Bioclimatic House Heat Exchanger Behavior Prediction with Time Series Modeling

  • Bruno Baruque
  • Esteban Jove
  • José Luis Casteleiro-Roca
  • Santiago Porras
  • José Luis Calvo-Rolle
  • Emilio Corchado
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 649)

Abstract

The Heat Pump with geothermal exchanger is one of the best methods to heat up a building. The heat exchanger is one of the most representative elements when a heat pump is employed as building heating system. In the present study, a novel intelligent system was designed to predict the performance of on this kind of heating equipment. The novel approach has been successfully empirically tested under a real dataset obtained during measurements along one year. It was based on time series modeling. Then, the model was validated and verified; it obtains good results in all the operating conditions ranges.

Keywords

Time series modeling Time delay neural networks Heat exchanger Heat pump Geothermal exchanger 

Notes

Acknowledgments

We would like to thank the ‘Instituto Enerxético de Galicia’ (INEGA) and ‘Parque Eólico Experimental de Sotavento’ (Sotavento Foundation) for their technical support on this work.

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Bruno Baruque
    • 1
  • Esteban Jove
    • 2
  • José Luis Casteleiro-Roca
    • 2
  • Santiago Porras
    • 3
  • José Luis Calvo-Rolle
    • 2
  • Emilio Corchado
    • 4
  1. 1.Departamento de Ingeniería CivilUniversity of BurgosBurgosSpain
  2. 2.Departamento de Ingeniería IndustrialUniversity of A CoruñaFerrolSpain
  3. 3.Departamento de Economía AplicadaUniversity of BurgosBurgosSpain
  4. 4.Departamento de Informática y AutomáticaUniversity of SalamancaSalamancaSpain

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