HyVelocity funding

Houston's hydrogen revolution gets up to $1.2B federal boost to power Gulf Coast’s clean energy future

The U.S. Department of Energy funding is earmarked for the new HyVelocity Hub. Photo via Getty Images

The emerging low-carbon hydrogen ecosystem in Houston and along the Texas Gulf Coast is getting as much as a $1.2 billion lift from the federal government.

The U.S. Department of Energy funding, announced November 20, is earmarked for the new HyVelocity Hub. The hub — backed by energy companies, schools, nonprofits, and other organizations — will serve the country’s biggest hydrogen-producing area. The region earns that status thanks to more than 1,000 miles of dedicated hydrogen pipelines and almost 50 hydrogen production plants.

“The HyVelocity Hub demonstrates the power of collaboration in catalyzing economic growth and creating value for communities as we build a regional hydrogen economy that delivers benefits to Gulf Coast communities,” says Paula Gant, president and CEO of Des Plaines, Illinois-based GTI Energy, which is administering the hub.

HyVelocity, which aims to become the largest hydrogen hub in the country, has already received about $22 million of the $1.2 billion in federal funding to kickstart the project.

Organizers of the hydrogen project include:

  • Arlington, Virginia-based AES Corp.
  • Air Liquide, whose U.S. headquarters is in Houston
  • Chevron, which is moving its headquarters to Houston
  • Spring-based ExxonMobil
  • Lake Mary, Florida-based Mitsubishi Power Americas
  • Denmark-based Ørsted
  • Center for Houston’s Future
  • Houston Advanced Research Center
  • University of Texas at Austin

The hub’s primary contractor is HyVelocity LLC. The company says the hub could reduce carbon dioxide emissions by up to seven million metric tons per year and create as many as 45,000 over the life of the project.

HyVelocity is looking at several locations in the Houston area and along the Gulf Coast for large-scale production of hydrogen. The process will rely on water from electrolysis along with natural gas from carbon capture and storage. To improve distribution and lower storage costs, the hub envisions creating a hydrogen pipeline system.

Clean hydrogen generated by the hub will help power fuel-cell electric trucks, factories, ammonia plants, refineries, petrochemical facilities, and marine fuel operations.

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A View From HETI

Researchers have secured $3.3 million in funding to develop an AI-powered subsurface sensing system aimed at improving the safety and efficiency of underground power line installation. Photo via Getty Images

Researchers from the University of Houston — along with a Hawaiian company — have received $3.3 million in funding to explore artificial intelligence-backed subsurface sensing system for safe and efficient underground power line installation.

Houston's power lines are above ground, but studies show underground power is more reliable. Installing underground power lines is costly and disruptive, but the U.S. Department of Energy, in an effort to find a solution, has put $34 million into its new GOPHURRS program, which stands for Grid Overhaul with Proactive, High-speed Undergrounding for Reliability, Resilience, and Security. The funding has been distributed across 12 projects in 11 states.

“Modernizing our nation’s power grid is essential to building a clean energy future that lowers energy costs for working Americans and strengthens our national security,” U.S. Secretary of Energy Jennifer M. Granholm says in a DOE press release.

UH and Hawaii-based Oceanit are behind one of the funded projects, entitled “Artificial Intelligence and Unmanned Aerial Vehicle Real-Time Advanced Look-Ahead Subsurface Sensor.”

The researchers are looking a developing a subsurface sensing system for underground power line installation, potentially using machine learning, electromagnetic resistivity well logging, and drone technology to predict and sense obstacles to installation.

Jiefu Chen, associate professor of electrical and computer engineering at UH, is a key collaborator on the project, focused on electromagnetic antennas installed on UAV and HDD drilling string. He's working with Yueqin Huang, assistant professor of information science technology, who leads the geophysical signal processing and Xuqing Wu, associate professor of computer information systems, responsible for integrating machine learning.

“Advanced subsurface sensing and characterization technologies are essential for the undergrounding of power lines,” says Chen in the release. “This initiative can enhance the grid's resilience against natural hazards such as wildfires and hurricanes.”

“If proven successful, our proposed look-ahead subsurface sensing system could significantly reduce the costs of horizontal directional drilling for installing underground utilities,” Chen continues. “Promoting HDD offers environmental advantages over traditional trenching methods and enhances the power grid’s resilience.”

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