Scenario matrix: 100 combinations of wind and solar PV in a low-emissions sector-coupled European energy system

Scenario matrix built with the open sector-coupled energy model PyPSA-Eur The data published in this repository explores the technology mix at 100 different combinations of wind and solar PV penetration levels, ranging from low (10%) to high (100%). It includes the technology mix in the electricity and heating supply, as well as the technologies used for producing e-fuels. The data is intended to be used in low resolution models that need to parameterize integration impacts of high renewable shares. For this reason, the data also contain extreme cases for the European energy mix which serves as a measure of the penalty (i.e., total system cost increase) associated with the distance to the near-optimal space. The method and results are explained in the paper "First steps towards bridging integrated assessment modeling and high-resolution energy system models: a scenario matrix for a low-emissions sector-coupled European energy system" (https://10.1088/2515-7620/adf60d). Variable Unit Share % of supply Capacity GW Curtailment % of annual electricity demand Market value Eur / MWh Storage price smoothing (SPS) Eur / MW Transmission price smoothing (TPS) Eur / MW System cost Billion Eur Energy prices Eur / MWh Co2 price (dual of CO2 limit) Eur / tCO2 Co2 sequestration price (dual of CO2 sequestration limit) Eur / tCO2 Wind deployment price (dual of wind deployment constraint) Eur / MWh Solar PV deployment price (dual of solar PV deployment constraint) Eur / MWh Indices: Index level 1: Solar PV deployment level (0.1 - 1.0), as a fraction of the total electricity demand of the transitioned energy system. Index level 2: Wind deployment level (0.1 - 1.0), as a fraction of the total electricity demand of the transitioned energy system. Notes In this version (Version v2), the following corrections have been made: Certain heating generation technologies had missing values by mistake Wrong values were listed for shares of electricity generation of variable renewable energy (VRE) sources. In addition to this, the jupyter notebook “scenario_matrix.ipynb” has been added, which includes all calculations behind all metrics listed in the scenario matrices located in “main/” and “sensitivity/transmission_limit/”. Similarly, the jupyter notebook “sensitivity.ipynb” has been added, which includes all calculations for the metrics located in “sensitivity/co2_limit/”. For further exploration of the PyPSA-Eur scenarios, find all network files at this open repository: https://anon.erda.au.dk/cgi-sid/ls.py?share_id=ESLUn4EMQn&current_dir=.&flags=f