Systematic Review Analysis on Smart Building: Challenges and Opportunities

Muhammad Saidu Aliero, Muhammad Asif, Imran Ghani, Muhammad Fermi Pasha and Seung Ryul Jeong
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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
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

Sustainability, 2022, vol. 14, issue 5, 1-28

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

Keywords: smart building energy management; smart thermostat; smart home; thermal comfort control; smart energy control; HVAC system (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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