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 Matlab tool calculating the friction pressure loss (head loss) in circular pipes with full flow water in SI Units.
An Excel Add-In allowing calculations of the friction pressure loss (head loss) in circular pipes with full flow water in SI Units.
A Matlab tool calculating the return temperature from the radiator unit (hydronic space heating)
A multi-country electricity market and district heating model
A VBA function calculating the return temperature from the radiator unit (hydronic space heating)
Calculates the temperature drop through the single insulated steel pipe, buried (Steady-State).
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
This package contains all the Modelica components used for the SAMI Project, aiming to enhance the efficiency of a district heating network.
Simulations of 5th generation district heating and cooling grids using Julia
Heat loss, corrosion diagnostics, and predictive maintenance of pipeline systems. The package is designed for engineers who are involved in exploratory or routine calculations.
A streamlit app based on heatpro to generate heat load profile
Synthetic DHN generator model
Neural networks based clusters aggregation for DHN
HeatPro Python Package: Generate Heat Demand Load Profile for District Heating
Modelica library for the modeling, simulation and control of District Heating Networks (DHN) & Gas Networks (GN) within multi-energy systems.
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.
This repository contains some of the scripts and documentation from my PhD research on data-driven methodologies for building efficiency within the district heating sector. It includes R scripts for time series analysis, machine learning, and energy optimization using smart heat meter data.
topotherm is a pyomo-based open-source optimization model for district heating network design.
District heating system unit design and dispatch optimization dashboard using Mixed Integer Linear Programming (MILP).
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