Interest is increasing in the abundance of low head and ultra-low head hydropower opportunities. Given the limited power available from a single turbine in these circumstances, MSI was asked to model and analyze the performance of several hydro turbines operating in parallel.
MSI created an extensive model to determine interactions between several hydro turbines running in parallel.
A complete computational fluid dynamics (CFD) model of over 19 million vertices was created to accurately determine if there was any interaction between the hydro turbines. MSI’s intensive computing resources were able to successfully run this substantial model and provide engineers with reliable results.
The CFD model indicated significant power output variation among the hydro turbines.
Using the model, MSI was able to determine a variation of over 5% in power output turbine-to-turbine, and a 10% spread in turbine efficiency, with potential for optimization with tailrace modifications.
A steam turbine at a waste-to-energy facility in the Northeast underwent a scheduled repair, at which time the turbine bearings were reworked, after which the turbine periodically experienced very high amplitude shaft vibrations.
A boiler feed pump (BFP) driven off of the main steam turbine via a fluid drive was experiencing high vibration levels leading to frequent replacement of the fluid drive bearings.
MSI was contracted to understand and help solve a high vibration problem on an aero-derivative gas turbine driven generator.