Transferring energy signatures across space and time to assess their viability for rapid urban energy demand estimation

This data archive provides simulated hourly heating and cooling building energy demand for current and future RCP85 climate for 8 representative cities for a single-family and small office building archetype.

The data forms part of the following publication:

Eggimann S.; Fiorentini M. (2024): Transferring energy signatures across space and time to assess their viability for rapid urban energy demand estimation. Energy and Buildings. https://doi.org/10.1016/j.enbuild.2024.114348

Attributes

ID_origin: City ID of source city

ID_destination: City ID of target city

Signature_Cooling: Cooling demand determined by the signature approach

Model_Cooling: Cooling demand determined by EnergyPlus

Absolute_Diff: Absolute difference

Percentage_Diff: Relative difference

Daily_Tout: Average daily dry-bulb ambient temperature

Instruction

To obtain the simulation and energy signature-based results, it is required to filter the dataset and set the source ID to the destination ID. The city IDs are provided in the file city_table_ID.

Source

The archetypes are provided by the Office of Energy Efficiency & Renewable Energy: https://www.energycodes.gov/prototype-building-models