data_IFM_RDFM.zip

Beschreibung

This dataset contains several useful components for Swiss Electricity system modeling:

1. High-voltage Swiss grid: 2019 snapshot of the high-voltage (>150kV) grid composed of :

• Nodes: names, voltage, position.
• Lines: ends nodes, resistance, power capacity.
• Transformers: ends nodes, power capacity, resistance, tap ratio.

2. Hydropower topology : Representative description of Swiss reservoirs and plants (2019) composed of:

• Plants: Lower reservoir, Upper reservoir, pump/turbine, debit, power capacity.
• Reservoirs: Volume, altitude, position, canton.

3. Inflows into all the reservoirs: hourly time series post-processed from PREVAH model outputs from 2009 to 2019.

4. Wind production per node: COSMO-1 data processed and scaled to match SFOE annual production.

5. Solar irradiance maps projected onto tilted surfaces: hourly time series for 35° and 65° tilts, azimuth 180°. (same method as Frischholz, Y. (2025))

6. Processed ERA5 (historical), ECMWF SEAS5 (seasonal forecast) and ECMWF TIGGE (short-term forecast):

• ERA5 Land: For inflow forecast model: historical runoff, snow depth, temperature and total precipitation per catchment (hourly, 2009-2019). For residual demand forecast model: historical temperature, u-v wind, ssrd per country (CH, AT, DE, FR, IT, hourly 2015-2019)
• ECMWF SEAS5: For inflow forecast model: same variables as ERA5 (yearly forecast starting from every 1st day of every month in 2019). For residual demand forecast model: same variables as ERA5 (yearly forecast starting from every 1st day of every month in 2019).
• ECMWF TIGGE: For inflow forecast model: same variables as ERA5 (two weeks forecast starting from every 1st day of every week in 2019). For residual demand forecast model: same variables as ERA5 (two weeks forecast starting from every 1st day of every week in 2019).

More details can be found on README.txt.