Rice University researchers pioneer climatetech breakthroughs in clean water nanotechnology

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Decades of research have culminated in the creation of the Water Technologies Entrepreneurship and Research (WaTER) Institute at Rice University. Photo via Pexels

Researchers at Rice University are making cleaner water through the use of nanotech.

Decades of research have culminated in the creation of the Water Technologies Entrepreneurship and Research (WaTER) Institute launched in January 2024 and its new Rice PFAS Alternatives and Remediation Center (R-PARC).

“Access to safe drinking water is a major limiting factor to human capacity, and providing access to clean water has the potential to save more lives than doctors,” Rice’s George R. Brown Professor of Civil and Environmental Engineering Pedro Alvarez says in a news release.

The WaTER Institute has made advancements in clean water technology research and applications established during a 10-year period of Nanotechnology Enabled Water Treatment (NEWT), which was funded by the National Science Foundation. R-PARC will use the institutional investments, which include an array of PFAS-dedicated advanced analytical equipment.

Alvarez currently serves as director of NEWT and the WaTER Institute. He’s joined by researchers that include Michael Wong, Rice’s Tina and Sunit Patel Professor in Molecular Nanotechnology, chair and professor of chemical and biomolecular engineering and leader of the WaTER Institute’s public health research thrust, and James Tour, Rice’s T.T. and W.F. Chao Professor of Chemistry and professor of materials science and nanoengineering.

“We are the leaders in water technologies using nano,” adds Wong. “Things that we’ve discovered within the NEWT Center, we’ve already started to realize will be great for real-world applications.”

The NEWT center plans to equip over 200 students to address water safety issues, and assist/launch startups.

“Across the world, we’re seeing more serious contamination by emerging chemical and biological pollutants, and climate change is exacerbating freshwater scarcity with more frequent droughts and uncertainty about water resources,” Alvarez said in a news release. “The Rice WaTER Institute is growing research and alliances in the water domain that were built by our NEWT Center.”

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This article originally ran on InnovationMap.

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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.

University of Houston professor Xiaonan Shan and the rest of his research team are celebrating fresh funding from a federal grant. Photo via UH.edu

Houston scientists land $1M NSF funding for AI-powered clean energy project

A team of scientists from the University of Houston, in collaboration with Howard University in Washington D.C., has received a $1 million award from the National Science Foundation for a project that aims to automate the discovery of new clean-energy catalysts.

The project, dubbed "Multidisciplinary High-Performance Computing and Artificial Intelligence Enabled Catalyst Design for Micro-Plasma Technologies in Clean Energy Transition," aims to use machine learning and AI to improve the efficiency of catalysts in hydrogen generation, carbon capture and energy storage, according to UH.

“This research directly contributes to these global challenges,” Jiefu Chen, the principal investigator of the project and associate professor of electrical and computer engineering, said in a statement. “This interdisciplinary effort ensures comprehensive and innovative solutions to complex problems.”

Chen is joined by Lars Grabow, professor of chemical and biomolecular engineering; Xiaonan Shan, associate professor of electrical and computing engineering; and Xuquing Wu, associate professor of information science technology. Su Yan, an associate professor of electrical engineering and computer science at Howard University, is collaborating on the project.

The University of Houston team: Xiaonan Shan, associate professor electrical and computing engineering, Jiefu Chen, associate professor of electrical and computer engineering, Lars Grabow, professor of chemical and biomolecular engineering, and Xuquing Wu, associate professor of information science technology. Photo via UH.edu

The team will create a robotic synthesis and testing facility that will automate the experimental testing and verification process of the catalyst design process, which traditionally is slow-going. It will implement AI and advanced, unsupervised machine learning techniques, and have a special focus on plasma reactions.

The project has four main focuses, according to UH.

Using machine learning to discover materials for plasma-assisted catalytic reactions
Developing a model to simulate complex interactions to better understand microwave-plasma-assisted heating
Designing catalysts supports for efficient microwave-assisted reactions
Developing a bench scale reactor to demonstrate the efficiency of the catalysts support system

Additionally, the team will put the funding toward the development of a multidisciplinary research and education program that will train students on using machine learning for topics like computational catalysis, applied electromagnetics and material synthesis. The team is also looking to partner with industry on related projects.

“This project will help create a knowledgeable and skilled workforce capable of addressing critical challenges in the clean energy transition,” Grabow added in a statement. “Moreover, this interdisciplinary project is going to be transformative in that it advances insights and knowledge that will lead to tangible economic impact in the not-too-far future.”

This spring, UH launched a new micro-credential course focused on other applications for AI and robotics in the energy industry.

Around the same time, Microsoft's famous renowned co-founder Bill Gates spoke at CERAWeek to a standing-room-only crowd on the future of the industry. Also founder of Breakthrough Energy, Gates addressed the topic of AI.

Re:3D has moved onto the next phase of a NSF program focused on circular economy innovation. Photo via re3d.org

Houston-founded co. moves on in NSF circular economy accelerator

next phase

An innovative project led by Houston-founded re:3D Inc. is one of six to move forward to the next phase of the National Science Foundation's Convergence Accelerator that aims to drive solutions with societal and economic impact.

The sustainable 3D printer company will receive up to $5 million over three years as it advances on to Phase 2 of the program for its ReCreateIt project, according to a statement from the NSF. Co-funded by Australia's national science agency, the Commonwealth Scientific and Industrial Research Organisation, or CSIRO, ReCreateIt enables low-income homeowners to design sustainable home goods using recycled plastic waste through 3D-printing at its net-zero manufacturing lab.

The project is in partnership with Austin Habitat for Humanity ReStores and researchers from the University of Wollongong and Western Sydney University. CSIRO is funding the Australian researchers.

In Phase II the teams will receive training on product development, intellectual property, financial resources, sustainability planning and communications and outreach. The goal of the accelerator is to promote a "circular economy," in which resources are reused, repaired, recycled or refurbished for as long as possible.

"Progress toward a circular economy is vital for our planet's health, but it is a complex challenge to tackle," Douglas Maughan, head of the NSF Convergence Accelerator program, said in the statement. "The NSF Convergence Accelerator program is bringing together a wide range of expertise to develop critical, game-changing solutions to transition toward a regenerative growth model that reduces pressure on natural resources, creates sustainable growth and jobs, drastically reduces waste and ultimately has a positive impact on our environment and society. Phase 2 teams are expected to have strong partnerships to ensure their solutions are sustained beyond NSF support."

Other teams that are moving forward in the accelerator include:

FUTUR-IC: A global microchip sustainability alliance led by MIT
PFACTS: Led by IBM's Almaden Research Center and aiming to replace, redesign and remediate fluorine-containing per- and polyfluoroalkyl substances (PFAS)
SOLAR: A team led by Battelle Memorial Institute using photovoltaic circularity to develop the technology needed to achieve sustainable solar recycling
SpheriCity: A cross-sector tool that examines how plastics, organics and construction and demolition materials flow through local communities developed by the University of Georgia Research Foundation Inc.
Topological Electric: Another MIT-led team, this group aims to develop electronic and energy-harvesting device prototypes based on topological materials.

Re:3d and 15 other teams were first named to the Convergence Accelerator in 2022 with a total investment of $11.5 million. At the end of Phase 1, the teams participated in a formal Phase 2 proposal and pitch, according to the NSF. The Convergence Accelerator was launched in 2019 as part of the NSF's Directorate for Technology, Innovation and Partnerships.

This is the latest project from re:3D to land national attention and funding. Last year the company was one of 12 to receive up to $850,000 from NASA's SBIR Ignite pilot for its project that aimed to develop a recycling system that uses a 3D printer to turn thermoplastic waste generated in orbit into functional and useful objects, according to the project's proposal.

In 2022, it was also among the winners of an inaugural seed fund expo from the U.S. Small Business Administration. It also earned the prestigious Tibbetts Award from the SBA in 2021. The award honors small businesses that are at the forefront of technology.

Re:3D Inc. was founded in 2013 by NASA contractors Samantha Snabes and Matthew Fiedler and is based in Clear Lake. It's known for its GigaBot 3D printer, which uses recycled materials to create larger devices. The company announced its new Austin headquarters earlier this year.

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This article originally ran on InnovationMap.

The UH team is developing ways to use machine learning to ensure that power systems can continue to run efficiently when pulling their energy from wind and solar sources. Photo via Getty Images

Houston researcher wins competitive NSF award for work tying machine learning to the power grid

grant funding

An associate professor at the University of Houston received the highly competitive National Science Foundation CAREER Award earlier this month for a proposal focused on integrating renewable resources to improve power grids.

The award grants more than $500,000 to Xingpeng Li, assistant professor of electrical and computer engineering and leader of the Renewable Power Grid Lab at UH, to continue his work on developing ways to use machine learning to ensure that power systems can continue to run efficiently when pulling their energy from wind and solar sources, according to a statement from UH. This work has applications in the events of large disturbances to the grid.

Li explains that currently, power grids run off of converted, stored kinetic energy during grid disturbances.

"For example, when the grid experiences sudden large generation losses or increased electrical loads, the stored kinetic energy immediately converted to electrical energy and addressed the temporary shortfall in generation,” Li said in a statement. “However, as the proportion of wind and solar power increases in the grid, we want to maximize their use since their marginal costs are zero and they provide clean energy. Since we reduce the use of those traditional generators, we also reduce the power system inertia (or stored kinetic energy) substantially.”

Li plans to use machine learning to create more streamlined models that can be implemented into day-ahead scheduling applications that grid operators currently use.

“With the proposed new modeling and computational approaches, we can better manage grids and ensure it can supply continuous quality power to all the consumers," he said.

In addition to supporting Li's research and model creations, the funds will also go toward Li and his team's creation of a free, open-source tool for students from kindergarten up through their graduate studies. They are also developing an “Applied Machine Learning in Power Systems” course. Li says the course will help meet workforce needs.

The CAREER Award recognizes early-career faculty members who “have the potential to serve as academic role models in research and education and to lead advances in the mission of their department or organization,” according to the NSF. It's given to about 500 researchers each year.

Earlier this year, Rice assistant professor Amanda Marciel was also granted an NSF CAREER Award to continue her research in designing branch elastomers that return to their original shape after being stretched. The research has applications in stretchable electronics and biomimetic tissues.

Bruce Weisman's career has come full circle with a recent award. Photo via rice.edu

Houston scientist earns nanocarbon research award named after fellow Rice chemist

full circle

Rice University chemist Bruce Weisman has been awarded the Richard E. Smalley Research Award for his decades of nanocarbon research, according to a statement from the university.

The honor is a full circle moment for Wiseman, as the award is named after Weisman's long-time Rice colleague and friend, Rick Smalley, who Wiseman said helped shape his career.

“It changed my career,” Weisman said in a statement from Rice about his work with Smalley. “Everything I’ve done in the last 20 years has been an outgrowth, a consequence of that.”

Still, Weisman has earned many achievements of his own. He joined Rice's faculty in 1979 as a spectroscopist and first began working with Smalley in 1985 after Smalley's groundbreaking discovery of carbon 60, or buckyballs. The discovery proved that carbon could take on other forms and it won Smalley and his teammates the 1996 Nobel Prize in Chemistry.

Weisman and Smalley then collaborated on experiments to measure the electronic spectra of carbon 60 and carbon 70. In the early 2000s, they published two seminal nanotube studies in Science in which Weisman shared his new faster, simpler and cheaper spectrometric method of assaying nanotubes, according to Rice.

In 2004 Weisman founded a company, Applied NanoFluorescence, to commercialize the technology. The company still exists and continues to research the optical properties of carbon nanotubes.

He is also an elected fellow of the American Physical Society, the American Association for the Advancement of Science and the the Electrochemical Society (ECS) and former chair of the ECS Nanocarbons Division. The ECS will present Weisman with the 2024 Smalley Research Award in May. The award is given every two years to recognize “outstanding achievements in, or scientific contributions to, the science of fullerenes, nanotubes and carbon nanostructures.”

Earlier this month, another Rice professor won a highly competitive award. Assistant professor Amanda Marciel, the William Marsh Rice Trustee Chair of chemical and biomolecular engineering, was granted a National Science Foundation's CAREER Award that comes with $670,406 over five years to continue her research in designing branch elastomers.

The grant will also create opportunities in soft matter research for undergraduates and underrepresented scientists. Click here to learn more.

Meanwhile, another Houston-based chemist was also recently recognized for their work. Baylor College of Medicine's Livia Schiavinato Eberlin was named the 2024 recipient of the Norman Hackerman Award in Chemical Research in December.

The award from the Houston-based Welch Foundation recognizes the accomplishments of chemical scientists in Texas who are early in their careers. Eberlin will be granted $100,000 for this honor.

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Houston companies scoop up $31M in funds from DOE, EPA methane emissions program

fresh funds

The U.S. Department of Energy and the U.S. Environmental Protection Agency announced the selection of seven projects from Houston companies to receive funding through the Methane Emissions Reduction Program.

The projects are among 43 others nationwide, including 12 from Texas, that reduce, monitor, measure, and quantify methane emissions from the oil and gas sector. The DOE and EPA awarded $850 million in total through the program.

The Houston companies picked up $31.7 million in federal funding through the program in addition to more than $9.5 million in non-federal dollars.

“I’m excited about the opportunities these will create internally but even more so the creation of jobs and training opportunities for the communities in which we work,” Scott McCurdy, Encino Environmental Services CEO, said in a news release. His company received awards for two projects.

“These projects will allow us to further support and strengthen the U.S. Energy industry’s ability to deliver clean, reliable, and affordable energy globally,” he added.

The Houston-area awards included:

DaphneTech USA LLC

Total funding: $5.8 million (approximately $4.5 million in federal, $1.3 million in non-federal)

The award was granted for the company’s Daphne and Williams Methane Slip Abatement Plasma-Catalyst Scale-Up project. Daphne will study how its SlipPure technology, a novel exhaust gas cleaning system that abates methane and exhaust gas pollution from natural gas-fueled engines, can be economically viable across multiple engine types and operating conditions.

Baker Hughes Energy Transition LLC

Total funding: $7.47 million (approximately $6 million in federal, $1.5 million in non-federal)

The award was granted for the company’s Advancing Low Cost CH4 Emissions Reduction from Flares through Large Scale Deployment of Retrofittable and Adaptive Technology project. The project aims to develop a scalable, integrated methane emissions reduction system for flares based on optical gas imaging and estimation algorithms.

Encino Environmental Services

Total funding: $15.17 million (approximately $11 million in federal, $4.17 million in non-federal)

The award was granted for two projects. The Advanced Methane Reduction System: Integrating Infrared and Visual Imaging to Assess Net Heating Value at the Combustion Zone and Determine Combustion Efficiency to Enhance Flaring Performance project aims to develop and deploy an advanced continuous emissions monitoring system. It’s Advancing Methane Emissions Reduction through Innovative Technology project will develop and deploy a technology using sensors and composite materials to address emissions originating in storage tanks.

Envana Software Solutions

Total funding: $5.26 million (approximately $4.2 million in federal, $1 million in non-federal)

The award was granted for the company’s Leak Detection and Reduction Software to Identify Methane Emissions and Trigger Mitigation at Oil and Gas Production Facilities Based on SCADA Data project. It aims to improve its Recon software for monitoring methane emissions and develop partnerships with local universities and organizations.

Capwell Services Inc.

Total funding: $4.19 million (approximately $3.3 million in federal, $837,000 in non-federal)

The award was granted for its Methane Emissions Abatement Technology for Low-Flow and Intermittent Emission Sources project. It aims to to deploy and field-test a methane abatement unit and improve air quality and health outcomes for communities near production facilities and establish field technician internships for local residents.

Blue Sky Measurements

Total funding: $3.41 million (approximately $2.7 million in federal, $683,000 in non-federal)

The award was granted for its Field Validation of Novel Fixed Position Optical Sensor for Fugitive Methane Emission Detection Quantification and Location with Real-Time Notification for Rapid Mitigation project. It aims to field test an optical sensing technology at six well sites in the Permian Basin.

Southern Methodist University, The University of Texas at Austin, Texas A&M Engineering Experiment Station and Hyliion Inc. were other Texas-based organizations to earn awards.

See the full list of projects here.

Texas university's 'WaterHub' will dramatically reduce water usage by 40%

Sustainable Move

A major advancement in sustainability is coming to one Texas university. A new UT WaterHub at the University of Texas at Austin will be the largest facility of its kind in the U.S. and will transform how the university manages its water resources.

It's designed to work with natural processes instead of against them for water savings of an estimated 40 percent. It's slated for completion in late 2027.

The university has had an active water recovery program since the 1980s. Still, water is becoming an increasing concern in Austin. According to Texas Living Waters, a coalition of conservation groups, Texas loses enough water annually to fill Lady Bird Lake roughly 89 times over.

As Austin continues to expand and face water shortages, the region's water supply faces increased pressure. The UT WaterHub plans to address this challenge by recycling water for campus energy operations, helping preserve water resources for both the university and local communities.

The 9,600-square-foot water treatment facility will use an innovative filtration approach. To reduce reliance on expensive machinery and chemicals, the system uses plants to naturally filter water and gravity to pull it in the direction it needs to go. Used water will be gathered from a new collection point near the Darrell K Royal Texas Memorial Stadium and transported to the WaterHub, located in the heart of the engineering district. The facility's design includes a greenhouse viewable to the public, serving as an interactive learning space.

Beyond water conservation, the facility is designed to protect the university against extreme weather events like winter storms. This new initiative will create a reliable backup water supply while decreasing university water usage, and will even reduce wastewater sent to the city by up to 70 percent.

H2O Innovation, UT’s collaborator in this project, specializes in water solutions, helping organizations manage their water efficiently.

"By combining cutting-edge technology with our innovative financing approach, we’re making it easier for organizations to adopt sustainable water practices that benefit both their bottom line and the environment, paving a step forward in water positivity,” said H2O Innovation president and CEO Frédéric Dugré in a press release.

The university expects significant cost savings with this project, since it won't have to spend as much on buying water from the city or paying fees to dispose of used water. Over the next several years, this could add up to millions of dollars.

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A version of this story originally appeared on our sister site, CultureMap Austin.

Report: Texas solar power, battery storage helped stabilize grid in summer 2024, but challenges remain

by the numbers

Research from the Federal Reserve Bank of Dallas shows that solar power and battery storage capacity helped stabilize Texas’ electric grid last summer.

Between June 1 and Aug. 31, solar power met nearly 25 percent of midday electricity demand within the Electric Reliability Council of Texas (ERCOT) power grid. Rising solar and battery output in ERCOT assisted Texans during a summer of triple-digit heat and record load demands, but the report fears that the state’s power load will be “pushed to its limits” soon.

The report examined how the grid performed during more demanding hours. At peak times, between 11 a.m. and 2 p.m. in the summer of 2024, solar output averaged nearly 17,000 megawatts compared with 12,000 megawatts during those hours in the previous year. Between 6 p.m. and 9 p.m., discharge from battery facilities averaged 714 megawatts in 2024 after averaging 238 megawatts for those hours in 2023. Solar and battery output have continued to grow since then, according to the report.

“Batteries made a meaningful contribution to what those shoulder periods look like and how much scarcity we get into during these peak events,” ERCOT CEO Pablo Vegas said at a board of directors conference call.

Increases in capacity from solar and battery-storage power in 2024 also eclipsed those of 2023. In 2023 ECOT added 4,570 megawatts of solar, compared to adding nearly 9,700 megawatts in 2024. Growth in battery storage capacity also increased from about 1,500 megawatts added in 2023 to more than 4,000 megawatts added in 2024. Natural gas capacity also saw increases while wind capacity dropped by about 50 percent.

Texas’ installation of utility-scale solar surpassed California’s in the spring of last year, and jumped from 1,900 megawatts in 2019 to over 20,000 megawatts in 2024 with solar meeting about 50 percent of Texas' peak power demand during some days.

While the numbers are encouraging, the report states that there could be future challenges, as more generating capacity will be required due to data center construction and broader electrification trends. The development of generating more capacity will rely on multiple factors like price signals and market conditions that invite more baseload and dispatchable generating capacity, which includes longer-duration batteries, and investment in power purchase agreements and other power arrangements by large-scale consumers, according to the report.

Additionally, peak demand during winter freezes presents challenges not seen in the summer. For example, in colder months, peak electricity demand often occurs in the early morning before solar energy is available, and it predicts that current battery storage may be insufficient to meet the demand. The analysis indicated a 50% chance of rolling outages during a cold snap similar to December 2022 and an 80% chance if conditions mirror the February 2021 deep freeze at the grid’s current state.

The report also claimed that ERCOT’s energy-only market design and new incentive structures, such as the Texas Energy Fund, do not appear to be enough to meet the predicted future magnitude and speed of load growth.

Read the full report here.

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