{"title":"有机朗肯循环的动态特性及预测控制","authors":"Jian-hang Zhang, Ying Li, Zhuofei Wang, G. Hou","doi":"10.1109/ICIEA.2012.6360737","DOIUrl":null,"url":null,"abstract":"Organic Rankine Cycle (ORC) is particularly suitable for the recovery of energy from low-quality heat sources. In this paper, a generalized predictive controller is proposed for a low-quality heat recovery process operating on an Organic Rankine Cycle. The simulation results show that the proposed control strategy can achieve good transient and steady response along with decoupling performance.","PeriodicalId":220747,"journal":{"name":"2012 7th IEEE Conference on Industrial Electronics and Applications (ICIEA)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Dynamic characteristics and predictive control for Organic Rankine Cycle\",\"authors\":\"Jian-hang Zhang, Ying Li, Zhuofei Wang, G. Hou\",\"doi\":\"10.1109/ICIEA.2012.6360737\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Organic Rankine Cycle (ORC) is particularly suitable for the recovery of energy from low-quality heat sources. In this paper, a generalized predictive controller is proposed for a low-quality heat recovery process operating on an Organic Rankine Cycle. The simulation results show that the proposed control strategy can achieve good transient and steady response along with decoupling performance.\",\"PeriodicalId\":220747,\"journal\":{\"name\":\"2012 7th IEEE Conference on Industrial Electronics and Applications (ICIEA)\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-07-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 7th IEEE Conference on Industrial Electronics and Applications (ICIEA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIEA.2012.6360737\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 7th IEEE Conference on Industrial Electronics and Applications (ICIEA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIEA.2012.6360737","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Dynamic characteristics and predictive control for Organic Rankine Cycle
Organic Rankine Cycle (ORC) is particularly suitable for the recovery of energy from low-quality heat sources. In this paper, a generalized predictive controller is proposed for a low-quality heat recovery process operating on an Organic Rankine Cycle. The simulation results show that the proposed control strategy can achieve good transient and steady response along with decoupling performance.