Day 1
14:00 - Welcome & Introduction
Prith Banerjee, Chief Technology Officer, Ansys
14:15 - An Aerospace Solution to Leading Edge Erosion
Dr Peter Greaves, Research Structural Engineer, Offshore Renewable Energy Catapult
The blade tip speeds on modern offshore wind turbines are so high that raindrops impacting the leading edge erode the surface of the blade, causing damage and reducing the aerodynamic efficiency. This presentation will detail the adhesive validation methodology used to allow the transfer of a metallic leading-edge protection solution from the helicopter industry to wind turbines. Ansys was used to model the adhesive bond both on the blade and in adhesive validation tests.
14:50 - Wind Flow and Turbine Interaction Modelling for Onshore and Offshore Wind Farms
Paul Housley, Technical Analysis Team Leader, SSE Renewables
SSE have developed their CFD capability over the past 10 years in collaboration with Ansys, for use as a standard tool for energy yield estimates and turbine suitability assessments. Using a consistent CFD setup and physics, a process has been established for modelling wind flow over complex forested terrain, and modelling turbine interaction losses for onshore and offshore arrays, including the component due to blockage effects. Validation studies against turbine power output data at many operational projects have been performed, comparing to predictions from traditional models. SSE is currently exploring options to accelerate the modelling of larger wind farms and clusters using Cloud resources.
15:25 - Break
15:35 - Support/Substructure design and optimization using Ansys / LSDYNA
Kashif Kamran Toor, Vattenfall
To reduce the cost of energy smart design and optimization of foundation structure is no exception. State of the art technology is being used to evaluate several design concepts within a limited period. Advanced simulation technology has helped to develop integrated and parametrized design models. Cloud technology has also played a vital role in reducing the cost of FE models considered highly computational expensive otherwise.
16:05 - Reduced order modelling of electric machines to provide online temperature prediction for Digital Twin lifting estimates
Ed Carman, Senior Application Engineer, Ansys
The drive to reduce costs and improve operating cycles on electric machines leads to the need to base maintenance cycles on ‘as-operated’ instead of ‘as-designed’ conditions. An important contributor to machine life is the thermal loading. Analytics-only approaches to predict thermal wear may lack necessary learning data or thermal measurement capability. Traditional full thermal-electromagnetic 3D simulations can provide this data but require large computational effort that does not scale cost-effectively unit-specific calculations for fleets of hundreds of machines. Reduced Order Modelling is a tool that allows detailed 3D simulation data to be reduced to a form that is usable for practical real-time calculation, while retaining the essential accuracy of results. The presentation will highlight the modelling process and use case for thermal ROM creation for electric machines.
16:45 - Wrap up and Q&A