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Modeling and Optimization of Energy Systems (EPFL)
Last Updated: 2026-02-05 16:02:15
Abstract
The goal of the lecture is to present and apply techniques for the modelling and the thermo-economic optimisation of industrial process and energy systems. The lecture covers the problem statement, the solving methods for the simulation and the single and multi-objective optimisation problems.
Objective
By the end of the course, the student must be able to: - Master the concepts of thermodynamic efficiency, E6 - Establish the flow diagram of an industrial process and calculate the corresponding energy and mass balance, E22 - Analyse the energy and exergy efficiency of industrial energy systems, E23 - Model, design and optimize energy conversion systems and ind ustrial processes, E24 - Establish the flow diagram of an industrial process and calculate the corresponding energy and mass balance, E20 - Explain and apply the concepts of thermodynamic efficiency, E6 - Analyze the energy and exergy efficiency of industrial energy systems, E21 - Model , design and optimize energy conversion systems and industrial processes, E22
Content
- Concepts of Computer Aided Process System Engineering methods to tackle the problems of energy conversion systems modelling and optimisation. The students will acquire a methodology to state the problem, identify the solving procedure, solve the problem and analyse the results; - Definition of the basic system modelling concepts : state variables, energy and mass balances, simulation parameters and equations, degree of freedom analysis, different types of specifications, inequalities, objective functions; - Energy systems equipments models; - System models : flowsheets, degrees of freedom, sequential or simultaneous solving approach, numerical methods and their implications; - Measurement data reconciliation and parameter identification; - Calculating systems performances : operating cost, efficiency, environmental impact, investments, thermo-economic and environomic performances; - Stating and solving optimization problems : decision variables, objective functions and constraints, solving strategies, numerical methods and their implications; - Realization of a case study.
General Information
- Language
- English
- Levels
- MSC
- Frequency
- Yearly recurring
Examination
- Type
- graded semester performance
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture with exercise |
Modeling and Optimization of Energy Systems (EPFL)
**Course at EPFL**
|
No time listed | 4 h weekly |
Offered In
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Nuclear Engineering Master (MSc Nuclear Engineering is a joint program of EPF Lausanne and ETH Zurich. The first semester takes place in Lausanne. Students therefore have to enroll at EPFL. For more information about the curriculum and courses see: )
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