Renewable Generation Data for European Energy System Analysis

Abstract

In the process of decarbonization, the global energy mix is shifting from fossil fuels to renewables. To study decarbonization pathways, large-scale energy system models are utilized. These models require accurate data on renewable generation to develop their full potential. Using different data can lead to conflicting results and policy advice. In this work, we compare several datasets that are commonly used to study the transition towards highly renewable European power system. We find significant differences between these datasets and cost-difference of about 10% result in the different energy mix. We conclude that much more attention must be paid to the large uncertainties of the input data.

arXiv comment36 pages, 10 figures

References in corpus (12)

• A review on the complementarity of renewable energy sources: concept, metrics, application and future research directions
• Synergies of sector coupling and transmission reinforcement in a cost-optimised, highly renewable European energy system
• Response to 'Burden of proof: A comprehensive review of the feasibility of 100% renewable-electricity systems'
• The Near-Optimal Feasible Space of a Renewable Power System Model
• Decreasing market value of variable renewables can be avoided by policy action
• The Impact of Climate Change on a Cost-Optimal Highly Renewable European Electricity Network
• Modeling all alternative solutions for highly renewable energy systems
• The Sensitivity of Power System Expansion Models
• Climate change impacts on large-scale electricity system design decisions for the 21st Century
• Impact of climate change on backup energy and storage needs in wind-dominated power systems in Europe
• Evaluation of Temporal Complexity Reduction Techniques Applied to Storage Expansion Planning in Power System Models
• Towards a global dynamic wind atlas: A multi-country validation of wind power simulation from MERRA-2 and ERA-5 reanalyses bias-corrected with the Global Wind Atlas

Cited by in corpus (2)

• Seasonal prediction of renewable energy generation in Europe based on four teleconnection indices
• Carbon Leakage in a European Power System with Inhomogeneous Carbon Prices