A pipeflow calculation tool that complements pandapower in the simulation of multi energy grids
topotherm is a pyomo-based open-source optimization model for district heating network design.
GeoJSON to Modelica Translator that is focused on district energy system design and analysis.
Python library for modeling, simulating, and analyzing district heating networks
An Excel Add-In allowing calculations of the friction pressure loss (head loss) in circular pipes with full flow water in SI Units.
A multi-country electricity market and district heating model
District heating system unit design and dispatch optimization dashboard using Mixed Integer Linear Programming (MILP).
HeatPro Python Package: Generate Heat Demand Load Profile for District Heating
Calculates the temperature drop through the single insulated steel pipe, buried (Steady-State).
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
A streamlit app based on heatpro to generate heat load profile
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.
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.
A Matlab tool calculating the friction pressure loss (head loss) in circular pipes with full flow water in SI Units.
A VBA function calculating the return temperature from the radiator unit (hydronic space heating)
Modelica library for the modeling, simulation and control of District Heating Networks (DHN) & Gas Networks (GN) within multi-energy systems.
Heat loss, corrosion diagnostics, and predictive maintenance of pipeline systems. The package is designed for data analysts and engineers who are involved in exploratory or routine calculations
Synthetic DHN generator model
Neural networks based clusters aggregation for DHN
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