Implementation of Condition Monitoring and Predictive Maintenance for Building Sustainability

Authors

  • Ahmad Danial Ahmad Subri School of Housing, Building and Planning, Universiti Sains Malaysia, 11800, Penang, Malaysia
  • Mohd Zailan Suleiman School of Housing, Building and Planning, Universiti Sains Malaysia, 11800, Penang, Malaysia

DOI:

https://doi.org/10.37934/ard.117.3.2333

Keywords:

Condition monitoring predictive maintenance; , energy savings , building components

Abstract

This research explores the role of Condition Monitoring and Predictive Maintenance (CPM) in improving building sustainability. CPM is a technique that uses advanced sensors and data analysis to anticipate and prevent equipment failure, ensuring the system operates smoothly and efficiently. Through real examples, CPM is of benefit, for energy savings, reduced maintenance costs and extending the lifespan of building components. The research methodology outlines the systematic approach mix-method by applying survey questionnaires to the stakeholders in Malaysia and case studies in selected areas. The findings revealed that CPM can lead to significant sustainability gains in the built environment by optimizing resource use and reducing waste. Challenges encountered such as start-up costs and the need for skilled personnel were also discussed. The results also offer recommendations for successful use of CPM. In overall, this research revealed that CPM is a valuable tool for making buildings more sustainable.

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Published

2024-07-16

How to Cite

Ahmad Danial Ahmad Subri, & Mohd Zailan Suleiman. (2024). Implementation of Condition Monitoring and Predictive Maintenance for Building Sustainability. Journal of Advanced Research Design, 117(1), 23–33. https://doi.org/10.37934/ard.117.3.2333
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