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.

How do we evaluate the complementarity of solar and wind energy systems?

The complementarity of solar and wind energy systems is mostly evaluated using traditional statistical methods, such as correlation coefficient, variance, standard deviation, percentile ranking, and mean absolute error, to assess the complementarity of the resources in the review.

Does wind-solar complementarity occur in low-elevation plains?

Stronger wind-solar complementarity occurs in low-elevation plains. Studying the complementarity between wind and solar energy is crucial for optimizing the use of these renewable resources.

What is the complementary coefficient between wind power stations and photovoltaic stations?

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.).

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.

How to measure complementarity between wind speed and radiation?

The Kendall CC, Spearman CC, and fluctuation coefficient are combined to construct a comprehensive measure of the complementarity between wind speed and radiation, which provides a reliable tool for quantitatively evaluating the complementary characteristics of wind and solar energy. 2. A copula-based wind-solar complementarity coefficient R