Downtime for maintenance and repairs leads to lost revenue opportunities for utility companies. This improves the thermodynamic efficiency of the power plant by more than 60 percent, according to Siemens Energy.Īt some sections of an HRSG, a steam and water mixture can cause corrosion that might impact the lifetime of the HRSG’s parts. Heat recovery steam generators (HRSGs) use the exhaust heat from the gas turbine to create steam used to drive the steam turbine. Siemens Energy builds and services combined cycle power plants, which include large gas turbines and steam turbines. “NVIDIA’s open platforms along with physics-infused neural networks bring great value to Siemens Energy,” said Stefan Lichtenberger, technical portfolio manager at Siemens Energy. Indeed, the worldwide market for digital twin platforms is forecast to reach $86 billion by 2028, according to Grand View Research. Among them, BMW Group, which has 31 factories around the world, is building multiple industrial digital twins of its operations and Ericsson is adopting Omniverse to build digital twins of urban areas to help determine how to construct 5G networks.
In doing so, Siemens Energy joins a wave of companies across various industries that are using digital twins to enhance their operations.
Siemens Energy, a leading supplier of power plant technology in the trillion-dollar worldwide energy market, is relying on the NVIDIA Omniverse platform to create digital twins to support predictive maintenance of power plants.
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