跨临界CO2联合冷却与动力系统的热经济优化

IF 7.6 Q1 ENERGY & FUELS
Somayeh Fathi, Rahim Khoshbakhti Saray , Ali Tavakol Aghaei
{"title":"跨临界CO2联合冷却与动力系统的热经济优化","authors":"Somayeh Fathi,&nbsp;Rahim Khoshbakhti Saray ,&nbsp;Ali Tavakol Aghaei","doi":"10.1016/j.ecmx.2025.101292","DOIUrl":null,"url":null,"abstract":"<div><div>The proposed system is a Combined Cooling and Power (CCP) system, comprising both the transcritical CO<sub>2</sub> Rankine cycle and the transcritical CO<sub>2</sub> cooling cycle. In order to analyze the cycle’s performance from energy, exergy, and exergoeconomic perspectives, a comprehensive thermodynamic and thermoeconomic model of the cycle was developed. The findings revealed that a significant portion of exergy destruction occurs within the power cycle, particularly in the gas heater. Moreover, the average exergy cost in the refrigeration cycle was observed to be higher than that in the power cycle. To optimize the system’s performance, a Multi-Objective Optimization method using a genetic algorithm in MATLAB software was employed, considering 11 decision variables and using the objective functions of exergy efficiency and average cost per unit of exergy of products. The results demonstrated noteworthy improvements, with the exergy efficiency increasing from 32.08% in the base case to 44.15% in the optimal case, and the average cost per unit of exergy of products decreasing from 0.1544 $/MJ in the base case to 0.111 $/MJ in the optimal case. These optimizations signify the potential for enhancing the overall efficiency and cost-effectiveness of the proposed CCP system.</div></div>","PeriodicalId":37131,"journal":{"name":"Energy Conversion and Management-X","volume":"28 ","pages":"Article 101292"},"PeriodicalIF":7.6000,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Thermoeconomic optimization of a transcritical CO2 combined cooling and power system\",\"authors\":\"Somayeh Fathi,&nbsp;Rahim Khoshbakhti Saray ,&nbsp;Ali Tavakol Aghaei\",\"doi\":\"10.1016/j.ecmx.2025.101292\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The proposed system is a Combined Cooling and Power (CCP) system, comprising both the transcritical CO<sub>2</sub> Rankine cycle and the transcritical CO<sub>2</sub> cooling cycle. In order to analyze the cycle’s performance from energy, exergy, and exergoeconomic perspectives, a comprehensive thermodynamic and thermoeconomic model of the cycle was developed. The findings revealed that a significant portion of exergy destruction occurs within the power cycle, particularly in the gas heater. Moreover, the average exergy cost in the refrigeration cycle was observed to be higher than that in the power cycle. To optimize the system’s performance, a Multi-Objective Optimization method using a genetic algorithm in MATLAB software was employed, considering 11 decision variables and using the objective functions of exergy efficiency and average cost per unit of exergy of products. The results demonstrated noteworthy improvements, with the exergy efficiency increasing from 32.08% in the base case to 44.15% in the optimal case, and the average cost per unit of exergy of products decreasing from 0.1544 $/MJ in the base case to 0.111 $/MJ in the optimal case. These optimizations signify the potential for enhancing the overall efficiency and cost-effectiveness of the proposed CCP system.</div></div>\",\"PeriodicalId\":37131,\"journal\":{\"name\":\"Energy Conversion and Management-X\",\"volume\":\"28 \",\"pages\":\"Article 101292\"},\"PeriodicalIF\":7.6000,\"publicationDate\":\"2025-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Energy Conversion and Management-X\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2590174525004246\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENERGY & FUELS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Energy Conversion and Management-X","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2590174525004246","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0

摘要

所提出的系统是一个冷却和动力(CCP)联合系统,包括跨临界CO2朗肯循环和跨临界CO2冷却循环。为了从能源、火用和火用经济的角度分析该循环的性能,建立了该循环的综合热力学和热经济模型。研究结果表明,相当一部分的火用破坏发生在电力循环中,特别是在燃气加热器中。此外,制冷循环中的平均火用成本高于动力循环中的平均火用成本。为优化系统性能,采用MATLAB软件中基于遗传算法的多目标优化方法,考虑11个决策变量,以产品的用能效率和单位用能平均成本为目标函数。结果表明,优化后的产品用能效率由基本情况下的32.08%提高到最优情况下的44.15%,产品单位用能平均成本由基本情况下的0.1544美元/MJ降低到最优情况下的0.111美元/MJ。这些优化表明了提高所提议的CCP系统的整体效率和成本效益的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Thermoeconomic optimization of a transcritical CO2 combined cooling and power system
The proposed system is a Combined Cooling and Power (CCP) system, comprising both the transcritical CO2 Rankine cycle and the transcritical CO2 cooling cycle. In order to analyze the cycle’s performance from energy, exergy, and exergoeconomic perspectives, a comprehensive thermodynamic and thermoeconomic model of the cycle was developed. The findings revealed that a significant portion of exergy destruction occurs within the power cycle, particularly in the gas heater. Moreover, the average exergy cost in the refrigeration cycle was observed to be higher than that in the power cycle. To optimize the system’s performance, a Multi-Objective Optimization method using a genetic algorithm in MATLAB software was employed, considering 11 decision variables and using the objective functions of exergy efficiency and average cost per unit of exergy of products. The results demonstrated noteworthy improvements, with the exergy efficiency increasing from 32.08% in the base case to 44.15% in the optimal case, and the average cost per unit of exergy of products decreasing from 0.1544 $/MJ in the base case to 0.111 $/MJ in the optimal case. These optimizations signify the potential for enhancing the overall efficiency and cost-effectiveness of the proposed CCP system.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
8.80
自引率
3.20%
发文量
180
审稿时长
58 days
期刊介绍: Energy Conversion and Management: X is the open access extension of the reputable journal Energy Conversion and Management, serving as a platform for interdisciplinary research on a wide array of critical energy subjects. The journal is dedicated to publishing original contributions and in-depth technical review articles that present groundbreaking research on topics spanning energy generation, utilization, conversion, storage, transmission, conservation, management, and sustainability. The scope of Energy Conversion and Management: X encompasses various forms of energy, including mechanical, thermal, nuclear, chemical, electromagnetic, magnetic, and electric energy. It addresses all known energy resources, highlighting both conventional sources like fossil fuels and nuclear power, as well as renewable resources such as solar, biomass, hydro, wind, geothermal, and ocean energy.
×
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:604180095
Book学术官方微信