Views from Intelligent Light
Earl Duque

Wind Leaders Addressing Future Data Needs – Atmosphere to Electrons Initiative

I had the honor and pleasure to participate in the Atmosphere to Electrons Workshop hosted by the Department of Energy, Office of Energy Efficiency and Renewable Energy.  The focus of the initiative is on the use of computational simulation to improve understanding and performance predictions from the microscale to the mesoscale.

 

Penn_Schmitz_windturbine_F300x159

FieldView image published in paper: “Turbulence Transport Phenomena in the Wakes of Wind Turbines”, Earl Duque, Intelligent Light; Pankaj Jha and Jessica Bashioum and Sven Schmitz, The Pennsylvania State University

The event brought together leaders from the wind energy community including National Labs, Universities and Industry. The purpose was to map out the direction for simulating the performance of a wind turbine farm; capturing the temporal and spatial scales from meso-scale (kilometer and hours) down to the airfoil boundary layer scales (micron and milliseconds). Morning and afternoon sessions began with a topical plenary talk followed by working groups focused on the computation and modeling needs at different scales such as Park Scale, Turbine Scale and Airfoil Scale.

Wind Farm - FieldView image as published in "Wind Farm Simulations Using a Full Rotor Model for Wind Turbines", J. Sitaraman, D. Mavriplis, E. Duque AIAA Paper 2014-1086

Wind Farm – FieldView image as published in “Wind Farm Simulations Using a Full Rotor Model for Wind Turbines”, J. Sitaraman, D. Mavriplis, E. Duque
AIAA Paper 2014-1086

 

For me, it was clear that it will be essential to include in-situ data analysis methods and file I/O standards in order to work with the tremendous volumes of data that will be created and processed. This was recognized by many at the meeting.  The use of in-situ methods with FieldView and VisIt offers solutions to those grappling with the current data analysis bottlenecks.

 

FieldView image published in paper: "Turbulence Transport Phenomena in the Wakes of Wind Turbines", Earl Duque, Intelligent Light; Pankaj Jha and Jessica Bashioum and Sven Schmitz, The Pennsylvania State University

With the high-caliber people from government, academia, and industry converging on this challenging problem, the A2E initiative is making progress toward vast improvements in the understanding of the complex physics of wind flowing into and through wind farms.  DOE sees the potential to improve wind farm efficiency by 20% while drastically reducing operating costs for wind energy producers.

Related Research Papers:


Roger Rintala

In-situ XDB Workflow Allows Coupling of CFD to Flight Simulator for Ship Airwake/Helicopter Interaction

Big Data, Big Challenge

 

Capturing helicopter interactions with a ship’s airwake in flight simulation made possible with in-situ XDB workflow.

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An image from work described in “Coupled Flight Simulator and CFD Calculations of Ship Airwake using HPCMP CREATE™–AV Kestrel”, James R. Forsythe et al, AIAA 2015-0556. Disclaimer: The US Government and Dept. of the Navy do not endorse products or services.

The CREATE™–AV team undertook a simulation challenge last year: coupling the CFD solver HPCMP CREATE–AV Kestrel to the Navy flight simulator CASTLE® for a fully coupled rotorcraft simulation in a ship’s airwake. While high-fidelity ship airwake simulation data has been used with helicopter landing simulations, it had been based on queries of a static database.  This project marks the first time that the flight simulation system has incorporated helicopter and ship airwake interactions into the simulation.  Capturing the important interactions results in much higher realism and training quality.

 

Intelligent Light provided software and expertise to solve extraordinary challenges presented by the size of the data, the need to move it quickly, and to process and visulize the results.  Intractable with traditional CFD workflows, Intelligent Light’s unique In-situ XDB workflow solved the problem.

 

The approach, hover and landing sequence had a simulation duration of 45 seconds. The time to save, transfer and read these visualization files along with the massive space required to save them emerged as a significant roadblock to success.

 

In-situ XDB Workflow via VisIt/libsim provided the solution. The CREATE–AV team, aided by Intelligent Light, integrated VisIt’s in-situ post-processing library libsim into Kestrel. The resulting workflow created and saved FieldView XDBs (extract databases) as the simulation ran on the HPC resource. FieldView was then used for all visual flight checks and movie generation, without the burden of dealing with the volume grid and results.

“The long time-scales and high frequency content due to the blade motion made visualization a challenge, so an ability to create feature extracts was created using VisIt libsim’s capability to extract FieldView13 xdb files. This enabled the creation of animations at a physical resolution of 60Hz (every five iterations) over the 45 seconds simulated. The resulting 2700 extracts were post-processed using FieldView in batch and in parallel to render the animations in a few hours rather than the days it would have otherwise taken. This capability should be in a future release of Kestrel.”

- J. Forsythe, C. Lynch, S. Polsky, and P. Spalart, “Coupled Flight Simulator and CFD Calculations of Ship Airwake using HPCMP CREATE™-AV Kestrel“,

AIAA paper 2015-0556

See AIAA 2015-0556 for details and acknowledgements.

Yves-Marie Lefebvre

ANSYS® Fluent® 16.0 Enables FieldView HPC Capabilities

FieldView Parallel Export from ANSYS® Fluent® 16.0

 

ANSYS Fluent 16.0 provides the capability to export results to FV-UNS while maintaining the partitioning established for a FLUENT parallel solution.  The file is fully compatible with FieldView Parallel allowing for the substantial time savings from parallel processing.  Every FieldView license will support at least 8 processor cores.  FieldView Parallel will readily scale to 64 processors and beyond.  The export files can be automatically generated during the solver run.

 

Surface Export – From the ANSYS Fluent TUI a new option called “fieldview-unstruct-surfaces” creates a surface only FV-UNS export, where the user selects the exported surfaces from a list of boundary conditions and post-processing surfaces (iso-surfaces, planes…).

  • Surface export for Parallel FieldView – A surface export made from a parallel session of Fluent will maintain the partitioning of the surfaces, and the resulting file can thus be read in parallel by FieldView.
  • Interior surfaces may be selected for export in Fluent 16.0.  This is a longstanding request and is useful in applications like integrating flow rate or seeding streamlines on control surfaces.  Please contact our support team for information about how to use this new feature.

FieldView and FLUENT – Power for Unsteady Simulations

 

Unsteady simulations are often post-processed and reviewed using FieldView XDB files which are a fraction of the size of volume data.  Exporting surface data, reading into FieldView Parallel and then having FieldView post-process and produce XDB files can be entirely automated.  This workflow delivers lightweight XDB files for review in FieldView or by the free XDBview reader. When exporting from ANSYS FLUENT, the resulting file can be read into FieldView in parallel, dramatically reducing the read-in time.

Choose the right export for your data:  Quick Start – Working with FLUENT16 data in FieldView (PDF)