Dataset related to the publication "Turn down your thermostats – a contribution to overcoming the European gas crisis? The example of Germany"

General remarks

This dataset was produced and used for the publication

E. Sperber, U. Frey, V. Bertsch: Turn down your thermostats – a contribution to overcoming the European gas crisis? The example of Germany. Heliyon (2024), https://doi.org/10.1016/j.heliyon.2024.e23974

The dataset includes:

Results for space heating demand at building archetype level

Gas consumption results for space heating at building archetype level

Parameters underlying the reduced-order building model

ERA 5 weather data used in the model are publicly available at 10.24381/cds.adbb2d47. 

Data description

Results for space heating demand at building archetype level

The files titled "space_heating_demand_" followed by the relevant year show the calculated annual demand for space heating at the level of building archetypes, dependent on the temperature setpoint. The unit of measure is kWh/a. Results are available for the years 2010 and 2018 in relation to the weather in Frankfurt am Main, Germany.

Gas consumption results for space heating at building archetype level

The files titled "gas_consumption_" followed by the relevant year show the calculated annual gas consumption for space heating at the level of building archetypes, dependent on the temperature setpoint. The unit of measure is kWh/a. Results are available for the years 2010 and 2018 in relation to the weather in Frankfurt am Main, Germany.

Parameters underlying the reduced-order building model

The files start with "parameters", followed by the code of the building model (3R2C or 4R3C). The parameter files contain the following data:

Ria: Thermal resistance between interior and the ambient in °C/kW

Rie: Thermal resistance between interior and building envelope in °C/kW

Rea: Thermal resistance between building envelope and the ambient in °C/kW

Rhe: Thermal resistance between heaters and building envelope in °C/kW

Rhi: Thermal resistance between heaters and interior in °C/kW

Ci: Capacitance of interior in kWh/°C

Ce: Capacitance of building envelope in kWh/°C

Ch: Capacitance of heaters in kWh/°C

Ai: Effective window area for absorption of solar gains on internal air in m²

Tlimit: Heating limit temperature in °C

Please refer to the publication for more details on the building models and their parameters:

E. Sperber, U. Frey, V. Bertsch: Reduced-order models for assessing demand response with heat pumps – Insights from the German energy system. Energy and Buildings 223 (2020), https://doi.org/10.1016/j.enbuild.2020.110144