研究目的
To analyze and optimize the photovoltaic-battery energy storage (PV-BES) system installed in a low-energy building in China, considering technical, economic, and environmental performances.
研究成果
The study concludes that the proposed energy management strategy and optimization methods significantly improve the performance of the PV-BES system in terms of energy supply, battery health, grid relief, and system economic-environmental impact. The multi-criterion optimization shows notable improvements in PV self-consumption, PV efficiency, and reductions in battery cycling aging and CO2 emissions.
研究不足
The study focuses on cycling aging of the battery tank and does not consider calendar aging. The grid integration is limited to setting grid export and import limits.
1：Experimental Design and Method Selection:
A novel energy management strategy considering the battery cycling aging, grid relief and local time-of-use pricing is proposed based on TRNSYS. Both single-criterion and multi-criterion optimizations are conducted.
2：Sample Selection and Data Sources:
The study focuses on a low-energy building in Shenzhen, China, with a total building area of
3：15 mList of Experimental Equipment and Materials:
6 Thin-film PV panels with a total rated capacity of
4：12 kW and a battery bank with a rated capacity of 6 kWh are used. Experimental Procedures and Operational Workflow:
The study involves modeling the PV-BES system, conducting optimizations, and performing sensitivity analyses.
5：Data Analysis Methods:
The study uses decision-making strategies including the weighted sum and minimum distance to the utopia point methods for optimization.
独家科研数据包，助您复现前沿成果，加速创新突破
获取完整内容
