{"title":"太阳能冷却系统的最优控制","authors":"M. Salman, S. Kotob, M. Juraidan","doi":"10.1002/OCA.4660090207","DOIUrl":null,"url":null,"abstract":"In this paper a control algorithm that minimizes the auxiliary energy consumption in a typical solar cooling system while maintaining appropriate comfortable conditions in the cooled enclosure is devised. A dynamic mathematical model for a lithium bromide-water absorption chiller is developed to be used for deriving the optimal control algorithm. Finally, the results of simulation of the optimal control algorithm indicate that a net reduction of more than 30% in auxiliary energy is possible.","PeriodicalId":54672,"journal":{"name":"Optimal Control Applications & Methods","volume":"316 1","pages":"187-199"},"PeriodicalIF":2.0000,"publicationDate":"2007-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/OCA.4660090207","citationCount":"0","resultStr":"{\"title\":\"Optimal control of solar cooling systems\",\"authors\":\"M. Salman, S. Kotob, M. Juraidan\",\"doi\":\"10.1002/OCA.4660090207\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper a control algorithm that minimizes the auxiliary energy consumption in a typical solar cooling system while maintaining appropriate comfortable conditions in the cooled enclosure is devised. A dynamic mathematical model for a lithium bromide-water absorption chiller is developed to be used for deriving the optimal control algorithm. Finally, the results of simulation of the optimal control algorithm indicate that a net reduction of more than 30% in auxiliary energy is possible.\",\"PeriodicalId\":54672,\"journal\":{\"name\":\"Optimal Control Applications & Methods\",\"volume\":\"316 1\",\"pages\":\"187-199\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2007-10-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1002/OCA.4660090207\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Optimal Control Applications & Methods\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1002/OCA.4660090207\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"AUTOMATION & CONTROL SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Optimal Control Applications & Methods","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1002/OCA.4660090207","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
In this paper a control algorithm that minimizes the auxiliary energy consumption in a typical solar cooling system while maintaining appropriate comfortable conditions in the cooled enclosure is devised. A dynamic mathematical model for a lithium bromide-water absorption chiller is developed to be used for deriving the optimal control algorithm. Finally, the results of simulation of the optimal control algorithm indicate that a net reduction of more than 30% in auxiliary energy is possible.
期刊介绍：
Optimal Control Applications & Methods provides a forum for papers on the full range of optimal and optimization based control theory and related control design methods. The aim is to encourage new developments in control theory and design methodologies that will lead to real advances in control applications. Papers are also encouraged on the development, comparison and testing of computational algorithms for solving optimal control and optimization problems. The scope also includes papers on optimal estimation and filtering methods which have control related applications. Finally, it will provide a focus for interesting optimal control design studies and report real applications experience covering problems in implementation and robustness.
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