A team of Texas researchers has landed a nearly $1 million NSF grant to address rural flood management challenges with community input. Photo via Getty Images.

A team from Rice University, the University of Texas at Austin and Texas A&M University have been awarded a National Science Foundation grant under the CHIRRP—or Confronting Hazards, Impacts and Risks for a Resilient Planet—program to combat flooding hazards in rural Texas.

The grant totals just under $1 million, according to a CHIRRP abstract.

The team is led by Avantika Gori, assistant professor of civil and environmental engineering at Rice. Other members include Rice’s James Doss-Gollin, Andrew Juan at Texas A&M University and Keri Stephens at UT Austin.

Researchers from Rice’s Severe Storm Prediction, Education and Evacuation from Disasters Center and Ken Kennedy Institute, Texas A&M’s Institute for A Disaster Resilient Texas and the Technology & Information Policy Institute at UT Austin are part of the team as well.

Their proposal includes work that introduces a “stakeholder-centered framework” to help address rural flood management challenges with community input.

“Our goal is to create a flood management approach that truly serves rural communities — one that’s driven by science but centers around the people who are impacted the most,” Gori said in a news release.

The project plans to introduce a performance-based system dynamics framework that integrates hydroclimate variability, hydrology, machine learning, community knowledge, and feedback to give researchers a better understanding of flood risks in rural areas.

The research will be implemented in two rural Texas areas that struggle with constant challenges associated with flooding. The case studies aim to demonstrate how linking global and regional hydroclimate variability with local hazard dynamics can work toward solutions.

“By integrating understanding of the weather dynamics that cause extreme floods, physics-based models of flooding and AI or machine learning tools together with an understanding of each community’s needs and vulnerabilities, we can better predict how different interventions will reduce a community’s risk,” Doss-Gollin said in a news release.

At the same time, the project aims to help communities gain a better understanding of climate science in their terms. The framework will also consider “resilience indicators,” such as business continuity, transportation access and other features that the team says more adequately address the needs of rural communities.

“This work is about more than flood science — it’s also about identifying ways to help communities understand flooding using words that reflect their values and priorities,” said Stephens. “We’re creating tools that empower communities to not only recover from disasters but to thrive long term.”

OpenSafe.AI, a new platform that utilizes AI, data, and hazard and resilience models to support storm response decision makers, has secured an NSF grant. Photo via Getty Images

Houston-area researchers score $1.5M grant to develop storm response tech platform

fresh funding

Researchers from Rice University have secured a $1.5 million grant from the National Science Foundation to continue their work on improving safety and resiliency of coastal communities plagued by flooding and hazardous weather.

The Rice team of engineers and collaborators includes Jamie Padgett, Ben Hu, and Avantika Gori along with David Retchless at Texas A&M University at Galveston. The researchers are working in collaboration with the Severe Storm Prediction, Education and Evacuation from Disasters (SSPEED) Center and the Ken Kennedy Institute at Rice and A&M-Galveston’s Institute for a Disaster Resilient Texas.

Together, the team is developing and hopes to deploy “Open-Source Situational Awareness Framework for Equitable Multi-Hazard Impact Sensing using Responsible AI,” or OpenSafe.AI, a new platform that utilizes AI, data, and hazard and resilience models "to provide timely, reliable and equitable insights to emergency response organizations and communities before, during and after tropical cyclones and coastal storm events," reads a news release from Rice.

“Our goal with this project is to enable communities to better prepare for and navigate severe weather by providing better estimates of what is actually happening or might happen within the next hours or days,” Padgett, Rice’s Stanley C. Moore Professor in Engineering and chair of the Department of Civil and Environmental Engineering, says in the release. “OpenSafe.AI will take into account multiple hazards such as high-speed winds, storm surge and compound flooding and forecast their potential impact on the built environment such as transportation infrastructure performance or hazardous material spills triggered by severe storms.”

OpenSafe.AI platform will be developed to support decision makers before, during, and after a storm.

“By combining cutting-edge AI with a deep understanding of the needs of emergency responders, we aim to provide accurate, real-time information that will enable better decision-making in the face of disasters,” adds Hu, associate professor of computer science at Rice.

In the long term, OpenSafe.AI hopes to explore how the system can be applied to and scaled in other regions in need of equitable resilience to climate-driven hazards.

“Our goal is not only to develop a powerful tool for emergency response agencies along the coast but to ensure that all communities ⎯ especially the ones most vulnerable to storm-induced damage ⎯ can rely on this technology to better respond to and recover from the devastating effects of coastal storms,” adds Gori, assistant professor of civil and environmental engineering at Rice.

A Rice University study will consider how "design strategies aimed at improving civic engagement in stormwater infrastructure could help reduce catastrophic flooding." Photo via Getty Images

Houston university to lead new NSF-back flooding study

risk mitigation

Houston will be the setting of a new three-year National Science Foundation-funded study that focuses on a phenomenon the city is quite familiar with: flooding.

Conducted by Rice University, the study will consider how "design strategies aimed at improving civic engagement in stormwater infrastructure could help reduce catastrophic flooding," according to a statement.

The team will begin its research in the Trinity/Houston Gardens neighborhood and will implement field research, participatory design work and hydrological impact analyses.

Rice professor of anthropology Dominic Boyer and Rice's Gus Sessions Wortham Professor of Architecture Albert Pope are co-principal investigators on the study. They'll be joined by Phil Bedient, director of the Severe Storm Prediction, Education and Evacuation from Disasters Center at Rice, and Jessica Eisma, a civil engineer at the University of Texas at Arlington.

According to Boyer, the study will bring tougher researchers from across disciplines as well as community members and even elementary-aged students.

"Our particular focus will be on green stormwater infrastructure—techniques like bioswale, green roofs and rain gardens—that are more affordable than conventional concrete infrastructure and ones where community members can be more directly involved in the design and implementation phases,” Boyer said. “We envision helping students and other community members design and complete projects like community rain gardens that offer a variety of beneficial amenities and can also mitigate flooding.”

Rice's Severe Storm Prediction, Education and Evacuation from Disasters Center, or SSPEED Center, is a leader in flood mitigation research and innovation.

In 2021, the center developed its FIRST radar-based flood assessment, mapping, and early-warning system based on more than 350 maps that simulate different combinations of rainfall over various areas of the watershed. The system was derived from the Rice/Texas Medical Center Flood Alert System (FAS), which Bedient created 20 years ago. Click here to read more.

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DOE report warns of widespread power blackouts by 2030 amid grid challenges

grid report

Scheduled retirements of traditional power plants, dependence on energy sources like wind and solar, and the growth of energy-gobbling data centers put the U.S. — including Texas — at much greater risk of massive power outages just five years from now, a new U.S. Department of Energy report suggests.

The report says the U.S. power grid won’t be able to sustain the combined impact of plant closures, heavy reliance on renewable energy, and the boom in data center construction. As a result, the risk of power blackouts will be 100 times greater in 2030, according to the report.

“The status quo of more [plant] retirements and less dependable replacement generation is neither consistent with winning the AI race and ensuring affordable energy for all Americans, nor with continued grid reliability … . Absent intervention, it is impossible for the nation’s bulk power system to meet the AI growth requirements while maintaining a reliable power grid and keeping energy costs low for our citizens,” the report says.

Avoiding planned shutdowns of traditional energy plants, such as those fueled by coal and oil, would improve grid reliability, but a shortfall would still persist in the territory served by the Electric Reliability Council of Texas (ERCOT), particularly during the winter, the report says. ERCOT operates the power grid for the bulk of Texas.

According to the report, 104 gigawatts of U.S. power capacity from traditional plants is set to be phased out by 2030. “This capacity is not being replaced on a one-to-one basis,” says the report, “and losing this generation could lead to significant outages when weather conditions do not accommodate wind and solar generation.”

To meet reliability targets, ERCOT would need 10,500 megawatts of additional “perfect” capacity by 2030, the report says. Perfect capacity refers to maximum power output under ideal conditions.

“ERCOT continues to undergo rapid change, and supply additions will have a difficult time keeping up with demand growth,” Brent Nelson, managing director of markets and strategy at Ascend Analytics, a provider of data and analytics for the energy sector, said in a release earlier this summer. “With scarcity conditions ongoing and weather-dependent, expect a volatile market with boom years and bust years.”

Syzygy partners with fellow Houston co. on sustainable aviation fuel facility

SAF production

Houston-based Syzygy Plasmonics has announced a partnership with Velocys, another Houston company, on its first-of-its-kind sustainable aviation fuel (SAF) production project in Uruguay.

Velocys was selected to provide Fischer-Tropsch technology for the project. Fischer-Tropsch technology converts synthesis gas into liquid hydrocarbons, which is key for producing synthetic fuels like SAF.

Syzygy estimates that the project, known as NovaSAF 1, will produce over 350,000 gallons of SAF annually. It is backed by Uruguay’s largest dairy and agri-energy operations, Estancias del Lago, with permitting and equipment sourcing ongoing. Syzygy hopes to start operations by 2027.

"This project proves that profitable SAF production doesn't have to wait on future infrastructure," Trevor Best, CEO of Syzygy Plasmonics, said in a news release. "With Velocys, we're bringing in a complete, modular solution that drives down overall production costs and is ready to scale. Uruguay is only the start."

The NovaSAF 1 facility will convert dairy waste and biogas into drop-in jet fuel using renewable electricity and waste gas via its light-driven GHG e-Reforming technology. The facility is expected to produce SAF with at least an 80 percent reduction in carbon intensity compared to Jet A fuel.

Syzygy will use Velocys’ microFTL technology to convert syngas into high-yield jet fuel. Velocys’ microFTL will help maximize fuel output, which will assist in driving down the cost required to produce synthetic fuel.

"We're proud to bring our FT technology into a project that's changing the game," Matthew Viergutz, CEO of Velocys, added in the release. "This is what innovation looks like—fast, flexible, and focused on making SAF production affordable."

How carbon capture works and the debate about whether it's a future climate solution

Energy Transition

Power plants and industrial facilities that emit carbon dioxide, the primary driver of global warming, are hopeful that Congress will keep tax credits for capturing the gas and storing it deep underground.

The process, called carbon capture and sequestration, is seen by many as an important way to reduce pollution during a transition to renewable energy.

But it faces criticism from some conservatives, who say it is expensive and unnecessary, and from environmentalists, who say it has consistently failed to capture as much pollution as promised and is simply a way for producers of fossil fuels like oil, gas and coal to continue their use.

Here's a closer look.

How does the process work?

Carbon dioxide is a gas produced by burning of fossil fuels. It traps heat close to the ground when released to the atmosphere, where it persists for hundreds of years and raises global temperatures.

Industries and power plants can install equipment to separate carbon dioxide from other gases before it leaves the smokestack. The carbon then is compressed and shipped — usually through a pipeline — to a location where it’s injected deep underground for long-term storage.

Carbon also can be captured directly from the atmosphere using giant vacuums. Once captured, it is dissolved by chemicals or trapped by solid material.

Lauren Read, a senior vice president at BKV Corp., which built a carbon capture facility in Texas, said the company injects carbon at high pressure, forcing it almost two miles below the surface and into geological formations that can hold it for thousands of years.

The carbon can be stored in deep saline or basalt formations and unmineable coal seams. But about three-fourths of captured carbon dioxide is pumped back into oil fields to build up pressure that helps extract harder-to-reach reserves — meaning it's not stored permanently, according to the International Energy Agency and the U.S. Environmental Protection Agency.

How much carbon dioxide is captured?

The most commonly used technology allows facilities to capture and store around 60% of their carbon dioxide emissions during the production process. Anything above that rate is much more difficult and expensive, according to the IEA.

Some companies have forecast carbon capture rates of 90% or more, “in practice, that has never happened,” said Alexandra Shaykevich, research manager at the Environmental Integrity Project’s Oil & Gas Watch.

That's because it's difficult to capture carbon dioxide from every point where it's emitted, said Grant Hauber, a strategic adviser on energy and financial markets at the Institute for Energy Economics and Financial Analysis.

Environmentalists also cite potential problems keeping it in the ground. For example, last year, agribusiness company Archer-Daniels-Midland discovered a leak about a mile underground at its Illinois carbon capture and storage site, prompting the state legislature this year to ban carbon sequestration above or below the Mahomet Aquifer, an important source of drinking water for about a million people.

Carbon capture can be used to help reduce emissions from hard-to-abate industries like cement and steel, but many environmentalists contend it's less helpful when it extends the use of coal, oil and gas.

A 2021 study also found the carbon capture process emits significant amounts of methane, a potent greenhouse gas that’s shorter-lived than carbon dioxide but traps over 80 times more heat. That happens through leaks when the gas is brought to the surface and transported to plants.

About 45 carbon-capture facilities operated on a commercial scale last year, capturing a combined 50 million metric tons of carbon dioxide — a tiny fraction of the 37.8 gigatonnes of carbon dioxide emissions from the energy sector alone, according to the IEA.

It's an even smaller share of all greenhouse gas emissions, which amounted to 53 gigatonnes for 2023, according to the latest report from the European Commission’s Emissions Database for Global Atmospheric Research.

The Institute for Energy Economics and Financial Analysis says one of the world's largest carbon capture utilization and storage projects, ExxonMobil’s Shute Creek facility in Wyoming, captures only about half its carbon dioxide, and most of that is sold to oil and gas companies to pump back into oil fields.

Future of US tax credits is unclear

Even so, carbon capture is an important tool to reduce carbon dioxide emissions, particularly in heavy industries, said Sangeet Nepal, a technology specialist at the Carbon Capture Coalition.

“It’s not a substitution for renewables ... it’s just a complementary technology,” Nepal said. “It’s one piece of a puzzle in this broad fight against the climate change.”

Experts say many projects, including proposed ammonia and hydrogen plants on the U.S. Gulf Coast, likely won't be built without the tax credits, which Carbon Capture Coalition Executive Director Jessie Stolark says already have driven significant investment and are crucial U.S. global competitiveness.