Modelling and optimization of energy systems
Summary
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.
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;
- 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 technology system integration project
Keywords
Process system engineering, Process simulation, optimization
Learning Prerequisites
Important concepts to start the course
- Understand energy conversion
- Master the concepts of mass, energy, and momentum balance, E1 (Thermodynamique et énergétique I)
- Compute the thermodynamic properties of a fluid, E2 (Thermodynamique et énergétique I)
- Master the concepts of heat and mass transfer, E3 (Heat and mass transfer)
- Understand the main thermodynamic cycles, E5 (Thermodynamique et énergétique I)
- Notion of optimization (Introduction à l'optimisation différentiable)
Teaching methods
The course is given as a group project realisation together with the ME-451 course (advanced energetics).
Theory is given as a set of video, Q&A sessions concerning the theory will be organised during the semester.
Project description: "Considering the sustainable development goals, the goal of the project is to study the decarbonisation strategy of an industrial production process to be integrated with a new data center in a urban district. The decarbonisation strategy includes the definition of the system configurations, i.e. the investment to be made and the associated material and energy flows generated and the calculation of the asssociated key sustainability performance metrics."
It will be realised by a group of 3 students with the following milestones:
- Analyse : problem statement, data collection and generation of possible options
- Generate: use of computer aided models to generate system configurations
- Interpret: compare the generated system configurations and study the integration of a specific technology in the system
- Report: report the decarbonisation strategy for the system
The work will be supported by open source computer tools for modeling. optimisation and reporting.
Expected student activities
Motivated students will realise a project as a team work. Each student will have to report the integration of a specific technology and compare it to the alternatives.
They will have to organise their work in the 4 steps:
- Data collection, brainstorming, bibliography search and model development for options identified
- Distribute and coordinate the tasks,
- Realise calculations : understanding of the theory to apply and application with practical tools
- Calculate the sustainability performance indicators
- Present the milestones
- Write the final report and the specific technology integration assessment chapter
Each student will review the report of another project.
Assessment methods
40%: Project Report & supporting information: Team report
40%: Technology integration assessment chapter: individual contribution
20%: Review a technology integration assessment report of another student
Supervision
| Office hours | Yes |
| Assistant.e.s | Yes |
| Forum | Yes |
| Others |
In the programs
- Semester: Fall
- Exam form: Oral (winter session)
- Subject examined: Modelling and optimization of energy systems
- Courses: 2 Hour(s) per week x 14 weeks
- Exercises: 2 Hour(s) per week x 14 weeks
- Type: optional
- Semester: Fall
- Exam form: Oral (winter session)
- Subject examined: Modelling and optimization of energy systems
- Courses: 2 Hour(s) per week x 14 weeks
- Exercises: 2 Hour(s) per week x 14 weeks
- Type: optional
- Semester: Fall
- Exam form: Oral (winter session)
- Subject examined: Modelling and optimization of energy systems
- Courses: 2 Hour(s) per week x 14 weeks
- Exercises: 2 Hour(s) per week x 14 weeks
- Type: optional
- Semester: Fall
- Exam form: Oral (winter session)
- Subject examined: Modelling and optimization of energy systems
- Courses: 2 Hour(s) per week x 14 weeks
- Exercises: 2 Hour(s) per week x 14 weeks
- Type: optional
- Semester: Fall
- Exam form: Oral (winter session)
- Subject examined: Modelling and optimization of energy systems
- Courses: 2 Hour(s) per week x 14 weeks
- Exercises: 2 Hour(s) per week x 14 weeks
- Type: optional
- Semester: Fall
- Exam form: Oral (winter session)
- Subject examined: Modelling and optimization of energy systems
- Courses: 2 Hour(s) per week x 14 weeks
- Exercises: 2 Hour(s) per week x 14 weeks
- Type: optional
- Semester: Fall
- Exam form: Oral (winter session)
- Subject examined: Modelling and optimization of energy systems
- Courses: 2 Hour(s) per week x 14 weeks
- Exercises: 2 Hour(s) per week x 14 weeks
- Type: optional
- Semester: Fall
- Exam form: Oral (winter session)
- Subject examined: Modelling and optimization of energy systems
- Courses: 2 Hour(s) per week x 14 weeks
- Exercises: 2 Hour(s) per week x 14 weeks
- Type: optional
- Semester: Fall
- Exam form: Oral (winter session)
- Subject examined: Modelling and optimization of energy systems
- Courses: 2 Hour(s) per week x 14 weeks
- Exercises: 2 Hour(s) per week x 14 weeks
- Type: optional
- Semester: Fall
- Exam form: Oral (winter session)
- Subject examined: Modelling and optimization of energy systems
- Courses: 2 Hour(s) per week x 14 weeks
- Exercises: 2 Hour(s) per week x 14 weeks
- Type: optional
- Semester: Fall
- Exam form: Oral (winter session)
- Subject examined: Modelling and optimization of energy systems
- Courses: 2 Hour(s) per week x 14 weeks
- Exercises: 2 Hour(s) per week x 14 weeks
- Type: optional
- Semester: Fall
- Exam form: Oral (winter session)
- Subject examined: Modelling and optimization of energy systems
- Courses: 2 Hour(s) per week x 14 weeks
- Exercises: 2 Hour(s) per week x 14 weeks
- Type: optional
- Semester: Fall
- Exam form: Oral (winter session)
- Subject examined: Modelling and optimization of energy systems
- Courses: 2 Hour(s) per week x 14 weeks
- Exercises: 2 Hour(s) per week x 14 weeks
- Type: optional