A copula-based wind-solar complementarity coefficient: Case study of two clean energy bases, China

Jinyu Meng, Zengchuan Dong and Shengnan Zhu

Energy, 2025, vol. 318, issue C

Abstract: 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. A measure of wind-solar complementarity coefficient R is proposed in this paper. Utilizes the copula function to settle the Spearman and Kendall correlation coefficients combined with the fluctuation coefficient to measure the wind-solar complementarity from multiple indicators. Taking China's two clean energy bases as a case study, the wind and solar energy complementarity was analyzed. The results show that most regions exhibit good complementarity. Spatially, the complementarity coefficients of most areas are generally between 0.4 and 0.6. Analysis of digital elevation models indicates that high complementarity coefficients are primarily found in basins or plains at lower elevations. This information is valuable for effectively utilizing wind and solar resources in the region and provides a solid foundation for energy planning and management.

Keywords: Wind energy; Solar energy; Wind-solar complementarity; Copula; Temporal-spatial complementarity (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544225005468
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:318:y:2025:i:c:s0360544225005468

DOI: 10.1016/j.energy.2025.134904

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().