![]() |
customer@davidpublishing.com |
![]() |
3275638434 |
![]() |
![]() |
| Paper Publishing WeChat |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
An Integrated Multi-Attribute Score Model for Evaluating the Performance of Smart Building Systems
Peter Oluwole Akadiri
Full-Text PDF
XML 23 Views
DOI:10.17265/1934-7359/2026.04.002
College of Engineering, Architectural Engineering Program, University of Buraimi, P.C. 512, Al-Buraimi, Sultanate of Oman
The assessment of building performance plays a crucial role in achieving sustainability objectives within the construction industry. In recent years, stakeholders have been increasingly focused on evaluating smart buildings (SBs) performance. Numerous methods, criteria, and tools have been developed to measure performance, but most of them primarily concentrate on the overall building level, neglecting the system level of buildings. To tackle this complexity and promote sustainability, it is essential to establish systematic, comprehensive, and practical approaches for evaluating smart building performance. This study proposes an evaluation model for smart buildings performance, encompassing 24 core performance indicators at both the whole building and system levels. The relevance and validity of these indicators were evaluated through a questionnaire survey, along with input from sustainable building experts. This research is part of a broader project aimed at developing a decision support system to assess sustainable building performance and enhance the sustainability of building projects.
smart buildings; building performance; performance indicators, evaluation model.
Peter Oluwole Akadiri. (2026). An Integrated Multi-Attribute Score Model for Evaluating the Performance of Smart Building Systems, April 2026, Vol. 20, No. 4, 147-153.
[1] Kulkarni, P., Pradeep, B., Yusuf, R., Alexander, H., and ElSayed, H. 2024. “Enhancing Occupant Comfort and Building Sustainability: Lessons From an Internet of Things-Based Study on Centrally Controlled Indoor Shared Spaces in Hot Climatic Conditions.” Sensors 24 (5): 1406.
[2] Froufe, M. M., Chinelli, C. K., Guedes, A. L. A., Haddad, A. N., Hammad, A. W., and Soares, C. A. P. 2020. “Smart Buildings: Systems and Drivers.” Buildings 10 (9): 153.
[3] Merabet, G. H., Essaaidi, M., Haddou, M. B., Qolomany, B., Qadir, J., Anan, M., and Benhaddou, D. 2021. “Intelligent Building Control Systems for Thermal Comfort and Energy-Efficiency: A Systematic Review of Artificial Intelligence-Assisted Techniques.” Renewable and Sustainable Energy Reviews 144: 110969.
[4] Bajer, M. 2018. “IoT for Smart Buildings — Long Awaited Revolution or Lean Evolution.” In: 2018 IEEE 6th International Conference on Future Internet of Things and Cloud (FiCloud), Barcelona, Spain, 2018, pp. 149-154.
[5] Ghaffarianhoseini, A., Berardi, U., AlWaer, H., Chang, S., Halawa, E., Ghaffarianhoseini, A., and Clements-Croome, D., 2016. “What Is an Intelligent Building? Analysis of Recent Interpretations From an International Perspective.” Architectural Science Review 59 (5): 338-357.
[6] Qiang, G., Tang, S., Hao, J., Di Sarno, L., Wu, G., and Ren, S. 2023. “Building Automation Systems for Energy and Comfort Management in Green Buildings: A Critical Review and Future Directions.” Renewable and Sustainable Energy Reviews 179: 113301.
[7] Hassan, Q., Sarhan, N., Awwad, E. M., Al-Musawi, T. J., Ghazaly, N. M., Viktor, P., and Barakat, M. 2024. “Optimizing Smart Building Energy Systems for Sustainable Living: A Realistic Approach to Enhance Renewable Energy Consumption and Reduce Emissions in Residential Buildings.” Energy and Buildings: 114354.
[8] Al Mughairi, M., Beach, T., and Rezgui, Y., 2023. “Post-Occupancy Evaluation for Enhancing Building Performance and Automation Deployment.” Journal of Building Engineering 77: 107388.
[9] Apanaviciene, R., Urbonas, R., Fokaides, P. A. 2020. “Smart Building Integration into a Smart City: Comparative Study of Real Estate Development.” Sustainability 12 (22): 9376.
[10] Ozadowicz, A. 2024. “Generic IoT for Smart Buildings and Field-Level Automation — Challenges, Threats, Approaches, and Solutions.” Computers 13 (2): 45.
[11] Akadiri, P. O. 2015. “Understanding Barriers Affecting the Selection of Sustainable Materials in Building Projects.” Journal of Building Engineering 4: 86-93.




