Rushikesh PadsalaProject 1 Visualization of heating demand
SimStadt Simulation data
The simulation data of the district Stuttgart Stöckach has been generated by the Simulation platform SimStadt developed at HFT Stuttgart.
GeoJSON Data: https://transfer.hft-stuttgart.de/gitlab/coors/visualization/-/tree/master/Exercise%201/building_data.js
OR
GeoJSON Data: https://ugl.hft-stuttgart.de/leaflet-stoeckach-heatdemand/building_data.json
CSV Data (with same attributes as GeoJSON): https://transfer.hft-stuttgart.de/gitlab/coors/visualization/-/blob/master/Exercise%201/building_data.csv
- Heating demand per month [kWh] (January_He, February_H, March_Heat, April_Heat, May_Heatin, June_Heati, July_Heati, August_Hea, September_ , October_He, November_H, December_H)
- Heating demand per year [kWh/a]: summarized monthly values [kWh]
- Heated area [m²] (Heated_area)
- Heated volume [m³] (Heated_vol)
- Year of construction (Year_of_co)
- Photovoltaic Potential [MWh/a] (PV_potenti)
- Specific Heating demand [
kWh/m^2*a] will be used to calculate Energy efficiency class (Specific_s)
Energy efficiency classes
kWh/m^2*a |
Energy efficiency class |
|---|---|
| 0-25 | A+ |
| 26-50 | A |
| 51-75 | B |
| 76-100 | C |
| 101-125 | D |
| 126-150 | E |
| 151-200 | F |
| 201-250 | G |
| >251 | H |
Color Mapping 
All the above examples are best viewed in Chrome browser. Also please allow CORS in Chrome browser. CORS plugin is downloadable from here. You must install and enable it.
