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Document IIF

Un algorithme d'optimisation par essaims particulaires pour déterminer le fonctionnement optimal des refroidisseurs multiples.

A PSO algorithm for optimal multiple chiller operation.

Numéro : pap. ID: 483

Auteurs : BEGHI A., CECCHINATO L., COSI G., et al.

Résumé

The problem of efficiently managing multiple chiller systems is complex in many respects. In particular, the electrical energy consumption in a plant of medium-high cooling capacity markedly increases if the machines are not properly managed. Therefore significant energy savings can be achieved by optimizing the chiller operations in Heating, Ventilation and Air Conditioning (HVAC) plants. In this paper an unified method for efficient management of multiple chiller systems, by means of a Particle Swarm Optimization (PSO) based algorithm, is presented. In particular, the results show that it is possible to achieve substantial energy savings while granting good load profile tracking with respect to standard approaches. The performance of the algorithm is evaluated by resorting to the dynamic simulation environment, where the plant dynamics are accurately described. The results show that PSO satisfactorily deals with such kind of multi-objective, constrained optimization problem, while offering advantages, with respect to other optimization techniques, in terms of ease of implementation.

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Format PDF

Pages : 8 p.

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    20 €

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    Gratuit

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Détails

  • Titre original : A PSO algorithm for optimal multiple chiller operation.
  • Identifiant de la fiche : 30003203
  • Langues : Anglais
  • Source : Proceedings of the 23rd IIR International Congress of Refrigeration: Prague, Czech Republic, August 21-26, 2011. Overarching theme: Refrigeration for Sustainable Development.
  • Date d'édition : 21/08/2011

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