Examining the Predictive Precision of Open-Source Simulators for Boosting Reliability and Widespread Acceptance: Thermodynamic Insights into Ethane Dehydrogenation

Abstract

Process simulators remain integral to training engineers across industries, encompassing nuclear, petrochemical, biochemical, and chemical sectors. Their role in teaching various chemical engineering disciplines, including design, integration, thermodynamics, safety, and separation processes, is invaluable. While most simulators are commercial, known for user-friendliness and global confidence, their high costs limit accessibility for low-income schools. In contrast, freeware simulators, though less recognized, present a cost-effective alternative. This study compares the predictive capabilities of commercial and freeware simulators, demonstrating the reliability of open-source options. The recommendation emerges to instruct process engineers using affordable freeware simulators, particularly in economically challenged regions where research funding is scarce.