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Electricity price results generated with FanSi for Case Study 2 of Man0EUvRE

Authors: Arvesen, Anders;

Electricity price results generated with FanSi for Case Study 2 of Man0EUvRE

Abstract

This repository contains electricity price results generated with the stochastic power market model FanSi for Case Study 2 of the Man0EUvRE project. The analysis is based on a representation of the European power system in 2050, derived from the EU EnVis-2060 energy transition scenario NECP Essentials. The results are computed using historical weather variability for the years 1991–2020. Each year is represented as a stylized 364-day year (52 weeks with a fixed weekday structure), yielding 2912 time steps per year at 3-hour resolution (52 × 7 × 8). The data are provided in two alternative formats:(i) IAMC format, where all data are stored in a single file with a Subannual dimension following a year–week–day convention (e.g., 1991-01-01 denotes day 1 of week 1 in 1991), and where the column “2050” reports values for the modelled 2050 power system(ii) 2D tabular format, where each file contains a matrix with 2912 rows (time steps within a year) and columns corresponding to the years 1991–2020. Building on the baseline configuration of the NECP Essentials scenario[1], the analysis explores stylized expansions of four flexibility options in Norway: enhanced hydropower flexibility (+HydroFlex), elastic demand (+ElasticDemand), time-shiftable demand (+TimeShiftDemand), and strengthened cross-border transmission (+TransFlex). The Base scenario corresponds to a direct implementation of NECP Essentials in FanSi. Further details on data and methods are provided in ref. [2]. Additional data may be made available upon reasonable request. References [1] K. Löffler et al., ‘The European Energy Vision 2060 (EU EnVis-2060): Scenario Parametrization’. Zenodo, Version 1.0.1, Sep. 06, 2024. doi: 10.5281/zenodo.13734444. [2] D. E. Aliabadi et al., 'Man0EUvRE – Deliverable 3.1, Executive Summaries of Case Studies'. Zenodo, Version 1.0, Dec. 19, 2025, doi: 10.5281/zenodo.17986243. Funding This research was funded by CETPartnership, the European Partnership under Joint Call 2022 for research proposals, co-funded by the European Commission (GA N°101069750) and with the funding organisations listed on the CETPartnership website.

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