Critical Time Windows for Renewable Resource Complementarity Assessment
Abstract
This paper proposes a systematic framework to assess the complementarity of renewable resources over arbitrary geographical scopes and temporal scales which is particularly well-suited to exploit very large data sets of climatological data. The concept of critical time windows is introduced, and a spatio-temporal criticality indicator is proposed, consisting in a parametrised family of scalar indicators quantifying the complementarity between renewable resources in both space and time. The criticality indicator is leveraged to devise a family of optimisation problems identifying sets of locations with maximum complementarity under arbitrary geographical deployment constraints. The applicability of the framework is shown in a case study investigating the complementarity between the wind regimes in continental western Europe and southern Greenland, and its usefulness in a power system planning context is demonstrated. Besides showing that the occurrence of low wind power production events can be significantly reduced on a regional scale by exploiting diversity in local wind patterns, results highlight the fact that aggregating wind power production sites located on different continents may result in a lower occurrence of system-wide low wind power production events and indicate potential benefits of intercontinental electrical interconnections.
Cite
@article{arxiv.1812.02809,
title = {Critical Time Windows for Renewable Resource Complementarity Assessment},
author = {Mathias Berger and David Radu and Raphael Fonteneau and Robin Henry and Mevludin Glavic and Xavier Fettweis and Marc Le Du and Patrick Panciatici and Lucian Balea and Damien Ernst},
journal= {arXiv preprint arXiv:1812.02809},
year = {2018}
}