Siemens Energy HRSG Digital Twin Simulation Using NVIDIA Modulus and Omniverse
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14.11.22 – 13 8191:42Опубликовано 10 ноября 2021, 17:41
Heat Recovery Steam Generators, or HRSGs, are complex systems that convert the hot gas out a combustion turbine into steam, which then drives a steam turbine to generate electricity. HRSG corrosion is a multi-physics problem with a combination of flow characteristics, water chemistry, and operating conditions.
Using NVIDIA Modulus Physics-ML Framework and NVIDIA Omniverse, we’ve trained high fidelity, physics-based, neural network models, and created a sophisticated digital twin platform with Siemens Energy. By accurately and efficiently predicting corrosion proactively via a digital twin, Siemens Energy estimates huge financial and time savings by reducing inspections, and downtime due to repairs. Learn more: developer.nvidia.com/modulus
#GTC21
Using NVIDIA Modulus Physics-ML Framework and NVIDIA Omniverse, we’ve trained high fidelity, physics-based, neural network models, and created a sophisticated digital twin platform with Siemens Energy. By accurately and efficiently predicting corrosion proactively via a digital twin, Siemens Energy estimates huge financial and time savings by reducing inspections, and downtime due to repairs. Learn more: developer.nvidia.com/modulus
#GTC21
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