A lightweight Python module that applies Pinch Technology principles, analysing a given set of stream data to find the Maximum Energy Recovery (MER) target.
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Updated
May 29, 2019 - Jupyter Notebook
A lightweight Python module that applies Pinch Technology principles, analysing a given set of stream data to find the Maximum Energy Recovery (MER) target.
This application allows calculate heat integration for heat exchangers using Python on console mode. Sponsor this repository for access.
Python package to support heat integration.
This application allows calculate heat integration for heat exchangers using Python on GUI
First-principles screening model for a 3,000 kg/h naphtha HDS unit covering sulfur conversion, H₂ demand, heat integration, LMTD-based exchanger sizing, furnace duty, hydraulic screening, and constrained reactor-temperature optimization for ≤10 ppm product sulfur.
Conceptual design, Aspen HYSYS V14 simulation, equipment sizing, heat integration, and techno-economic analysis of an industrial cumene production process from benzene and propylene.
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