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 |
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md5:747c526656d11d7fb359da82b462feb8
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25.2 kB | Preview Download |
md5:92375465e4f3fc59901180958d34ba52
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485.5 MB | Preview Download |