{"title":"通过 R 曲线分析,整合吸收式冷却系统,提高公用事业系统的能源效率","authors":"Ali Rahmani , Mohsen Salimi , Majid Amidpour","doi":"10.1016/j.clet.2024.100791","DOIUrl":null,"url":null,"abstract":"<div><p>This paper presents a novel approach for upgrading utility systems by integrating absorption cooling systems using R-curve analysis. The key contributions include a comprehensive methodology for drawing the R-curve, determining priority paths, and optimizing the system without additional capital costs; a step-by-step case study illustrating the process of integrating two absorption chillers and analyzing their impact on cogeneration efficiency and the R-curve; equations for calculating cogeneration efficiency and power efficiency for different turbine paths to prioritize the most efficient paths; and findings revealing that integrating absorption chillers can significantly impact system performance, potentially increasing or decreasing cogeneration efficiency depending on the specific system. The proposed approach enables engineers to optimize utility systems by leveraging existing equipment and integrating absorption cooling efficiently, with the R-curve analysis providing a powerful tool for visualizing and optimizing the system to achieve the best balance of power, cooling, and heating. The findings demonstrate that careful analysis and optimization of the utility system using R-curve techniques can unlock significant energy savings and emissions reductions by prioritizing the most efficient turbine paths and integrating absorption cooling optimally.</p></div>","PeriodicalId":34618,"journal":{"name":"Cleaner Engineering and Technology","volume":"22 ","pages":"Article 100791"},"PeriodicalIF":5.3000,"publicationDate":"2024-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666790824000715/pdfft?md5=cad914b4f8c164e2ad9ab020277afdff&pid=1-s2.0-S2666790824000715-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Enhancing energy efficiency of the utility system through R-curve analysis by integrating absorption cooling systems\",\"authors\":\"Ali Rahmani , Mohsen Salimi , Majid Amidpour\",\"doi\":\"10.1016/j.clet.2024.100791\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>This paper presents a novel approach for upgrading utility systems by integrating absorption cooling systems using R-curve analysis. The key contributions include a comprehensive methodology for drawing the R-curve, determining priority paths, and optimizing the system without additional capital costs; a step-by-step case study illustrating the process of integrating two absorption chillers and analyzing their impact on cogeneration efficiency and the R-curve; equations for calculating cogeneration efficiency and power efficiency for different turbine paths to prioritize the most efficient paths; and findings revealing that integrating absorption chillers can significantly impact system performance, potentially increasing or decreasing cogeneration efficiency depending on the specific system. The proposed approach enables engineers to optimize utility systems by leveraging existing equipment and integrating absorption cooling efficiently, with the R-curve analysis providing a powerful tool for visualizing and optimizing the system to achieve the best balance of power, cooling, and heating. 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引用次数: 0
摘要
本文介绍了一种通过使用 R 曲线分析整合吸收式冷却系统来升级公用事业系统的新方法。其主要贡献包括:绘制 R 曲线、确定优先路径以及在不增加资本成本的情况下优化系统的综合方法;分步案例研究,说明集成两台吸收式冷却器的过程,并分析其对热电联产效率和 R 曲线的影响;计算不同涡轮机路径的热电联产效率和功率效率的方程,以优先考虑效率最高的路径;研究结果表明,集成吸收式冷却器会对系统性能产生重大影响,可能会根据特定系统提高或降低热电联产效率。所提出的方法使工程师能够通过利用现有设备和有效集成吸收冷却来优化公用事业系统,R 曲线分析为可视化和优化系统提供了强大的工具,以实现电力、冷却和加热的最佳平衡。研究结果表明,利用 R 曲线技术对公用事业系统进行仔细分析和优化,可以优先考虑最高效的涡轮机路径,并优化集成吸收冷却系统,从而实现显著的节能减排效果。
Enhancing energy efficiency of the utility system through R-curve analysis by integrating absorption cooling systems
This paper presents a novel approach for upgrading utility systems by integrating absorption cooling systems using R-curve analysis. The key contributions include a comprehensive methodology for drawing the R-curve, determining priority paths, and optimizing the system without additional capital costs; a step-by-step case study illustrating the process of integrating two absorption chillers and analyzing their impact on cogeneration efficiency and the R-curve; equations for calculating cogeneration efficiency and power efficiency for different turbine paths to prioritize the most efficient paths; and findings revealing that integrating absorption chillers can significantly impact system performance, potentially increasing or decreasing cogeneration efficiency depending on the specific system. The proposed approach enables engineers to optimize utility systems by leveraging existing equipment and integrating absorption cooling efficiently, with the R-curve analysis providing a powerful tool for visualizing and optimizing the system to achieve the best balance of power, cooling, and heating. The findings demonstrate that careful analysis and optimization of the utility system using R-curve techniques can unlock significant energy savings and emissions reductions by prioritizing the most efficient turbine paths and integrating absorption cooling optimally.