GE Research uses supercomputer for wind power study
In a recent announcement made by the company has been authorised by the US government access to one of the world’s fastest supercomputers. The access will provide GE Research with the capability to advance offshore wind power.
The research could be a significant part of the wind energy sector which is projected to provide 20% of all US needs in the next 10 years.
GE engineers - which is led by GE Research Aerodynamics Engineer Jing Li – has been granted access to the Summit supercomputer at Oak Ridge National Laboratory (ORNL) in Tennessee, via the U.S. Department of Energy’s (DOE) competitive Advanced Scientific Computing Research Leadership Computing Challenge (ALCC) program.
The goal of the research project is to use the supercomputer to utilise simulations to conduct otherwise infeasible research which aims to improve efficiencies in offshore wind energy production.
“The Summit supercomputer will allow our GE team to run computations that would be otherwise impossible,” commented Li. “This research could dramatically accelerate offshore wind power as the future of clean energy and our path to a more sustainable, safe environment.”
As part of the project, GE will work closely with research teams at NREL and ORNL to advance the platform, which focuses on the development of computer software to simulate different wind farms and atmospheric flow physics. The simulations will provide crucial insights to better understand wind dynamics and the impact they have on wind farms.
“Scientists at NREL and ORNL are part of a broader team that have built up a tremendous catalog of new software code and technical expertise with ExaWind, and we believe our project can discover critical new insights that support and validate this larger effort,” added Li.
“ExaWind’s development efforts are building progressively from predictive petascale simulations of a single turbine to a multi-turbine array of turbines in complex terrain. The ExaWind goal is to establish a virtual wind plant test bed that aids and accelerates the design and control of wind farms, informing our ability to predict the response of these farms to a given atmospheric condition. ECP is fortunate to have ExaWind in its portfolio of application projects, and fully supports its goals and aggressive development plans, which will not be easy to achieve. But these sort of stretch scientific goals are what ECP is about,” commented Doug Kothe, Director of DOE's Exascale Computing Project (ECP).
Another key focus for the project will be the study of coastal low level jets, “which produce a distinct wind velocity profile of potential importance to the design and operation of future wind turbines,” commented in a company statement.
Utilising the Summit supercomputer system, GE will conduct further studies to run simulations to inform new ways of controlling and operating offshore turbines to best optimise wind production.
“We’re now able to study wind patterns that span hundreds of meters in height across tens of kilometers of territory down to the resolution of airflow over individual turbine blades,” commented Li. “You simply couldn’t gather and run experiments on this volume and complexity of data without a supercomputer. These simulations allow us to characterize and understand poorly understood phenomena like coastal low-level jets in ways previously not possible.”
Ivy.ai’s new chatbot streamlines resources and policies
Ivy.ai, a creator of AI chatbots for higher education, is offering a chatbot that helps institutions streamline name, image, and likeness policies for athletic programmes.
This solution will allow athletic departments to dramatically reduce inbound inquiries while answering inquiries related to compliance, financial aid impact, how-to documents, and best practice training videos.
It will allow institutions to condense information in a way that is easily accessible and eliminates the need for student-athletes to read complicated manuals. Institutions can also engage with student-athletes via a real-time feedback loop to see which topics truly matter and what needs further clarification. This allows administrators to be proactive and provide a competitive edge in recruiting.
Helping institutions connect their students with information
“Athletic departments at colleges and universities are overwhelmed by the challenges posed by the name, image and likeness legislation,” said Mary Frances Coryell, Vice President of Strategic Alliances and Partnership.
“Ivy.ai is uniquely positioned in the market to help institutions connect their student-athletes with policies and information related to NIL such as state laws, restrictions and relevant contacts. Our chatbot can digest all relevant policy information and provide answers to student-athletes at any time on any device. We expect the NIL market to move quickly, so student-athletes deserve the answers on their terms, rather than exclusively during work hours.”
Primary use cases for the chatbot include:
- Answering commonly asked questions related to name, image and likeness
- Communicate policies such as state laws, restrictions and compliance regulations
- Provide contact information for various advisors and agencies
- Connect training materials for athletes to improve their branding
- Engage in two-way reactive and proactive communication to keep policies student-centric
Back in March 2020, the company offered schools a free COVID-19 Response System, including a customisable COVID-19 Response Bot, a human-to-human live chat system and an SMS Text platform. These services are offered completely free of charge.
"The customisable COVID-19 Response Bot will help schools connect their students with important information, such as the school's operational status, where to go for treatment, and what to do to help reduce the risk of spreading the virus. We already added that information to all of our clients' AI chatbots, and we found that in many cases students needed additional support. That's why we're including our human-to-human Live Chat system in this offer. The SMS Text platform can be used to drive awareness to this communications channel for your students." said Mark McNasby, CEO of Ivy.ai.