process-engineering

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.

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.

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

Water-stability & corrosion indices (LSI, RSI, PSI, Larson-Skold) and water-balance math for cooling towers — a small, dependency-free Python library.

Hybrid machine learning framework for modelling and control of particle processes

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

AI-assisted Aspen HYSYS skill for existing-case takeover, validation, and reporting. AI 辅助接管已有 HYSYS case，完成验证、导出和报告。

Project for testing the implementation of different Process Engineering concepts

Autonomous chemical engineering agent: LLM tool-use over RDKit, Antoine thermo, Python+scipy, arxiv literature. 23-problem benchmark across 10 ChemE subdomains.

COMSOL 6.4 model of an APCVD poly-Si reactor on a 300 mm wafer | inlet redesign cuts non-uniformity 180% to 3.3% | 14-run CCD, Gaussian-process surrogate, Monte Carlo Cpk, 3D asymmetric exhaust

A Total Site Profile Calculator

Valve flow-coefficient sizing to EN IEC 60534-2-1:2011, liquid and gas, including the Reynolds number correction factor. Python standard library only, no dependencies.

Engineering and scientific desktop applications: process calculators, signal and data processing, URDF and robotics model builders, and biomechanics analysis, behind one PyQt6 launcher.

Designed an integrated green ammonia process covering renewable H₂ production, N₂ separation, Haber–Bosch synthesis, recycle/purge, NH₃ recovery, energy analysis and techno-economic optimization, with Aspen Plus validation workflow and sensitivity analysis for electricity cost and process parameters.

This project focuses on the separation of a hydrocarbon mixture using a distillation column. The feed mixture enters the column at 360 K. See the problem statement for additional details.

Sankey and Grassmann diagrams for energy and exergy analysis.

Object-oriented Python program for the full material and energy balance of a raw cane sugar factory — milling, imbibition, clarification, multiple-effect evaporation, pan boiling, and steam/cogeneration.