## Weekly outline

• ### Day 1: 13.12.2016

#### The tools required :

1) For the lecture you will need to have AMPL installed on your laptops. The freely available student version is sufficient. You will find here the instructions to install it (you need the size-limited, command line version):

2) On Thursday and Friday we will have an exercise session on optimization and uncertainty. The material needed for the exercise will be uploaded in this Dropbox folder:

For the exercise, you will need to use GLPK. In the glpk_test folder you find the instructions to install GLPK + a simple example to test the installation.

Please have GLPK installed and tested before Thursday.

#### General organisation

• Day 1: 13/12/2016
• 09h00:12h30 Energy system simulation and optimisation techniques
• 14h00:15h30 Energy system simulation and optimisation techniques
• 15h30:17h30 Exercice on optimisation techniques
• Day 2 : 14/12/2016
• 9h00:12h30 Process integration techniques & Utility integration techniques
• 14h00:15h30 Thermo-economic optimisation for process design
• 16h00:17h30 Solving heat exchanger network design problem (A. Mian)
• Day 3: 15/12/2016
• 09h00:12h30 Super structure optimisation : application to heat and mass integration Multi-period problems (F. Marechal)
• 14h00:15h00 Multi-energy system design using optimisation techniques (S. Moret)
• 15h00:17h30 Problem solving : Multi-energy system design using optimisation techniques
• Day 4: 16/12/2016
09h00:10h30 Problem decomposition, multi-period problems, multi-objective optimisation strategies (F.  Marechal)11h00:12h30 Industrial ecology : application of mixed integer linear and non linear optimisation techniques. (Ivan Kantor)14h00:15h00 Dealing with uncertainties (Choosing among options F. Marechal), Robust optimisation (S. Moret)15h30:17h00 Problem solving : energy system design under uncertainties (S. Moret)

#### Videos

We have a set of video from last year.

• ### Lecture Notes

This section includes papers/lecture notes which will help the students to understand the theory behind the course