Biospheric Theory and Modelling Group, Max Planck Institute for Biogeochemistry, Jena, Germany.
PLoS One. 2019 Feb 6;14(2):e0211028. doi: 10.1371/journal.pone.0211028. eCollection 2019.
The planning of the energy transition from fossil fuels to renewables requires estimates for how much electricity wind turbines can generate from the prevailing atmospheric conditions. Here, we estimate monthly ideal wind energy generation from datasets of wind speeds, air density and installed wind turbines in Germany and compare these to reported actual yields. Both yields were used in a statistical model to identify and quantify factors that reduced actual compared to ideal yields. The installed capacity within the region had no significant influence. Turbine age and park size resulted in significant yield reductions. Predicted yields increased from 9.1 TWh/a in 2000 to 58.9 TWh/a in 2014 resulting from an increase in installed capacity from 5.7 GW to 37.6 GW, which agrees very well with reported estimates for Germany. The age effect, which includes turbine aging and possibly other external effects, lowered yields from 3.6 to 6.7% from 2000 to 2014. The effect of park size decreased annual yields by 1.9% throughout this period. However, actual monthly yields represent on average only 73.7% of the ideal yields, with unknown causes. We conclude that the combination of ideal yields predicted from wind conditions with observed yields is suitable to derive realistic estimates of wind energy generation as well as realistic resource potentials.
从化石燃料向可再生能源过渡的规划需要估计在当前大气条件下风力涡轮机能产生多少电量。在这里,我们根据德国风速、空气密度和已安装风力涡轮机的数据来估计每月的理想风能发电量,并将其与报告的实际产量进行比较。这两种产量都被用于一个统计模型中,以确定和量化导致实际产量低于理想产量的因素。该地区的装机容量没有显著影响。涡轮机的年龄和风电场的规模导致了产量的显著降低。由于装机容量从 5.7GW 增加到 37.6GW,预测的产量从 2000 年的 9.1TWh/a 增加到 2014 年的 58.9TWh/a,这与德国报告的估计非常吻合。年龄效应(包括涡轮机老化和可能的其他外部影响)使 2000 年至 2014 年的产量从 3.6%降低到 6.7%。在此期间,风电场规模的影响使年产量平均降低了 1.9%。然而,实际的月度产量平均仅为理想产量的 73.7%,其原因尚不清楚。我们的结论是,将理想产量与实际产量结合起来,是一种适合于衍生出风力发电实际估计值和实际资源潜力的方法。