Puerto Rico Utilizes PNNL Electrical Grid Platform for Severe Weather

August 10, 2022

RICHLAND, Wash., Aug. 10, 2022 — When Hurricane Maria, a Category 4 storm with 155-mph winds, made a direct hit on Puerto Rico in 2017, it ravaged the island’s power grid and caused the longest blackout in U.S. history. Maria left many residents without power for nearly a year.

PNNL researchers, from left to right, Patrick Royer, Marcelo Elizondo, and Jeff Dagle helped develop EGRASS, which is now available for use to serve coastal communities worldwide susceptible to hurricanes and other major storms. Credit: Cortland Johnson, PNNL.

In the aftermath of this devastation, the Department of Energy and its national laboratory system partnered with Puerto Rico to generate a more resilient power grid to keep the lights on in communities and to protect against the worst consequences of new hurricanes.

Now, DOE’s Pacific Northwest National Laboratory has delivered a solution to a more resilient power grid with the Electrical Grid Resilience and Assessment System (EGRASS), a powerful platform that helps prepare and fortify critical structures as new threats are identified.

“It is very important for Puerto Rico to prepare for this and the next hurricane season,” Power Systems Engineer Marcelo Elizondo said. “In order to tackle this, we combined our expertise in grid modeling, cloud architecture and emergency response to help protect Puerto Rico’s current and future power systems,” Elizondo added. “We validated our model in site damage assessment reports that allowed us to gain more accurate ability in predicting grid failure.”

The development of this software was possible thanks to funding from the Federal Emergency Management Agency (FEMA), and it will help the island be better prepared with proper action plans and materials when facing big storms in the future.

“Our Interagency Recovery Coordination division at the FEMA Puerto Rico recovery office worked tirelessly to reach the interagency agreement that paved the way for this innovative technology. Knowing the potential impacts of a future storm will help local governments make sound determinations when preparing for a post-landfall scenario,” said the FEMA Federal Disaster Recovery Coordinator in Puerto Rico, José G. Baquero.

The Puerto Rico Energy Power Authority (PREPA), and the operator and administrator of the Transmission and Distribution System in Puerto Rico, LUMA Energy, are now using EGRASS to study and plan for extreme weather events and potential impacts on the grid, to better expose data and knowledge gaps in the system and to use that information to protect critical infrastructure.

“LUMA is committed to building a more reliable, more resilient, more customer-focused, and cleaner energy system for our 1.5 million customers. Through the implementation of EGRASS, our teams have one more tool to inform our deployment of resources to prioritize work in the most vulnerable areas of Puerto Rico and manage where we place our emergency response assets and teams so that they can be most effective in the event of an emergency,” said Aleksi Paaso, Vice President of LUMA for distribution, engineering, and investment strategy. “The people of Puerto Rico understand, better than most, the impact a hurricane has on the electric system. Preparing for emergency events like this is part of the important work we do every day and having this technology available bolsters our responsiveness and our efforts to build a resilient system.”

EGRASS helps emergency managers better characterize storm impacts by simulating historical storm paths for a variety of different wind intensity estimates. These exercises are helping LUMA Energy managers plan ahead to repair transmission lines, substations, and other components in Puerto Rico—keeping them safe from upcoming weather threats.

PNNL is participating in the unified DOE effort to rebuild Puerto Rico’s power grid and help it prepare for future hurricanes. The multiyear project includes complex work on grid modernization and planning for the future, including a transition to 100% renewables by 2050. “Puerto Rico is committed to transitioning to 100% renewables, so we are eager to help plan for that transition in a resilient and reliable way accounting for hurricane impacts on the system as it transitions. We would like to help identify how renewables and energy storage can be part of the solution, by designing their grid controls.” Marcelo Elizondo notes. Elizondo leads the PNNL team that provides grid resilience modeling and analysis on this project.

How EGRASS Helps Prepare for Hurricanes

EGRASS assesses the impact on infrastructure as a result of natural hazard events. It estimates the probability of failure for different components of the electrical infrastructure, such as towers, transmission lines and substations, and it analyzes the associated risk and impact of their failures on system reliability. It also aids in real-time recovery operations by providing expert judgment for determining alternative power sources for critical end-use loads.

“For the system reliability part, we already had a tool for that. It is called DCAT, the Dynamic Contingency Analysis tool,” Jeff Dagle, Chief Electrical Engineer at PNNL said. “We recognized a gap in our tools as we worked to rebuild the grid after the effects of Hurricane Maria. We wanted to add information like, ‘which power lines would go down’ to gain a better understanding of the fragility of the towers and their susceptibility to substations and to the individual components of the power system. EGRASS does that.” The team designed the model to understand which systems would fail based on certain assumptions about hurricane forces. “We gained an understanding of the impact of weather on the components of the power system to feed into our grid analysis,” Dagle added.

Supported by DOE’s Office of Electricity, and funded by LUMA, EGRASS helps protect and recover the current infrastructure by presenting intelligent modeling to best prepare for future hurricanes. Future plans include extending its applicability to other events, such as earthquakes and floods.

“DOE is committed to helping Puerto Rico strengthen the island’s resilience, and unlock its potential for reliable and affordable energy,” said DOE’s Acting Principal Deputy Assistant Secretary for the Office of Electricity Gil Bindewald. “By leveraging the expertise and cutting-edge capabilities of our national labs, we’re working to modernize Puerto Rico’s critical infrastructure and execute data-driven, community-tailored pathways toward 100% clean electricity.”

EGRASS is now available for use to serve coastal communities worldwide susceptible to hurricanes and other major storms.

About PNNL

Pacific Northwest National Laboratory draws on its distinguishing strengths in chemistry, Earth sciences, biology and data science to advance scientific knowledge and address challenges in sustainable energy and national security. Founded in 1965, PNNL is operated by Battelle for the Department of Energy’s Office of Science, which is the single largest supporter of basic research in the physical sciences in the United States. DOE’s Office of Science is working to address some of the most pressing challenges of our time.


Source: Nick Hennen, PNNL

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industry updates delivered to you every week!

Empowering High-Performance Computing for Artificial Intelligence

April 19, 2024

Artificial intelligence (AI) presents some of the most challenging demands in information technology, especially concerning computing power and data movement. As a result of these challenges, high-performance computing Read more…

Kathy Yelick on Post-Exascale Challenges

April 18, 2024

With the exascale era underway, the HPC community is already turning its attention to zettascale computing, the next of the 1,000-fold performance leaps that have occurred about once a decade. With this in mind, the ISC Read more…

2024 Winter Classic: Texas Two Step

April 18, 2024

Texas Tech University. Their middle name is ‘tech’, so it’s no surprise that they’ve been fielding not one, but two teams in the last three Winter Classic cluster competitions. Their teams, dubbed Matador and Red Read more…

2024 Winter Classic: The Return of Team Fayetteville

April 18, 2024

Hailing from Fayetteville, NC, Fayetteville State University stayed under the radar in their first Winter Classic competition in 2022. Solid students for sure, but not a lot of HPC experience. All good. They didn’t Read more…

Software Specialist Horizon Quantum to Build First-of-a-Kind Hardware Testbed

April 18, 2024

Horizon Quantum Computing, a Singapore-based quantum software start-up, announced today it would build its own testbed of quantum computers, starting with use of Rigetti’s Novera 9-qubit QPU. The approach by a quantum Read more…

2024 Winter Classic: Meet Team Morehouse

April 17, 2024

Morehouse College? The university is well-known for their long list of illustrious graduates, the rigor of their academics, and the quality of the instruction. They were one of the first schools to sign up for the Winter Read more…

Kathy Yelick on Post-Exascale Challenges

April 18, 2024

With the exascale era underway, the HPC community is already turning its attention to zettascale computing, the next of the 1,000-fold performance leaps that ha Read more…

Software Specialist Horizon Quantum to Build First-of-a-Kind Hardware Testbed

April 18, 2024

Horizon Quantum Computing, a Singapore-based quantum software start-up, announced today it would build its own testbed of quantum computers, starting with use o Read more…

MLCommons Launches New AI Safety Benchmark Initiative

April 16, 2024

MLCommons, organizer of the popular MLPerf benchmarking exercises (training and inference), is starting a new effort to benchmark AI Safety, one of the most pre Read more…

Exciting Updates From Stanford HAI’s Seventh Annual AI Index Report

April 15, 2024

As the AI revolution marches on, it is vital to continually reassess how this technology is reshaping our world. To that end, researchers at Stanford’s Instit Read more…

Intel’s Vision Advantage: Chips Are Available Off-the-Shelf

April 11, 2024

The chip market is facing a crisis: chip development is now concentrated in the hands of the few. A confluence of events this week reminded us how few chips Read more…

The VC View: Quantonation’s Deep Dive into Funding Quantum Start-ups

April 11, 2024

Yesterday Quantonation — which promotes itself as a one-of-a-kind venture capital (VC) company specializing in quantum science and deep physics  — announce Read more…

Nvidia’s GTC Is the New Intel IDF

April 9, 2024

After many years, Nvidia's GPU Technology Conference (GTC) was back in person and has become the conference for those who care about semiconductors and AI. I Read more…

Google Announces Homegrown ARM-based CPUs 

April 9, 2024

Google sprang a surprise at the ongoing Google Next Cloud conference by introducing its own ARM-based CPU called Axion, which will be offered to customers in it Read more…

Nvidia H100: Are 550,000 GPUs Enough for This Year?

August 17, 2023

The GPU Squeeze continues to place a premium on Nvidia H100 GPUs. In a recent Financial Times article, Nvidia reports that it expects to ship 550,000 of its lat Read more…

Synopsys Eats Ansys: Does HPC Get Indigestion?

February 8, 2024

Recently, it was announced that Synopsys is buying HPC tool developer Ansys. Started in Pittsburgh, Pa., in 1970 as Swanson Analysis Systems, Inc. (SASI) by John Swanson (and eventually renamed), Ansys serves the CAE (Computer Aided Engineering)/multiphysics engineering simulation market. Read more…

Intel’s Server and PC Chip Development Will Blur After 2025

January 15, 2024

Intel's dealing with much more than chip rivals breathing down its neck; it is simultaneously integrating a bevy of new technologies such as chiplets, artificia Read more…

Choosing the Right GPU for LLM Inference and Training

December 11, 2023

Accelerating the training and inference processes of deep learning models is crucial for unleashing their true potential and NVIDIA GPUs have emerged as a game- Read more…

Baidu Exits Quantum, Closely Following Alibaba’s Earlier Move

January 5, 2024

Reuters reported this week that Baidu, China’s giant e-commerce and services provider, is exiting the quantum computing development arena. Reuters reported � Read more…

Comparing NVIDIA A100 and NVIDIA L40S: Which GPU is Ideal for AI and Graphics-Intensive Workloads?

October 30, 2023

With long lead times for the NVIDIA H100 and A100 GPUs, many organizations are looking at the new NVIDIA L40S GPU, which it’s a new GPU optimized for AI and g Read more…

Shutterstock 1179408610

Google Addresses the Mysteries of Its Hypercomputer 

December 28, 2023

When Google launched its Hypercomputer earlier this month (December 2023), the first reaction was, "Say what?" It turns out that the Hypercomputer is Google's t Read more…

AMD MI3000A

How AMD May Get Across the CUDA Moat

October 5, 2023

When discussing GenAI, the term "GPU" almost always enters the conversation and the topic often moves toward performance and access. Interestingly, the word "GPU" is assumed to mean "Nvidia" products. (As an aside, the popular Nvidia hardware used in GenAI are not technically... Read more…

Leading Solution Providers

Contributors

Shutterstock 1606064203

Meta’s Zuckerberg Puts Its AI Future in the Hands of 600,000 GPUs

January 25, 2024

In under two minutes, Meta's CEO, Mark Zuckerberg, laid out the company's AI plans, which included a plan to build an artificial intelligence system with the eq Read more…

China Is All In on a RISC-V Future

January 8, 2024

The state of RISC-V in China was discussed in a recent report released by the Jamestown Foundation, a Washington, D.C.-based think tank. The report, entitled "E Read more…

Shutterstock 1285747942

AMD’s Horsepower-packed MI300X GPU Beats Nvidia’s Upcoming H200

December 7, 2023

AMD and Nvidia are locked in an AI performance battle – much like the gaming GPU performance clash the companies have waged for decades. AMD has claimed it Read more…

DoD Takes a Long View of Quantum Computing

December 19, 2023

Given the large sums tied to expensive weapon systems – think $100-million-plus per F-35 fighter – it’s easy to forget the U.S. Department of Defense is a Read more…

Nvidia’s New Blackwell GPU Can Train AI Models with Trillions of Parameters

March 18, 2024

Nvidia's latest and fastest GPU, codenamed Blackwell, is here and will underpin the company's AI plans this year. The chip offers performance improvements from Read more…

Eyes on the Quantum Prize – D-Wave Says its Time is Now

January 30, 2024

Early quantum computing pioneer D-Wave again asserted – that at least for D-Wave – the commercial quantum era has begun. Speaking at its first in-person Ana Read more…

GenAI Having Major Impact on Data Culture, Survey Says

February 21, 2024

While 2023 was the year of GenAI, the adoption rates for GenAI did not match expectations. Most organizations are continuing to invest in GenAI but are yet to Read more…

The GenAI Datacenter Squeeze Is Here

February 1, 2024

The immediate effect of the GenAI GPU Squeeze was to reduce availability, either direct purchase or cloud access, increase cost, and push demand through the roof. A secondary issue has been developing over the last several years. Even though your organization secured several racks... Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire