Industrial optimisation; Electrical flexibility; Data science
Résumé :
[en] Electro-intensive industrial sites are very dependent on electricity prices to remain competitive. Nevertheless, they can often tune their processes in order to decrease their electricity consumption during the most critical periods, for example by using decision support systems based on mathematical modelling of their processes. Our goal is to estimate the flexibility potential of a complete site, not to tune each process very precisely.
To this end, we propose a generic paradigm to help conceiving such models: reservoirs are the basic building block, which allows for great expressiveness while being close to the physics. More specifically, we do not need very precise models for our purposes, but ones that can be efficiently included in optimisation models.
Our first results show that the obtained reservoir models can give sufficiently good approximations for metallurgical and other processes.
Centre de recherche :
Montefiore Institute - Montefiore Institute of Electrical Engineering and Computer Science - ULiège
Disciplines :
Mathématiques
Auteur, co-auteur :
Cuvelier, Thibaut ; Université de Liège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation : Optimisation discrète
Langue du document :
Anglais
Titre :
Characterising Industrial Sites' Flexibility with Reservoir Models
Titre traduit :
[fr] Caractérisation de la flexibilités de sites industriels par modèles de réservoirs
