Ranking of Smart Building Design Factors with Efficient Energy Management Systems and Renewable Resources

Abstract

This study aims to rank the design factors of smart buildings with efficient energy management systems and renewable resources. The research is applied in nature in terms of its objective, and descriptive-survey-based in terms of data collection. The study population comprised all academic faculty members in the field of architecture. Based on the collected information, approximately 112 architecture faculty members were included, and given the small sample size, a census approach was used, meaning the sample size was equal to the population. After distributing and collecting the questionnaires, 93 were completed and analyzed. A researcher-made questionnaire was employed, consisting of two sections: the first included personal details (age, gender, marital status, education, etc.), and the second was dedicated to ranking the design factors of smart buildings with efficient energy management systems and renewable resources. The questionnaire was structured on a 7-point Likert scale. To ensure the face and content validity of the questions, feedback was obtained from several architecture professors specializing in the field. Additionally, the construct validity of the questionnaire was confirmed through exploratory factor analysis. The results showed that six factors had eigenvalues greater than one and remained in the analysis. The study found that among the design factors examined, the lighting system, fire alarm system, and temperature and humidity sensors emerged as the most influential in enhancing smart building efficiency.

Keywords

• Smart buildings
• Smart systems
• Efficient energy management
• Renewable resources

References

1. Adelekan, O. I. (2024). Energy Transıtıon Polıcıes: A Global Revıew Of Shifts Towards Renewable Sources. Engineering Science & Technology Journal, pp.272-287.
2. Adewnmi, A. O.-l. (2024). Sustainable Energy solutions and Climate Change: A policy review of emerging trends and global responses. World Journal of Advanced Research and Reviews, 21(2), 408-420.
3. Ai, H. Z. (2024). The Impact of Smart City Construction on Labour Spatial Allocation: Evidence from China. Applied Economics, 56(19), 2337-2356.
4. Chen, H. D. (2024). Does City Smartness Improve Equality? Research on the Impact of Smart City Construction on Income Inequality. Pacific Economic Review, Pacific Economic.
5. Cong, Y. &. (2024). Integration of Smart City Technologies with Advanced Predictive Analytics for Geotechnical Investigations. . Smart Cities, 7(3), 1089-1108.
6. Jebaraj, L. K. (2023). Smart City: Concepts, Models, Technologies and Applications. Smart Cities, (pp. 1-20).
7. José, R. &. (2024). A Review on Key Innovation Challenges for Smart City Initiatives. Smart Cities, 7(1), 141-162.
8. Kolhe, R. V. (2023). Smart city Implementation Based on Internet of Things integrated with Optimization Technology. Measurement: Sensors, 27, 100789.

9. Kuzior, A. (2024). Smart City Conceptual Framework in the Context of Achieving Sustainable Development Goals. Management Systems in Production Engineering, 32(2), 156-161.
10. Lacson, J. J. (2023). Smart City Assessment in Developing Economies: A Scoping Review. Smart Cities, 6(4), 1744-1764.
11. Lim, Y. E. (2024). What is the Impact of Smart City Development? Empirical Evidence from a Smart City Impact Index. Urban Governance, 4(1), 47-55.
12. Nyathani, R. (2023). AI-Driven HR Analytics: Unleashing the Power of HR Data Management. Journal of Technology and Systems, 5(2), 15-26.
13. Sharifi, A. A.-G. (2024). Smart Cities and Sustainable Development Goals (SDGs): A Systematic Literature Review of Co-benefits and Trade-offs. Cities, 146, 104659.
14. Stamopoulos, D. D. (2024). Getting Smart or Going Green? Quantifying the Smart City Industry's Economic Impact and Potential for Sustainable Growth . Cities, 144, 104612.
15. Stecyk, A. &. (2023). Harnessing the Power of Artificial Intelligence for Collaborative Energy Optimization Platforms. Energies, 16(13), 5210.
16. Wolniak, R. &. (2024). Artificial Intelligence in Smart Cities—Applications, Barriers, and Future Directions: A Review. Smart Cities, 7(3), 1346-1389.
17. Zaman, M. M. (2024). OpenCyberCity Testbed's Recent Progress in Smart City Management. In 2024 IEEE International Conference on Smart Computing (SMARTCOMP) , 240-242.
18. Zwick, A. &. (2024). Examining the Smart City Generational Model: Conceptualizations, Implementations, and Infrastructure Canada's Smart City Challenge. Urban Affairs Review, 60(4), 1229-1253.