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# UrbanHeatPro | ||
Bottom-up model for the simulation of heat demand profiles of urban areas | ||
A. Molar-Cruz @ TUM ENS | ||
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Features | ||
• UrbanHeatPro is a python-based bottom-up model for the simulation of heat demand profiles of urban areas. | ||
• It considers both the space heating demand and hot water demand. So far, the hot water demand is calculated only for residential buildings. | ||
• Characteristic values for the building stock, building thermal properties, building set-temperature and annual hot water consumption are based on statistics for Germany. | ||
• DSM strategies for the reduction of heat demand such as building renovation, heat load reduction, night-set back operation, etc, are easily implemented. | ||
• The size of the study area can start from one building. Buildings can be input as a shapefile or as an excel table. | ||
• By default, the model operates on an hourly time steps. However, the temporal resolution is configurable. | ||
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For more details please refer to the documentation file |