Optimal heterogeneity in a simplified highly renewable European electricity system. (15th August 2017)

• Record Type: Journal Article
• Authors: Eriksen, Emil H.; Schwenk-Nebbe, Leon J.; Tranberg, Bo; Brown, Tom; Greiner, Martin
• Is Part Of: Energy. Volume 133(2017)
• Page Start: 913
• Page End: 928
• Publication Date: 2017-08-15
• Subjects: Large-scale integration of renewables -- System design -- Renewable energy networks -- Wind power generation -- Solar power generation -- Levelised system cost of electricity -- Europe; Power resources -- Periodicals; Power (Mechanics) -- Periodicals; Energy consumption -- Periodicals; 333.7905
• DOI: 10.1016/j.energy.2017.05.170
• Languages: English
• ISSNs: 0360-5442

Abstract

Abstract: The resource quality and the temporal generation pattern of variable renewable energy sources vary significantly across Europe. In this paper spatial distributions of renewable assets are explored which exploit this heterogeneity to lower the total system costs for a high level of renewable electricity in Europe. Several intuitive heuristic algorithms, optimal portfolio theory and a local search algorithm are used to find optimal distributions of renewable generation capacities that minimise the total costs of backup, transmission and renewable capacity simultaneously. Using current cost projections, an optimal heterogeneous distribution favours onshore wind, particularly in countries bordering the North Sea, which results in average electricity costs that are up to 11% lower than for a homogeneous reference distribution of renewables proportional to each country's mean load. The reduction becomes even larger, namely 18%, once the transmission capacities are put to zero in the homogeneous reference distribution. Heuristic algorithms to distribute renewable capacity based on each country's wind and solar capacity factors are shown to provide a satisfactory approximation to fully optimised renewable distributions, while maintaining the benefits of transparency and comprehensibility. The sensitivities of the results to changing costs of solar generation and gas supply as well as to the possible cross-sectoral usage of unavoidable curtailment energy are also examined. Highlights: Derivation of optimal spatial distributions of wind and solar generation capacities. Application of several intuitive heuristic algorithms and optimal portfolio theory. Application of a local search algorithm to minimise the total infrastructure costs. Application to a simplified highly renewable European networked electricity system. Optimal heterogeneous distributions reduce average electricity costs by 11–18%.