Building Energy Efficiency and Internet of Things: Exploring Barriers and Integrating Factors from an African Variant
Authors
Department of Construction Technology and Quantity Surveying, Faculty of Built and Natural Environment, Kumasi Technical University (Ghana)
Department of Urban and Regional Planning, College of Design, Construction and Planning, University of Florida, Gainesville (USA)
Department of Works Directorate, Kumasi Technical University (Ghana)
Florida State University, PhD in Geography, Department of Geography Tallahassee, Florida (USA)
Department of Interior Design and Materials Technology, Faculty of Built and Natural Environment, Kumasi Technical University (Ghana)
Article Information
DOI: 10.51244/IJRSI.2026.1306000422
Subject Category: Construction
Volume/Issue: 13/6 | Page No: 5691-5709
Publication Timeline
Submitted: 2026-06-29
Accepted: 2026-07-04
Published: 2026-07-15
Abstract
This study examines the barriers to adopting Internet of Things technologies to improve building energy efficiency in Ghana. The study addresses the increasing energy demand in the built environment and the need for intelligent, data-driven systems that support real-time monitoring, energy optimisation and sustainable building performance. A quantitative cross-sectional survey design was adopted, targeting building managers, facility managers, energy managers and technical professionals involved in building energy management. Data were collected from 150 respondents using a structured questionnaire and analysed using descriptive statistics, including frequencies, mean scores, standard deviations, and rankings. The findings revealed that all identified barriers recorded mean scores above 4.00, indicating strong agreement that they significantly constrain IoT adoption in buildings. The most critical barriers were high initial implementation costs, stakeholder unawareness, and inadequately skilled professionals. Other important barriers included insufficient financial incentives, limited qualified suppliers or manufacturers, weak legal and institutional support, lack of expertise, slow return on investment, compatibility issues and limitations in existing building designs. The study concludes that IoT adoption in Ghana’s building sector depends not only on technological availability but also on financial support, stakeholder education, professional capacity building, regulatory clarity, supplier development and smart-ready building design. The findings provide evidence for policymakers, building owners, and industry practitioners seeking to advance intelligent and energy-efficient buildings in developing-country contexts.
Keywords
Building, Energy Efficiency, Internet of Things, Ghana.
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References
1. Afful, A.E., Ayarkwa, J., Acquah, G.K.K., Baah, B., Adjei, E.K., Oduro, S., Asiedu-Ampem, G., 2025. Towards the delivery of environmentally sustainable buildings in Ghana: Drivers of Capacity building. International Journal of Construction Education and Research 1–26. https://doi.org/10.1080/15578771.2025.2457322 [Google Scholar] [Crossref]
2. Agyekum, K., Kissi, E., Danku, J.C., 2020. Professionals’ views of vernacular building materials and techniques for green building delivery in Ghana. Scientific African 8, e00424. https://doi.org/10.1016/j.sciaf.2020.e00424 [Google Scholar] [Crossref]
3. Ahmetoglu, S., Cob, Z.C., Ali, N., 2023. Internet of Things Adoption in the Manufacturing Sector: A Conceptual Model from a Multi-Theoretical Perspective. Applied Sciences 13, 3856. https://doi.org/10.3390/app13063856 [Google Scholar] [Crossref]
4. Al-Sulami, Z.A., Ali, N., Ramli, R., Lu, S., 2024. Towards a comprehensive understanding of blockchain technology adoption in various industries in developing and emerging economies: a systematic review. Cogent Business & Management 11. https://doi.org/10.1080/23311975.2023.2294875 [Google Scholar] [Crossref]
5. Amoako, S., Andoh, F.K., Asmah, E.E., 2023. Household Structure and Electricity Consumption in Ghana. Energy Policy 182, 113767. https://doi.org/10.1016/j.enpol.2023.113767 [Google Scholar] [Crossref]
6. Amos-Abanyie, S., Akuffo, F.O., Quagrain, V., 2009. Unveiling energy-saving techniques for cooling in residential buildings in Ghana. International Journal of Ventilation 8, 23–35. https://doi.org/10.1080/14733315.2006.11683829 [Google Scholar] [Crossref]
7. Awada, M., Becerik-Gerber, B., Hoque, S., O’Neill, Z., Pedrielli, G., Wen, J., Wu, T., 2020. Ten questions concerning occupant health in buildings during normal operations and extreme events, including the COVID-19 pandemic. Building and Environment 188, 107480. https://doi.org/10.1016/j.buildenv.2020.107480 [Google Scholar] [Crossref]
8. Berardi, U., 2016. A cross-country comparison of the building energy consumption and its trends. Resources Conservation and Recycling 123, 230–241. https://doi.org/10.1016/j.resconrec.2016.03.014 [Google Scholar] [Crossref]
9. Bouckaert, S., Pales, A. F., McGlade, C., Remme, U., Wanner, B., Varro, L., ... & Spencer, T. (2021). Net zero by 2050: A roadmap for the global energy sector. [Google Scholar] [Crossref]
10. Brar, P.S., Shah, B., Singh, J., Ali, F., Kwak, D., 2022. Using the Modified Technology Acceptance Model to evaluate the adoption of a proposed IoT-Based Indoor Disaster Management software tool by rescue workers. Sensors 22, 1866. https://doi.org/10.3390/s22051866 [Google Scholar] [Crossref]
11. Braun, V., Clarke, V., 2006b. Using thematic analysis in psychology. Qualitative Research in Psychology 3, 77–101. https://doi.org/10.1191/1478088706qp063oa [Google Scholar] [Crossref]
12. Chan, A.P.C., Darko, A., Olanipekun, A.O., Ameyaw, E.E., 2017. Critical barriers to the adoption of green building technologies in developing countries: The case of Ghana. Journal of Cleaner Production 172, 1067–1079. https://doi.org/10.1016/j.jclepro.2017.10.235 [Google Scholar] [Crossref]
13. Chaudhry, A.M., Ghorbaniasl, G., Hachez, J., Chicherin, S., Bram, S., 2024. Improving the Potential of Fifth-generation District Heating and Cooling Networks through Robust Design and Operational Optimisation under Future Energy Market and Demand Uncertainties. Energy and Buildings 325, 114998. https://doi.org/10.1016/j.enbuild.2024.114998 [Google Scholar] [Crossref]
14. Chen, G., Lu, S., Zhou, S., Tian, Z., Kim, M. K., Liu, J., & Liu, X. (2025). A Systematic Review of Building Energy Consumption Prediction: From Perspectives of Load Classification, Data-Driven Frameworks, and Future Directions. Applied Sciences, 15(6), 3086. https://doi.org/10.3390/buildings13020532 [Google Scholar] [Crossref]
15. Davis, F.D., 1989. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly 13, 319. https://doi.org/10.2307/249008 [Google Scholar] [Crossref]
16. Debnath, K.B., Mourshed, M., 2018. Challenges and gaps for energy planning models in the developing-world context. Nature Energy 3, 172–184. https://doi.org/10.1038/s41560-018-0095-2 [Google Scholar] [Crossref]
17. Dritsas, E., Trigka, M., 2025. A survey on Cybersecurity in IoT. Future Internet 17, 30. https://doi.org/10.3390/fi17010030 [Google Scholar] [Crossref]
18. Ekung, S., Opoku, A., Asuquo, C., 2024. Contemporary issues in construction affecting the realisation of the SDGs in developing countries, in: Edward Elgar Publishing eBooks. pp. 523–539. https://doi.org/10.4337/9781035300037.00041 [Google Scholar] [Crossref]
19. Energy Commission of Ghana. (2023). 2023 National Energy Statistics. Energy Commission of Ghana. [Google Scholar] [Crossref]
20. Energy Commission of Ghana. (2024). 2024 energy outlook mid-year report. Energy Commission of Ghana. https://www.energycom.gov.gh/ [Google Scholar] [Crossref]
21. Global Alliance for Buildings and Construction. (2024). Climate Action Roadmaps for Buildings and Construction, Ghana. [Google Scholar] [Crossref]
22. Hafez, F.S., Sa’di, B., Safa-Gamal, M., Taufiq-Yap, Y.H., Alrifaey, M., Seyedmahmoudian, M., Stojcevski, A., Horan, B., Mekhilef, S., 2022. Energy Efficiency in Sustainable Buildings: A Systematic Review with Taxonomy, Challenges, Motivations, Methodological Aspects, Recommendations, and Pathways for Future Research. Energy Strategy Reviews 45, 101013. https://doi.org/10.1016/j.esr.2022.101013 [Google Scholar] [Crossref]
23. Hakawati, B., Mousa, A., Draidi, F., 2024. Smart energy management in residential buildings: the impact of knowledge and behaviour. Scientific Reports 14. https://doi.org/10.1038/s41598-024-51638-y [Google Scholar] [Crossref]
24. International Energy Agency. (2021). Net zero by 2050: A roadmap for the global energy sector. OECD Publishing. [Google Scholar] [Crossref]
25. Islam, F., Ahmed, I., Mihet-Popa, L., 2025. Development and Testing of an IoT Platform with Smart Algorithms for Building Energy Management Systems. Energy and Buildings 115970. https://doi.org/10.1016/j.enbuild.2025.115970 [Google Scholar] [Crossref]
26. Jegede, O.E., Taki, A., 2021. Optimisation of building envelopes using indigenous materials to achieve thermal comfort and affordable housing in Abuja, Nigeria. International Journal of Building Pathology and Adaptation 40, 219–247. https://doi.org/10.1108/ijbpa-01-2021-0009 [Google Scholar] [Crossref]
27. Khan, Shahbaz, Singh, R., Khan, Samiya, Ngah, A.H., 2023. Unearthing the barriers of Internet of Things adoption in the food supply chain: A developing country perspective. Green Technologies and Sustainability 1, 100023. https://doi.org/10.1016/j.grets.2023.100023 [Google Scholar] [Crossref]
28. Kitcharoen, K. (2024). Examining Organisational Factors Impacting IoT Implementation, Production, Services, and Performance in the Thai Manufacturing and Distribution Sector. Journal of Distribution Science, 22(4), 23-35. [Google Scholar] [Crossref]
29. Kronlid, C., Brantnell, A., Elf, M., Borg, J., Palm, K., 2024. Sociotechnical analysis of factors influencing IoT adoption in healthcare: A systematic review. Technology in Society 78, 102675. https://doi.org/10.1016/j.techsoc.2024.102675 [Google Scholar] [Crossref]
30. Kuaban, G.S., Nkemeni, V., Nwobodo, O.J., Czekalski, P., Mieyeville, F., 2024. Internet of Things Adoption in Technology Ecosystems within the Central African Region: The Case of Silicon Mountain. Future Internet 16, 376. https://doi.org/10.3390/fi16100376 [Google Scholar] [Crossref]
31. Kulkarni, P., Pradeep, B., Yusuf, R., Alexander, H., 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, 1406. https://doi.org/10.3390/s24051406 [Google Scholar] [Crossref]
32. Kumar, V., Sharma, K.V., Kedam, N., Patel, A., Kate, T.R., Rathnayake, U., 2024. A comprehensive review of smart and sustainable agriculture using IoT technologies. Smart Agricultural Technology 8, 100487. https://doi.org/10.1016/j.atech.2024.100487 [Google Scholar] [Crossref]
33. Lawal, K., Rafsanjani, H.N., 2021. Trends, benefits, risks, and challenges of IoT implementation in residential and commercial buildings. Energy and Built Environment 3, 251–266. https://doi.org/10.1016/j.enbenv.2021.01.009 [Google Scholar] [Crossref]
34. Li, F., Peng, T., Chen, J., Wu, J., Cao, J., Luo, H., ... & Wang, Z. (2025). Prediction and strategies of buildings’ energy consumption: A review of modelling approaches and energy-saving technologies. International Journal of Green Energy, 1-36. https://doi.org/10.3390/su16177805 [Google Scholar] [Crossref]
35. Loriot. (2024). Is language a barrier to IoT adoption in developing countries? Loriot Blog. [Google Scholar] [Crossref]
36. Massoud, M., Kineber, A., Elshaboury, N., Abunada, Z., Arashpour, M., Alatroush, M., Mostafa, S., Alhusban, M., 2025. Identifying and Assessing Barriers to Internet of Things Implementation for Sustainable Building Projects: An SEM-ANN Approach. KSCE Journal of Civil Engineering 100310. https://doi.org/10.1016/j.kscej.2025.100310 [Google Scholar] [Crossref]
37. Nejat, P., Jomehzadeh, F., Taheri, M.M., Gohari, M., Majid, M.Z.Abd., 2014. A global review of energy consumption, CO2 emissions and policy in the residential sector (with an overview of the top ten CO 2 emitting countries). Renewable and Sustainable Energy Reviews 43, 843–862. https://doi.org/10.1016/j.rser.2014.11.066 [Google Scholar] [Crossref]
38. Norouzzadeh, A.M., Toufighi, S.P., Vang, J., Edalatipour, A., 2025. Adoption of Internet of Things in Residential Smart Homes: A structural equation modelling approach. Sustainable Futures 100665. https://doi.org/10.1016/j.sftr.2025.100665 [Google Scholar] [Crossref]
39. Okonta, D.E., 2023. Investigating the impact of building materials on energy efficiency and indoor cooling in Nigerian homes. Heliyon 9, e20316. https://doi.org/10.1016/j.heliyon.2023.e20316 [Google Scholar] [Crossref]
40. Parra-Sánchez, D.T., 2024. Exploring the Internet of Things adoption in the Fourth Industrial Revolution: a comprehensive scientometric analysis. Deleted Journal. https://doi.org/10.1108/jidt-06-2024-0013 [Google Scholar] [Crossref]
41. Perera, U.S., Weerasuriya, A.U., Zhang, X., Ruparathna, R., Tharaka, M.G.I., Lewangamage, C.S., 2024. Selecting suitable passive design strategies for residential high-rise buildings in tropical climates to minimise building energy demand. Building and Environment 267, 112177. https://doi.org/10.1016/j.buildenv.2024.112177 [Google Scholar] [Crossref]
42. Poyyamozhi, M., Murugesan, B., Rajamanickam, N., Shorfuzzaman, M., Aboelmagd, Y., 2024. IOT—A Promising solution to energy management in smart Buildings: A Systematic Review, applications, barriers, and future scope. Buildings 14, 3446. https://doi.org/10.3390/buildings14113446 [Google Scholar] [Crossref]
43. Rogers, E. M. (2003). Diffusion of innovations (5th ed.). Free Press. [Google Scholar] [Crossref]
44. Rogers, E.M., 1995. Diffusion of Innovations: Modifications of a model for telecommunications, in: Springer eBooks. pp. 25–38. https://doi.org/10.1007/978-3-642-79868-9_2 [Google Scholar] [Crossref]
45. Santos, M.M., Ferreira, A.V., Lanzinha, J.C.G., 2023. Sustainable vernacular architecture to improve thermal comfort in African countries, in: Lecture Notes in Civil Engineering. pp. 564–575. https://doi.org/10.1007/978-3-031-48461-2_48 [Google Scholar] [Crossref]
46. Satyro, W.C., Contador, J.C., Gomes, J.A., De Paula Monken, S.F., Barbosa, A.P., Bizarrias, F.S., Contador, J.L., Silva, L.S., Prado, R.G., 2024. Technology-Organization-External-Sustainability (TOES) Framework for Technology Adoption: Critical Analysis of Models for Industry 4.0 Implementation Projects. Sustainability 16, 11064. https://doi.org/10.3390/su162411064 [Google Scholar] [Crossref]
47. Sharma, Amit, Sharma, Ashutosh, Tselykh, A., Bozhenyuk, A., Choudhury, T., Alomar, M.A., Sánchez-Chero, M., 2023. Artificial intelligence and Internet of Things-oriented sustainable precision farming: Towards modern agriculture. Open Life Sciences 18. https://doi.org/10.1515/biol-2022-0713 [Google Scholar] [Crossref]
48. Taboada-Orozco, A., Yetongnon, K., Nicolle, C., 2024. Smart Buildings: A Comprehensive Systematic Literature Review on Data-Driven Building Management Systems. Sensors 24, 4405. https://doi.org/10.3390/s24134405 [Google Scholar] [Crossref]
49. Tomatzky, L. G., & Fleischer, M. (1990). The processes of technological innovation, Lexington Books. Lexington, MA, 1990. [Google Scholar] [Crossref]
50. Tondro, M., Jahanbakht, M., Ozay, D., 2025. Enhancing IoT technology acquisition in Emerging Economies: Insights and recommendations using an analytical case Study review of IoT startups. Businesses 5, 20. https://doi.org/10.3390/businesses5020020 [Google Scholar] [Crossref]
51. Twerefou, D.K., Abeney, J.O., 2020. Efficiency of household electricity consumption in Ghana. Energy Policy 144, 111661. https://doi.org/10.1016/j.enpol.2020.111661 [Google Scholar] [Crossref]
52. Umana, N.A.U., Garba, N.B.M.P., Ologun, N.A., Olu, N.J.S., Umar, N.M.O., 2024. The impact of indigenous architectural practices on modern urban housing in Sub-Saharan Africa. World Journal of Advanced Research and Reviews 23, 422–433. https://doi.org/10.30574/wjarr.2024.23.3.2703 [Google Scholar] [Crossref]
53. United Nations Environment Programme & Global Alliance for Buildings and Construction (2025). Not just another brick in the wall: The solutions exist - Scaling them will build on progress and cut emissions fast. Global Status Report for Buildings and Construction 2024/2025. [Google Scholar] [Crossref]
54. Venkatesh, N., Morris, N., Davis, N., Davis, N., 2003. User acceptance of information Technology: toward a unified view. MIS Quarterly 27, 425. https://doi.org/10.2307/30036540 [Google Scholar] [Crossref]
55. Waiganjo, N.I.N., Ziezo, N.M.M., Osakwe, N.J., 2025. Exploring the emerging technologies for inclusive growth in Africa. Engineering Science & Technology Journal 6, 256–265. https://doi.org/10.51594/estj.v6i6.1955 [Google Scholar] [Crossref]
56. Wang, J., Luo, H., Pena-Mora, F., Zhou, W., Fang, W., 2024. An integrated BIM-IoT framework for Real-Time Quality monitoring in a construction site. Journal of Construction Engineering and Management 150. https://doi.org/10.1061/jcemd4.coeng-14984 [Google Scholar] [Crossref]
57. Westergren, U.H., Mähler, V., Jadaan, T., 2024. Enabling digital transformation: Organisational implementation of the Internet of Things. Information & Management 61, 103996. https://doi.org/10.1016/j.im.2024.103996 [Google Scholar] [Crossref]
58. ІЕА, I. (2023). Scaling Up Private Finance for Clean Energy in Emerging and Developing Economies Report. June. [Google Scholar] [Crossref]
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