Thomas Kemmler, Rainer Maier, C. Widmann, B. Thomas
{"title":"使用热能储存提供灵活性的热泵优化控制与快速控制原型和SG准备标准","authors":"Thomas Kemmler, Rainer Maier, C. Widmann, B. Thomas","doi":"10.2991/ires-19.2019.16","DOIUrl":null,"url":null,"abstract":"The coupling of the heat and power sector is required as supply and demand in the German electricity mix drift further and further apart with a high percentage of renewable energy. Heat pumps in combination with thermal energy storage systems can be a useful way to couple the heat and power sectors. This paper presents a hardware-in-the-loop test bench for experimental investigation of optimized control strategies for heat pumps. 24-hour experiments are carried out to test whether the heat pump is able to serve optimized schedules generated by a MATLAB algorithm. The results show that the heat pump is capable of following the generated schedules, and the maximum deviation of the operational time between schedule and experiment is only 3%. Additionally, the system can serve the demand for space heating and DHW at any time. Keywords—Heat pump, Energy management, SG ready, Thermal energy storage, Control strategy, Optimization, hardware-in-the-loop","PeriodicalId":424726,"journal":{"name":"Proceedings of the 13th International Renewable Energy Storage Conference 2019 (IRES 2019)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Using a Thermal Energy Storage to Provide Flexibility for Heat Pump Optimization Control with Rapid Control Prototyping and SG Ready Standard\",\"authors\":\"Thomas Kemmler, Rainer Maier, C. Widmann, B. Thomas\",\"doi\":\"10.2991/ires-19.2019.16\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The coupling of the heat and power sector is required as supply and demand in the German electricity mix drift further and further apart with a high percentage of renewable energy. Heat pumps in combination with thermal energy storage systems can be a useful way to couple the heat and power sectors. This paper presents a hardware-in-the-loop test bench for experimental investigation of optimized control strategies for heat pumps. 24-hour experiments are carried out to test whether the heat pump is able to serve optimized schedules generated by a MATLAB algorithm. The results show that the heat pump is capable of following the generated schedules, and the maximum deviation of the operational time between schedule and experiment is only 3%. Additionally, the system can serve the demand for space heating and DHW at any time. Keywords—Heat pump, Energy management, SG ready, Thermal energy storage, Control strategy, Optimization, hardware-in-the-loop\",\"PeriodicalId\":424726,\"journal\":{\"name\":\"Proceedings of the 13th International Renewable Energy Storage Conference 2019 (IRES 2019)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 13th International Renewable Energy Storage Conference 2019 (IRES 2019)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2991/ires-19.2019.16\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 13th International Renewable Energy Storage Conference 2019 (IRES 2019)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2991/ires-19.2019.16","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Using a Thermal Energy Storage to Provide Flexibility for Heat Pump Optimization Control with Rapid Control Prototyping and SG Ready Standard
The coupling of the heat and power sector is required as supply and demand in the German electricity mix drift further and further apart with a high percentage of renewable energy. Heat pumps in combination with thermal energy storage systems can be a useful way to couple the heat and power sectors. This paper presents a hardware-in-the-loop test bench for experimental investigation of optimized control strategies for heat pumps. 24-hour experiments are carried out to test whether the heat pump is able to serve optimized schedules generated by a MATLAB algorithm. The results show that the heat pump is capable of following the generated schedules, and the maximum deviation of the operational time between schedule and experiment is only 3%. Additionally, the system can serve the demand for space heating and DHW at any time. Keywords—Heat pump, Energy management, SG ready, Thermal energy storage, Control strategy, Optimization, hardware-in-the-loop