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Description
Aims:
Advanced use of computers in process design, operation and management. Particular emphasis is placed on Process Synthesis.
Learning Outcomes:
On completion the students will be expected:
- to be aware of the role of optimisation techniques in plant design, operation and management;
- to be aware of numerical techniques for solving continuous and discrete optimisation problems;
- to be able to formulate and solve complex optimisation problems both analytically and using computational tools;
- to be aware of techniques for process synthesis and be familiar with a contemporary tool
Synopsis:
- Approaches to process synthesis and process optimisation.
- Linear programming by the simplex and graphical methods.
- Introduction non-linear process optimisation, optimality criteria, conditions for an optimum,unconstrained optimisation, constrained optimisation. Application to flowsheet optimisation.
- Discrete modelling of process systems. Solution methods for discrete optimisation problems: integer programming, mixed integer linear programming, mixed integer non-linear programming.
- Process synthesis using implicit enumeration. Algorithmic approaches to synthesis of sustainable systems: heat exchanger networks.
- Process synthesis under uncertainty. Flexibility analysis.
Module deliveries for 2024/25 academic year
Last updated
This module description was last updated on 19th August 2024.
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