Supplementary Files
Keywords
sustainable development
energy saving
cost efficient
green building
construction technology
Abstract
This project is carried out to study the evaluation of influencing factors for sustainable development with intelligent building systems in private universities in Klang Valley. An intelligent building system can be defined as a building automation system that is integrated into the physical plant and building facilities and linked with the corporate systems to ensure the building management system can be brought up to date on the building operating cost, and energy efficiencies of the building. Questionnaire surveys were distributed to collect the data. Descriptive analyses were used to analyse the data using Statistical Package for Social Science (SPSS). The study showed that the main barriers to implementing Intelligence Building System (IBS) were the high initial cost. The benefits of using IBS were reduced waste, pollution, and environmental degradation. The potential chances in implementing IBS were using sustainable building materials, and recycling and reuse of materials. The ways to deal with these issues are to learn, understand, and accept, then apply the intelligent building system in the campus and try to keep up with the latest technology and innovation to increase the quality of life and productivity of the people like lecturers, students, admin staffs who are using the campus every day.
References
Chasta, R., Singh, R., Gehlot, A., Mishra, R. G., & Choudhury, S. (2016). A Smart Building Automation System. International Journal of Smart Home, 10(8), 91–98.
De Angelis, E., Ciribini, A. L. C., Tagliabue, L. C., & Paneroni, M. (2015). The Brescia Smart Campus Demonstrator. Renovation toward a zero Energy Classroom Building. Procedia Engineering, 118, 735–743.
Kuo, C. F. J., Lin, C. H., & Hsu, M. W. (2016). Analysis of intelligent green building policy and developing status in Taiwan. Energy Policy, 95, 291–303.
Li, R. Y. M., Li, H. C. Y., Mak, C. K., & Tang, T. B. (2016). Sustainable Smart Home and Home Automation: Big Data Analytics Approach. International Journal of Smart Home, 10(8), 177–198.
Mattern, F., Staake, T., & Weiss, M. (2010). ICT for green - How computers can help us to conserve energy. Proceedings of the E-Energy 2010 - 1st Int’l Conf. on Energy-Efficient Computing and Networking, June, 1–10.
Mayer, B., Killian, M., & Kozek, M. (2017). Hierarchical model predictive control for sustainable building automation. Sustainability (Switzerland), 9(2), 1–20.
McCormick, T. H., Lee, H., Cesare, N., Shojaie, A., & Spiro, E. S. (2017). Using Twitter for Demographic and Social Science Research: Tools for Data Collection and Processing. Sociological Methods and Research, 46(3), 390–421.
McFarlane, C., & Söderström, O. (2017). On alternative smart cities: From a technology-intensive to a knowledge-intensive smart urbanism. City, 21(3–4), 312–328.
Omar, O. (2018). Intelligent building, definitions, factors and evaluation criteria of selection. Alexandria Engineering Journal, 57(4), 2903–2910.
Richard P. Bagozzi, Y. Y. and L. W. P. (2017). Bogazzi_Assesing Construct Validity in Organiational Research. Administrative Science Quarterly, 36(3), 421–458.
Turgut, Z., Aydin, G. Z. G., & Sertbas, A. (2016). Indoor Localization Techniques for Smart Building Environment. Procedia Computer Science, 83, 1176–1181.
Xu, Z., Guan, X., Jia, Q. S., Wu, J., Wang, D., & Chen, S. (2012). Performance analysis and comparison on energy storage devices for smart building energy management. IEEE Transactions on Smart Grid, 3(4), 2136–2147.
Yu, J., Dang, B., Clements-Croome, D., & Xu, S. (2012). Sustainability assessment indicators and methodology for intelligent buildings. Advanced Materials Research, 368–373(June), 3829–3832.
Yu, M., & Jiang, H. (2020). Application of computer internet of things technology in building intelligent system. Journal of Physics: Conference Series, 1648(2).
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