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Reducing the Cooling Loads of Buildings Using Shading Devices: A Case Study in Darwin

Author

Listed:
  • Aiman Mohammed

    (Faculty of Civil Engineering and Built Environment, University Tun Hussein Onn Malaysia, Parit Raja 86400, Malaysia)

  • Muhammad Atiq Ur Rehman Tariq

    (College of Engineering and Science, Victoria University, Melbourne, VIC 8001, Australia
    Institute for Sustainable Industries & Liveable Cities, Victoria University, Melbourne, VIC 8001, Australia)

  • Anne Wai Man Ng

    (College of Engineering, IT & Environment, Charles Darwin University, Darwin, NT 0810, Australia
    Energy and Resources Institute, Charles Darwin University, Darwin, NT 0810, Australia)

  • Zeeshan Zaheer

    (College of Engineering, IT & Environment, Charles Darwin University, Darwin, NT 0810, Australia)

  • Safwan Sadeq

    (Department of Mechanical Engineering, University Teknologi PETRONAS Malaysia, Seri Iskandar 31750, Malaysia)

  • Mahmood Mohammed

    (Faculty of Engineering, University Putra Malaysia, Seri Kembangan 43400, Malaysia)

  • Hooman Mehdizadeh-Rad

    (College of Engineering, IT & Environment, Charles Darwin University, Darwin, NT 0810, Australia
    Energy and Resources Institute, Charles Darwin University, Darwin, NT 0810, Australia)

Abstract

It is estimated that almost 40% of the world’s energy is consumed by buildings’ heating, ventilation, and air conditioning systems. This consumption increases by 3% every year and will reach 70% by 2050 due to rapid urbanisation and population growth. In Darwin, building energy consumption is even higher and accounts for up to 55% due to the hot and humid weather conditions. Singapore has the same weather conditions but less energy consumption, with only 38% compared to Darwin. Solar radiation can be defined as electromagnetic radiation emitted by the Sun and the Darwin area receives a large amount of solar radiation; building energy consumption can be reduced hugely if this radiation is blocked effectively by analysing appropriate shading devices. This study investigated the influence of different types of shading devices on the cooling load of a town hall building located in Darwin, Australia, and proposed the optimal shading device. The results showed that the horizontal fins led to a 5% reduction in the cooling load of the building. In contrast, adding a variation to the device angles and length increased the savings to 8%. The results demonstrated that the overhangs were more efficient than the fins, contributing 9.2% energy savings, and the cooling reduction savings were increased to 15.5% with design and length variations.

Suggested Citation

  • Aiman Mohammed & Muhammad Atiq Ur Rehman Tariq & Anne Wai Man Ng & Zeeshan Zaheer & Safwan Sadeq & Mahmood Mohammed & Hooman Mehdizadeh-Rad, 2022. "Reducing the Cooling Loads of Buildings Using Shading Devices: A Case Study in Darwin," Sustainability, MDPI, vol. 14(7), pages 1-20, March.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:7:p:3775-:d:777532
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    References listed on IDEAS

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    1. Abanda, F.H. & Byers, L., 2016. "An investigation of the impact of building orientation on energy consumption in a domestic building using emerging BIM (Building Information Modelling)," Energy, Elsevier, vol. 97(C), pages 517-527.
    2. Shaoxiong Li & Le Liu & Changhai Peng, 2020. "A Review of Performance-Oriented Architectural Design and Optimization in the Context of Sustainability: Dividends and Challenges," Sustainability, MDPI, vol. 12(4), pages 1-36, February.
    3. Buratti, C. & Moretti, E., 2012. "Glazing systems with silica aerogel for energy savings in buildings," Applied Energy, Elsevier, vol. 98(C), pages 396-403.
    4. Krarti, Moncef & Dubey, Kankana & Howarth, Nicholas, 2017. "Evaluation of building energy efficiency investment options for the Kingdom of Saudi Arabia," Energy, Elsevier, vol. 134(C), pages 595-610.
    5. Palmero-Marrero, Ana I. & Oliveira, Armando C., 2010. "Effect of louver shading devices on building energy requirements," Applied Energy, Elsevier, vol. 87(6), pages 2040-2049, June.
    6. Dong-Seok Lee & Jae-Hun Jo & Sung-Han Koo & Byung-Yun Lee, 2015. "Development of Climate Indices Using Local Weather Data for Shading Design," Sustainability, MDPI, vol. 7(2), pages 1-16, February.
    7. Guo, Siyue & Yan, Da & Hu, Shan & Zhang, Yang, 2021. "Modelling building energy consumption in China under different future scenarios," Energy, Elsevier, vol. 214(C).
    8. Cristina Carletti & Fabio Sciurpi & Leone Pierangioli, 2014. "The Energy Upgrading of Existing Buildings: Window and Shading Device Typologies for Energy Efficiency Refurbishment," Sustainability, MDPI, vol. 6(8), pages 1-24, August.
    9. Khoroshiltseva, Marina & Slanzi, Debora & Poli, Irene, 2016. "A Pareto-based multi-objective optimization algorithm to design energy-efficient shading devices," Applied Energy, Elsevier, vol. 184(C), pages 1400-1410.
    10. Seok-Hyun Kim & Kyung-Ju Shin & Bo-Eun Choi & Jae-Hun Jo & Soo Cho & Young-Hum Cho, 2015. "A Study on the Variation of Heating and Cooling Load According to the Use of Horizontal Shading and Venetian Blinds in Office Buildings in Korea," Energies, MDPI, vol. 8(2), pages 1-18, February.
    11. Singh, Ramkishore & Lazarus, I.J. & Kishore, V.V.N., 2015. "Effect of internal woven roller shade and glazing on the energy and daylighting performances of an office building in the cold climate of Shillong," Applied Energy, Elsevier, vol. 159(C), pages 317-333.
    12. Amasyali, Kadir & El-Gohary, Nora M., 2018. "A review of data-driven building energy consumption prediction studies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 1192-1205.
    13. Jorge Luis Aguilar-Santana & Hasila Jarimi & Mariana Velasco-Carrasco & Saffa Riffat, 2020. "Review on window-glazing technologies and future prospects," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 15(1), pages 112-120.
    14. Ho-Jeong Kim & Chang-Seok Yang & Hyeun Jun Moon, 2019. "A Study on Multi-Objective Parametric Design Tool for Surround-Type Movable Shading Device," Sustainability, MDPI, vol. 11(24), pages 1-24, December.
    15. 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.
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    Cited by:

    1. Svetlana Pushkar & Abraham Yezioro, 2022. "External Shading Devices: Should the Energy Standard Be Supplemented with a Production Stage?," Sustainability, MDPI, vol. 14(19), pages 1-20, October.
    2. Qing Yang & Nianping Li, 2022. "Subjective and Objective Evaluation of Shading on Thermal, Visual, and Acoustic Properties of Indoor Environments," Sustainability, MDPI, vol. 14(18), pages 1-17, September.

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