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Comprehensive analysis on thermal and daylighting performance of glazing and shading designs on office building envelope in cooling-dominant climates

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  • Huang, Yu
  • Niu, Jian-lei
  • Chung, Tse-ming

Abstract

Conducting energy-efficient designs on building window can be a solution to relieving the pressure caused by growing building energy consumption. In this paper, a series of simulation studies were carried out to evaluate the performance of several popular energy-efficient window designs in cooling-dominant climates. Both thermal and daylighting performance were considered during the analysis. Results indicate that among all designs studied, low-e glazing achieves a best performance, while double-layer glazing performs the worst. Energy-efficient designs on the east and west orientations are the most cost-effective in cooling-dominant climates. As latitude rises, the performance of window designs on the south orientation is getting better. It is also discovered that only in area very close to equator performance of north facing window designs is satisfactory. Furthermore, as the reflectivity of blind louver decreases, both thermal and daylighting performances drop.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:appene:v:134:y:2014:i:c:p:215-228
    DOI: 10.1016/j.apenergy.2014.07.100
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    19. Wu, Yujie & Kämpf, Jérôme H. & Scartezzini, Jean-Louis, 2019. "Automated ‘Eye-sight’ Venetian blinds based on an embedded photometric device with real-time daylighting computing," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
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    22. Aldossary, Naief A. & Rezgui, Yacine & Kwan, Alan, 2015. "Consensus-based low carbon domestic design framework for sustainable homes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 417-432.
    23. Hossein Moayedi & Amir Mosavi, 2021. "Suggesting a Stochastic Fractal Search Paradigm in Combination with Artificial Neural Network for Early Prediction of Cooling Load in Residential Buildings," Energies, MDPI, vol. 14(6), pages 1-19, March.
    24. José Luis Fuentes-Bargues & José-Luis Vivancos & Pablo Ferrer-Gisbert & Miguel Ángel Gimeno-Guillem, 2020. "Analysis of the Impact of Different Variables on the Energy Demand in Office Buildings," Sustainability, MDPI, vol. 12(13), pages 1-23, July.
    25. Ali Bahadori-Jahromi & Abdulazeez Rotimi & Anastasia Mylona & Paulina Godfrey & Darren Cook, 2017. "Impact of Window Films on the Overall Energy Consumption of Existing UK Hotel Buildings," Sustainability, MDPI, vol. 9(5), pages 1-23, May.

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