Yabin Guo, Yuhua Wang, Yaxin Liu, Congcong Du, Yuduo Li
{"title":"利用粒子群优化技术优化二氧化碳热泵的排放压力控制","authors":"Yabin Guo, Yuhua Wang, Yaxin Liu, Congcong Du, Yuduo Li","doi":"10.1016/j.applthermaleng.2024.125008","DOIUrl":null,"url":null,"abstract":"<div><div>The provision of hot water constitutes a substantial fraction in the composition of household energy consumption. The deployment of carbon dioxide (CO<sub>2</sub>) heat pump technology for water heating shows notable benefits, which are critical for enhancing the energy performance of buildings. An effective control strategy for CO<sub>2</sub> heat pump systems is indispensable for stable operation, system safety, user comfort, and optimal energy conservation. However, the majority of existing control strategies primarily investigate system performance under steady-state conditions, thus limiting their practical applicability. Consequently, this study conducts a dynamic experiment of a circulating heating heat pump water heater system. The findings indicate that maintaining a discharge pressure of 8.5 MPa during the heating stage can sustain the system’s coefficient of performance (COP) close to 3. Conversely, increasing the discharge pressure beyond 9.0 MPa during the frequency reduction stage mitigates the COP’s decline. During the start-up stage, the compressor speed is increased from 50 to 60 rps to expedite the start-up process in the shortest possible time (120 s), while ensuring system safety. Based on the experimental results, a proportional–integral–derivative (PID) control strategy is introduced, integrating both electronic expansion valve and compressor regulation. This strategy enhances total heating capacity by 20 % and the overall COP by 12 %. Subsequently, the PID parameters are optimized using the Particle Swarm Optimization (PSO) algorithm to achieve precise control and minimize overshoot of target parameters. Experiments evidence the superiority of the optimized PSO-PID control strategy, with a stable stage deviation of less than 0.1 MPa.</div></div>","PeriodicalId":8201,"journal":{"name":"Applied Thermal Engineering","volume":"260 ","pages":"Article 125008"},"PeriodicalIF":6.1000,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optimizing discharge pressure control in carbon dioxide heat pumps using particle swarm optimization\",\"authors\":\"Yabin Guo, Yuhua Wang, Yaxin Liu, Congcong Du, Yuduo Li\",\"doi\":\"10.1016/j.applthermaleng.2024.125008\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The provision of hot water constitutes a substantial fraction in the composition of household energy consumption. The deployment of carbon dioxide (CO<sub>2</sub>) heat pump technology for water heating shows notable benefits, which are critical for enhancing the energy performance of buildings. An effective control strategy for CO<sub>2</sub> heat pump systems is indispensable for stable operation, system safety, user comfort, and optimal energy conservation. However, the majority of existing control strategies primarily investigate system performance under steady-state conditions, thus limiting their practical applicability. Consequently, this study conducts a dynamic experiment of a circulating heating heat pump water heater system. The findings indicate that maintaining a discharge pressure of 8.5 MPa during the heating stage can sustain the system’s coefficient of performance (COP) close to 3. Conversely, increasing the discharge pressure beyond 9.0 MPa during the frequency reduction stage mitigates the COP’s decline. During the start-up stage, the compressor speed is increased from 50 to 60 rps to expedite the start-up process in the shortest possible time (120 s), while ensuring system safety. Based on the experimental results, a proportional–integral–derivative (PID) control strategy is introduced, integrating both electronic expansion valve and compressor regulation. This strategy enhances total heating capacity by 20 % and the overall COP by 12 %. Subsequently, the PID parameters are optimized using the Particle Swarm Optimization (PSO) algorithm to achieve precise control and minimize overshoot of target parameters. Experiments evidence the superiority of the optimized PSO-PID control strategy, with a stable stage deviation of less than 0.1 MPa.</div></div>\",\"PeriodicalId\":8201,\"journal\":{\"name\":\"Applied Thermal Engineering\",\"volume\":\"260 \",\"pages\":\"Article 125008\"},\"PeriodicalIF\":6.1000,\"publicationDate\":\"2024-11-20\",\"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/S1359431124026760\",\"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/S1359431124026760","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}
Optimizing discharge pressure control in carbon dioxide heat pumps using particle swarm optimization
The provision of hot water constitutes a substantial fraction in the composition of household energy consumption. The deployment of carbon dioxide (CO2) heat pump technology for water heating shows notable benefits, which are critical for enhancing the energy performance of buildings. An effective control strategy for CO2 heat pump systems is indispensable for stable operation, system safety, user comfort, and optimal energy conservation. However, the majority of existing control strategies primarily investigate system performance under steady-state conditions, thus limiting their practical applicability. Consequently, this study conducts a dynamic experiment of a circulating heating heat pump water heater system. The findings indicate that maintaining a discharge pressure of 8.5 MPa during the heating stage can sustain the system’s coefficient of performance (COP) close to 3. Conversely, increasing the discharge pressure beyond 9.0 MPa during the frequency reduction stage mitigates the COP’s decline. During the start-up stage, the compressor speed is increased from 50 to 60 rps to expedite the start-up process in the shortest possible time (120 s), while ensuring system safety. Based on the experimental results, a proportional–integral–derivative (PID) control strategy is introduced, integrating both electronic expansion valve and compressor regulation. This strategy enhances total heating capacity by 20 % and the overall COP by 12 %. Subsequently, the PID parameters are optimized using the Particle Swarm Optimization (PSO) algorithm to achieve precise control and minimize overshoot of target parameters. Experiments evidence the superiority of the optimized PSO-PID control strategy, with a stable stage deviation of less than 0.1 MPa.
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.