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Houston researchers launch 2 nature-based carbon credit projects

Both projects will seek to develop “tracking and evaluation systems for the emerging nature-based carbon credit market.” Photo via Getty Images

A team at Rice University has announced plans for two research projects that will focus on nature-based carbon credits.

The George R. Brown School of Engineering and the Severe Storm Prediction, Education and Evacuation from Disasters (SSPEED) Center reported that the projects will be funded through a gift from Emissions Reduction Corp. with the goal of advancing global decarbonization through a series of carbon sequestration, avoidance and reduction projects.

Both projects will seek to develop “tracking and evaluation systems for the emerging nature-based carbon credit market” according to a news release.

“The Rice School of Engineering is very interested in research into nature-based engineering solutions,” Luay Nakhleh, the William and Stephanie Sick Dean of Engineering and a professor of computer science and biosciences at Rice, says in the release. “For too long, we have used nature as a platform but not as a partner. This research will hopefully open the door on a new era of nature-based engineering. Moreover, this is a very timely initiative as bringing science to bear on the emergent carbon credit economy is of critical importance to meeting the challenges of a changing climate.”

For the first project, which is expected to take six months, the SSPEED Center will be commissioning the design of a digital monitoring, reporting and verification (dMRV) system for tracking nature-based carbon credits using satellite and drone imagery to monitor coastal blue carbon projects, soil, and forest projects.

The direct input of this data into blockchain and other record-keeping technologies will be the main part of the system. .A Houston-based local nonprofit carbon registry BC Carbon, and blockchain provider Change Code will also take part in the research.

The second project will see the SSPEED Center undertake hydrologic computer modeling, and take 12 to 18 months to complete. This will help determine the effectiveness of restoring native prairie grasslands as a flood control technique where a portion of the Brazos River will be modeled relative to predict increases in the frequency of “100-year floods” via climate change. Overall, it will evaluate whether prairie restoration funded via soil carbon credits could mitigate flooding risk, which could eliminate the need to raise the 30 miles of levees in Fort Bend County downstream of the carbon project. The George Foundation,BCarbon, and Fort Bend County Flood Control District will work together on this project.

“Using nature to solve flooding problems has been discussed but seldom executed at the level of a major river system,” Herman Brown Professor of Engineering and SSPEED Center director at Rice Phillip Bedient adds. “We are excited that carbon credits and prairie restoration might break open this nature-based flood engineering area.”

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A View From HETI

UH researchers have developed a thin film that could allow AI chips to run cooler and faster. Photo courtesy University of Houston.

A team of researchers at the University of Houston has developed an innovative thin-film material that they believe will make AI devices faster and more energy efficient.

AI data centers consume massive amounts of electricity and use large cooling systems to operate, adding a strain on overall energy consumption.

“AI has made our energy needs explode,” Alamgir Karim, Dow Chair and Welch Foundation Professor at the William A. Brookshire Department of Chemical and Biomolecular Engineering at UH, explained in a news release. “Many AI data centers employ vast cooling systems that consume large amounts of electricity to keep the thousands of servers with integrated circuit chips running optimally at low temperatures to maintain high data processing speed, have shorter response time and extend chip lifetime.”

In a report recently published in ACS Nano, Karim and a team of researchers introduced a specialized two-dimensional thin film dielectric, or electric insulator. The film, which does not store electricity, could be used to replace traditional, heat-generating components in integrated circuit chips, which are essential hardware powering AI.

The thinner film material aims to reduce the significant energy cost and heat produced by the high-performance computing necessary for AI.

Karim and his former doctoral student, Maninderjeet Singh, used Nobel prize-winning organic framework materials to develop the film. Singh, now a postdoctoral researcher at Columbia University, developed the materials during his doctoral training at UH, along with Devin Shaffer, a UH professor of civil engineering, and doctoral student Erin Schroeder.

Their study shows that dielectrics with high permittivity (high-k) store more electrical energy and dissipate more energy as heat than those with low-k materials. Karim focused on low-k materials made from light elements, like carbon, that would allow chips to run cooler and faster.

The team then created new materials with carbon and other light elements, forming covalently bonded sheetlike films with highly porous crystalline structures using a process known as synthetic interfacial polymerization. Then they studied their electronic properties and applications in devices.

According to the report, the film was suitable for high-voltage, high-power devices while maintaining thermal stability at elevated operating temperatures.

“These next-generation materials are expected to boost the performance of AI and conventional electronics devices significantly,” Singh added in the release.

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This article originally appeared on our sister site, InnovationMap.

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