This paper presents a classical estimation problem for calculating the energy generated by photovoltaic solar energy systems in the Netherlands, on a daily, annual and regional basis. We identify two data sources to construct our methodology: pvoutput, an online portal with solar energy yield measurements, and modelled irradiance data, from the Royal Netherlands Meteorological Institute. Combining these, we obtain probability functions of observing energy yields, given the irradiance, which we then apply to our PV systems database, allowing us to calculate daily and annual solar energy yields. We examine the variation in our daily and annual estimates as a result of taking different subsets of pvoutput systems with certain specifications such as orientation, tilt and inverter to PV capacity ratio. Hence we obtain specific annual energy yields in the range of 877-946 kWh/kWp and 838-899 kWh/kWp for 2016 and 2017 respectively. The current method used at Statistics Netherlands assumes this to be 875 kWh/kWp, meaning the yields were underestimated and overestimated for 2016 and 2017 respectively. Finally, we translate our national estimates into solar energy yields per municipality. This research demonstrates that an irradiance based measure of solar energy generation is necessary to obtain more accurate energy yields on both a national and regional level.
翻译:本文提出了荷兰光伏太阳能系统每天、每年和区域计算能源生成的典型估算问题。我们从荷兰皇家气象研究所(皇家气象研究所)找到两种数据来源来构建我们的方法:pvoutput,一个具有太阳能产量测量的在线门户,以及模拟辐照数据。结合这些数据,我们获得了观测能源产量的概率功能,因为我们随后对光伏发电系统数据库应用了辐照效应,从而使我们能够计算每天和每年的太阳能产量。我们研究了由于采用定向、倾斜和向光电容量比率等某些规格的不同子集的蒸发系统而导致的每日和年度估算值差异。因此,我们获得了2016年和2017年的877-946 kWh/kWp和838-899 kWh/kWp之间的具体年度能源产量。荷兰统计局目前使用的方法假定这一数值为875 kWh/kWp, 也就是说,2016年和2017年的产量被低估和高估。最后,我们将我们的国家能源产量估计数转化为每个城市的太阳能产量,这是一项必要的区域能源产量指标。