LAPSE:2023.6965v1
Published Article
LAPSE:2023.6965v1
Designing Efficient Renewable Energy Portfolios for Optimal Coverage of European Power Demand under Transmission Constraints
Nikolaos S. Thomaidis, Alexios-Ioannis Moukas
February 24, 2023
Abstract
In this paper, we consider spatially and technologically diversified portfolios of renewable energy resources (RES) on a European scale. These portfolios efficiently allocate wind and solar production capacity with a view on matching load and restricting conventional generation capacity in each country. We investigate the composition of optimal portfolios taking into account the existing cross-border transmission capacity as well as future expansion scenarios. For the purposes of our analysis, we develop several multi-criteria optimization models and apply them to a rich dataset of daily electricity load, RES capacity factors, and transmission capacity constraints for 32 European countries during the period 2010−2015. By exploring different scenarios for the composition of efficient portfolios and cross-border network connectivity, we quantify the effectiveness of the resource aggregation strategy in terms of reducing the energy production deficit or surplus in each country. Empirical evidence shows that the portfolio perspective provides a solid basis for strategic planning on the future expansion of the European grid.
Keywords
aggregation, energy balancing, multi-objective optimization, Renewable and Sustainable Energy, transmission constraints
Suggested Citation
Thomaidis NS, Moukas AI. Designing Efficient Renewable Energy Portfolios for Optimal Coverage of European Power Demand under Transmission Constraints. (2023). LAPSE:2023.6965v1
Author Affiliations
Thomaidis NS: RiskGroupAUTH, Applied Economics Lab, School of Economics, Aristotle University of Thessaloniki, 541 24 Thessaloniki, Greece [ORCID]
Moukas AI: RiskGroupAUTH, Applied Economics Lab, School of Economics, Aristotle University of Thessaloniki, 541 24 Thessaloniki, Greece
Journal Name
Energies
Volume
15
Issue
24
First Page
9375
Year
2022
Publication Date
2022-12-11
ISSN
1996-1073
Version Comments
Original Submission
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PII: en15249375, Publication Type: Journal Article
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LAPSE:2023.6965v1
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https://doi.org/10.3390/en15249375
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