district-heating

City Energy Analyst (CEA) is an open-source urban building energy modeling (UBEM) platform and computation tool for the design of low-carbon and highly efficient cities.

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.

District heating system unit design and dispatch optimization dashboard using Mixed Integer Linear Programming (MILP).

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 multi-country electricity market and district heating model

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.

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.

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

A streamlit app based on heatpro to generate heat load profile

Open standards for heat network quality assurance: HNQAP-MQTT addressing, a vocabulary of point names, monitoring points and a heat network KPI reference aligned with HNTAS.

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.

Bring a HomeWizard P1 MBus heat / hot-water meter (e.g. Icelandic hitaveita) into Home Assistant — it's in the telegram but missing from /api/v1/data.

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)