Thermodynamics II with Python | Coolprop for Thermodynamic Cycles #1

Thermodynamics II with Python | CoolProp for Thermodynamic Cycles #1

In this video, we begin our Thermodynamics II with Python series, using the CoolProp library to model and analyze thermodynamic cycles step by step.
We show how to calculate cycle parameters, plot P–V and T–s diagrams, and evaluate efficiencies of gas power and refrigeration cycles with real fluid properties.

This playlist is designed for Mechanical, Energy, Aerospace, and Chemical Engineering students who want to combine programming (Python) with thermodynamics problem-solving.

📘 Topics Covered in the Playlist

Introduction to CoolProp for thermodynamic property evaluation

Gas Power Cycles (Otto, Diesel, Dual, Brayton) with Python

Rankine Cycle (Steam Power Plants) coding and plots

Refrigeration & Heat Pump Cycles with CoolProp

Exergy & Entropy analysis using Python scripts

PV and TS diagram generation with Matplotlib

Real vs. Ideal Cycle Comparisons

Engineering exam preparation with coding-based problem solving

By following this series, you’ll learn how to:

Automate thermodynamics calculations with Python

Plot and visualize cycle diagrams

Compare ideal vs. real cycle efficiencies

Solve Yunus Çengel’s Thermodynamics II textbook problems with code

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