Energy storage capacity configuration of building integrated photovoltaic‐phase change material system considering demand response. Issue 3 (14th April 2021)

• Record Type: Journal Article
• Authors: Sun, Liang; Li, Jiawen; Chen, Lidong; Xi, Jiaming; Li, Benxin
• Other Names: Jiang Tao guestEditor.; Bai Linquan guestEditor.; Mu Yunfei guestEditor.; Venayagamoorthy Kumar guestEditor.; Zhang Yingchen guestEditor.; Teng Fei guestEditor.; Chen Peiyuan guestEditor.; Zhong Haiwang guestEditor.; Yao Wei guestEditor.; Wan Can guestEditor.
• Is Part Of: IET energy systems integration. Volume 3:Issue 3(2021)
• Page Start: 263
• Page End: 272
• Publication Date: 2021-04-14
• Subjects: Power resources -- Periodicals; Energy conservation -- Periodicals; Power resources; Energy conservation; Periodicals; 333.79
• DOI: 10.1049/esi2.12013
• Languages: English
• ISSNs: 2516-8401

Abstract

Abstract: With the increasing building energy consumption, building integrated photovoltaic has emerged. However, this method has problems such as low photovoltaic absorption rate and large load peak–valley difference. For this reason, the authors have constructed a building integrated photovoltaic‐phase change material system considering the demand response. Under the demand response at the time of use, the system was powered by building photovoltaic power generation. The thermostatically controlled load demand inside buildings was satisfied jointly by the phase change energy storage and the air conditioning. The system can run offline or connected to the grid through surplus electricity. When electricity is insufficient, the system can purchase it from the grid. The system dispatching strategy is also given. Based on the principles of minimising the daily cost of system operation, maximising the photovoltaic absorption rate, and minimising the peak–valley difference, a multi‐objective optimisation model is established, and the particle swarm algorithm is used to perform the capacity configuration on the energy storage system. Finally, case analysis was conducted to verify that the scheme is able to reduce the system operating cost by over 50%. In addition, it can greatly increase the photovoltaic absorption rate and reduce the peak–valley difference to achieve peak load shifting. The scheme has significant economic and technical benefits.