Can wind-solar-hydro complementarity improve China's future power system stability?
Wind-solar-hydro complementary potential shows great temporal and spatial variation. Renewable complementarity can improve China's future power system stability. In the context of carbon neutrality, renewable energy, especially wind power, solar PV and hydropower, will become the most important power sources in the future low-carbon power system.
How do we evaluate the complementarity of wind and solar resources?
Previous studies have primarily used the Pearson correlation coefficient (CC) and similar metrics to evaluate the complementarity of wind and solar resources. For instance, Che et al. directly calculated Pearson CC to analyze the complementarity between wind and solar power and between wind and hydropower.
Are wind power and solar PV power potential complementary?
The assessment results of temporal volatility of wind power and solar PV power potential in different regions of China show that they can be well complementary at different time scales.
How is wind-photovoltaic complementarity modeled?
Joint wind and solar distributions were modeled with the Copula function. A coefficient quantifying wind-photovoltaic complementarity was established. Spatial and temporal patterns of wind-solar complementarity were investigated. Stronger wind-solar complementarity occurs in low-elevation plains.
Does wind power and solar PV have a decarbonization pathway?
Since wind power and solar PV are specifically intermittent and space-heterogeneity, an assessment of renewable energy potential considering the variability of wind power and solar PV with high temporal resolution in different regions will facilitate more accurate identification of the decarbonization pathway of power system.
Is there a complementarity between wind and solar energy?
Studying the complementarity between wind and solar energy is crucial for optimizing the use of these renewable resources. Multi-energy compensation systems need to consider multiple metrics, and current research relies on the correlation of single metrics to study this complementarity.
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