There are 47 repositories under chemical-engineering topic.
The Biorefinery Simulation and Techno-Economic Analysis Modules; Life Cycle Assessment; Chemical Process Simulation Under Uncertainty
A curated list of online chemical engineering education resources
Catalyst Micro-kinetic Analysis Package for automated creation of micro-kinetic models used in catalyst screening
General purpose tools for high-throughput catalysis
The solution for modelling pervaporation membrane performance based on experimental data
This repository contains the source code for “Unscented Kalman filter stochastic nonlinear model predictive control” (UKF-SNMPC).
BioSTEAM's Premier Thermodynamic Engine
Do you work with chemical reactors? Are you curious about them? ASALI is the open-source code that you are looking for. Chemical reactor models, transport/thermodynamic properties of gases, equilibrium calculations. ASALI couples all these features with an user friendly graphical interface. Modeling catalytic reactors has never been so easy.
User Defined Functions for multi-component thermodynamic calculations of the Predictive Peng-Robinson 1978 Equation of State. Clean VBA functions - no UI changes and no pop up messages. Errors are reported in cell comments. Import Math.bas, ModArraySupport.bas and ChemE_Functions.bas into PData.xlsx and save as xlsm or simply download PData.xlsm.
A basic nonlinear model predictive control implementation using Casadi with Unscented Kalman filter state estimation
This repository contains a practical course designed for chemical engineers that want to learn how to solve exercises and program in Python. The course will cover various topics, such as basic Python syntax, data structures, solving ODEs, stoichiometry, data visualization and basic data analysis.
This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).
This application allows calculate heat integration for heat exchangers using Python on console mode. Sponsor this repository for access.
Deep reinforcement learning for design of distillation column trains (chemical engineering process synthesis)
A course on composable system modeling, differential-algebraic equations, acausal modeling, compilers for simulation, and building digital twins of real-world devices
Data driven fault detection in chemical processes: Application to Tennessee Eastman Plant
Modeling and Simulation of Multicomponent Distillation Columns
A program that can do Process Identification and PID Tuning by using Deep Learning designed for people studying and researching chemical engineering.
Process Dynamics Engine (PDE) is an online, real-time simulator for process control models described by transfer functions or state space representations.