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OU Construction Science Professor Publishes Research on Digital Twins for Predictive Maintenance in Buildings

Kofi Asare with the logos for the Journal of Building Engineering and the American Society of Civil Engineers.

OU Construction Science Professor Publishes Research on Digital Twins for Predictive Maintenance in Buildings


Date

October 17, 2024

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OU Construction Science assistant professor and principal investigator of the Construction Innovation and Analytics Lab (CInnaLAB), Dr. Kofi Asare, has published two studies that advance the application of data-driven analytics and Digital Twins for predictive maintenance in buildings. His research highlights the potential of predictive maintenance to save 8% to 40% in maintenance costs, reduce operational inefficiencies and optimize energy consumption in buildings. 

Dr. Asare’s work, “Defining a System Architecture for Operational Digital Twins for Predictive Maintenance,” is featured in the American Society of Civil Engineers (ASCE) Global Center’s book “Digital Twins in Construction and the Built Environment.” It outlines a generic system architecture for applying digital twins to deferred maintenance decision-making. This architecture serves as a versatile framework for designing, implementing, and evaluating Building Information Modeling (BIM)-based Digital Twins for predictive maintenance.  

Additionally, his latest publication in the Journal of Building Engineering, titled “Real-World Prototyping and Evaluation of Digital Twins for Predictive Facility Maintenance” provides valuable insights into criteria for Digital Twin platform selection, “build versus buy” comparisons, system architecture design, and user feedback on Digital Twin interactions and performance. 

Learn more about Dr. Asare’s publication in the ASCE Library and Journal of Building Engineering.


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