wasted through the exhaust gas in the chimney of natural gas boilers. The focus of this work is application of Thermoelectric Generators (TEGs) arrays for recovering heat from the chimneys of natural gas boilers aimed at the simultaneous generation of electric power and preheated water and finding the optimum conditions for the process using Response Surface Methodology (RSM) optimization. A TEGs array consisting of 36 TEG modules was installed atop the exhaust gas chimney of a natural gas boiler and output power, flame temperature and energy conversion efficiency were recorded at different equivalence ratios, exhaust gas and water flow rates and co-current and counter-current flows. Finally, the optimum values of the process parameters were determined using RSM optimization. The results indicated that as the resistance of the load was equal to the internal resistance of the TEGs array, the output power was maximized. Furthermore, as the equivalence ratio increases, there is an optimum equivalence ratio such that in this equivalence ratio the output power is maximized. Also, compared to the co-current flow, counter-current flow of water raises the TEGs output power as much as 23.7 %. Finally, an increase in equivalence ratio in the range of 0.4 to 0.7 raises the combined energy conversion efficiency from 32.6 % to 45.8 %. The findings from the RSM optimization reveal a maximum output power of 18.49 W, which is attained by utilizing the optimal values of the parameters analyzed for the boilers. Specifically, these values are an equivalence ratio of 0.7, an exhaust gas flow rate of 201.14 kg/h, and a water flow rate of 2.5 L/min.
求助全文
约1分钟内获得全文 求助全文
来源期刊
Energy Conversion and Management
Energy Conversion and Management 工程技术-力学
CiteScore
19.00
自引率
11.50%
发文量
1304
审稿时长
17 days
期刊介绍: The journal Energy Conversion and Management provides a forum for publishing original contributions and comprehensive technical review articles of interdisciplinary and original research on all important energy topics. The topics considered include energy generation, utilization, conversion, storage, transmission, conservation, management and sustainability. These topics typically involve various types of energy such as mechanical, thermal, nuclear, chemical, electromagnetic, magnetic and electric. These energy types cover all known energy resources, including renewable resources (e.g., solar, bio, hydro, wind, geothermal and ocean energy), fossil fuels and nuclear resources.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信