IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v34y2009i11p1986-1992.html
   My bibliography  Save this article

Energy rating of different glazings for Indian climates

Author

Listed:
  • Singh, M.C.
  • Garg, S.N.

Abstract

In this study, energy rating of different window glazings, available in the Indian market, has been carried out. This rating is helpful in selecting the best window for a given building and a given climate. It is shown that savings by a window w.r.t. the base window (single glazed, clear glass, 6mm thick), depend upon window type, its orientation, climatic conditions of the place, buildings dimensions and thermal transmittance of its walls and roof. The study has been performed for five different climatic zones of India. Ten types of windows have been studied which include clear glass, tinted glass, low-e coated and solar control windows. Three types of buildings are considered with U-value of their walls ranging 0.52–2.07W/m2K and U-value of their roof ranging 0.54–2.34W/m2K. Finally, regression analysis is performed to develop energy rating equations for different glazings, buildings and climates.

Suggested Citation

  • Singh, M.C. & Garg, S.N., 2009. "Energy rating of different glazings for Indian climates," Energy, Elsevier, vol. 34(11), pages 1986-1992.
  • Handle: RePEc:eee:energy:v:34:y:2009:i:11:p:1986-1992
    DOI: 10.1016/j.energy.2009.08.013
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544209003521
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2009.08.013?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Emery, A.F. & Kippenhan, C.J., 2006. "A long term study of residential home heating consumption and the effect of occupant behavior on homes in the Pacific Northwest constructed according to improved thermal standards," Energy, Elsevier, vol. 31(5), pages 677-693.
    2. Vine, Edward & Barnes, B.K. & Ritschard, Ronald, 1988. "Implementing Home Energy Rating Systems," Energy, Elsevier, vol. 13(5), pages 401-411.
    3. Lam, Joseph C. & Tsang, C.L. & Li, Danny H.W. & Cheung, S.O., 2005. "Residential building envelope heat gain and cooling energy requirements," Energy, Elsevier, vol. 30(7), pages 933-951.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Luo, Yongqiang & Zhang, Ling & Wu, Jing & Wang, Xiliang & Liu, Zhongbing & Wu, Zhenghong, 2017. "Modeling of solar transmission through multilayer glazing facade using shading blinds with arbitrary geometrical and surface optical properties," Energy, Elsevier, vol. 128(C), pages 163-182.
    2. Sadineni, Suresh B. & Madala, Srikanth & Boehm, Robert F., 2011. "Passive building energy savings: A review of building envelope components," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(8), pages 3617-3631.
    3. 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.
    4. Pereira, Júlia & Rivero, Cristina Camacho & Gomes, M. Glória & Rodrigues, A. Moret & Marrero, Madelyn, 2021. "Energy, environmental and economic analysis of windows’ retrofit with solar control films: A case study in Mediterranean climate," Energy, Elsevier, vol. 233(C).
    5. 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.
    6. Stevanović, Sanja, 2016. "Parametric study of a cost-optimal, energy efficient office building in Serbia," Energy, Elsevier, vol. 117(P2), pages 492-505.
    7. Ihm, Pyeongchan & Park, Lyool & Krarti, Moncef & Seo, Donghyun, 2012. "Impact of window selection on the energy performance of residential buildings in South Korea," Energy Policy, Elsevier, vol. 44(C), pages 1-9.
    8. Li, Danny H.W. & Yang, Liu & Lam, Joseph C., 2013. "Zero energy buildings and sustainable development implications – A review," Energy, Elsevier, vol. 54(C), pages 1-10.
    9. Premrov, Miroslav & Žegarac Leskovar, Vesna & Mihalič, Klara, 2016. "Influence of the building shape on the energy performance of timber-glass buildings in different climatic conditions," Energy, Elsevier, vol. 108(C), pages 201-211.
    10. Silvia Cesari & Paolo Valdiserri & Maddalena Coccagna & Sante Mazzacane, 2020. "The Energy Saving Potential of Wide Windows in Hospital Patient Rooms, Optimizing the Type of Glazing and Lighting Control Strategy under Different Climatic Conditions," Energies, MDPI, vol. 13(8), pages 1-24, April.
    11. Xu Chen & Saihong Zhu & Tianyi Chen, 2022. "Thermal Parameters Calibration and Energy-Saving Evaluation of Spectral Selective Absorption Film Coated Glazing System Based on Heat Transfer Simulation," Energies, MDPI, vol. 15(8), pages 1-12, April.
    12. Wang, Guoqiang & Wang, Feng & Li, Longjian & Zhang, Guofu, 2013. "Experiment of catalyst activity distribution effect on methanol steam reforming performance in the packed bed plate-type reactor," Energy, Elsevier, vol. 51(C), pages 267-272.
    13. Audenaert, A. & De Boeck, L. & Roelants, K., 2010. "Economic analysis of the profitability of energy-saving architectural measures for the achievement of the EPB-standard," Energy, Elsevier, vol. 35(7), pages 2965-2971.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hu, Maomao & Xiao, Fu & Wang, Lingshi, 2017. "Investigation of demand response potentials of residential air conditioners in smart grids using grey-box room thermal model," Applied Energy, Elsevier, vol. 207(C), pages 324-335.
    2. Kelly, Scott & Shipworth, Michelle & Shipworth, David & Gentry, Michael & Wright, Andrew & Pollitt, Michael & Crawford-Brown, Doug & Lomas, Kevin, 2013. "Predicting the diversity of internal temperatures from the English residential sector using panel methods," Applied Energy, Elsevier, vol. 102(C), pages 601-621.
    3. Mao, Ning & Pan, Dongmei & Li, Zhao & Xu, Yingjie & Song, Mengjie & Deng, Shiming, 2017. "A numerical study on influences of building envelope heat gain on operating performances of a bed-based task/ambient air conditioning (TAC) system in energy saving and thermal comfort," Applied Energy, Elsevier, vol. 192(C), pages 213-221.
    4. Sadineni, Suresh B. & France, Todd M. & Boehm, Robert F., 2011. "Economic feasibility of energy efficiency measures in residential buildings," Renewable Energy, Elsevier, vol. 36(11), pages 2925-2931.
    5. Jaber, Jamal O. & Mamlook, Rustom & Awad, Wa'el, 2005. "Evaluation of energy conservation programs in residential sector using fuzzy logic methodology," Energy Policy, Elsevier, vol. 33(10), pages 1329-1338, July.
    6. Swan, Lukas G. & Ugursal, V. Ismet, 2009. "Modeling of end-use energy consumption in the residential sector: A review of modeling techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(8), pages 1819-1835, October.
    7. Sheng, Weili & Zhang, Lin & Ridley, Ian, 2020. "The impact of minimum OTTV legislation on building energy consumption," Energy Policy, Elsevier, vol. 136(C).
    8. Sadineni, Suresh B. & Madala, Srikanth & Boehm, Robert F., 2011. "Passive building energy savings: A review of building envelope components," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(8), pages 3617-3631.
    9. Halawa, Edward & Ghaffarianhoseini, Amirhosein & Ghaffarianhoseini, Ali & Trombley, Jeremy & Hassan, Norhaslina & Baig, Mirza & Yusoff, Safiah Yusmah & Azzam Ismail, Muhammad, 2018. "A review on energy conscious designs of building façades in hot and humid climates: Lessons for (and from) Kuala Lumpur and Darwin," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2147-2161.
    10. Seo, Dong-yeon & Koo, Choongwan & Hong, Taehoon, 2015. "A Lagrangian finite element model for estimating the heating and cooling demand of a residential building with a different envelope design," Applied Energy, Elsevier, vol. 142(C), pages 66-79.
    11. Chua, K.J. & Chou, S.K., 2010. "Energy performance of residential buildings in Singapore," Energy, Elsevier, vol. 35(2), pages 667-678.
    12. Yu, Jinghua & Yang, Changzhi & Tian, Liwei & Liao, Dan, 2009. "Evaluation on energy and thermal performance for residential envelopes in hot summer and cold winter zone of China," Applied Energy, Elsevier, vol. 86(10), pages 1970-1985, October.
    13. Anderson, Kyle & Lee, SangHyun, 2016. "An empirically grounded model for simulating normative energy use feedback interventions," Applied Energy, Elsevier, vol. 173(C), pages 272-282.
    14. Dixon, Gene & Abdel-Salam, Tarek & Kauffmann, Paul, 2010. "Evaluation of the effectiveness of an energy efficiency program for new home construction in eastern North Carolina," Energy, Elsevier, vol. 35(3), pages 1491-1496.
    15. Jeongyoon Oh & Taehoon Hong & Hakpyeong Kim & Jongbaek An & Kwangbok Jeong & Choongwan Koo, 2017. "Advanced Strategies for Net-Zero Energy Building: Focused on the Early Phase and Usage Phase of a Building’s Life Cycle," Sustainability, MDPI, vol. 9(12), pages 1-52, December.
    16. Ma, Zhenjun & Wang, Shengwei, 2009. "Building energy research in Hong Kong: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(8), pages 1870-1883, October.
    17. Fouda, A. & Melikyan, Z., 2010. "Assessment of a modified method for determining the cooling load of residential buildings," Energy, Elsevier, vol. 35(12), pages 4726-4730.
    18. Du, Ruiqing & Liu, Chun-Ho & Li, Xian-Xiang & Lin, Chuan-Yao, 2023. "Effect of local climate zone (LCZ) and building category (BC) classification on the simulation of urban climate and air-conditioning load in Hong Kong," Energy, Elsevier, vol. 271(C).
    19. Chung, Mo & Park, Hwa-Choon, 2015. "Comparison of building energy demand for hotels, hospitals, and offices in Korea," Energy, Elsevier, vol. 92(P3), pages 383-393.
    20. Hong, Taehoon & Koo, Choongwan & Kim, Daeho & Lee, Minhyun & Kim, Jimin, 2015. "An estimation methodology for the dynamic operational rating of a new residential building using the advanced case-based reasoning and stochastic approaches," Applied Energy, Elsevier, vol. 150(C), pages 308-322.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:34:y:2009:i:11:p:1986-1992. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.