Thermal Engineering Systems in Python (TESPy). This package provides a powerful simulation toolkit for thermodynamic modeling of thermal engineering plants such as power plants, heat pumps or refrigeration machines.

A Physics-Informed Neural Network to solve 2D steady-state heat equations.

Arduino library and MATLAB/Simulink API for the AutomationShield Arduino expansion boards for control engineering education.

This repository contains all the simulation (exercises) using an open-source chemical process simulator DWSim. Shout out to Daniel Medeiros.

This repository contains exercises that demonstrate how to automate these unit operations using DWSim. These exercises include code examples, tutorials, and documentation on how to implement automation strategies using DWSim.

pyaspenplus is a lightweight Python wrapper to interact with Aspen Plus via a programmatic API.

Simulator for typical process/chemical/refinery engineering applications with rigorous thermodynamics.

An open source PNID labeling tool

A comprehensive tool for advanced pinch analysis, total site integration, heat pump integration, and heat exchanger network synthesis.

Functional & Object-Oriented programs to rule all distillation columns! based on McCabe-Thiele method

Python for Chemical Engineers & Engineers using jupyter notebooks📙🐍

Hybrid machine learning framework for modelling and control of particle processes

SynGameZero – Flowsheet Synthesis in a Game environment with Zero Knowledge

General-purpose library for engineering computations, with focus on clean and consistent interfaces.

Project for testing the implementation of different Process Engineering concepts

Bioreactor simulation tool using CMA and Monte Carlo

AI-powered P&ID Scanner using OCR, Computer Vision & VLMs to extract engineering data, build BOMs & digital twins for Oil & Gas, Utilities & Energy sectors

Direct numerical simulation of particle-laden and bubble flows.

Sankey and Grassmann diagrams for energy and exergy analysis.

Process engineering portfolio with maps, analysis frameworks, controls thinking, and improvement methods.