coming soon to Hou

Clean energy startup to expand to Houston with $40M facility

Amogy's tech is designed to enable carbon-free mobility in sectors such as shipping, transportation, and power generation. Photo via Amogy

Brooklyn, New York-based clean energy startup Amogy, which specializes in turning ammonia into power, is spending more than $40 million to convert a Houston building into a manufacturing facility.

Amogy says the 54,000-square-foot, four-acre plant, set to open in 2024, “signifies a pivotal step in [our] journey toward commercialization and its commitment to accelerating the global energy transition.”

Amogy’s ammonia-to-energy system will be assembled at the facility, located at 12221 N. Houston Rosslyn Road. So far, the system has been piloted in a drone, tractor, and semi-trailer truck. Amogy is retrofitting a tugboat to be the world’s first ammonia-powered vessel.

The startup’s product, known as a powerpack, is designed to enable carbon-free mobility in sectors such as shipping, transportation, and power generation.

“Amogy believes the adoption of ammonia as a renewable fuel will play a pivotal role in diversifying the landscape of clean energy solutions, thereby ensuring global energy security,” the company says.

Amogy plans to hire about 200 people for the Houston facility, including manufacturing workers, mechanical technicians, welders, health and safety specialists, operations professionals, and sales professionals.

“The Amogy Houston site will be a state-of-the-art facility able to manufacture our clean energy solution at scale,” says Daniel MacCrindle, chief operations officer at Amogy. “We are working quickly to hire and equip the facility so we can begin production.”

Seonghoon Woo, co-founder and CEO of Amogy, says the startup picked Houston for the facility to be close to customers, suppliers, and prospective employees.

Since being founded in 2020, Amogy has collected nearly $220 million in funding. Investors include Amazon’s Climate Pledge Fund, AP Ventures, SK Innovation, Aramco Ventures, and Mitsubishi.

Trending News

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.”

Trending News