A Hierarchical Decomposition Approach for the Optimal Design of a District Cooling System

Bingqian Liu (1, 2) , Côme Bissuel (1) , François Courtot (1) , Céline Gicquel (2) , Dominique Quadri (2)

1 EDF R&D - EDF R&D
2 ROCS - Réseaux & Optimisation Combinatoire et Stochastique - LISN

A district cooling system is a centralized cooling supply system providing air conditioning to a set of buildings located in the same district. Designing and sizing such a system is very complex, as both the initial construction cost and the operation cost of the cooling system during its entire life must be considered. We first propose a modeling approach aiming at formulating this combinatorial optimization problem as a mixed-integer linear program of tractable size. We then extend a previously published hierarchical decomposition technique in order to find the optimal solution in an efficient way. Finally, we provide preliminary computational results based on a real-life case study located in China.

Mots clés: Local energy system design; mixed-integer linear programming; Branch-and-bound; Hierarchical decomposition

Domaines: Recherche opérationnelle [math.OC]; Thermique [physics.class-ph]; Génie civil

Bingqian Liu, Côme Bissuel, François Courtot, Céline Gicquel, Dominique Quadri. A Hierarchical Decomposition Approach for the Optimal Design of a District Cooling System. ICORES2021 - 10th International Conference on Operations Research and Enterprise Systems, Feb 2021, On line streaming, Portugal. pp.317-328, ⟨10.5220/0010220403170328⟩. ⟨hal-03350976⟩