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Systematic Review Analysis on Smart Building: Challenges and Opportunities

Author

Listed:
  • Muhammad Saidu Aliero

    (School of Information Technology, Monash University, Subang Jaya 47500, Malaysia)

  • Muhammad Asif

    (Architectural Engineering Department, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia
    Interdisciplinary Research Center for Renewable Energy and Power Systems, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia)

  • Imran Ghani

    (Virginia Military Institute, Lexington, VA 24450, USA)

  • Muhammad Fermi Pasha

    (School of Information Technology, Monash University, Subang Jaya 47500, Malaysia)

  • Seung Ryul Jeong

    (Graduate School of Business IT, Kookmin University, Seoul 136, Korea)

Abstract

Smart building technology incorporates efficient and automated controls and applications that use smart energy products, networked sensors, and data analytics software to monitor environmental data and occupants’ energy consumption habits to improve buildings’ operation and energy performance. Smart technologies and controls are becoming increasingly important not only in research and development (R&D) but also in industrial and commercial domains, leading to a steady growth in their application in the building sector. This study examines the literature on SBEMS published between 2010 and 2020 with a systematic approach. It examines the trend with the annual number of the published studies before exploring the classification of publications in terms of factors such as domain of SBEMS, control approaches, smart technologies, and quality attributes. Recent developments around the smart building energy management systems (SBEMS) have focused on features that provide occupants with an interface to monitor, schedule, and modify building energy consumption profiles and allow a utility to participate in a communication grid through demand response programs and automatic self-report outage functionality. The study also explores future research avenues, especially in terms of improvements in privacy and security, and interoperability. It is also suggested that the smart building technologies’ smartness can be improved with the help of solutions such as real-time data monitoring and machine learning

Suggested Citation

  • Muhammad Saidu Aliero & Muhammad Asif & Imran Ghani & Muhammad Fermi Pasha & Seung Ryul Jeong, 2022. "Systematic Review Analysis on Smart Building: Challenges and Opportunities," Sustainability, MDPI, vol. 14(5), pages 1-28, March.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:5:p:3009-:d:764359
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    References listed on IDEAS

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    2. Angelo Massafra & Carlo Costantino & Giorgia Predari & Riccardo Gulli, 2023. "Building Information Modeling and Building Performance Simulation-Based Decision Support Systems for Improved Built Heritage Operation," Sustainability, MDPI, vol. 15(14), pages 1-31, July.
    3. Zhansheng Liu & Xiaotao Sun & Zhe Sun & Liang Liu & Xiaolin Meng, 2023. "The Digital Twin Modeling Method of the National Sliding Center for Intelligent Security," Sustainability, MDPI, vol. 15(9), pages 1-20, April.
    4. Muhammad S. Aliero & Muhammad F. Pasha & David T. Smith & Imran Ghani & Muhammad Asif & Seung Ryul Jeong & Moveh Samuel, 2022. "Non-Intrusive Room Occupancy Prediction Performance Analysis Using Different Machine Learning Techniques," Energies, MDPI, vol. 15(23), pages 1-22, December.
    5. Amjad Almusaed & Ibrahim Yitmen & Asaad Almssad, 2023. "Reviewing and Integrating AEC Practices into Industry 6.0: Strategies for Smart and Sustainable Future-Built Environments," Sustainability, MDPI, vol. 15(18), pages 1-27, September.
    6. Qingchang Chen & Zhuoyang Sun & Wenjing Li, 2023. "Effects of COVID-19 on Residential Planning and Design: A Scientometric Analysis," Sustainability, MDPI, vol. 15(3), pages 1-20, February.

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