在炎热半干旱气候条件下实施的光伏电站数据。
Data of a PV plant implemented in hot semi-arid climate.
作者信息
Id Omar Nour-Eddine, Boukhattem Lahcen, Oudrhiri Hassani Fahd, Bennouna Amin, Oukennou Aziz
机构信息
LMPEQ, National School of Applied Sciences, Cadi Ayyad University, 40000 Marrakech, Morocco.
EnR2E laboratory, National Center for Studies and Research on Water and Energy (CNEREE), Cadi Ayyad University, 40000 Marrakech, Morocco.
出版信息
Data Brief. 2021 Jan 14;34:106756. doi: 10.1016/j.dib.2021.106756. eCollection 2021 Feb.
This paper presents data collected from a 5.94 kWp grid connected photovoltaic (PV) plant implemented in hot semi-arid climate of Safi region, Morocco. The data include electrical power production and PV module temperature of three PV technologies: mono-crystalline (m-Si), poly-crystalline (p-Si), and amorphous (a-Si); they also include plane of array solar irradiance and ambient temperature. Solar irradiance was measured with calibrated reference cells, inverters provided the produced powers, and the temperatures were obtained by Pt100 probes. The data were measured each 5 min and were remotely accessible through internet. They were preprocessed to eliminate unrepresentative records and were used for the development of simple and accurate models for PV power forecasting [1]. These data are typical for hot semi-arid climate and may be reused for regional forecast of PV power as well as solar energy and PV module temperature predictions.
本文介绍了在摩洛哥萨菲地区炎热半干旱气候条件下实施的一个5.94千瓦峰值并网光伏电站收集的数据。数据包括三种光伏技术的电力生产和光伏组件温度：单晶硅（m-Si）、多晶硅（p-Si）和非晶硅（a-Si）；还包括阵列平面太阳辐照度和环境温度。太阳辐照度用校准过的参考电池测量，逆变器提供发电量，温度由铂电阻温度计探头获取。数据每5分钟测量一次，可通过互联网远程访问。对数据进行了预处理以消除无代表性的记录，并用于开发简单准确的光伏发电功率预测模型[1]。这些数据是炎热半干旱气候的典型数据，可重新用于光伏发电功率的区域预测以及太阳能和光伏组件温度预测。
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