Song Aoye, Zhou Yuekuan
Sustainable Energy and Environment Thrust, Function Hub, The Hong Kong University of Science and Technology (Guangzhou), Nansha, Guangzhou, 511400, Guangdong, China.
Division of Emerging Interdisciplinary Areas, The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong SAR, China.
Commun Eng. 2025 Jan 30;4(1):14. doi: 10.1038/s44172-024-00339-5.
Driven by sustainable development goals and carbon neutrality worldwide, demands for both renewable energy and storage systems are constantly increasing. However, the lack of an appropriate approach without considering renewable intermittence and demand stochasticity will lead to capacity oversizing or undersizing. In this study, an optimal design approach is proposed for integrated photovoltaic-battery-consumer energy systems in the form of a m-kWp-kWh relationship in both centralized and distributed formats. Superiorities of the proposed matching degree approach are compared with the traditional uniformity approach, in photovoltaic capacity, battery capacity, net present value and lifecycle carbon intensity. Results showed that the proposed method is superior to the traditional approach with higher net present value and lower carbon intensity. Furthermore, the proposed method can be scaled and applied to guide the design of photovoltaic-battery-consumer energy systems in different climate zones, promoting sustainable development and carbon neutrality globally.
在全球可持续发展目标和碳中和的推动下,对可再生能源和储能系统的需求不断增加。然而,缺乏一种适当的方法来考虑可再生能源的间歇性和需求的随机性,将导致容量过大或过小。在本研究中,针对集中式和分布式形式的兆瓦级光伏-电池-用户能源系统,提出了一种以兆瓦峰值-千瓦时关系形式的优化设计方法。将所提出的匹配度方法在光伏容量、电池容量、净现值和生命周期碳强度方面的优势与传统的均匀性方法进行了比较。结果表明,所提出的方法优于传统方法,具有更高的净现值和更低的碳强度。此外,所提出的方法可以进行扩展并应用于指导不同气候区的光伏-电池-用户能源系统设计,促进全球可持续发展和碳中和。