fresh funds

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

Seven projects from Houston companies were granted more than $41 million in federal and non-federal funding through the Methane Emissions Reduction Program. Photo via Canva

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.

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A View From HETI

Hadi Ghasemi, a University of Houston professor, has uncovered a method to release heat from data centers and electronics at record performance. Photo courtesy UH.

A University of Houston professor has developed a new cooling method that can remove heat at least three times more effectively from AI data centers than current technologies.

Hadi Ghasemi, a distinguished professor of Mechanical & Aerospace Engineering at UH, published his findings in two articles in the International Journal of Heat and Mass Transfer. The findings solve a critical issue in the growing AI sector, according to UH.

High-powered AI data centers generate huge amounts of heat due to the GPU and operating systems they use with extreme power densities, which introduce complex thermal challenges. Traditionally, cooling methods, like microchannels, which use flow and spray cooling, have had limitations when exposed to extreme heat flux, according to UH.

Ghasemi’s research, however, found a more effective way to design thin-film evaporation structures to release heat from data centers and electronics at record performance.

Ghasem’s solution coupled topology optimization and AI modeling to determine the best shapes for thin film efficiency, ultimately landing on a branch-like structure—resembling a tree.

The model found that the “branches” needed to be about 50 percent solid and 50 percent empty space for optimum efficiency, and that they could sustain high heat fluxes with minimal thermal resistance.

“These structures could achieve high critical heat flux at much lower superheat compared to traditionally studied structures,” Ghasemi said in a news release. “The new structures can remove heat without having to get as hot as previous removal systems.

Ghasemi’s doctoral candidates, Amirmohammad Jahanbakhsh and Saber Badkoobeh Hezave, also worked on the project. The team believes their results show the impact of a physics-aware, AI design and can help ensure reliability, longevity and stability of AI data centers.

“Beyond achieving record performance, these new findings provide fundamental insight into the governing heat-transfer physics and establishes a rational pathway toward even higher thermal dissipation capacities,” Ghasemi added in the release

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