Reference : Characterising Industrial Sites' Flexibility with Reservoir Models
Scientific congresses and symposiums : Poster
Physical, chemical, mathematical & earth Sciences : Mathematics
http://hdl.handle.net/2268/212703
Characterising Industrial Sites' Flexibility with Reservoir Models
English
[fr] Caractérisation de la flexibilités de sites industriels par modèles de réservoirs
Cuvelier, Thibaut mailto [Université de Liège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation : Optimisation discrète >]
Aug-2017
A0
No
No
International
DS3 Data Science Summer School
from 28-08-2017 to 01-09-2017
École polytechnique
Paris
France
[en] Industrial optimisation ; Electrical flexibility ; Data science
[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.
Montefiore Institute of Electrical Engineering and Computer Science - Montefiore Institute
Researchers ; Professionals ; Students
http://hdl.handle.net/2268/212703

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