entropy thermodynamics multi-phase systems PC-SAFT EOS-F computational simulation energy efficiency

The study of entropy changes in multi-phase systems is crucial for advancing thermodynamic applications in engineering. This paper aims to explore the dynamic interactions between different phases in a system and how these affect entropy. Utilizing advanced thermodynamic models, such as the Perturbed Chain Statistical Associating Fluid Theory (PC-SAFT) and Equation of State for Fuels (EOS-F), this research investigates the behavior of multi-phase systems under varying conditions. Our methods include rigorous computational simulations paired with experimental validations using a broad range of materials. Findings indicate that traditional single-phase models significantly underestimate entropy variations in multi-phase contexts. The enhanced understanding of entropy dynamics provided by our models offers a more accurate prediction of energy efficiencies and material behaviors, vital for the optimization of industrial processes. In conclusion, our research presents a validated framework for assessing entropy in complex systems, potentially leading to more sustainable engineering solutions by maximizing energy efficiency and resource utilization.

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