IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i8p2016-d347207.html
   My bibliography  Save this article

Effect of Existing Façade’s Construction and Orientation on the Performance of Low-E-Based Retrofit Double Glazing in Tropical Climate

Author

Listed:
  • Sivanand Somasundaram

    (Experimental Power Grid Centre, Energy Research Institute, Nanyang Technological University, Singapore 627590, Singapore)

  • Sundar Raj Thangavelu

    (Experimental Power Grid Centre, Energy Research Institute, Nanyang Technological University, Singapore 627590, Singapore)

  • Alex Chong

    (Experimental Power Grid Centre, Energy Research Institute, Nanyang Technological University, Singapore 627590, Singapore)

Abstract

This paper investigates the effect of an existing façade’s construction (viz. clear/grey/solar film, with and without external shade) and orientation on the performance of low-e (hard coat)-based retrofit double glazing in a tropical climate. The performance of double-glazed façades is characterized by the ability to reduce solar heat gain and the consequent reduction in power consumption of air-conditioning systems. This study involves a real-life test-bedding of a low-e (hard coat)-based retrofit double-glazing façade for a few specific cases—clear glass southeast façade without shade, clear glass southwest façade with external shade, and northwest façade with solar film and external shade. Subsequently, energy modelling simulations were done to analyze other scenarios involving various combinations of façade orientation (north, south, west, and east) and façade material (clear glass, tinted grey glass, clear glass with solar film) with and without external sunshades. The east/west-facing façades had a higher impact on the retrofit solution, and more so when the existing façade was of tinted glass or with solar film. For the case analyzed, with a window-to-wall ratio of 8% (based on overall building envelope), a grey tinted east-facing façade could benefit from annual average HVAC energy savings of up to 5.9%.

Suggested Citation

  • Sivanand Somasundaram & Sundar Raj Thangavelu & Alex Chong, 2020. "Effect of Existing Façade’s Construction and Orientation on the Performance of Low-E-Based Retrofit Double Glazing in Tropical Climate," Energies, MDPI, vol. 13(8), pages 1-14, April.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:8:p:2016-:d:347207
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/8/2016/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/13/8/2016/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Quesada, Guillermo & Rousse, Daniel & Dutil, Yvan & Badache, Messaoud & Hallé, Stéphane, 2012. "A comprehensive review of solar facades. Transparent and translucent solar facades," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 2643-2651.
    2. Thangavelu, Sundar Raj & Myat, Aung & Khambadkone, Ashwin, 2017. "Energy optimization methodology of multi-chiller plant in commercial buildings," Energy, Elsevier, vol. 123(C), pages 64-76.
    3. David Valentín & Alfredo Guardo & Eduard Egusquiza & Carme Valero & Pere Alavedra, 2013. "Assessment of the Economic and Environmental Impact of Double Glazed Façade Ventilation Systems in Mediterranean Climates," Energies, MDPI, vol. 6(10), pages 1-19, September.
    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. Piyanut Saengsikhiao & Juntakan Taweekun, 2021. "Energy Efficiency Improvement Solutions for Supermarkets by Low-E Glass Door and Digital Semi-Hermetic Compressor," Energies, MDPI, vol. 14(11), pages 1-11, May.

    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. Ju-wan Ha & Yu-jin Kim & Kyung-soon Park & Young-hak Song, 2022. "Energy Saving Evaluation with Low Liquid to Gas Ratio Operation in HVAC&R System," Energies, MDPI, vol. 15(19), pages 1-29, October.
    2. Fan, Cheng & Sun, Yongjun & Zhao, Yang & Song, Mengjie & Wang, Jiayuan, 2019. "Deep learning-based feature engineering methods for improved building energy prediction," Applied Energy, Elsevier, vol. 240(C), pages 35-45.
    3. Barbosa, Sabrina & Ip, Kenneth, 2014. "Perspectives of double skin façades for naturally ventilated buildings: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 1019-1029.
    4. Xiaoqing Wei & Nianping Li & Jinqing Peng & Jianlin Cheng & Jinhua Hu & Meng Wang, 2017. "Modeling and Optimization of a CoolingTower-Assisted Heat Pump System," Energies, MDPI, vol. 10(5), pages 1-18, May.
    5. Jordi Parra & Alfredo Guardo & Eduard Egusquiza & Pere Alavedra, 2015. "Thermal Performance of Ventilated Double Skin Façades with Venetian Blinds," Energies, MDPI, vol. 8(6), pages 1-17, May.
    6. Kim, Icksung & Kim, Woohyun, 2023. "Application of market-based control with thermal energy storage system for demand limiting and real-time pricing control," Energy, Elsevier, vol. 263(PA).
    7. Zhuang, Chaoqun & Wang, Shengwei & Shan, Kui, 2020. "A risk-based robust optimal chiller sequencing control strategy for energy-efficient operation considering measurement uncertainties," Applied Energy, Elsevier, vol. 280(C).
    8. Qinli Deng & Liangxin Xu & Tingfang Zhao & Xuexin Hong & Xiaofang Shan & Zhigang Ren, 2022. "Cooperative Optimization of A Refrigeration System with A Water-Cooled Chiller and Air-Cooled Heat Pump by Coupling BPNN and PSO," Energies, MDPI, vol. 15(19), pages 1-19, September.
    9. Elguezabal, P. & Lopez, A. & Blanco, J.M. & Chica, J.A., 2020. "CFD model-based analysis and experimental assessment of key design parameters for an integrated unglazed metallic thermal collector façade," Renewable Energy, Elsevier, vol. 146(C), pages 1766-1780.
    10. Tang, Rui & Wang, Shengwei & Shan, Kui & Cheung, Howard, 2018. "Optimal control strategy of central air-conditioning systems of buildings at morning start period for enhanced energy efficiency and peak demand limiting," Energy, Elsevier, vol. 151(C), pages 771-781.
    11. Diallo, Thierno M.O. & Zhao, Xudong & Dugue, Antoine & Bonnamy, Paul & Javier Miguel, Francisco & Martinez, Asier & Theodosiou, Theodoros & Liu, Jing-Sheng & Brown, Nathan, 2017. "Numerical investigation of the energy performance of an Opaque Ventilated Façade system employing a smart modular heat recovery unit and a latent heat thermal energy system," Applied Energy, Elsevier, vol. 205(C), pages 130-152.
    12. Jee-Heon Kim & Nam-Chul Seong & Wonchang Choi, 2019. "Modeling and Optimizing a Chiller System Using a Machine Learning Algorithm," Energies, MDPI, vol. 12(15), pages 1-13, July.
    13. Liu, Xuefeng & Huang, Bin & Zheng, Yulan, 2023. "Control strategy for dynamic operation of multiple chillers under random load constraints," Energy, Elsevier, vol. 270(C).
    14. Krarti, Moncef & Aldubyan, Mohammad, 2021. "Review analysis of COVID-19 impact on electricity demand for residential buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).
    15. Olivieri, L. & Caamaño-Martín, E. & Moralejo-Vázquez, F.J. & Martín-Chivelet, N. & Olivieri, F. & Neila-Gonzalez, F.J., 2014. "Energy saving potential of semi-transparent photovoltaic elements for building integration," Energy, Elsevier, vol. 76(C), pages 572-583.
    16. Serafín Alonso & Antonio Morán & Miguel Ángel Prada & Perfecto Reguera & Juan José Fuertes & Manuel Domínguez, 2019. "A Data-Driven Approach for Enhancing the Efficiency in Chiller Plants: A Hospital Case Study," Energies, MDPI, vol. 12(5), pages 1-28, March.
    17. Marchini, F. & Chiatti, C. & Fabiani, C. & Pisello, A.L., 2023. "Development of an innovative translucent–photoluminescent coating for smart windows applications: An experimental and numerical investigation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 184(C).
    18. Tripathy, M. & Sadhu, P.K. & Panda, S.K., 2016. "A critical review on building integrated photovoltaic products and their applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 61(C), pages 451-465.
    19. Manuel R. Arahal & Manuel G. Ortega & Manuel G. Satué, 2021. "Chiller Load Forecasting Using Hyper-Gaussian Nets," Energies, MDPI, vol. 14(12), pages 1-15, June.
    20. Yamile Díaz Torres & Paride Gullo & Hernán Hernández Herrera & Migdalia Torres del Toro & Roy Reyes Calvo & Jorge Iván Silva Ortega & Julio Gómez Sarduy, 2023. "Energy Performance Comparison of a Chiller Plant Using the Conventional Staging and the Co-Design Approach in the Early Design Phase of Hotel Buildings," Energies, MDPI, vol. 16(9), pages 1-23, April.

    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:gam:jeners:v:13:y:2020:i:8:p:2016-:d:347207. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.