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Development of a Reduced Order Model of Solar Heat Gains Prediction

Author

Listed:
  • Meril Tamm

    (Department of Civil Engineering and Architecture, Tallinn University of Technology, Ehitajate tee 5, 19086 Tallinn, Estonia)

  • Jordi Macià Cid

    (Waste, Energy and Enivonmental Impact Unit, Eurecat, Centre Tecnològic de Catalunya, Plaça de la Ciència, 2, 08242 Manresa, Barcelona, Spain)

  • Roser Capdevila Paramio

    (Department of Heat Engines, Polytechnic University of Catalonia, Carrer de Colom, 11, 08222 Terrassa, Barcelona, Spain)

  • Joan Farnós Baulenas

    (Waste, Energy and Enivonmental Impact Unit, Eurecat, Centre Tecnològic de Catalunya, Plaça de la Ciència, 2, 08242 Manresa, Barcelona, Spain)

  • Martin Thalfeldt

    (Department of Civil Engineering and Architecture, Tallinn University of Technology, Ehitajate tee 5, 19086 Tallinn, Estonia)

  • Jarek Kurnitski

    (Department of Civil Engineering and Architecture, Tallinn University of Technology, Ehitajate tee 5, 19086 Tallinn, Estonia
    Department of Civil Engineering, Aalto University, P.O. Box 12100, 00076 Aalto, Finland)

Abstract

The aim of this study was to elaborate and validate a reduced order model able to forecast solar heat gains as a function of the architectural parameters that determine the solar heat gains. The study focused on office buildings in Catalonia and Spain and their physical values were taken from the Spanish Building Technical Code and European Union Directive 2018/844. A reduced order model with three direct variables (solar heat gain coefficient, shade factor, window to wall ratio) and one indirect design variable (building orientation) was obtained and validated in respect to the International Performance Measurement and Verification Protocol. Building envelope properties were fixed and the values were taken from the national standards of Spain. This work validates solar heat gain coefficient as a primary variable in determining the annual solar heat gains in a building. Further work of developed model could result in building energy need quick evaluation tool in terms of solar heat gains for architects in building early stage as it has an advantage over detailed building simulation programs in terms of instant calculation and the limited need for predefined input data.

Suggested Citation

  • Meril Tamm & Jordi Macià Cid & Roser Capdevila Paramio & Joan Farnós Baulenas & Martin Thalfeldt & Jarek Kurnitski, 2020. "Development of a Reduced Order Model of Solar Heat Gains Prediction," Energies, MDPI, vol. 13(23), pages 1-17, November.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:23:p:6316-:d:453767
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