Course notes (Learning materials)
Optimal Sizing and Operations Of Energy Systems Using GBOML
Miftari, Bardhyl; Derval, Guillaume; Ernst, Damien
2023
 

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Keywords :
Optimization; GBOML; Graph; Course; Energy planning; Energy sizing; Energy system; control
Abstract :
[en] This course provides an introduction to the essential role of mathematical optimization in the sizing and operation of energy systems. After a theoretical overview of the concepts, participants will be presented with the GBOML modeling tool, a graph-oriented tool for dealing with these problems. This course is divided into four parts: firstly, we explain the problem of sizing and operation with examples in order to get an intuitive understanding; secondly, participants are introduced to mathematical optimization, in particular Mixed-Integer Linear Programming (MILP); thirdly, a presentation of GBOML and different modeling tools are provided, both in terms of performance and features; and finally, a hands-on tutorial is provided to put the learned concepts into practice. By the end of this course, participants will have gained a better understanding of mathematical optimization and its application to energy systems, as well as the ability to use the GBOML modeling system to create and analyze their own models.
Disciplines :
Energy
Computer science
Engineering, computing & technology: Multidisciplinary, general & others
Author, co-author :
Miftari, Bardhyl ;  Université de Liège - ULiège > Montefiore Institute of Electrical Engineering and Computer Science
Derval, Guillaume ;  Université de Liège - ULiège > Département d'électricité, électronique et informatique (Institut Montefiore) > Smart grids
Ernst, Damien  ;  Université de Liège - ULiège > Département d'électricité, électronique et informatique (Institut Montefiore) > Smart grids
Language :
English
Title :
Optimal Sizing and Operations Of Energy Systems Using GBOML
Publication date :
03 February 2023
Funders :
SPF Economie - Service Public Fédéral Économie, PME, Classes moyennes et Énergie [BE]
Funding number :
Integration
Available on ORBi :
since 03 February 2023

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