green polypropylene

Houston companies partner on sustainable plastics alternative

Lummus and Citroniq say their first plant, set for completion in 2027, will produce 400,000 metric tons of green polypropylene each year. Photo via lummustechnology.com

Two Houston companies, Lummus Technology and Citroniq Chemicals, have paired up to build North American plants that produce green polypropylene.

Polypropylene is a thermoplastic used to manufacture items such as plastic packaging, plastic parts, medical supplies, textiles, and fibers. Green polypropylene is made from biomass.

Lummus and Citroniq say their first plant, set for completion in 2027, will produce 400,000 metric tons of green polypropylene each year. The plant will be at an undisclosed location in the Midwest.

In April, Lummus and Citroniq signed a letter of intent to develop Citroniq green polypropylene projects in North America using Lummus’ Verdenesuite of polypropylene technology. Their newly announced licensing and engineering agreements apply to the first of four planned facilities.

“This agreement demonstrates the progress we continue to make with Citroniq in establishing the first world-scale sustainable bio-polypropylene production process in North America,” Romain Lemoine, chief business officer for polymers and petrochemicals at Lummus, says in a news release.

“Combining Lummus’ leadership in polypropylene licensing with Citroniq’s carbon-negative production capabilities will help us meet the growing demand for bio-polypropylene and accelerate the decarbonization of the downstream energy industry,” Lemoine adds.

Citroniq says it’s investing more than $5 billion to expand its E2O process. The process produces carbon-negative plastics and hydrogen-and-carbon compounds called olefins from fully sustainable feedstocks. This eliminates the use of convention fossil-fuel hydrocarbons, Citroniq says.

Mel Badheka, principal and co-founder of Citroniq, says his company aims “to meet the market’s growing need for sustainable carbon-negative polypropylene at a competitive price.”

The global market for green polypropylene was valued at $123.5 billion in 2022, according to Grand View Research. Growth in the sector is being driven in part by the construction industry, the firm says.

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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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