Lin Zinan, Zhou Qi, Wang Zhe, Wang Ce, Bookhart Davis Boyd, Leung-Shea Marcus
Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Hong Kong SAR, China.
Sustainability/Net-Zero Office, The Hong Kong University of Science and Technology, Hong Kong SAR, China.
Sci Data. 2025 Jan 14;12(1):63. doi: 10.1038/s41597-025-04397-y.
This paper presents an open-source dataset intended to enhance the analysis and optimization of photovoltaic (PV) power generation in urban environments, serving as a valuable resource for various applications in solar energy research and development. The dataset comprises measured PV power generation data and corresponding on-site weather data gathered from 60 grid-connected rooftop PV stations in Hong Kong over a three-year period (2021-2023). The PV power generation data was collected at 5-minute intervals at the inverter-level. The meteorological data was collected at 1-minute intervals from an on-site weather station. The metadata was represented using the Brick schema, which simplifies data comprehension and the development of smart analytics applications. This paper provides a detailed description on the site specifications, data collection method, data records, and data validation. This dataset can be used in various applications - PV generation benchmarking, PV degradation analysis, PV fault detection, solar radiation and PV power generation forecasting, and the simulation and design of PV systems.
本文介绍了一个开源数据集，旨在加强对城市环境中光伏发电的分析和优化，作为太阳能研发中各种应用的宝贵资源。该数据集包括在三年期间（2021 - 2023年）从香港60个并网屋顶光伏电站收集的实测光伏发电数据和相应的现场气象数据。光伏发电数据在逆变器级别以5分钟的间隔收集。气象数据从现场气象站以1分钟的间隔收集。元数据使用Brick模式表示，这简化了数据理解和智能分析应用程序的开发。本文详细描述了站点规格、数据收集方法、数据记录和数据验证。该数据集可用于各种应用——光伏发电基准测试、光伏退化分析、光伏故障检测、太阳辐射和光伏发电预测以及光伏系统的模拟和设计。
