Yin Jun, Molini Annalisa, Porporato Amilcare
School of Hydrology and Water Resources, Nanjing University of Information Science and Technology, Nanjing, 210044, China.
Masdar Institute, Khalifa University of Science and Technology, PO Box 54224, Abu Dhabi, UAE.
Nat Commun. 2020 Sep 22;11(1):4781. doi: 10.1038/s41467-020-18602-6.
As photovoltaic power is expanding rapidly worldwide, it is imperative to assess its promise under future climate scenarios. While a great deal of research has been devoted to trends in mean solar radiation, less attention has been paid to its intermittent character, a key challenge when compounded with uncertainties related to climate variability. Using both satellite data and climate model outputs, we characterize solar radiation intermittency to assess future photovoltaic reliability. We find that the relation between the future power supply and long-term mean solar radiation trends is spatially heterogeneous, showing power reliability is more sensitive to the fluctuations of mean solar radiation in hot arid regions. Our results highlight how reliability analysis must account simultaneously for the mean and intermittency of solar inputs when assessing the impacts of climate change on photovoltaics.
随着光伏发电在全球范围内迅速扩张,评估其在未来气候情景下的前景势在必行。虽然大量研究致力于平均太阳辐射的趋势,但对其间歇性特征的关注较少,而当与气候变率相关的不确定性相结合时,这是一个关键挑战。利用卫星数据和气候模型输出,我们对太阳辐射间歇性进行了表征,以评估未来光伏发电的可靠性。我们发现,未来电力供应与长期平均太阳辐射趋势之间的关系在空间上是异质的,表明电力可靠性在炎热干旱地区对平均太阳辐射的波动更为敏感。我们的结果突出了在评估气候变化对光伏发电的影响时,可靠性分析必须同时考虑太阳输入的平均值和间歇性。