#6033. On modelling effects in the battery and thermal storage scheduling problem

July 2026publication date
Proposal available till 28-05-2025
4 total number of authors per manuscript0 $

The title of the journal is available only for the authors who have already paid for
Journal’s subject area:
Architecture;
Modeling and Simulation;
Building and Construction;
Computer Science Applications;
Places in the authors’ list:
place 1place 2place 3place 4
FreeFreeFreeFree
2350 $1200 $1050 $900 $
Contract №6033.1 Contract №6033.2 Contract №6033.3 Contract №6033.4
1 place - free (for sale)
2 place - free (for sale)
3 place - free (for sale)
4 place - free (for sale)

Abstract:
The growing use of intermittent renewable energy sources requires an increased amount of storage capacity to match uncertain generation with uncertain demand. A possible solution is the use of thermal and electrical storages. This paper compares several model formulations: mixed integer linear programs (MILPs), nonlinear programs (NLPs), mixed integer nonlinear programs (MINLPs) for optimizing the operation of a multi-modal home energy system comprising heating and electricity subsystems. The respective optimization problems are then resolved within a model predictive control scheme and the final solutions are compared in terms of runtime and optimality.
Keywords:
battery scheduling; mixed integer optimization; model predictive control; modelling; nonlinear optimization; Thermal storages

Contacts :
0