2023/24 Undergraduate Module Catalogue

CAPE2060 Chemical Thermodynamics

10 creditsClass Size: 220

Module manager: Professor S Schroeder
Email: S.L.M.Schroeder@leeds.ac.uk

Taught: Semester 1 (Sep to Jan) View Timetable

Year running 2023/24

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

- Understand the difference between ideal and real system behaviour, and apply thermodynamic relationships that describe and predict properties in real systems.
- Derive and transform thermodynamic relationships that predict thermodynamic properties e.g. specific enthalpies, entropy changes, equilibrium constants, free energies.
- Identify and predict quantitatively changes of thermodynamic quantities in ideal and real systems, including: heat and work; state functions (free energies, internal energy, enthalpy, entropy), in pure systems and in mixtures at system, phase and component level.
- Describe, analyse, model and predict energy flows in closed and open thermodynamic quantitatively in terms of the fundamental thermodynamic quantities.
- Use a range of equations of state to determine and predict overall system and partial properties in real and ideal systems (e.g., pressure, volume, temperature, concentration, mole fraction, fugacity, activity).
- Predict system changes (composition, pressures, exchanged heat and work, temperature) when physical and chemical transformations take place, by using chemical potentials, molar enthalpies/entropies of formation, and equilibrium constants.
- Model chemical and phase equilibria quantitatively in the context of separations and chemical processing.
- Use a range of equations of state to predict physical properties of systems, components and phases in ideal and real systems.
- Use databases of material properties to find relevant system, component and phase properties for thermodynamic calculations, including the use of steam tables.
- Apply thermodynamic principles in process design, identifying reasonable simplifying assumptions and predicting system properties when parameter values are uncertain.
- Use elementary programming skills to automate and/or implement numerical solutions in thermodynamic analysis and design.

Learning outcomes
- Understand the thermodynamic and transport properties of fluids and multiphase systems.
- Have a knowledge and understanding of basic mathematical models relevant to chemical engineering.
- Understand the principles of equilibrium and chemical thermodynamics, and application to phase behaviour, to systems with chemical reaction and to processes with heat and work transfer.
- Be familiar with the application and limitations of a range of modelling approaches including first-principles models, simple empirical correlations.
- Apply VBA-based digital techniques for solving chemical engineering problems.

Skills outcomes
- Ability to understand underlying physics associated with chemical thermodynamics.
- Transferable skills in linking fundamental theories to real world processes.
- Elementary VBA programming skills for solving numerical problems.

Syllabus

Process Modelling:
- Elementary 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	8	2.00	16.00
Practical	2	3.00	6.00
Tutorial	8	1.00	8.00
Independent online learning hours			20.00
Private study hours			50.00
Total Contact hours			30.00
Total hours (100hr per 10 credits)			100.00

Private study

Review of lecture notes each week.
Directed reading of recommended texts.
Tutorial assignments (not marked).
Coursework assignment (marked).
Revision for written examination.

Opportunities for Formative Feedback

One computer assignment based on VBA programming.

Methods of assessment

Coursework

Assessment type	Notes	% of formal assessment
Assignment	Assignment	30.00
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

Reading list

The reading list is available from the Library website

Last updated: 28/04/2023 14:55:29

Disclaimer

Browse Other Catalogues

• Undergraduate module catalogue
• Taught Postgraduate module catalogue
• Undergraduate programme catalogue
• Taught Postgraduate programme catalogue

Errors, omissions, failed links etc should be notified to the Catalogue Team.PROD