March 31, 2022


Description

The simulation for wind farms ranges in model fidelity depending on project’s needs. National Renewable Energy Laboratory (NREL) has developed various open-source tools from low fidelity modeling for quick upfront studies, to medium fidelity modeling for design purposes, and high-fidelity modeling (CFD) for understanding the science behind wind in wind farms. The talk with present a quick introduction to NREL and focus on NREL’s work in the high-fidelity modeling in the wind energy sector.

 

AGENDA:

Item

Time (CDT)

Topic

Presenter

1

9:00 – 9:10

Welcome/Introduction

Madhu Agrawal, bp

2

9:10 – 9:20

Overview of NREL and Windfarm Modeling Tools

Senu Sirnivas, NREL

3

9:20 – 9:40

Overview of High Fidelity (CFD) Modeling Capability

Mike Sprague, NREL

5

9:40 – 10:10

Overview of Predictive Simulation Capability

Ganesh Vijayakumar, NREL

6

10:10 – 10:30

Q&A/Discussion

 


Featured Speakers

Speaker: Senu Srinivas, NREL
Speaker Senu Srinivas, NREL

Senu Sirnivas is responsible for leading and executing research programs to address emerging issues in the development of offshore wind energy technology. He advises, facilitates, and executes laboratory initiatives in offshore wind and marine hydrokinetics working closely with the U.S. Department of Energy, industry, and university research partners. Prior to …

Senu Sirnivas is responsible for leading and executing research programs to address emerging issues in the development of offshore wind energy technology. He advises, facilitates, and executes laboratory initiatives in offshore wind and marine hydrokinetics working closely with the U.S. Department of Energy, industry, and university research partners. Prior to joining NREL, he worked in the offshore oil and gas industry for 20 years. Starting at Deep Oil Technology, the original Spar technology company, he has transitioned through Aker Maritime, Coflexip Stena, and Technip. Prior to leaving Technip, he was the head of the Floater Product Line's software development group. In his last position, at Horton Wison Deepwater, he led the efforts on offshore floating wind business development.

Full Description

Speaker: Mike Sprague, NREL
Speaker Mike Sprague, NREL

Mike Sprague is a Chief Computational Scientist in the National Wind Technology Center at the National Renewable Energy Laboratory (NREL).  He is leading several projects in high-fidelity modeling and high-performance computing for wind energy. He was program chair for the 2015 U.S. Department of Energy "Turbulent Flow Simulation at the …

Mike Sprague is a Chief Computational Scientist in the National Wind Technology Center at the National Renewable Energy Laboratory (NREL).  He is leading several projects in high-fidelity modeling and high-performance computing for wind energy. He was program chair for the 2015 U.S. Department of Energy "Turbulent Flow Simulation at the Exascale: Opportunities and Challenges Workshop." Before coming to NREL in 2010, Dr. Sprague spent five years as assistant professor and founding faculty in applied mathematics at the University of California, Merced, where he was the lead in developing a new graduate program in applied mathematics. He graduated with a PhD in Mechanical Engineering from the University of Colorado at Boulder and a BS from the University of Wisconsin-Madison.

Full Description

Speaker: Ganesh Vijayakumar, NREL
Speaker Ganesh Vijayakumar, NREL

Ganesh Vijayakumar is a researcher at the National Wind Technology Center. Ganesh completed his Ph.D. in Mechanical Engineering from Pennsylvania State University on quantifying the aerodynamic loads on wind turbines due to atmospheric turbulence using computational fluid dynamics. He is one of the main developers of the ExaWind modeling and …

Ganesh Vijayakumar is a researcher at the National Wind Technology Center. Ganesh completed his Ph.D. in Mechanical Engineering from Pennsylvania State University on quantifying the aerodynamic loads on wind turbines due to atmospheric turbulence using computational fluid dynamics. He is one of the main developers of the ExaWind modeling and simulation environment for wind energy at NREL focusing on fluid-structure interaction and wind turbine aerodynamics. Ganesh’s recent work is focused on creating a pipeline from high-fidelity simulations to design using machine learning. He is the principal investigator of an ARPA-E project on inverse-design of wind turbines using invertible neural networks. He also developed new machine learning models for unsteady aerodynamics and generator design.

Full Description

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Organizer

Computational Fluid Dynamics Study Group


Madhusuden Agrawal, madhusuden.agrawal@bp.com



Date and Time

Thu, March 31, 2022

9 a.m. - 10:30 a.m.
(GMT-0500) US/Central

Event has ended

Location

Online or Phone