Input data

static_input.xlsx

This files contains time-invariant input data organized in spreadsheet format.

Spreadsheets in static_input.xlsx

sheet

content

LICENSE

Information on licensing.

spatial

Data on the underlying grid infrastructure and static bounds for net transfer capacities limiting electricity exchange.

technologies

Techno-economic assumptions on available generation technologies.

storage

Techno-economic assumptions on available storage technologies.

reservoir

Techno-economic assumptions on available reservoir technologies.

DSM

Techno-economic assumptions on available demand side management technologies.

EV

Techno-economic assumptions on available electric vehicles.

prosumage

Techno-economic assumptions on available prosumage technologies.

reserves

Techno-economic assumptions on available reserve technologies.

heat

Techno-economic assumptions on available heat technologies.

2dim

Country-specific system configuration of the minimum renewable share, available carbon budget, share of prosumagers among total load, and the number of electric vehicles.

1dim

System-wide configuration of the minimum renewable share, available carbon budget, minimum self-generation shares for prosumagers, and variable costs of the slack generator which catches infeasibilies.

py

Configures data import.

Sources

List of references.

timeseries_input.xlsx

This files contains hourly time-variant input data organized in spreadsheet format.

Spreadsheets in timeseries_input.xlsx

sheet

content

basic

Basic data required for each run, such as demand and various renewable availablity profiles.

EV

Profiles for demand for driving from electric vehicles, battery capacity etc. disaggregated for different vehicle types.

reserves_provision

Profiles for reserve demand.

reserves_activation

Profiles for reserve activation.

heat

Profiles for heat demand disaggregated for different building types.

heat_dhw

Profiles for DHW demand disaggregated for different building types.

NETS

Heat demand for NETS.

heat_pump

Temperature assumptions.

py

Configures data import.

iteration_data.xlsx

Detailed explanations will be added soon.

For now, check the time series iteration section on how to configure the iteration_data.xlsx file.