{"title":"基于trnsys的热响应试验参数估计方法","authors":"Xuedan Zhang, Yiqiang Jiang, Yang Yao, S. Deng","doi":"10.18178/IJOEE.4.1.28-31","DOIUrl":null,"url":null,"abstract":"Thermal Response Test (TRT) has become a very popular method of estimating ground thermal properties for ground-coupled heat pump systems. This technique relies on the fact that required best-fit parameters can be identified by inverse modeling of heat transfer equations with the help of optimization algorithms. In this paper, a TRNSYS-based model that can automatically realize TRT parameter estimation is proposed and validated. Besides, the method is applied to a case study, and different optimization algorithms are employed and analyzed. Finally, the results calculated by the TRNSYS-based method and that of conventional methods are compared. It shows that the deviations of the estimated parameters between different models are obvious, which should be paid great attention by researchers and engineers. ","PeriodicalId":13951,"journal":{"name":"International Journal of Electrical Energy","volume":"83 1","pages":"28-31"},"PeriodicalIF":0.0000,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"A TRNSYS-Based Thermal Response Test Parameter Estimation Method\",\"authors\":\"Xuedan Zhang, Yiqiang Jiang, Yang Yao, S. Deng\",\"doi\":\"10.18178/IJOEE.4.1.28-31\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Thermal Response Test (TRT) has become a very popular method of estimating ground thermal properties for ground-coupled heat pump systems. This technique relies on the fact that required best-fit parameters can be identified by inverse modeling of heat transfer equations with the help of optimization algorithms. In this paper, a TRNSYS-based model that can automatically realize TRT parameter estimation is proposed and validated. Besides, the method is applied to a case study, and different optimization algorithms are employed and analyzed. Finally, the results calculated by the TRNSYS-based method and that of conventional methods are compared. It shows that the deviations of the estimated parameters between different models are obvious, which should be paid great attention by researchers and engineers. \",\"PeriodicalId\":13951,\"journal\":{\"name\":\"International Journal of Electrical Energy\",\"volume\":\"83 1\",\"pages\":\"28-31\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Electrical Energy\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.18178/IJOEE.4.1.28-31\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Electrical Energy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18178/IJOEE.4.1.28-31","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A TRNSYS-Based Thermal Response Test Parameter Estimation Method
Thermal Response Test (TRT) has become a very popular method of estimating ground thermal properties for ground-coupled heat pump systems. This technique relies on the fact that required best-fit parameters can be identified by inverse modeling of heat transfer equations with the help of optimization algorithms. In this paper, a TRNSYS-based model that can automatically realize TRT parameter estimation is proposed and validated. Besides, the method is applied to a case study, and different optimization algorithms are employed and analyzed. Finally, the results calculated by the TRNSYS-based method and that of conventional methods are compared. It shows that the deviations of the estimated parameters between different models are obvious, which should be paid great attention by researchers and engineers.