Data-based analysis of the optimal direction of a photovoltaic system for remote sensor nodes for a case study in Germany

Na-Na Shen, Jian Wu, Gabriela Molinar, W. Stork
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Abstract

Solar based self-sufficient smart sensor nodes are broadly used for remote monitoring purpose especially for applications, where the assessment for human is hostile. For the power supply of these smart sensor nodes, solar panels and battery are usually used. In order to collect the solar energy more efficiently, the solar penal of the sensor node should be directed optimal. In this paper a study at Schnarrenberg with the coordinate [48.8°, 9.2°] in Germany has been done, to determine the optimal tilt and orientation angle, which maximize the received solar energy at an inclination in the worse months, nevertheless without weakening of the solar energy of other months. Finally, with the calculated average monthly solar energy on this inclination, the minimum value was taken to determine the peak sun hours to size of the solar panel. Our approach is evaluated by applying the hourly solar global and diffuse irradiance on the horizontal surface from the open metadata of the German Weather Service, between 2013 and 2017. The evaluation results can be used for distributing sensor nodes along high voltage overhead lines in the framework of PrognoNetz research project.
基于数据的光伏系统遥感节点最佳方向分析——以德国为例
太阳能自给式智能传感器节点广泛应用于远程监控,特别是在对人类不利的应用场合。这些智能传感器节点的供电通常采用太阳能电池板和电池。为了更有效地收集太阳能,传感器节点的太阳能分配必须是最优的。本文在德国Schnarrenberg进行了坐标[48.8°,9.2°]的研究,确定了最优的倾角和取向角,在倾角较差的月份最大限度地接收到太阳能,而不削弱其他月份的太阳能。最后,计算出在此倾角上的月平均太阳能,取最小值来确定太阳能电池板的峰值太阳小时数。我们的方法是通过应用2013年至2017年德国气象局开放元数据中每小时的太阳全球和漫射辐照度在水平面上进行评估的。评估结果可用于PrognoNetz研究项目框架下沿高压架空线路的传感器节点分布。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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