Teaching · Graduate · 2105603

Advanced Chemical Engineering Thermodynamics

Fifteen weeks in two halves. Weeks 1–7, structure and the pure fluid: the formal machinery of thermodynamics, its molecular basis, and the equations of state built on it. Weeks 9–15, mixtures: solution thermodynamics, phase and reaction equilibrium, and what happens when a model is fitted to data rather than derived.

Code
2105603 · 3 (3-0-9)
Term
Semester 1 / 2026
Level
Graduate · M.Eng. and Ph.D. Chemical Engineering
Taught by
Chanon Pornrungroj · Soorathep Kheawhom
Department
Chemical Engineering, Faculty of Engineering, Chulalongkorn University

Modules

Slides open in the browser — no download, and they work on a phone. Press F for full screen, E for a printable layout, ? for every shortcut. Every equation is live text, so it stays sharp at any zoom.

Weekly schedule

#SessionLead
1 The structure of thermodynamics — fundamental equation, Legendre transforms, Maxwell relations, stability Chanon Pornrungroj
2 Molecular thermodynamics I — intermolecular forces, potential models, virial coefficients Chanon Pornrungroj
3 Molecular thermodynamics II — partition functions and ideal-gas properties Chanon Pornrungroj
4 Cubic equations of state — vdW, RK, SRK, PR, mixing rules, fugacity Chanon Pornrungroj
5 Advanced equations of state — SAFT, association, multiparameter reference equations Chanon Pornrungroj
6 Property determination — residual and departure functions, diagrams, calibration Chanon Pornrungroj
7 Availability and the thermodynamic limits of energy conversion Chanon Pornrungroj
Midterm examination
9 Solution thermodynamics — partial molar properties, fugacity in mixtures, excess properties Soorathep Kheawhom
10 Activity coefficient models — Margules, van Laar, Wilson, NRTL, UNIQUAC, UNIFAC Soorathep Kheawhom
11 Thermodynamic consistency and parameter estimation Soorathep Kheawhom
12 Multicomponent phase equilibrium — flash, phase stability, LLE and VLLE Soorathep Kheawhom
13 Data-driven thermodynamics — matrix completion, physics-guided and thermodynamics-consistent models Soorathep Kheawhom
14 Chemical and electrochemical equilibrium — Gibbs energy minimisation, electrolytes, the Nernst equation Soorathep Kheawhom
15 Process analysis, model selection, and project presentations Soorathep Kheawhom

Assessment

WeightComponentWhat it asks
30% Midterm Weeks 1–7. Closed resource, with one short section on reading and correcting thermodynamic code
35% Final Weeks 9–15, weighted towards mixtures, phase equilibrium and reaction equilibrium
15% Homework (SKH) Two problem sets plus the thermodynamic model audit project
10% Homework (TCP) Three problem sets on equations of state and property calculation
10% Class activities The weekly notebook checkpoint and the AI verification exercises
Generative AI. Permitted and expected on homework, notebooks and the project: for code, for checking a derivation, for reading around a topic. Not permitted in the midterm or the final, which are closed resource. Every submission carries a short AI-use statement, and any machine-produced number must be reproduced by an independent route — from-scratch code, a reference library, or an analytical limit. An unverified result scores zero whether or not it happens to be right.