Assessing temporal complementarity between three variable energy sources through correlation and compromise programming
Date
2020-02-01
2020-02-01
Author
Canales, Fausto
Jurasz, Jakub
Beluco, Alexandre
Kies, Alexander
Metadata
Show full item record
Show full item record
Abstract
Renewable energies are deployed worldwide to mitigate climate change and push power systems towards sustainability. However, the weather-dependent nature of renewable energy sources often hinders their integration to national grids. Combining different sources to profit from beneficial complementarity has often been proposed as a partial solution to overcome these issues. This paper introduces a novel method for quantifying total temporal energetic complementarity between three different variable renewable sources, based on well-known mathematical techniques: correlation coefficients and compromise programming. It has the major advantage of allowing the simultaneous assessment of partial and total complementarity. The method is employed to study the complementarity of wind, solar and hydro resources on different temporal scales in a region of Poland. Results show that timescale selection has a determinant impact on the total temporal complementarity.
Collections