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Methodology for selecting fenestration systems in heating dominated climates

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  • Bastien, Diane
  • Athienitis, Andreas K.

Abstract

Selecting optimum windows in heating dominated climates is a complex task because of the inherent trade-off between their U-value and solar heat gain coefficient. In addition, the use of shades is known to reduce heat losses, but they are rarely selected for this intent and considered as an integrated fenestration system at the design stage. This paper presents a method for selecting optimum fenestration systems (windows with shades) to maximize the annual net energy balance. The method has the capability to simulate a one or two layer shading system with one exterior and/or one interior planar shade(s). This methodology generates 2D schematics indicating the net energy balance of different fenestration systems. Such schematics are useful at an early design stage when there is a need to compare different design options for different orientations on a relative basis.

Suggested Citation

  • Bastien, Diane & Athienitis, Andreas K., 2015. "Methodology for selecting fenestration systems in heating dominated climates," Applied Energy, Elsevier, vol. 154(C), pages 1004-1019.
    • Handle: RePEc:eee:appene:v:154:y:2015:i:c:p:1004-1019
    DOI: 10.1016/j.apenergy.2015.05.083
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    References listed on IDEAS

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    1. Koo, Choongwan & Park, Sungki & Hong, Taehoon & Park, Hyo Seon, 2014. "An estimation model for the heating and cooling demand of a residential building with a different envelope design using the finite element method," Applied Energy, Elsevier, vol. 115(C), pages 205-215.
    2. Hee, W.J. & Alghoul, M.A. & Bakhtyar, B. & Elayeb, OmKalthum & Shameri, M.A. & Alrubaih, M.S. & Sopian, K., 2015. "The role of window glazing on daylighting and energy saving in buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 323-343.
    3. Ochoa, Carlos E. & Aries, Myriam B.C. & van Loenen, Evert J. & Hensen, Jan L.M., 2012. "Considerations on design optimization criteria for windows providing low energy consumption and high visual comfort," Applied Energy, Elsevier, vol. 95(C), pages 238-245.
    4. Huang, Yu & Niu, Jian-lei & Chung, Tse-ming, 2014. "Comprehensive analysis on thermal and daylighting performance of glazing and shading designs on office building envelope in cooling-dominant climates," Applied Energy, Elsevier, vol. 134(C), pages 215-228.
    5. Lee, J.W. & Jung, H.J. & Park, J.Y. & Lee, J.B. & Yoon, Y., 2013. "Optimization of building window system in Asian regions by analyzing solar heat gain and daylighting elements," Renewable Energy, Elsevier, vol. 50(C), pages 522-531.
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    Cited by:

    1. Bastien, Diane & Athienitis, Andreas K., 2017. "Passive thermal energy storage, part 2: Design methodology for solaria and greenhouses," Renewable Energy, Elsevier, vol. 103(C), pages 537-560.
    2. Bustamante, Waldo & Uribe, Daniel & Vera, Sergio & Molina, Germán, 2017. "An integrated thermal and lighting simulation tool to support the design process of complex fenestration systems for office buildings," Applied Energy, Elsevier, vol. 198(C), pages 36-48.
    3. Andrea Vallati & Miriam Di Matteo & Costanza Vittoria Fiorini, 2022. "Retrofit Proposals for Energy Efficiency and Thermal Comfort in Historic Public Buildings: The Case of the Engineering Faculty’s Seat of Sapienza University," Energies, MDPI, vol. 16(1), pages 1-25, December.
    4. Al-Saadi, Saleh Nasser & Shaaban, Awni K., 2019. "Zero energy building (ZEB) in a cooling dominated climate of Oman: Design and energy performance analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 112(C), pages 299-316.
    5. Ahn, Jonghoon & Chung, Dae Hun & Cho, Soolyeon, 2018. "Energy cost analysis of an intelligent building network adopting heat trading concept in a district heating model," Energy, Elsevier, vol. 151(C), pages 11-25.

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