(151c) Simulation-Based Digital Twins for Heat Exchanger Operation and Maintenance Management

The insight of simulation-based simulation in conjunction with advancement in collection and usage of sensor data enabled by the wireless technology has created great opportunities. It can drastically reduce risks associated with cost and schedule overruns resulted in less warranty cost and unexpected downtime. Simulation technology plays a central role in increasing the ROI by providing insight from the deployment stage of the IoT platform to its operation and end of life. This includes sensor placement optimization to physics-based data interpretations and physics-based decision making. Additionally, it is being used for monitoring, diagnostics, prognostics, and prescriptive resolutions to optimize asset performance and utilization and record the digital footprint of the system. This talk will showcase the implementation of simulation based digital twin approach for a shell & tube heat exchanger. The power of traditional time consuming and complex simulations will be used to perform real-time prescriptive and predictive analytics of a heat exchanger. This approach is generic and can be expanded to other assets in the field as well.