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A high-resolution three-year dataset supporting rooftop photovoltaics (PV) generation analytics

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Mendeley Data2024-04-14 更新2024-06-28 收录
下载链接:
https://datadryad.org/stash/dataset/doi:10.5061/dryad.m37pvmd99
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The data was collected from 60 grid-connected rooftop PV stations and 1 weather station. These stations are located within the Hong Kong University of Science and Technology campus. The university is located in the rural coastal area of Sai Kung District, Hong Kong (22.3363°N 114.2634°E) and covers an area of 60 hectares. For PV stations without panel level optimizers (comprising 23 stations, accounting for 38.3% of the total), the data was individually measured and transferred by the inverter. For PV stations equipped with panel level optimizers (comprising 37 stations, accounting for 61.7% of the total), the PV generation data was measured and transferred by both the inverter and the panel level optimizer. Meteorological data is collected from the weather station located on the eastern side of the campus. The station comprises a 10-meter-high automatic weather tower and an outdoor plinth area that housing 6 samplers that measure meteorological data at 1-minute intervals. The collected PV generation data was transferred to wireless gateway using dedicated Wi-Fi. Meteorological data is initially sensed, transmitted, and stored in the data logger using RS232 or RS485 communication protocols, and subsequently transferred to the server via LAN cables. All streams of PV generation and meteorological data were extracted and consolidated into a centralized database.

本数据集采集自香港科技大学校园内的60台并网式屋顶光伏电站及1座气象站。该校位于香港西贡区沿海乡村地带,地理坐标为北纬22.3363°、东经114.2634°,占地面积60公顷。 针对未配置组件级优化器(panel level optimizers)的光伏电站(共计23台,占总电站数的38.3%),其发电数据由逆变器(inverter)单独采集并传输;对于配置了组件级优化器的光伏电站(共计37台,占总电站数的61.7%),其光伏发电数据同时由逆变器与组件级优化器采集并传输。 气象数据采集自校园东侧的气象站,该站由一座10米高的自动气象塔与一处户外基座组成,基座内安装有6台采样传感器,以1分钟为间隔采集气象参数。光伏发电数据通过专用Wi-Fi传输至无线网关。气象数据首先由传感器感知,经RS232或RS485通信协议传输并存储至数据记录仪(data logger),随后通过局域网(LAN)线缆上传至服务器。所有光伏发电与气象数据流均被提取并整合至集中式数据库中。
创建时间:
2024-04-10
搜集汇总
数据集介绍
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背景与挑战
背景概述
该数据集包含香港科技大学校园内60个屋顶光伏电站的高分辨率发电数据和气象数据,时间跨度为三年(2021-2023),发电数据和气象数据分别以5分钟和1分钟间隔采集。数据集采用Brick schema表示,支持光伏发电的多种分析应用,如基准测试、退化分析和故障检测等。
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