{"title":"应用计算机辅助分子设计和群贡献法对ORC系统工质进行设计与选择","authors":"Xiaowei Hu, Tianyao Ma, Shengming Dong, Chen Zhang, Wenhui Zhuang, Tong Zhang","doi":"10.1016/j.applthermaleng.2025.126593","DOIUrl":null,"url":null,"abstract":"<div><div>The organic Rankine cycle (ORC) is a promising technology for low-temperature heat recovery, with its performance heavily dependent on the working fluid. Conventional working fluid selection methods are limited to existing fluids, restricting the development of new, high-performance working fluids. This study aims to develop a comprehensive methodology for large-scale WF design and selection using group-contribution-based computer-aided molecular design (CAMD). Moreover, the backtracking search algorithm is adopted to effectively generate the molecular structures of the massive working fluids. A total of 9771 potential WFs were generated and screened through a multi-level screening process, resulting in 121 and 122 WFs selected for single-pressure evaporation ORC (SPEC) and dual-pressure evaporation ORC (DPEC), respectively. Statistical analysis revealed that 85.6 % of the top 35 WFs exhibited boiling point (<em>T<sub>b</sub></em>) between 288 and 298 K, and 92.5 % had critical temperature (<em>T<sub>c</sub></em>) in the range of 440–460 K. Notably, 9 of 10 HCFOs and 17 non-existent HFOs ranked among the top performers, with R1233zd(E) showing the best performance. Furthermore, R1381yf and R1345yf(Z) are identified as the best-performing HFOs in both ORC configurations involved. This study provides a systematic framework for WF development, offering valuable insights for optimizing ORC systems.</div></div>","PeriodicalId":8201,"journal":{"name":"Applied Thermal Engineering","volume":"274 ","pages":"Article 126593"},"PeriodicalIF":6.1000,"publicationDate":"2025-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Design and selection of working fluids for ORC system using computer-aided molecular design and group contribution method\",\"authors\":\"Xiaowei Hu, Tianyao Ma, Shengming Dong, Chen Zhang, Wenhui Zhuang, Tong Zhang\",\"doi\":\"10.1016/j.applthermaleng.2025.126593\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The organic Rankine cycle (ORC) is a promising technology for low-temperature heat recovery, with its performance heavily dependent on the working fluid. Conventional working fluid selection methods are limited to existing fluids, restricting the development of new, high-performance working fluids. This study aims to develop a comprehensive methodology for large-scale WF design and selection using group-contribution-based computer-aided molecular design (CAMD). Moreover, the backtracking search algorithm is adopted to effectively generate the molecular structures of the massive working fluids. A total of 9771 potential WFs were generated and screened through a multi-level screening process, resulting in 121 and 122 WFs selected for single-pressure evaporation ORC (SPEC) and dual-pressure evaporation ORC (DPEC), respectively. Statistical analysis revealed that 85.6 % of the top 35 WFs exhibited boiling point (<em>T<sub>b</sub></em>) between 288 and 298 K, and 92.5 % had critical temperature (<em>T<sub>c</sub></em>) in the range of 440–460 K. Notably, 9 of 10 HCFOs and 17 non-existent HFOs ranked among the top performers, with R1233zd(E) showing the best performance. Furthermore, R1381yf and R1345yf(Z) are identified as the best-performing HFOs in both ORC configurations involved. This study provides a systematic framework for WF development, offering valuable insights for optimizing ORC systems.</div></div>\",\"PeriodicalId\":8201,\"journal\":{\"name\":\"Applied Thermal Engineering\",\"volume\":\"274 \",\"pages\":\"Article 126593\"},\"PeriodicalIF\":6.1000,\"publicationDate\":\"2025-04-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied Thermal Engineering\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1359431125011858\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENERGY & FUELS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Thermal Engineering","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1359431125011858","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
Design and selection of working fluids for ORC system using computer-aided molecular design and group contribution method
The organic Rankine cycle (ORC) is a promising technology for low-temperature heat recovery, with its performance heavily dependent on the working fluid. Conventional working fluid selection methods are limited to existing fluids, restricting the development of new, high-performance working fluids. This study aims to develop a comprehensive methodology for large-scale WF design and selection using group-contribution-based computer-aided molecular design (CAMD). Moreover, the backtracking search algorithm is adopted to effectively generate the molecular structures of the massive working fluids. A total of 9771 potential WFs were generated and screened through a multi-level screening process, resulting in 121 and 122 WFs selected for single-pressure evaporation ORC (SPEC) and dual-pressure evaporation ORC (DPEC), respectively. Statistical analysis revealed that 85.6 % of the top 35 WFs exhibited boiling point (Tb) between 288 and 298 K, and 92.5 % had critical temperature (Tc) in the range of 440–460 K. Notably, 9 of 10 HCFOs and 17 non-existent HFOs ranked among the top performers, with R1233zd(E) showing the best performance. Furthermore, R1381yf and R1345yf(Z) are identified as the best-performing HFOs in both ORC configurations involved. This study provides a systematic framework for WF development, offering valuable insights for optimizing ORC systems.
期刊介绍:
Applied Thermal Engineering disseminates novel research related to the design, development and demonstration of components, devices, equipment, technologies and systems involving thermal processes for the production, storage, utilization and conservation of energy, with a focus on engineering application.
The journal publishes high-quality and high-impact Original Research Articles, Review Articles, Short Communications and Letters to the Editor on cutting-edge innovations in research, and recent advances or issues of interest to the thermal engineering community.