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A DIFFERENTIAL DISCRETE PARTICLE SWARM OPTIMIZATION APPROACH TO MODEL PREDICTIVE CONTROL OF BUILDING TEMPERATURE

Pasquale Arpaia, Francesco Donnarumma, Carlo Manna
  • Abstract:
    A differential discrete particle swarm optimization method, aimed at designing a predictive air temperature controller for civil buildings, is presented. The predictive control allows the controller outputs to be computed in order to optimise the future behaviour for a heating/cooling plant in a building, regarding set-point tracking and control effort minimization to save energy. The controller is able to predict the building environmental conditions over a specified time interval, thus mathematical models describing the indoor building climate, as well as predicting the outside weather, are used. In this paper, the proposed design method is compared with a standard particle swarm algorithm, and preliminary experimental results are discussed.
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  • DOI:
    _unreg_tc4-2010.095

Event details:

  • IMEKO TC:
    TC4
  • Event name:
    Instrumentation for the Information and Communication Technology Era
  • Title:
    XVIIth IMEKO TC4 Symposium & 15th International Workshop on ADC Modelling and Testing (together with 3rd IMEKO TC19 Symposium)
  • Place:
    Kosice, SLOVAKIA
  • Time:
    08 September 2010 - 10 September 2010