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Simulations of hourly energy demand, capacity, storage, and CO2 for different expansion scenarios of District Heating (DH) network using EnergyPlus building energy demand .csv files and PVT generation input .csv file.
A black box data driven model that considers the characterization and prediction of heat load in buildings connected to District Heating by using smart heat meters
Heat loss, corrosion diagnostics, and predictive maintenance of pipeline systems. The package is designed for engineers who are involved in exploratory or routine calculations.
This project focuses on generating and analyzing heating networks using geospatial data. It integrates geographic information system (GIS) functionality with network analysis to model and simulate heating networks.