Connect with us

Hi, what are you looking for?

CleanTechnica
Simulation of wind over waves using ExaWind’s Nalu-Wind flow solver. Graphic by Georgios Deskos, NREL

Clean Power

ExaWind Supercharges Wind Power Plant Simulations On Land & At Sea

Suite of open-source, HPC-powered physics codes allows engineers to do everything but collect their mail inside a virtual wind power plant.

Suite of open-source, HPC-powered physics codes allows engineers to do everything but collect their mail inside a virtual wind power plant.

ExaWind is a confidence builder.

Until now, predicting the performance of entire wind power plants was a near-impossible task — from anticipating the various movements of turbine blades to understanding how varying wind conditions and blade motion can impact wind power plant operational efficiency. Designing and installing wind power plants is an expensive and time-consuming venture, and most current modeling and engineering tools are just not up to the task of tackling the intricacies of wind power plant flow dynamics, particularly in offshore environments.

Driven by the immense power of high-performance computing (HPC), ExaWind is an open-source suite of physics codes and libraries that enables multi-fidelity simulation of wind turbines and wind power plants.

These groundbreaking simulation capabilities allow engineers to do everything but collect their mail inside a virtual wind power plant, creating a computer-generated environment where they can test their designs in real-time and move forward in product development with confidence — minimizing industry risk and ensuring optimized performance down the road.

Figure showing the flow structure around an NREL 5-megawatt wind turbine rotor generated by the ExaWind Nalu-Wind high-performance computational code. Graphic by Shreyas Ananthan, NREL.

Prediction Powered by Petaflops & Exaflops

The U.S. Department of Energy (DOE) Exascale Computing Project (ECP), ExaWind, and the Wind Energy Technologies Office (WETO) High-Fidelity Modeling project were launched in 2016, products of a close collaboration between the National Renewable Energy Laboratory (NREL) and Sandia National Laboratories (Sandia). With a multimillion-dollar budget and more than 40 researchers on the task, the project also includes partnerships with Oak Ridge National Laboratory, Lawrence Berkeley National Laboratory, the University of Texas at Austin, and Parallel Geometric Algorithms LLC as part of the broader ECP effort.

ExaWind is a marriage of three primary open-source physics codes: Nalu-Wind, an unstructured-grid computational fluid dynamics (CFD) code; AMR-Wind, a structured-grid CFD code built on the AMReX library; and NREL’s OpenFAST, a whole-turbine simulation code. ExaWind essentially enables researchers to unlock the secrets of flow dynamics, allowing engineers to take a virtual peek inside the operations of a wind power plant and evaluate their designs within this computer-generated environment.

ExaWind aims to run the highest-fidelity wind power plant simulations to date. Employing the Summit supercomputer at the Oak Ridge Leadership Computing Facility, one of the world’s fastest, as well as next-generation exascale-class supercomputers, the team hopes to one day graduate from utilizing petaflop computing power to exaflops (1,000 petaflops). Summit is capable of achieving 200,000 trillion calculations per second (200 petaflops), and the first exascale machines will be at least five times faster. The resulting high-fidelity models will enable a great leap in the understanding of, and ability to predict, complex flows and turbine responses in wind farms.

And better prediction leads to better outcomes.

“If you really understand a wind power plant system and can predict how it will respond to the wind flow, then you’re in a strong position to optimize the design and operation of wind farms, both on land and offshore,” said Michael Sprague, ExaWind principal investigator at NREL.

Amphibious Application

ExaWind’s reach extends beyond the shoreline.

Offshore wind power plant simulation, particularly floating offshore wind, requires an additional modeling capability from that of land-based wind.

Offshore environments are characterized by complex interactions where the atmosphere meets the ocean surface, such as the proliferation of large, irregularly breaking waves. These interactions intensify the exchange of energy and momentum between the ocean and the atmospheric boundary layer above it.

These environmental manifestations also play a key role in the wind- and wave-related forces that act upon floating offshore wind turbines.

To help capture these fundamental interactions, NREL’s High-Fidelity Modeling team implemented a new moving-wave boundary condition in the ExaWind modeling and simulation environment for offshore atmospheric dynamics.

“With the ability to simulate ocean waves and gain a deeper understanding of how they impact the wind flow at turbine height, ExaWind can ultimately lead to improvements in offshore wind turbine design,” said NREL postdoctoral researcher Georgios Deskos.

Simulation of wind over waves using ExaWind’s Nalu-Wind flow solver. Graphic by Georgios Deskos, NREL

Promising Partnerships

The future looks bright for ExaWind, including a recently established partnership with General Electric (GE). GE and NREL are using the Summit supercomputer at the Oak Ridge Leadership Computing Facility to study the impact of winds found in the lower levels of the atmosphere on the performance of Atlantic Coast offshore wind power plants, in a project funded by the New York State Energy Research and Development Authority. GE, NREL, and Sandia are also producing a high-fidelity modeling toolkit for wind resource characterization and wind power plant development in a project funded by the DOE Technology Commercialization Fund. In this project, the team will be adding features to ExaWind to help industry partners better integrate high-fidelity modeling tools into their design workflows. These additions will afford engineers the ability to predict the performance of their designs with confidence.

By fostering a deeper understanding of the dynamics at play in wind energy generation, coupled with its predictive capabilities, ExaWind can help scientists and engineers develop the designs that maximize energy capture, improve turbine life spans, and reduce the cost of wind-generated electricity.

Courtesy of Department of Energy

 
 
Appreciate CleanTechnica’s originality? Consider becoming a CleanTechnica member, supporter, or ambassador — or a patron on Patreon.
 
Have a tip for CleanTechnica, want to advertise, or want to suggest a guest for our CleanTech Talk podcast? Contact us here.

New Podcast: How NVIDIA Is Bringing Autonomy To Automakers

The mission of the U.S. Energy Department is to ensure America’s security and prosperity by addressing its energy, environmental and nuclear challenges through transformative science and technology solutions. Learn more.

Comments

#1 most loved electric vehicle, solar energy, and battery news & analysis site in the world.

 

Support our work today!

Advertisement

Power CleanTechnica: $3/Month

Tesla News Solar News EV News Data Reports

Advertisement

EV Sales Charts, Graphs, & Stats

Advertisement

Our Electric Car Driver Report

30 Electric Car Benefits

Tesla Model 3 Video

Renewable Energy 101 In Depth

solar power facts

Tesla News

EV Reviews

Home Efficiency

You May Also Like

Batteries

As demand for electric vehicles continues to accelerate across the country, fast-charging infrastructure is expanding in parallel to meet consumers’ needs. Researchers expect over...

Autonomous Vehicles

It’s the end of another month, and thus another opportunity to look back at the most popular CleanTechnica stories of the month — as...

Clean Power

The renewable energy developer Avangrid claps back at wind turbine bird death canard with new condor breeding program.

Clean Power

Dozens of Texans are dead, hundreds facing potentially lifelong medical disability, more facing impossible financial expectations after a fiscally challenging year. No wonder the...

Copyright © 2021 CleanTechnica. The content produced by this site is for entertainment purposes only. Opinions and comments published on this site may not be sanctioned by and do not necessarily represent the views of CleanTechnica, its owners, sponsors, affiliates, or subsidiaries.