Meteorologically‐Informed Spatial Planning of European PV Deployment to Reduce Multiday Generation Variability. Issue 7 (19th July 2022)

• Record Type: Journal Article
• Authors: Mühlemann, Dirk; Folini, Doris; Pfenninger, Stefan; Wild, Martin; Wohland, Jan
• Is Part Of: Earth's future. Volume 10:Issue 7(2022)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2022-07-19
• Subjects: photovoltaics -- variability -- weather regimes -- Europe; Environmental sciences -- Periodicals; Environmental sciences; Periodicals; 550
• DOI: 10.1029/2022EF002673
• Languages: English
• ISSNs: 2328-4277

Abstract

Abstract: Renewable generation variability over multiple days is a key challenge in decarbonizing the European power system. Weather regimes are one way to quantify this variability, but so far, their applications to energy research have focused on wind power generation in winter. However, the projected growth of solar photovoltaic (PV) capacity implies that its absolute variability across the continent will grow substantially. Here we combine weather regimes based on ERA5 reanalysis data with country‐specific capacity factors to investigate multiday PV generation variability in Europe. With current installed capacity (131 GW), total PV production in Europe (52.3 GW) varies by 0.9 GW on average, with a maximum change of 3.0 GW, upon transition from one weather regime to another. Using projected PV capacity for 2050 (1.94 TW), variability would rise to 13.9 and 43.8 GW. We present optimized spatial distributions of capacity additions in three scenarios that substantially reduce variability by up to 40%. One of them ascertains a large local PV production, thereby minimizing the need for long‐range power transmission while still reducing variability by about 30%, highlighting that optimized siting and local generation can be reconciled. Our results emphasize the value of leveraging climate information in decarbonizing power systems. Key Points: Year‐round weather regime classification with linked photovoltaic (PV) capacity factors per country in Europe European multiday PV variability could be as high as 43.8 GW in 2050 Optimized distribution of PV systems in Europe reduces multiday variability up to 40%