OPTIMAL OPERATION AND SIZING OF ENERGY SYSTEMS

The course Optimal Operation and Sizing of Energy Systems will allow participants to:

  • Acquire a broad and extensive knowledge of optimization techniques, required in modern energy optimization problems.
  • Select the most appropriate optimization model and optimizer when confronted to a given optimization problem, identify the best values of the optimizer parameters for a given use-case.
  • Translate a problem from its text version to a mathematical formulation.
  • Identify the possible barriers when confronted to real-life problems, and propose relevant simplifications.
  • Model, validate and optimize energy systems.
  • Use and/or develop energy systems simulation tools to characterize, analyse and optimise the system performances.

 

The content of the course Optimal Operation and Sizing of Energy Systems consists of two units:

  1. Exact Optimization for Energy Systems
  2. Meta-heuristics for Energy Systems

Exact Optimization for Energy Systems: course and lab sessions on dedicated software/using in-house code

Meta-heuristics for Energy Systems: course and mini-project on dedicated software/using in-house code

 

Timetable:

Live sessions:

  • Thursday, 08 February: from 08h15 to 10h15
  • Wednesday, 14 February: from 13h30 to 15h30
  • Thursday, 15 February: from 08h15 to 10h15
  • Tuesday, 20 February: from 15h45 to 17h45
  • Wednesday, 21 February: from 13h30 to 15h30
  • Thursday, 22 February: from 08h15 to 10h15
  • Tuesday, 27 February: from 13h30 to 17h30
  • Wednesday, 28 February: from 13h30 to 15h30
  • Thursday, 29 February: from 08h15 to 10h15
  • Tuesday, 05 March: from 13h30 to 17h30
  • Wednesday, 06 March: from 13h30 to 15h30
  • Thursday, 07 March: from 08h15 to 10h15
  • Tuesday, 12 March: from 13h30 to 17h30
  • Thursday, 14 March: from 08h15 to 10h15
  • Thursday, 28 March: from 08h15 to 10h15
  • Thursday, 18 April: from 08h15 to 10h15
  • Thursday, 25 April: from 08h30 to 11h30
  • Thursday, 02 May: from 08h30 to 11h30
  • Thursday, 16 May: from 08h30 to 11h30
  • EUNICE student: enrolled as a student (Masters or PhD) in one of the universities of EUNICE European University alliance.
  • B1 level of English.

Prior skills required:

  • Mathematics for Engineers (linear algebra, mathematical analysis in n-dimensions)
  • Thermodynamics (for the mini-project only)

Study Level: Master, PhD

  • Submit your application via the button ‘Apply Now’.
  • Please keep in mind that the number of participants could be limited for each course. Application does not guarantee enrolment in the course.
  • The course participants will be selected based on criteria specified in the study guide.
  • Your home university will inform you whether you have been accepted and provide further information about the next steps.

Specific instructions in some universities:

Any question? Contact your EUNICE courses coordinator.

This course, focused on physical and geometrical intuition, is like a Swiss knife: it helps you face real world situations in the energy sectors.

Study Level
Master, PhD
Applications deadline
15 December 2023
Dates
5 February - 24 May, 2024

Live sessions:

  • Thursday, 08 February: from 08h15 to 10h15
  • Wednesday, 14 February: from 13h30 to 15h30
  • Thursday, 15 February: from 08h15 to 10h15
  • Tuesday, 20 February: from 15h45 to 17h45
  • Wednesday, 21 February: from 13h30 to 15h30
  • Thursday, 22 February: from 08h15 to 10h15
  • Tuesday, 27 February: from 13h30 to 17h30
  • Wednesday, 28 February: from 13h30 to 15h30
  • Thursday, 29 February: from 08h15 to 10h15
  • Tuesday, 05 March: from 13h30 to 17h30
  • Wednesday, 06 March: from 13h30 to 15h30
  • Thursday, 07 March: from 08h15 to 10h15
  • Tuesday, 12 March: from 13h30 to 17h30
  • Thursday, 14 March: from 08h15 to 10h15
  • Thursday, 28 March: from 08h15 to 10h15
  • Thursday, 18 April: from 08h15 to 10h15
  • Thursday, 25 April: from 08h30 to 11h30
  • Thursday, 02 May: from 08h30 to 11h30
  • Thursday, 16 May: from 08h30 to 11h30
Accreditation
4 ECTS
Mode
Online live