TradeRES scenario database
Creators
Contributors
Description
Dataset for TradeRES scenarios
The TradeRES project created four central scenarios of the future European power system. “Scenario” within TradeRES refers to a structured input data collection that encapsulates certain properties of the underlying future energy system. The four scenarios, abbreviated S1, S2, S3 and S4, are carbon-free by assumption and vary in terms of the flexibility of the demand-side, the variability of the supply-side and the degree of sector-coupling. In addition, TradeRES created a scenario S0 to represent an intermediate energy system on the path to decarbonisation. This scenario S0 with a 60% non-thermal renewables penetration, is considered in some case studies as a departing scenario for reference. It considers exogenous electricity generation capacities based on 2030 national energy and climate plans.
In addition, TradeRES created scenarios for additional analysis where, for example, the weighted average cost of capital (WACC) of technologies was varied.
The common data on the scenarios are given in the supplementary data file D2.1_TradeRES_Scenario_data_v3.xlsx. The table below describes the data items that are included in the data file. The report D2.1_TradeRES_A-database-of-TradeRES-scenarios_Ed3.pdf describes in more detail the scenarios and data files.
Description |
|
Emission factors |
Kg of CO2 equivalents emitted from burning 1 MWh of fuel |
Commodity prices |
Price assumptions for commodities |
New technology data |
Projected cost and technical parameters of new energy conversion (production, consumption, storage) technologies |
Wind potential |
Wind (offshore and onshore) potential in European countries |
Solar potential |
Solar (different PV categories and CSP) potential in European countries |
Transmission capacities |
Electricity and hydrogen transmission capacities in the scenarios |
Initial technology capacities |
“Initial” electricity generation capacities in the scenarios |
Aggregated demand |
Assumptions on aggregated electricity demand by sector and bidding zone |
Demand time series |
Load consumption time series |
Renewable time series |
Capacity factor time series, hydro inflow time series |
Building data |
Main assumptions used in the model for heating and cooling of buildings |
EV data |
Main assumptions for the private passenger vehicles and their electrification |
Files
D2.1_TradeRES_A-database-of-TradeRES-scenarios_Ed3.pdf
Files
(39.3 MB)
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Additional details
Related works
- Is new version of
- Dataset: 10.5281/zenodo.5507208 (DOI)
Funding
Software
- Repository URL
- https://github.com/TradeRES/TradeRES-Backbone-demo