Potential of decentralized heat pumps for buildings in Germany
Authors/Creators
-
1.
Fraunhofer Institute for Systems and Innovation Research
- 2. Fraunhofer Insitute for Systems and Innovation Research
Description
Introduction
A consistent dataset of estimated maximum achievable heating capacities with decentralized heat pumps that exploit the available environmental heat sources of air or ground at building level, for both residential and non-residential buildings. The analysis for air source heat pumps accounts for the space availability around the building and noise immissions due to the heat pump considering the noise immission guideline limits. The analysis for ground source heat pumps takes into account property area available around the building and the average heat exchange rate with the ground.
Technical info
| id_building | unique identifier of the building |
| id_region_nuts3 | NUTS 3 region number in the project |
| hp_site | location of the heat pump in WKT-format, EPSG:3035 |
| feasibility_distance | limiting distance to the immission point in neighboring building |
| id_building_location | settlement type that the building is found in |
| max_HP_capacity_35 | maximum capacity of standard air-source heat pump in kW under 35 dB(A) noise emission limit |
| max_HP_capacity_quiet_35 | maximum capacity of quiet air-source heat pump in kW under 35 dB(A) noise emission limit |
| max_HP_capacity_40 | maximum capacity of standard air-source heat pump in kW under 40 dB(A) noise emission limit |
| max_HP_capacity_quiet_40 | maximum capacity of quiet air-source heat pump in kW under 40 dB(A) noise emission limit |
| max_HP_capacity_45 | maximum capacity of standard air-source heat pump in kW under 45 dB(A) noise emission limit |
| max_HP_capacity_quiet_45 | maximum capacity of quiet air-source heat pump in kW under 45 dB(A) noise emission limit |
| footprint* | footprint polygon of building in WKT-format, EPSG:3035 |
| land_footprint | footprint polygon of building's assigned property in WKT-format, EPSG:3035 |
| number_of_probes | number of ground probes possible to fit in the whole property |
| probable_usable_area_share | share of the property area probably usable for ground heat exchangers |
| probable_usable_area | property area probably usable for ground heat exchangers |
| probable_probe_count | probable number of ground probes possible to fit in the usable part of the property |
| max_HP_capacity_straight | maximum capacity of ground-source heat pump in kW when using straight horizontal ground collectors |
| max_HP_capacity_slinky_coil | maximum capacity of ground-source heat pump in kW when using slinky coil horizontal ground collectors |
| max_HP_capacity_helical_coil | maximum capacity of ground-source heat pump in kW when using helical coil horizontal ground collectors |
| max_HP_capacity_probe_25m | maximum capacity of ground-source heat pump in kW when using vertical ground probes of 25 m depth |
| max_HP_capacity_probe_50m | maximum capacity of ground-source heat pump in kW when using vertical ground probes of 50 m depth |
| max_HP_capacity_probe_75m | maximum capacity of ground-source heat pump in kW when using vertical ground probes of 75 m depth |
| max_HP_capacity_probe_100m | maximum capacity of ground-source heat pump in kW when using vertical ground probes of 100 m depth |
| height_m* |
value: height of the building in [m], source: source of the height data, lineage: height assignment method |
| position** | location of building centroid in WKT-format, EPSG:3035 |
| construction_year** |
value: construction year, source: source of the construction year data, lineage: construction year assignment method |
| size_class** |
value: size class of the building, source: source of the size class data, lineage: size class assignment method |
| refurbishment_state** |
value: refurbishment state of the building, source: source of the refurbishment state data, lineage: refurbishment state assignment method |
| tabula_type** |
value: TABULA type of the building, source: source of the TABULA data, lineage: TABULA type assignment method |
| sector |
res: residential nres: non-residential |
* as published by Forschungszentrum Jülich in ETHOS.BUILDA: Building Footprint and Height Dataset Germany
** as published by Forschungszentrum Jülich in ETHOS.BUILDA: Residential Building TABULA Archetype Dataset Germany
Files
9020412_summary.csv
Files
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