Integrating a multigeneration system into a biogas-fueled gas turbine power plant for CO2 emission reduction: An efficient design and exergy-economic assessment

IF 3.9 2区 工程技术 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computers & Chemical Engineering Pub Date : 2025-02-25 DOI:10.1016/j.compchemeng.2025.109076
Lunan Li , Zhimin Wu , Chuan Jin
{"title":"Integrating a multigeneration system into a biogas-fueled gas turbine power plant for CO2 emission reduction: An efficient design and exergy-economic assessment","authors":"Lunan Li ,&nbsp;Zhimin Wu ,&nbsp;Chuan Jin","doi":"10.1016/j.compchemeng.2025.109076","DOIUrl":null,"url":null,"abstract":"<div><div>Integrating renewable sources with existing power plants represents a viable strategy for enhancing feasibility, reducing thermodynamic irreversibility, and lowering air pollution. This study employs a biomass digestion method to produce syngas, which feeds a post-combustion chamber to assist a methane-fueled Brayton cycle. An efficient heat design model is developed using the Engineering Equation Solver (EES), integrating a geothermal-powered trigeneration unit with the upper cycle to produce power, cooling, and potable water. The integrated scheme includes a flash-binary geothermal plant, a separation vessel desalination process, multi-effect desalination, and generator-absorber-heat exchange refrigeration units. Energy, exergy, and economic analyses are conducted to assess the thermodynamic and economic feasibility of the system. A multi-criteria optimization is conducted in two scenarios: power-freshwater and exergy-net present value (NPV), using an integrated Histogram Gradient Boosting Regression (HGBR) and Multi-Objective Particle Swarm Optimization (MOPSO) model. The first scenario showed a 55.37 % increase in net electricity output (2100.28 kW) and a 51.7 % improvement in freshwater generation (36.09 kg/s) compared to the base case. The optimum point revealed an exergy efficiency of 28.36 %, a total NPV of $5.703 M, and a payback period of 4.85 years. In the second scenario, an exergy efficiency of 29.52 %, an NPV of $4.41 M, and a payback period of 5.37 years are achieved. Based on the results, the first scenario demonstrates superior performance.</div></div>","PeriodicalId":286,"journal":{"name":"Computers & Chemical Engineering","volume":"197 ","pages":"Article 109076"},"PeriodicalIF":3.9000,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers & Chemical Engineering","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0098135425000808","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0

Abstract

Integrating renewable sources with existing power plants represents a viable strategy for enhancing feasibility, reducing thermodynamic irreversibility, and lowering air pollution. This study employs a biomass digestion method to produce syngas, which feeds a post-combustion chamber to assist a methane-fueled Brayton cycle. An efficient heat design model is developed using the Engineering Equation Solver (EES), integrating a geothermal-powered trigeneration unit with the upper cycle to produce power, cooling, and potable water. The integrated scheme includes a flash-binary geothermal plant, a separation vessel desalination process, multi-effect desalination, and generator-absorber-heat exchange refrigeration units. Energy, exergy, and economic analyses are conducted to assess the thermodynamic and economic feasibility of the system. A multi-criteria optimization is conducted in two scenarios: power-freshwater and exergy-net present value (NPV), using an integrated Histogram Gradient Boosting Regression (HGBR) and Multi-Objective Particle Swarm Optimization (MOPSO) model. The first scenario showed a 55.37 % increase in net electricity output (2100.28 kW) and a 51.7 % improvement in freshwater generation (36.09 kg/s) compared to the base case. The optimum point revealed an exergy efficiency of 28.36 %, a total NPV of $5.703 M, and a payback period of 4.85 years. In the second scenario, an exergy efficiency of 29.52 %, an NPV of $4.41 M, and a payback period of 5.37 years are achieved. Based on the results, the first scenario demonstrates superior performance.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
求助全文
约1分钟内获得全文 去求助
来源期刊
Computers & Chemical Engineering
Computers & Chemical Engineering 工程技术-工程:化工
CiteScore
8.70
自引率
14.00%
发文量
374
审稿时长
70 days
期刊介绍: Computers & Chemical Engineering is primarily a journal of record for new developments in the application of computing and systems technology to chemical engineering problems.
期刊最新文献
Integrating economic, environmental, and social sustainability in Power-to-Ammonia plants: A multi-objective optimization methodology Optimal design of hybrid multigeneration systems to enhance sustainability in the residential sector Mass-Constrained hybrid Gaussian radial basis neural networks: Development, training, and applications to modeling nonlinear dynamic noisy chemical processes Editorial Board Integrating a multigeneration system into a biogas-fueled gas turbine power plant for CO2 emission reduction: An efficient design and exergy-economic assessment
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1