Day-Ahead Wholesale Market Electricity Prices with Weather and Fuel Price Variation

Dataset Description The dataset is part of the publication: https://doi.org/10.1016/j.enconman.2026.121554This dataset consists of two categories of files: 1. Day-Ahead Electricity Market Price Time Series The first part contains 360 simulated day-ahead wholesale electricity price time series for the years 2035, 2040, and 2045.The data is provided at hourly resolution for the following countries: Germany France Denmark Spain Switzerland All price series were generated using the agent-based electricity market model PowerACE. For each year and country, the dataset includes 360 distinct price trajectories, resulting from different combinations of: Fuel price assumptions, and Weather scenarios 2. Storage Profitability and Maximum CAPEX Results Using the market price trajectories, a dispatch optimization model was applied to determine the maximum allowable CAPEX of an energy storage system such that the net present value (NPV) equals zero. This calculation is performed for each combination of: Energy-to-power ratio, and Round-trip efficiency The assessment is conducted for two investor types: Risk-neutral investor (λ = 0) Risk-averse investor (λ = 1) The resulting files constitute the second part of the dataset.