Advanced Reaction Engineering

Code School Level Credits Semesters
CHEE4001 Chemical and Environmental Engineering 4 10 Spring UK
Code
CHEE4001
School
Chemical and Environmental Engineering
Level
4
Credits
10
Semesters
Spring UK

Summary

A study of more advanced topics in Reactor Design, including mixing, heterogeneous gas phase reactions, and the interactions of kinetics with mass and heat transfer and their effects on design.

Reassessment for this module is by 70% exam (resit), 30% coursework (reattempt).

Target Students

Students registered in the Department of Chemical and Environmental Engineering only.

Assessment

Assessed by end of spring semester

Educational Aims

The intent of this course is to help the student master advanced concepts in chemical reaction engineering, notably:Advanced reactor designChemical reaction mechanisms and rate theoriesTransport effects in reactive systemsRate expressions for complex and heterogeneous catalytic reaction systemNon-ideal reactors and models to estimate real conversion

Learning Outcomes

A2 Chemical Engineering Principles: 
A2.3.3- Be able to select and adapt computational and analytical techniques to tackle complex problems.

A2.4.5 - Be able to apply their knowledge of chemical engineering principles to complex and/or novel unit operations, process equipment, and substances with complex behaviour

A2.4.6- Be able to apply their knowledge of these principles to complex problems with conflicting requirements

Demonstrated by the ability to determine heterogeneous catalytic reactions with surface reaction or internal mass transfer limitations to evaluate the optimum conditions to increase the reaction rate and decrease the diffusion limitations. As evidenced by exam questions that require the student to determine the effect of temperature and catalyst particle size that increasing T, reducing d result to cost/material implications and pressure drop across the reactor, respectively.

A4 Chemical Engineering Design: 
A.4.2.8- Have a comprehensive understanding of design processes and methodologies and an ability to apply and adapt them in unfamiliar situations. 

Demonstrated by the ability to solve non-ideal reactor conversion problems. As evidenced by exam question that requires the student to use special models e.g., two parameters and dispersion models, to predict the conversion of the reaction in a non-ideal reactor and compare to ideal conversion.

A5 Embedded Learning: 
A5.2.10 Have the ability to handle uncertainty and complexity  

Demonstrated by the ability to use classical statistical software e.g., IBM SPSS Statistical Suite, to employ non-linear regression to estimate adsorption parameters and rate coefficient in order to derive the general rate expression of a heterogeneous catalytic reaction. As evidenced by compulsory coursework question that requires the student to determine the rate expression of a heterogeneous catalytic reaction system after suggesting reaction rate steps.  
 

A2.4.5 - Be able to apply their knowledge of chemical engineering principles to complex and/or novel unit operations, process equipment, and substances with complex behaviour.

A2.4.6- Be able to apply their knowledge of these principles to complex problems with conflicting requirements.

ldquoDemonstrated by the ability to determine heterogeneous catalytic reactions with surface reaction or internal mass transfer limitations to evaluate the optimum conditions to increase the reaction rate and decrease the diffusion limitations. As evidenced by exam questions that require the student to determine the effect of temperature and catalyst particle size that increasing T, reducing d result to cost/material implications and pressure drop across the reactor, respectively.

A4 Chemical Engineering Design: 
A.4.2.8- Have a comprehensive understanding of design processes and methodologies and an ability to apply and adapt them in unfamiliar situations.

Demonstrated by the ability to solve non-ideal reactor conversion problems. As evidenced by exam question that requires the student to use special models e.g., two parameters and dispersion models, to predict the conversion of the reaction in a non-ideal reactor and compare to ideal conversion.

A5 Embedded Learning: 
A5.2.10 Have the ability to handle uncertainty and complexity.

Demonstrated by the ability to use classical statistical software e.g., IBM SPSS Statistical Suite, to employ non-linear regression to estimate adsorption parameters and rate coefficient in order to derive the general rate expression of a heterogeneous catalytic reaction. As evidenced by compulsory coursework question that requires the student to determine the rate expression of a heterogeneous catalytic reaction system after suggesting reaction rate steps.

Conveners

View in Curriculum Catalogue
Last updated 07/01/2025.