Open AccessEnergy storage capacity configuration of building integrated photovoltaic‐phase change material system considering demand response
Author(s) -
Sun Liang,
Li Jiawen,
Chen Lidong,
Xi Jiaming,
Li Benxin
Publication year - 2021
Publication title -
iet energy systems integration
Language(s) - English
Resource type - Journals
ISSN - 2516-8401
DOI - 10.1049/esi2.12013
Subject(s) - photovoltaic system , demand response , peak demand , energy storage , electricity , automotive engineering , computer science , grid , environmental science , process engineering , reliability engineering , power (physics) , engineering , electrical engineering , mathematics , physics , geometry , quantum mechanics
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.