TY - JOUR
T1 - Wind-solar technological, spatial and temporal complementarities in Europe
T2 - A portfolio approach
AU - López Prol, Javier
AU - de Llano Paz, Fernando
AU - Calvo-Silvosa, Anxo
AU - Pfenninger, Stefan
AU - Staffell, Iain
PY - 2024
Y1 - 2024
N2 - Climate change and geopolitical risks call for the rapid transformation of electricity systems worldwide, with Europe at the forefront. Wind and solar are the lowest cost, lowest risk, and cleanest energy sources, but their variability poses integration challenges. Combining both technologies and integrating regions with dissimilar generation patterns optimizes the trade-off between maximizing energy output and minimizing its variability, which respectively give the lowest levelized cost and lowest integration cost. We apply the Markowitz mean-variance framework to a rich multi-decade dataset of wind and solar productivity to quantify the potential benefits of spatially integration of renewables across European countries at hourly, daily and monthly timescales. We find that optimal cross-country coordination of wind and solar capacities across Europe's integrated electricity system increases capacity factor by 22% while reducing hourly variability by 26%. We show limited benefits to solar integration due to consistent output profiles across Europe. Greater wind integration yields larger benefits due to the diversity of regional weather patterns. This framework shows the importance of considering renewable projects not in isolation, but as interconnected parts of a pan-continental system. Our results can guide policymakers towards strategic energy plans that reduce system-wide costs of renewable electricity, accelerating the clean energy transition.
AB - Climate change and geopolitical risks call for the rapid transformation of electricity systems worldwide, with Europe at the forefront. Wind and solar are the lowest cost, lowest risk, and cleanest energy sources, but their variability poses integration challenges. Combining both technologies and integrating regions with dissimilar generation patterns optimizes the trade-off between maximizing energy output and minimizing its variability, which respectively give the lowest levelized cost and lowest integration cost. We apply the Markowitz mean-variance framework to a rich multi-decade dataset of wind and solar productivity to quantify the potential benefits of spatially integration of renewables across European countries at hourly, daily and monthly timescales. We find that optimal cross-country coordination of wind and solar capacities across Europe's integrated electricity system increases capacity factor by 22% while reducing hourly variability by 26%. We show limited benefits to solar integration due to consistent output profiles across Europe. Greater wind integration yields larger benefits due to the diversity of regional weather patterns. This framework shows the importance of considering renewable projects not in isolation, but as interconnected parts of a pan-continental system. Our results can guide policymakers towards strategic energy plans that reduce system-wide costs of renewable electricity, accelerating the clean energy transition.
KW - Decarbonization
KW - Energy transition
KW - Integration costs
KW - Integration of electricity markets
KW - Inttermitency
KW - LCOE
KW - Solar
KW - Variability
KW - Variable renewable energy
KW - Wind
UR - http://www.scopus.com/inward/record.url?scp=85184033991&partnerID=8YFLogxK
U2 - 10.1016/j.energy.2024.130348
DO - 10.1016/j.energy.2024.130348
M3 - Article
AN - SCOPUS:85184033991
SN - 0360-5442
VL - 292
JO - Energy
JF - Energy
M1 - 130348
ER -