Predicting heat transfer coefficients during steam turbine startup using transient CHT simulations

Siemens PLM publishes On-Demand Webinar (16min)

Turbine operation patterns are changing to fulfill new demand patterns from intermittent renewable energy supplies. This switch to flexible use increases the number of turbine start-ups and shutdowns. It’s critical to understand this effect on blade turbine stress, part lifetime, and maintenance costs. Watch this webinar to learn how B&B-AGEMA use conjugate heat transfer CFD simulations to predict heat transfer coefficients during the start-up phase of steam turbines. These are essential to accurately predict metal temperature distribution, required for thermal stress analyses and lifetime assessment. The transient simulation results are more accurate than standard analytical correlation data and can be used in component stress analyses.

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