Volume 9, Issue 2 (2019)                   Naqshejahan 2019, 9(2): 105-115 | Back to browse issues page

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Fallah H. Determining the Most Efficient Window-to-Wall Ratio in Southern Façade of Educational Buildings in Kerman. Naqshejahan 2019; 9 (2) :105-115
URL: http://bsnt.modares.ac.ir/article-2-26477-en.html
Architecture Department, Architecture Faculty, Bradsir Branch, Islamic Azad University, Bardsir, Iran , fallah@bardsiriau.ac.ir
Abstract:   (5735 Views)
The energy consumption of the buildings is highly dependent on the specifications of its envelope. Windows have a significant effect on the thermal specification of the building envelope, because of their high thermal conductivity and direct solar transmittance. Hence, specifying the best window-to-wall ratio (WWR) is very important in all climates. This study aims to specify the effective variables on optimizing the window-to-wall ratio for the southern façade in Kerman, based on the thermal specifications of the building envelope. The research method is a combination of field surveys and software simulations. In the field survey method, window to south façade ratio of 26 single-spaces in 16 traditional residential and educational buildings in Kerman were measured, drawn, and analyzed. The results showed that the window-to-wall ratio of 5% to 15% had the most frequency in the surveyed samples. In the software simulation method, window and wall heat transfer coefficients were analyzed rather than SHGC (solar heat gain coefficient), and their effects on annual load were determined. Finally, the 30% ratio was specified as the most efficient window-to-wall ratio for the southern façade in Kerman. According to the results, it can be concluded that if the only thermal analysis is considered, the optimum window-to-wall ratio in the southern façade in Kerman is 15% while using the single glazed window; and it is 30% while using the double glazed window if the SHGC is not less than 0.4. The results also revealed a high dependency on the buildings’ annual thermal load to windows’ SHGC. So, finally, modifications were proposed in the 9th appendix of Code 19, to include the SHGC factor.
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Article Type: Original Research | Subject: Highperformance Architecture
Received: 2018/11/1 | Accepted: 2019/06/20 | Published: 2019/09/21

References
1. Building national code agency. Iranian building national code 19: Energy saving. Tehran: Nashr-e Tose'e-ye Iran; 2013. [Persian] [link]
2. Kim SH, Kim SS, Kim KW, Cho YH. A study on the proposes of energy analysis indicator by the window elements of office buildings in Korea. Energy Build. 2014;73:153-65. [DOI:10.1016/j.enbuild.2013.12.061 Add to Citavi project by DOI]
3. Yong SG, Kim JH, Gim Y, Kim J, Cho J, Hong H, et al. Impacts of building envelope design factors upon energy loads and their optimization in US standard climate zones using experimental design. Energy Build. 2017;141:1-15. [DOI:10.1016/j.enbuild.2017.02.032 Add to Citavi project by DOI]
4. Alghoul SK, Rijabo HG, Mashena ME. Energy consumption in buildings: a correlation for the influence of window to wall ratio and window orientation in Tripoli, Libya. J Build Eng. 2017;11:82-6. [DOI:10.1016/j.jobe.2017.04.003 Add to Citavi project by DOI]
5. Alwetaishi M. Impact of glazing to wall ratio in various climatic regions: a case study. J King Saud Univ Eng Sci. 2019;31(1):6-18. [DOI:10.1016/j.jksues.2017.03.001 Add to Citavi project by DOI]
6. Zomorodian ZS, Nasrollahi F. Architectural design optimization of school buildings for reduction of energy demand in hot and dry climates of Iran. Int J Archit Eng Urban Plan. 2013;23(1):41-50. [link]
7. Zomorodian ZS, Tahsildoost M. Assessment of window performance in classrooms by long term spatial comfort metrics. Energy Build. 2017;134:80-93. [DOI:10.1016/j.enbuild.2016.10.018 Add to Citavi project by DOI]
8. Al-Tamimi NM, Fadzil SFS, Harun WMW. The effects of orientation, ventilation, and varied WWR on the thermal performance of residential rooms in the tropics. J Sustain Dev. 2011;4(2):142-9. [DOI:10.5539/jsd.v4n2p142 Add to Citavi project by DOI]
9. Marino C, Nucara A, Pietrafesa M. Does window-to-wall ratio have a significant effect on the energy consumption of buildings? a parametric analysis in Italian climate conditions. J Build Eng. 2017;13:169-83. [DOI:10.1016/j.jobe.2017.08.001 Add to Citavi project by DOI]
10. Mangkuto RA, Rohmah M, Asri AD. Design optimisation for window size, orientation, and wall reflectance with regard to various daylight metrics and lighting energy demand: a case study of buildings in the tropics. Appl Energy. 2016;164:211-9. [DOI:10.1016/j.apenergy.2015.11.046 Add to Citavi project by DOI]
11. Goia F, Haase M, Perino M. Optimizing the configuration of a façade module for office buildings by means of integrated thermal and lighting simulations in a total energy perspective. Appl Energy. 2013;108:515-27. [DOI:10.1016/j.apenergy.2013.02.063 Add to Citavi project by DOI]
12. Mahdavinejad M, Matoor S, Feyzmand N, Doroodgar A. Horizontal Distribution of Illuminance with Reference to Window Wall Ratio (WWR) in Office Buildings in Hot and Dry Climate, Case of Iran, Tehran. Appl Mech Mater. 2011;110-116:72-6. [DOI:10.4028/www.scientific.net/AMM.110-116.72 Add to Citavi project by DOI]
13. Goia F. Search for the optimal window-to-wall ratio in office buildings in different European climates and the implications on total energy saving potential. Sol Energy. 2016;132:467-92. [DOI:10.1016/j.solener.2016.03.031 Add to Citavi project by DOI]
14. Yu W, Li B, Jia H, Zhang M, Wang D. Application of multi-objective genetic algorithm to optimize energy efficiency and thermal comfort in building design. Energy Build. 2015;88:135-43. [DOI:10.1016/j.enbuild.2014.11.063 Add to Citavi project by DOI]
15. Kwon HJ, Yeon SH, Lee KH, Lee KH. Evaluation of building energy saving through the development of venetian blinds' optimal control algorithm according to the orientation and window-to-wall ratio. Int J Thermophys. 2018;39(2):30. [DOI:10.1007/s10765-017-2350-3 Add to Citavi project by DOI]
16. Ma P, Wang LS, Guo N. Maximum window-to-wall ratio of a thermally autonomous building as a function of envelope U-value and ambient temperature amplitude. Appl Energy. 2015;146:84-91. [DOI:10.1016/j.apenergy.2015.01.103 Add to Citavi project by DOI]
17. Raji B, Tenpierik MJ, van den Dobbelsteen A. An assessment of energy-saving solutions for the envelope design of high-rise buildings in temperate climates: a case study in the Netherlands. Energy Build. 2016;124:210-21. [DOI:10.1016/j.enbuild.2015.10.049 Add to Citavi project by DOI]
18. Haghshenas M. An approach to design and calculation of new Spectral Solar Shader (and its effect on daylight and energy of the building) [Dissertation]. Tehran: University of Tehran; 2009. [Persian]
19. Yang X, Hu M, Wu J, Zhao B. Building-information-modeling enabled life cycle assessment, a case study on carbon footprint accounting for a residential building in China. J Clean Prod. 2018;183:729-43. [DOI:10.1016/j.jclepro.2018.02.070 Add to Citavi project by DOI]
20. Samaan MM, Farag O, Khalil M. Using simulation tools for optimizing cooling loads and daylighting levels in Egyptian campus buildings. HBRC J. 2018;14(1):79-92. [DOI:10.1016/j.hbrcj.2016.01.001 Add to Citavi project by DOI]
21. Ran J, Tang M. Passive cooling of the green roofs combined with night-time ventilation and walls insulation in hot and humid regions. Sustain Cities Soc. 2018;38:466-75. [DOI:10.1016/j.scs.2018.01.027 Add to Citavi project by DOI]
22. de Rubeis T, Nardi I, Ambrosini D, Paoletti D. Is a self-sufficient building energy efficient? Lesson learned from a case study in Mediterranean climate. Appl Energy. 2018;218:131-45. [DOI:10.1016/j.apenergy.2018.02.166 Add to Citavi project by DOI]
23. Fathalian A, Kargarsharifabad H. Actual validation of energy simulation and investigation of energy management strategies (Case Study: An office building in Semnan, Iran). Case Stud Therm Eng. 2018;12:510-6. [DOI:10.1016/j.csite.2018.06.007 Add to Citavi project by DOI]
24. Karimi MS, Fazelpour F, Rosen MA, Shams M. Comparative study of solar-powered underfloor heating system performance in distinctive climates. Renew Energy. 2019;130:524-35. [DOI:10.1016/j.renene.2018.06.074 Add to Citavi project by DOI]
25. Banihashemi S, Golizadeh H, Hosseini MR, Shakouri M. Climatic, parametric and non-parametric analysis of energy performance of double-glazed windows in different climates. Int J Sustain Built Environ. 2015;4(2):307-22. [DOI:10.1016/j.ijsbe.2015.09.002 Add to Citavi project by DOI]

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