Simulation-Based Digital Twins for Heat Exchanger Operation and Maintenance Management
Insights provided by physics-based simulation together with advancements in sensor data collection have introduced great opportunities. Simulation can drastically reduce risks associated with cost and schedule overruns, resulting in reduced warranty costs and less downtime. Simulation can also play a central role in increasing a IoT platform’s ROI, empowering engineers to understand and assess the platform’s performance, spanning its initial deployment to its end of life. Additionally, simulation enables sensor placement optimization to improve physics-based data interpretation and enhance decision making. Lastly, simulation is used for monitoring assets, running diagnostics, performing prognostics and developing prescriptive resolutions to boost asset performance and utilization and record the system’s digital footprint. This webinar provides a detailed look at these use cases and spotlights how simulation-based digital twins support heat exchanger operation and maintenance management.