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Effect of facade components on energy efficiency in office buildings

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  • Ihara, Takeshi
  • Gustavsen, Arild
  • Jelle, Bjørn Petter

Abstract

Properties of facade materials should be considered to determine which of them strongly affect building energy performance, regardless of the building shapes, scales, ideal locations, and building types, and thus may be able to promote energy efficiency in buildings. In this study, the effects of four fundamental facade properties related to the energy efficiency of office buildings in Tokyo, Japan, were investigated with the purpose of reducing the heating and cooling energy demands. Some fundamental design factors such as volume and shape were also considered. It was found that the reduction in both the solar heat gain coefficient and window U-value and increase in the solar reflectance of the opaque parts are promising measures for reducing the energy demand. Conversely, the reduction in the U-value of the opaque parts decreased the heating energy demand, and this was accompanied by an increase in the cooling energy demand in some cases because the total energy demands were predominantly for cooling. The above-mentioned promising measures for reducing building energy demands are thus recommended for use, and an appropriate U-value should be applied to the opaque parts based on careful considerations. This study provides some fundamental ideas to adjust the facade properties of buildings.

Suggested Citation

  • Ihara, Takeshi & Gustavsen, Arild & Jelle, Bjørn Petter, 2015. "Effect of facade components on energy efficiency in office buildings," Applied Energy, Elsevier, vol. 158(C), pages 422-432.
    • Handle: RePEc:eee:appene:v:158:y:2015:i:c:p:422-432
    DOI: 10.1016/j.apenergy.2015.08.074
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    1. Pan, Dongmei & Chan, Mingyin & Deng, Shiming & Lin, Zhongping, 2012. "The effects of external wall insulation thickness on annual cooling and heating energy uses under different climates," Applied Energy, Elsevier, vol. 97(C), pages 313-318.
    2. DombaycI, Ö. Altan & Gölcü, Mustafa & Pancar, Yasar, 2006. "Optimization of insulation thickness for external walls using different energy-sources," Applied Energy, Elsevier, vol. 83(9), pages 921-928, September.
    3. Daouas, Naouel, 2011. "A study on optimum insulation thickness in walls and energy savings in Tunisian buildings based on analytical calculation of cooling and heating transmission loads," Applied Energy, Elsevier, vol. 88(1), pages 156-164, January.
    4. Goia, Francesco & Haase, Matthias & Perino, Marco, 2013. "Optimizing the configuration of a façade module for office buildings by means of integrated thermal and lighting simulations in a total energy perspective," Applied Energy, Elsevier, vol. 108(C), pages 515-527.
    5. Huang, Yu & Niu, Jian-lei & Chung, Tse-ming, 2013. "Study on performance of energy-efficient retrofitting measures on commercial building external walls in cooling-dominant cities," Applied Energy, Elsevier, vol. 103(C), pages 97-108.
    6. Ucar, Aynur & Balo, Figen, 2010. "Determination of the energy savings and the optimum insulation thickness in the four different insulated exterior walls," Renewable Energy, Elsevier, vol. 35(1), pages 88-94.
    7. Chan, A.L.S., 2012. "Effect of adjacent shading on the thermal performance of residential buildings in a subtropical region," Applied Energy, Elsevier, vol. 92(C), pages 516-522.
    8. Kalnæs, Simen Edsjø & Jelle, Bjørn Petter, 2014. "Vacuum insulation panel products: A state-of-the-art review and future research pathways," Applied Energy, Elsevier, vol. 116(C), pages 355-375.
    9. Singh, M.C. & Garg, S.N., 2009. "Energy rating of different glazings for Indian climates," Energy, Elsevier, vol. 34(11), pages 1986-1992.
    10. Chan, K. T. & Chow, W. K., 1998. "Energy impact of commercial-building envelopes in the sub-tropical climate," Applied Energy, Elsevier, vol. 60(1), pages 21-39, May.
    11. 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.
    12. Joudi, Ali & Svedung, Harald & Bales, Chris & Rönnelid, Mats, 2011. "Highly reflective coatings for interior and exterior steel cladding and the energy efficiency of buildings," Applied Energy, Elsevier, vol. 88(12), pages 4655-4666.
    13. 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.
    Full references (including those not matched with items on IDEAS)

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    22. Abdul Mujeebu, Muhammad & Ashraf, Noman & Alsuwayigh, Abdulkarim H., 2016. "Effect of nano vacuum insulation panel and nanogel glazing on the energy performance of office building," Applied Energy, Elsevier, vol. 173(C), pages 141-151.
    23. Rehman, Hassam Ur, 2017. "Experimental performance evaluation of solid concrete and dry insulation materials for passive buildings in hot and humid climatic conditions," Applied Energy, Elsevier, vol. 185(P2), pages 1585-1594.
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