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

Stelzer, Jonathan ORCID iD icon 1
1 Institut für Industriebetriebslehre und Industrielle Produktion (IIP), Karlsruher Institut für Technologie (KIT)

Abstract:

Dataset Description
This 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.


Originalveröffentlichung
DOI: 10.5281/zenodo.17791669
Zugehörige Institution(en) am KIT Institut für Industriebetriebslehre und Industrielle Produktion (IIP)
Publikationstyp Forschungsdaten
Publikationsjahr 2025
Identifikator KITopen-ID: 1000193095
Lizenz Creative Commons Namensnennung 4.0 International
Art der Forschungsdaten Dataset
Nachgewiesen in OpenAlex
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