z-logo
open-access-imgOpen Access
Synergistic optimization of renewable energy installations through evolution strategy
Author(s) -
Jérôme Dujardin,
Annelen Kahl,
Michael Lehning
Publication year - 2021
Publication title -
environmental research letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.37
H-Index - 124
ISSN - 1748-9326
DOI - 10.1088/1748-9326/abfc75
Subject(s) - renewable energy , grid , electricity , computer science , electricity generation , boundary (topology) , environmental economics , renewable resource , scale (ratio) , electricity system , power (physics) , engineering , economics , electrical engineering , mathematics , mathematical analysis , physics , geometry , quantum mechanics
With large parts of the world moving toward renewable energies, there is an urgent need to organize this large-scale transition effectively. This paper presents a new methodology to guide the planning and siting of renewable electricity generation for countries or larger geographical regions. Its flexible approach accounts for the specific boundary conditions, constraints and available resources of the region of interest and enables solutions that optimize the interplay between the various types of generation. Evolution strategy permits a simultaneous optimization of the placement and the share of renewable electricity generation technologies that are to be added to a system, while most efficiently combining the new with the existing electricity generation and respecting the constraints of the electrical grid. Using Switzerland as case study, we demonstrate the method’s ability to devise national installation scenarios that are efficient, realistic with respect to land use and grid infrastructure and reduce significantly the need for seasonal storage. We show how the spatio-temporal variability of weather-driven electricity generation can be exploited to benefit the electrical system as a whole.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here