## CAPE2060 Chemical Thermodynamics

### 10 creditsClass Size: 220

Module manager: Dr A Borissova
Email: a.borissova@leeds.ac.uk

Taught: Semester 1 View Timetable

Year running 2019/20

### Pre-requisites

 CAPE1020 Engineering Science 1 CAPE1040 Mathematical Techniques 1

Module replaces

CAPE2040 Process Modelling and Thermodynamics

This module is not approved as a discovery module

### Objectives

On completion of this module students should have developed and be able to demonstrate a thorough understanding of the fundamentals of process modelling and thermodynamics: PVT properties of fluids (equations of state), relationships between thermodynamic properties of pure substances and mixtures, ideal and non-ideal systems, physical equilibrium between phases with a stress on the vapour-liquid equilibrium and chemical equilibrium. Students should be able to apply MATLAB software to solve numerical problems related to chemical thermodynamics.

Learning outcomes
On successful completion of the module students should:
- have an understanding of thermodynamic systems (both closed and open) and energy flows, including concepts of enthalpy, entropy, heat, work, fugacity and activity;
- be able to derive and transform thermodynamic relationships and use them to present and calculate basic thermodynamic properties e.g. specific enthalpies, entropy changes etc.;
- be familiar with the Equation of State concept and apply it to model ideal and real systems by selecting the appropriate equation;
- be able to calculate properties of both pure substances and mixtures;
- understand the principles of chemical and phase equilibria and apply them to problem solving in related separation and chemical processes;
- gain an understanding of how chemical processes are designed considering both thermodynamics and kinetics;
- be able to apply thermodynamic principles in process design, including how to make reasonable assumptions, and predict system properties when parameter values are uncertain;
- be able to apply MATLAB software for basic programming and application of numerical methods to problem solving.

Skills outcomes
- Ability to understand underlying physics associated with chemical thermodynamics.
- Transferable skills in linking fundamental theories to real world processes.
- Use of MATLAB software.

### Syllabus

Process Modelling:
- MATLAB programming and numerical methods.

Chemical Thermodynamics:
- Pressure-Volume-Temperature (PVT) properties of fluids - equations of state;
- Relationships between thermodynamic properties;
- Pure and multi-component systems;
- Phase diagrams;
- Vapour-liquid equilibrium: dew point and bubble point calculations;
- Chemical equilibrium.

### Teaching methods

 Delivery type Number Length hours Student hours Lecture 11 2.00 22.00 Practical 2 2.00 4.00 Tutorial 5 2.00 10.00 Independent online learning hours 20.00 Private study hours 44.00 Total Contact hours 36.00 Total hours (100hr per 10 credits) 100.00

### Private study

Review of lecture notes each week.
Tutorial assignments (not marked).
Revision for written examination.

### Opportunities for Formative Feedback

One computer assignment based on MATLAB software.

### Methods of assessment

Coursework
 Assessment type Notes % of formal assessment Assignment Summative computer assignment 30.00 Assignment Formative computer assignment 0.00 Total percentage (Assessment Coursework) 30.00

Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated

Exams
 Exam type Exam duration % of formal assessment Standard exam (closed essays, MCQs etc) 2 hr 70.00 Total percentage (Assessment Exams) 70.00

Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated