Minimizing Energy Consumption in Heating Systems under Uncertainty

  • Authors:
  • José Ramón Villar;Enrique Cal;Javier Sedano

  • Affiliations:
  • Computer Science department, University of Oviedo, Gijón, Spain 69121;Computer Science department, University of Oviedo, Gijón, Spain 69121;Electromechanic department, University of Burgos, Burgos, Spain 09006

  • Venue:
  • HAIS '08 Proceedings of the 3rd international workshop on Hybrid Artificial Intelligence Systems
  • Year:
  • 2008

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Abstract

Energy saving systems are needed to reduce the energy taxes, so the electric energy remains balanced. In Spain, a local company that produces electric heaters needs an energy saving device to be integrated with the heaters. The building regulations in Spain introduce five different climate zones, so such device must meet all of them. In previous works the uncertainty in the process was shown, and the different configurations that must be included to accomplish the Spanish regulations were established. It was proven that a hybrid artificial intelligent systems (HAIS) could afford the energy saving reasonably, even though some improvements must be introduced. This work proposes a modified solution to relax the hardware restrictions and to solve the lack of distribution observed. The modified energy saving HAIS is detailed and compared with that obtained in previous works.