Global atlas of solar and wind resources temporal complementarity
• Solar-wind complementarity is mapped for land between latitudes 66° S and 66° N. • Complementarity is examined regarding PV panel inclination and storage capacity.
Utilizing the clustering outcomes, we computed the complementary coefficient R between the wind speed of wind power stations and the radiation of photovoltaic stations, resulting in the following complementary coefficient matrix (Fig. 17.).
Typically, wind power and photovoltaic stations are situated at different locations, necessitating the study and analysis of wind speed-radiation complementarity across various regions. This study focuses on wind power stations and photovoltaic stations in Qinghai and Gansu provinces to explore their complementarity.
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.
• Solar-wind complementarity is mapped for land between latitudes 66° S and 66° N. • Complementarity is examined regarding PV panel inclination and storage capacity. The concept of renewable energy sources complementarity has attracted the attention of researchers across the globe over recent years.
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