The Nexus Between Smart Building Technologies and Energy Optimization in Nigeria
Drivers, Barriers, and Policy Implications
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Abstract
This study analyzes the connection between energy optimization and smart building technologies (SBTs) in Nigeria, focusing on the factors that affect their adoption, such as regulatory implications, challenges, and incentives. Key stakeholders in the construction industry were administered questionnaires as part of a mixed-methods approach to gather data. The findings indicate that despite the significant potential of SBTs to conserve energy, numerous barriers remain, including high implementation costs, complex technology, and a lack of qualified personnel. The study further emphasizes the critical role of regulatory frameworks in the adoption of SBTs, highlighting that effective policies are necessary to tackle existing challenges. Additionally, it reveals a strong correlation between the willingness to adopt SBTs and their perceived benefits, suggesting that enhanced awareness and education could increase acceptance. Based on these findings, the report recommends establishing training programs to develop a skilled workforce and creating financial incentives to alleviate cost barriers. Overall, the successful integration of SBTs into Nigeria's built environment could significantly advance sustainability and energy efficiency goals while addressing the urgent issues related to the country's energy consumption.
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Abubakar, I. R., et al. (2021). Africa's smart cities and urban energy: Opportunities and challenges. Social Science and Energy Research, 72, 101862.
Adebayo, A. and Ede, A. (2020). Smart building technologies' effects on Nigerian policy. International Journal of Sustainable Development & World Ecology, 27(3), 220-229.
Agyekum, E. B., et al. (2022). Opportunities for Africa's sustainable energy transition through smart building technology. Renewable Energy, 188, 463–478.
Ahmad, M. W., et al. (2016). Evaluation of machine learning techniques for predicting building energy use. Reviews of Sustainable and Renewable Energy, 81, 1484–1497.
Ajayi, S. and Associates (2022). The contribution of training and education to the advancement of energy-efficient construction methods in Nigeria. Science and Technology in Energy Education, 36(2), 135-146.
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T
Akinjare, O., and Ayo, A. (2021). Financial obstacles to the implementation of green buildings in poorer nations. Green Building Journal, 16(1), 15-30.
Aliyu, A. S., et al. (2018). Nigerian energy development initiatives and policies pertaining to energy efficiency. Reviews of Renewable and Sustainable Energy, 87, 117–127.
Bell, and colleagues (2018). Methods of business research. Oxford University Press.
Braun, V., and Clarke, V. (2016). In psychology, theme analysis. Psychology: Qualitative Research, 3(2), 77-101.
Bryman, A., and Bell, E. (2015). Methods of business research. Oxford University Press.
Creswell, J. W. (2019). Research design: combined methodologies, qualitative, and quantitative techniques. SAGE Books.
Dahiru, and colleagues (2019). An African viewpoint on energy use and conservation in the built environment. Buildings and Energy, 66, 496–501.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008
Ebohon, O. J., et al. (2016). Sustainable energy in residential areas in Nigeria. Energy Policy, 87, 1–7.
Giwa, A., et al. (2017). Nigerian energy supply challenges and solutions for sustainability. Reviews of Renewable and Sustainable Energy, 78, 70–80.
International Energy Agency (IEA). (2019). Africa's Energy Prospects for 2019. OECD/IEA.
Jain, and colleagues (2020). An international study of smart building technologies for a sustainable future. Building Engineering Journal, 32, 101823.
Lawal, O. O., et al. (2019). An analysis of the potential of green building technology for energy efficiency in Nigerian public buildings. Energy Efficiency, 13(2), 291-305.
Lawal, O. O., et al. (2019). An investigation on the possibilities of building automation and retrofitting for energy efficiency in Nigerian public buildings. Energy Procedia, 157, 511–518.
Marshall, M. N. (2016). Qualitative research sampling. Family Practice, 13(6), 522-526.
Odeh, A., et al. (2022). The Nigerian real estate industry's adoption of smart buildings is influenced by economic reasons. Building Performance Journal, 13(4), 197-210.
Ogbemi, M. S., et al. (2021). An overview of the opportunities and difficulties associated with Nigeria's renewable energy potential. Renewable Energy, 183, 573-583.
Olanrewaju, A. and Associates (2021). Nigerian workforce development for energy efficiency: obstacles and remedies. Energy Efficiency, 14(2), 215-230.
Oluwadamilola, A., et al. (2021). Technological solutions for smart buildings in Nigeria that manage energy sustainably. Smart Energy, 1(1), 29–38.
Onuoha, L. (2020). Nigerian smart building technology adoption: obstacles and opportunities. Smart Cities, 2(1), 30-42.
Rogers, E. M. (2003). Diffusion of innovations (5th ed.). Free Press.
Saunders, M. N. K., et al. (2015). Research techniques for students studying business. Pearson.
Silverman, D. (2020). Qualitative investigation. SAGE Books.
Tashakkori, A., and Teddlie, C. (2010). Using both qualitative and quantitative methods is known as mixed methodology. SAGE Books.
United Nations (UN). (2015). Sustainable Development Goal 7: Accessible and Sustainable Energy. UN.
Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186–204. https://doi.org/10.1287/mnsc.46.2.186.11926
Wang, X., et al. (2021). The adoption of smart buildings in the US and Japan is compared. Journal of Smart Cities, 12(4), 513-526.
Yin, R. K. (2017). Methods and design of case study research and applications. SAGE Books.
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