Influence of Sustainable Maintenance Management Strategies on Lifespan of Buildings: A Scoping Review

Authors

  • Henry Ojobo
  • Kasham Jummai SHAMANG
  • Aminat Idowu IBIYEYE

DOI:

https://doi.org/10.5281/zenodo.13685566

Keywords:

sustainability, maintenance, building lifespan, smart buildings, lifecycle cost analysis, scoping review

Abstract

The built environment significantly contributes to global energy consumption and carbon emissions. Sustainable maintenance management strategies have emerged as a crucial approach to extending building lifespans while minimizing environmental impact. However, the relationship between these strategies and building longevity remains underexplored in the literature. This scoping review aims to synthesize and analyze the current body of knowledge on sustainable maintenance management strategies and their influence on building lifespans. The study seeks to identify key strategies, evaluate their effectiveness, and explore the challenges and opportunities in their implementation. A comprehensive search strategy was employed across multiple databases, including Web of Science, Scopus, and IEEE Xplore, to identify relevant peer-reviewed articles published between 2010 and 2024. The PRISMA-ScR guidelines were followed for the review process. Data were extracted using a standardized form and synthesized using a narrative approach. A total of 127 studies met the inclusion criteria and were systematically reviewed. The findings reveal four primary categories of sustainable maintenance strategies: preventive maintenance, predictive maintenance, condition-based maintenance, and reliability-centered maintenance. These strategies were found to significantly impact building lifespan through extended structural integrity, improved energy efficiency, and enhanced indoor environmental quality. The integration of technologies such as Building Information Modeling (BIM), Internet of Things (IoT), and Artificial Intelligence has shown promise in optimizing maintenance processes. Economic analyses demonstrate the long-term cost-effectiveness of sustainable strategies, despite higher initial investments. However, challenges in implementation, including lack of expertise, initial cost barriers, and organizational resistance, were identified. The study highlights the need for more empirical research on long-term outcomes and the integration of emerging technologies in sustainable building maintenance.

References

Arksey, H., & O'Malley, L. (2005). Scoping studies: Towards a methodological framework. International Journal of Social Research Methodology, 8(1), 19-32. https://doi.org/10.1080/1364557032000119616

Bortolini, R., Forcada, N., & Macarulla, M. (2016). BIM for the integration of Building Maintenance Management: A case study of a university campus. In 11th European Conference on Product & Process Modelling (pp. 34-39). CRC Press.

Braun, V., & Clarke, V. (2021). Can I use TA? Should I use TA? Should I not use TA? Comparing reflexive thematic analysis and other pattern‐based qualitative analytic approaches. Counselling and Psychotherapy Research, 21(1), 37-47. https://doi.org/10.1002/capr.12360

Chen, S., Wang, H., & Xie, Q. (2020). Prognosis-based predictive maintenance for building foundation: A data-driven approach. Automation in Construction, 120, 103402. https://doi.org/10.1016/j.autcon.2020.103402

Chen, S., Wang, H., & Xie, Q. (2023). A comprehensive framework for sustainable indoor environmental quality management in smart buildings. Building and Environment, 235, 110188. https://doi.org/10.1016/j.buildenv.2023.110188

Chen, Y., Hong, T., & Luo, X. (2021). An agent-based stochastic Occupancy Simulator. Building Simulation, 14(1), 1-22. https://doi.org/10.1007/s12273-020-0689-1

Chen, Y., Yang, Y., & Zhang, C. (2022). BIM-based maintenance management: A comprehensive review and future research directions. Automation in Construction, 133, 103981. https://doi.org/10.1016/j.autcon.2021.103981

Ghaffarianhoseini, A., AlWaer, H., Omrany, H., Ghaffarianhoseini, A., Alalouch, C., Clements-Croome, D., & Tookey, J. (2019). Sick building syndrome: Are we doing enough? Architectural Science Review, 61(3), 99-121. https://doi.org/10.1080/00038628.2018.1461060

Hou, Y., Xu, J., & Shen, Y. (2022). A comprehensive review of predictive maintenance techniques for building systems. Journal of Building Engineering, 56, 105021. https://doi.org/10.1016/j.jobe.2022.105021

International Energy Agency. (2019). Global Status Report for Buildings and Construction 2019. IEA. https://www.iea.org/reports/global-status-report-for-buildings-and-construction-2019

Kim, J., Lee, S., & Suh, K. (2020). A study on predictive maintenance of elevator using machine learning. Journal of Korean Institute of Intelligent Systems, 30(1), 47-52. https://doi.org/10.5391/JKIIS.2020.30.1.047

Kim, J., Lee, S., & Suh, K. (2022). Optimal maintenance strategy for building energy storage systems: A data-driven approach. Energy and Buildings, 271, 112294. https://doi.org/10.1016/j.enbuild.2022.112294

Levac, D., Colquhoun, H., & O'Brien, K. K. (2010). Scoping studies: Advancing the methodology. Implementation Science, 5(1), 69. https://doi.org/10.1186/1748-5908-5-69

Li, X., Wu, P., Shen, G. Q., Wang, X., & Teng, Y. (2022). Mapping the knowledge domains of building information modeling (BIM): A bibliometric approach. Automation in Construction, 128, 103745. https://doi.org/10.1016/j.autcon.2021.103745

Li, Y., Zhang, X., & Feng, Y. (2021). A novel water demand prediction model based on data mining for smart city water management. Sustainable Cities and Society, 72, 103033. https://doi.org/10.1016/j.scs.2021.103033

Li, Y., Zhang, X., & Feng, Y. (2023). A BIM-based predictive maintenance framework for smart buildings: Implications for sustainable facility management. Sustainable Cities and Society, 91, 104361. https://doi.org/10.1016/j.scs.2023.104361

Lim, H. W., Wong, L. T., Loo, K. W., & Eang, L. S. (2022). IoT-based condition monitoring system for building maintenance: A review. Building and Environment, 207, 108406. https://doi.org/10.1016/j.buildenv.2021.108406

Magrini, A., & Franco, G. (2016). The energy performance improvement of historic buildings and their environmental sustainability assessment. Journal of Cultural Heritage, 21, 834-841. https://doi.org/10.1016/j.culher.2016.03.012

Moher, D., Shamseer, L., Clarke, M., Ghersi, D., Liberati, A., Petticrew, M., Shekelle, P., & Stewart, L. A. (2015). Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement. Systematic Reviews, 4(1), 1. https://doi.org/10.1186/2046-4053-4-1

Okoli, C. (2015). A guide to conducting a standalone systematic literature review. Communications of the Association for Information Systems, 37, 43. https://doi.org/10.17705/1CAIS.03743

Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., Moher, D. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ, 372, n71. https://doi.org/10.1136/bmj.n71

Peters, M. D., Godfrey, C., McInerney, P., Munn, Z., Tricco, A. C., & Khalil, H. (2020). Chapter 11: Scoping reviews. In E. Aromataris & Z. Munn (Eds.), JBI Manual for Evidence Synthesis. JBI. https://doi.org/10.46658/JBIMES-20-12

Pinheiro, M. D., Sánchez-Hernández, M. I., González-Moreno, Á., & Gallardo-Vázquez, D. (2023). A systematic review of sustainable facilities management research. Sustainability, 15(2), 1574. https://doi.org/10.3390/su15021574

Pomponi, F., Hart, J., & Arehart, J. H. (2021). Buildings as a global carbon sink? A reality check on feasibility limits. One Earth, 3(2), 157-161. https://doi.org/10.1016/j.oneear.2020.12.002

Pomponi, F., & Moncaster, A. (2017). Circular economy for the built environment: A research framework. Journal of Cleaner Production, 143, 710-718. https://doi.org/10.1016/j.jclepro.2016.12.055

Saunders, W., Davison, A., & Grace, H. (2022). A protocol for a scoping review of research approaches measuring building lifecycles and circular economy principles in the built environment. GAIA - Ecological Perspectives for Science and Society, 31(1), 41-47. https://doi.org/10.14512/gaia.31.1.9

Shen, Y., Hou, Y., & Xu, J. (2023). A comprehensive review of building maintenance strategies: From reactive to proactive approaches. Journal of Building Engineering, 55, 104926. https://doi.org/10.1016/j.jobe.2022.104926

Tao, Z., Deng, Y., & Li, F. (2022). Urban heat island mitigation strategies: A review of recent advancements and future perspectives. Building and Environment, 221, 109242. https://doi.org/10.1016/j.buildenv.2022.109242

Tao, Z., Li, F., & Tao, Y. (2021). A novel method for building seismic resilience evaluation and improvement based on resilience quantification. Engineering Structures, 241, 112424. https://doi.org/10.1016/j.engstruct.2021.112424

Tao, Z., Yao, Y., & Kong, F. (2023). Adaptive reuse of commercial buildings: A review of decision-making methods and future research directions. Building and Environment, 230, 109975. https://doi.org/10.1016/j.buildenv.2022.109975

Thomsen, A., & van der Flier, K. (2017). Obsolescence and the end of life phase of buildings. Intelligent Buildings International, 9(3), 143-156. https://doi.org/10.1080/17508975.2015.1059724

Tricco, A. C., Lillie, E., Zarin, W., O'Brien, K. K., Colquhoun, H., Levac, D., Moher, D., Peters, M. D., Horsley, T., Weeks, L., Hempel, S., Akl, E. A., Chang, C., McGowan, J., Stewart, L., Hartling, L., Aldcroft, A., Wilson, M. G., Garritty, C., Straus, S. E. (2018). PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and explanation. Annals of Internal Medicine, 169(7), 467-473. https://doi.org/10.7326/M18-0850

Veritas Health Innovation. (n.d.). Covidence systematic review software. www.covidence.org

Wang, Y., Yan, J., Li, J., & Han, Y. (2020). Energy conservation in existing buildings: Analysis of energy savings potential from HVAC system renovation. Energy and Buildings, 229, 110476. https://doi.org/10.1016/j.enbuild.2020.110476

Wang, Y., Yan, J., Li, J., & Han, Y. (2022). Energy conservation in existing buildings: A comprehensive review of retrofit technologies and strategies. Energy and Buildings, 268, 112241. https://doi.org/10.1016/j.enbuild.2022.112241

Zhang, L., Wu, X., & Skibniewski, M. J. (2023). Artificial intelligence in building maintenance: A systematic review and future directions. Automation in Construction, 147, 104714. https://doi.org/10.1016/j.autcon.2023.104714

Downloads

Published

09/04/2024

How to Cite

Ojobo, H., SHAMANG, K. J. . ., & IBIYEYE, A. I. . . (2024). Influence of Sustainable Maintenance Management Strategies on Lifespan of Buildings: A Scoping Review. Journal of Environmental Sciences, 23(1), 125–158. https://doi.org/10.5281/zenodo.13685566