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Hourly electricity import prices

Package version
Description Modeled hourly electricity prices in EUR2010/MWh for Swiss neighboring countries for the years 2025, 2030, 2035 and 2040 as output of Swissmod electricity market model. These can be regarded as import prices for Switzerland.
Notes Model run based on the Sustainable Transition scenario of ENTSO-E TYNDP 2018. This means that demand, generation capacity, fuel prices and carbon price are assumed to develop according to the TYNDP 2018 of the European Network of Transmission System Operators for Electricity (ENTSO-E).
Last changes Not documented.
Download Data package (zip)
jasm-hourly_electricity_prices-2020-06-03.zip (5 MB)

Individual data files (csv, xlsx)
electricity_import_prices.xlsx (4 MB)
electricity_import_prices.csv (2 MB)
co2_price_pathways.xlsx (14 kB)
co2_price_pathways.csv (357 B)
time_mappings.xlsx (240 kB)
time_mappings.csv (263 kB)
Meta data README.md
datapackage.json
Sources Schlecht I. and Weigt H., Swissmod - A model of the Swiss electricity market, WWZ Discussion Paper, 2014/04
ENTSO-E (2018), TYNDP 2018 Scenario Report: Main Report, 2018
Contact Ingmar Schlecht
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Field documentation

electricity_import_prices.xlsx (electricity import prices.xlsx)

Field Name Type (Format) Description
hour string Hour of the year (from h1 to h8760)
scenario number CO2 price scenario (either reference or decarb). The assumed CO2 prices for these two pathways can be found in the separate file co2_price_pathways.xlsx.
target_year number Target year (out of 2025, 2030, 2035, 2040), i.e. the TYNDP years. The input data assumptions for 2035 were taken from a linear interpolation of the TYNDP data for 2030 and 2040.
country string Two letter country-code for the four neighboring countries of Switzerland.
price number Modelled electricity wholesale price for the hour for the respective country in EUR/MWh. These can be assumed as import prices for Switzerland.

electricity_import_prices.csv (electricity import prices.csv)

Field Name Type (Format) Description
hour string Hour of the year (from h1 to h8760)
scenario number CO2 price scenario (either reference or decarb). The assumed CO2 prices for these two pathways can be found in the separate file co2_price_pathways.xlsx.
target_year number Target year (out of 2025, 2030, 2035, 2040), i.e. the TYNDP years. The input data assumptions for 2035 were taken from a linear interpolation of the TYNDP data for 2030 and 2040.
country string Two letter country-code for the four neighboring countries of Switzerland.
price number Modelled electricity wholesale price for the hour for the respective country in EUR/MWh. These can be assumed as import prices for Switzerland.

co2_price_pathways.xlsx (co2 price pathways.xlsx)

Field Name Type (Format) Description
scenario string Scenario (reference or decarb). This is the name the electricity_import_prices file uses to reference this CO2 price pathway.
based_on number Source which the CO2 price is based on.
target_year number Target year (out of 2025, 2030, 2035, 2040).

co2_price_pathways.csv (co2 price pathways.csv)

Field Name Type (Format) Description
scenario string Scenario (reference or decarb). This is the name the electricity_import_prices.xlsx file uses to reference this CO2 price pathway.
based_on number Source which the CO2 price is based on.
target_year number Target year (out of 2025, 2030, 2035, 2040).

time_mappings.xlsx (time mappings.xlsx)

Field Name Type (Format) Description
hour string Name of the hour as used in the electricity_import_prices.xlsx file.
day number Day (d1 to d365)
month number Month (jan to dec)
season number Season (summer or winter)
weekday number Weekday (Monday to Sunday)

time_mappings.csv (time mappings.csv)

Field Name Type (Format) Description
hour string Name of the hour as used in the electricity_import_prices.xlsx file.
day number Day (d1 to d365)
month number Month (jan to dec)
season number Season (summer or winter)
weekday number Weekday (Monday to Sunday)
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