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Coupling and Quantifying Sustainability and Resilience in Intelligent Buildings

Author

Listed:
  • Deena Ahmed Al Qurneh

    (Engineering System Management, College of Engineering, American University of Sharjah, Sharjah P.O. Box 26666, United Arab Emirates)

  • Lama AbuMoeilak

    (Engineering System Management, College of Engineering, American University of Sharjah, Sharjah P.O. Box 26666, United Arab Emirates)

  • Salwa Beheiry

    (Civil Engineering Department, College of Engineering, American University of Sharjah, Sharjah P.O. Box 26666, United Arab Emirates)

  • Maruf Mortula

    (Civil Engineering Department, College of Engineering, American University of Sharjah, Sharjah P.O. Box 26666, United Arab Emirates)

Abstract

Over recent years, the sustainability and resilience concept has increased its significance in the construction industry. Sustainability is associated with implementing best practices in the construction industry, while resilience is the adaptability and tolerance of systems in harsh conditions. The concepts are learned in the construction process. Moreover, building automation is growing rapidly, and buildings are becoming increasingly dependent on complex systems and technology and susceptible to unanticipated failure. Though sustainability and resilience concepts are interlinked, limited research quantifies their combination, resulting in a limited comprehension of how both concepts interact during application by developers in a smart building. Therefore, this study has established a financial model that employs Net Present Value (NPV) in studying the inference and clampdown of investment in both concepts. NPV was estimated using indirect and direct costs and benefits derived from the continuous integration of sustainability and resilience in a smart building. To quantify sustainability, its three components had to be quantified. Reduced energy expenditure and government environmental incentives were used to calculate the environmental component. Workers’ cost savings, fire insurance cost savings, and additional system maintenance costs were used to calculate the economic component. The social component of sustainability measured hard-to-quantify attributes like productivity, indoor environment quality, reputation, extra profit, services, and safety. To quantify them, a survey and RII method were used. The two concepts were then coupled by estimating the benefits and costs of installing and keeping resilience tools in design that are sustainable in the smart building and the impact study on the NPV outcome. Application of the design model was also carried out on four smart buildings that were selected in Dubai. The result indicated that coupling sustainable approaches and resilience yields higher NPV by at least 22%. Nevertheless, for NPV to be maintained positively and reduce the cost of failure, faulty detection tools should be assimilated while designing sustainable and smart buildings. The findings of this study will contribute to the benefit of other researchers, developers, investors, managers, engineers, and anyone who is involved in the design or construction process of intelligent buildings.

Suggested Citation

  • Deena Ahmed Al Qurneh & Lama AbuMoeilak & Salwa Beheiry & Maruf Mortula, 2024. "Coupling and Quantifying Sustainability and Resilience in Intelligent Buildings," Sustainability, MDPI, vol. 16(8), pages 1-23, April.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:8:p:3175-:d:1373418
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    References listed on IDEAS

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    1. Alibabaei, Nima & Fung, Alan S. & Raahemifar, Kaamran & Moghimi, Arash, 2017. "Effects of intelligent strategy planning models on residential HVAC system energy demand and cost during the heating and cooling seasons," Applied Energy, Elsevier, vol. 185(P1), pages 29-43.
    2. Remer, Donald S. & Nieto, Armando P., 1995. "A compendium and comparison of 25 project evaluation techniques. Part 1: Net present value and rate of return methods," International Journal of Production Economics, Elsevier, vol. 42(1), pages 79-96, November.
    3. Fuyi Yao & Guiwen Liu & Yingbo Ji & Wenjing Tong & Xiaoyun Du & Kaijian Li & Asheem Shrestha & Igor Martek, 2020. "Evaluating the Environmental Impact of Construction within the Industrialized Building Process: A Monetization and Building Information Modelling Approach," IJERPH, MDPI, vol. 17(22), pages 1-22, November.
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