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Christian Braun
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66, rue de Luxembourg, 4221 EschsurAlzette, Luxembourg
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Phone: 00352 425991 6608
This installation serves different WebService types (WMS, WFS) for testing
Input data at disaggregated level (address level) subset (address_clip)
A vector point layer containing input data at address level, used to predict the natural gas consumption of dwellings. The following attributes should be attached: ID for postcode area; average natural gas consumption of dwellings in cube meters; average floor surface of dwellings in square meters.
Bospolder clipping (RO_clip_bospolder)
Data set defining area of interest for different calculations.
PV potential in the Lijnbaan neighbourhood (pv_potential)
Contiguous roof top areas suitable for PV installation. Includes costs and generation figures for three different polymers: Monocrystalline, Multicrystalline and Amorphous
Lijnbaan clipping (RO_clip_lijnbaan)
Data set defining area of interest for different calculations.
Energy savings of residential buildings (energy_savings_res_buildings)
Total energy savings of residential buildings for space heating and domestic hot water (MWh).
Training features for Bospolder area (RO_training_bospolder)
This a test data set of training areas used for roof classification in Rotterdam for Bospolder area
PV potential (multi) (kWh/a) (pv_potential_multi_elec)
Input data at aggregated level (postcode area level) subset (post_code_clip_4)
A vector polygon dataset containing data at an aggregated level used as input to run the model for natural gas consumption. Polygons represent the areas where consumption data are available (e.g. postcode areas). The following attributes should be attached: ID for the area; average natural gas consumption of dwellings in cube meters; average floor surface of dwellings in square meters; percentage of dwellings belonging to a certain typology (26 different typologies foreseen).
Input data at aggregated level (postcode area level) subset (post_code_clip_3)
A vector polygon dataset containing data at an aggregated level used as input to run the model for natural gas consumption. Polygons represent the areas where consumption data are available (e.g. postcode areas). The following attributes should be attached: ID for the area; average natural gas consumption of dwellings in cube meters; average floor surface of dwellings in square meters; percentage of dwellings belonging to a certain typology (26 different typologies foreseen).
Roof patches (roof_patches)
Continuous roof top areas suitable for PV or green roof installation.
Cloud cover for whole Rotterdam city (RO_octa_poly)
Data set defining cloudiness (in octa) factor. Values on a daily 30 year average basis for the entire city.
Building footprints subset (RO_building_footprints_mini)
This a test data set of building footprints in Rotterdam for a small test area.
Energy savings potential (energy_savings_sliders)
Buildings suitable for renovation measures.
Tiny test region clipping (RO_clip_mini)
Data set defining area of interest for different calculations.
Training features for Rozenburg area (RO_training_rozenburg)
This a test data set of training areas used for roof classification in Rotterdam for Rozenburg area
Training features subset (RO_training_areas_mini)
This a test data set of training areas used for roof classification in Rotterdam for a small test area
Energy savings  total at block (kWh/m²a) (energy_savings)
Input data at aggregated level (postcode area level) subset (post_code_clip)
A vector polygon dataset containing data at an aggregated level used as input to run the model for natural gas consumption. Polygons represent the areas where consumption data are available (e.g. postcode areas). The following attributes should be attached: ID for the area; average natural gas consumption of dwellings in cube meters; average floor surface of dwellings in square meters; percentage of dwellings belonging to a certain typology (26 different typologies foreseen).
Linke factor (RO_linke_poly)
Data set of Linke factor. Values on a monthly basis for the entire city.
Ratio diffuse/global irradiation (RO_ratio_poly)
Data set defining Diffuse/Global radiation factor. Values on a monthly basis for the entire city
Training features (RO_training_areas)
This a test data set of training areas used for roof classification in Rotterdam for Lijnbaan area
All Rotterdam buildings (BAG_PANDEN_GUID_vlakken)
Block level used to show results (target level) (block)
Map of blocks.
Block level used to show results (target level) subset (block_clip_3)
Map of blocks.
Rozenburg clipping (RO_clip_rozenburg)
Data set defining area of interest for different calculations.
PV costs (mono) (Euro/kWh) (pv_potential_mono_c_e)
Input data at disaggregated level (address level) (address)
A vector point layer containing input data at address level, used to predict the natural gas consumption of dwellings. The following attributes should be attached: ID for postcode area; average natural gas consumption of dwellings in cube meters; average floor surface of dwellings in square meters.
Building footprints (GML) (RO_buildings_gml)
Data set of building footprints in Rotterdam city area for the slider demo
PV costs (amorph) (Euro/kWh) (pv_potential_amo_c_e)
Block level used to show results (target level) subset (block_clip)
Map of blocks.
Input data at disaggregated level (address level) subset (address_clip_4)
A vector point layer containing input data at address level, used to predict the natural gas consumption of dwellings. The following attributes should be attached: ID for postcode area; average natural gas consumption of dwellings in cube meters; average floor surface of dwellings in square meters.
PV costs (multi) (Euro/kWh) (pv_potential_multi_ce)
Building ages at post code (pc5_input_data_elec)
Bolspolder building footprints (bospolder_building_footprints)
Data set of building footprints in Rotterdam Bospolder area
Space heating demand at block (kWh/m²a) (space_heating_demand)
All Rotterdam building footprints (BAG_PANDEN_GUID_vlakken_nonfilled)
Electricity demand at block (kWh/m²a) (electricity_demand)
Energy savings potential  sample (energy_savings_sample)
Buildings suitable for renovation measures.
Input data at aggregated level (postcode area level) (post_code)
A vector polygon dataset containing data at an aggregated level used as input to run the model for natural gas consumption. Polygons represent the areas where consumption data are available (e.g. postcode areas). The following attributes should be attached: ID for the area; average natural gas consumption of dwellings in cube meters; average floor surface of dwellings in square meters; percentage of dwellings belonging to a certain typology (26 different typologies foreseen).
Input data at disaggregated level (address level) subset (address_clip_3)
A vector point layer containing input data at address level, used to predict the natural gas consumption of dwellings. The following attributes should be attached: ID for postcode area; average natural gas consumption of dwellings in cube meters; average floor surface of dwellings in square meters.
PV potential (amorph) (kWh/a) (pv_potential_amo_elec)
Building footprints (RO_building_footprints)
Data set of building footprints in Rotterdam city area
PV potential (mono) (kWh/a) (pv_potential_mono_elec)
Energy consumption of residential buildings (energy_consumption_res_buildings)
Total energy consumption of residential buildings for space heating and domestic hot water (MWh).
Cost of energy savings [Euro/MWh] (cost_energy_savings)
Cost of energy savings [Euro/MWh].
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