Published December 23, 2024
| Version v1
Dataset
Open
Building-Level Heat Demand Time Series Derived from Open Data: Case Study Dataset
Description
General Description:
This dataset provides building-level heat demand time series derived from open data, including two specific use cases:
-
Case Study (Puertollano, Spain):
Contained in the file"heat_demand_data_CaseStudy.csv", this dataset includes simulated heat demand profiles for a large number of buildings within the city of Puertollano. -
Validation Study (Madrid, Spain):
Contained in the file"data_validation_Madrid.csv", this dataset includes data used for validation purposes based on a selected quarter in Madrid.
Data Description
Every line contains the complete dataset for one building. For the public version the house numbers, shape, and centroid were removed.
Column Names
| Column name | Description |
|---|---|
| Shape | geoshape of the building |
| Centroid | GPS-location of the building centroid |
| MinHeight | minimum heigt of the building |
| MaxHeight | maximumg height of the building |
| NumOfObj | number of dwellings in the building |
| StreetName | name of the street |
| HouseNr | house number of the building |
| BuildingType | type of building (e.g. single building, apartment bloc |
| ResidentialArea | residentail area in the building in m² |
| OtherArea | non-residential area in the building in m² |
| YearOfConstr | year of construction |
| NumOfFloors | number of floors |
| YearCat | year category according to TABULA Webtool |
| TypeCat | type category according to TABULA Webtool |
| SpecResHD | specific residential heating demand in kWh/m²/year |
| ResHD | total residential heating demand per year in kWh/year |
| ThermalCond | generalized thermal conductance |
| ThermalStorageCap | generalized thermal storage capacity |
| MaxHeatPower | maximum heating power for that building |
| HeatingTimeSeries_i | hourly heating demand for the hour i = {1,...,8760} |
Files
data_validation_Madrid.csv
Files
(485.5 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:747c526656d11d7fb359da82b462feb8
|
25.2 kB | Preview Download |
|
md5:92375465e4f3fc59901180958d34ba52
|
485.5 MB | Preview Download |