According to Houston-based ENGlobal, the company "has more promising opportunities for significant new business than at any time in [the] company's history." Photo via Getty Images

For Houston-based ENGlobal Corp., a provider of engineering and automation services geared toward the energy industry, renewable fuel facilities are a business pipeline gushing with opportunity.

ENGlobal's potential contracts for renewable fuels projects currently exceed $320 million, says Bill Coskey, the company's founder, president, and CEO. That's about six times the amount of ENGlobal's revenue through the first nine months of this year — $52.9 million.

During the company's third-quarter earnings call November 5, Coskey said publicly traded ENGlobal "has more promising opportunities for significant new business than at any time in our company's history."

Many of those opportunities stem from ENGlobal's shift a couple of years ago to a sharp focus on the renewable energy sector. This includes building utility-scale systems to store wind and solar power, and supplying modular engineered process plants for forms of energy like hydrogen and renewable diesel. Modular process plants consist of separately engineered and automated modules that are made off-site and assembled on-site.

"Manufacturing plants based on modular equipment are emerging as a viable and beneficial alternative to conventional stick-built processing plants. Modular equipment offers several benefits, including flexibility in plant siting, fewer safety concerns during construction, and ease of equipment modification," according to the American Institute of Chemical Engineers.

ENGlobal is engineering and fabricating a modular hydrogen plant for a renewal diesel facility scheduled for completion in May. Incorporating proprietary technology from Denmark-based Haldor Topsoe (which has two offices and one plant in the Houston area), this hydrogen plant will consume about 20 percent less feed and fuel than conventional hydrogen plants, leading to lower operating costs and a smaller carbon footprint. It's the first facility of its kind in the U.S. This $25 million project falls into a bucket of modular process plants — valued at $10 million to $200 million each — that ENGlobal typically pursues.

ENGlobal's emphasis on renewable energy is paying off, especially now. That's because this sector is less susceptible to economic harm caused by the coronavirus pandemic and to the downturn in the oil and gas industry, according to Coskey.

"To the contrary, the green and renewable energy sector is driven by a different set of project economics — the majority of which play directly to our core strengths and capabilities," Coskey said during the November 5 earnings call.

ENGlobal comprises two business units that are capitalizing on those core strengths and capabilities:

  • Engineering, procurement, and construction management
  • Automation

Through September 26, the automation segment of the business accounted for 63 percent of the company's revenue this year, with engineering, procurement, and construction at 37 percent. In the third quarter, the balance was roughly 50-50.

For the nine-month period ended September 26, ENGlobal posted a 33 percent increase in revenue compared with the same period a year earlier. Revenue for the period rose 37 percent in the automation segment of the business and 27 percent in the engineering, procurement, and construction management segment.

Looking ahead, Coskey says plants like the one employing the Haldor Topsoe technology are "a big area of growth for us."

"We've built a business which is really vertically integrated. We can engineer and design, we can mechanically fabricate the processing modules, we can automate them, we can go onto the site and start them up. So we have full-service capabilities," Coskey says in an interview.

Those capabilities are helping ENGlobal, which Coskey started in 1985, capitalize on what he dubs the "energy revolution" in the U.S.

"Oil and gas has a long runway and is sometimes not given enough credit," he says. "But I can tell you that the capital spending for traditional oil and gas projects pretty much dried up during the course of this year. And we had to look for other sources of work for our people, so we were fortunate to have these renewable energy projects to work on."

Evercore ESI predicts capital spending on energy exploration and production in the U.S. will fall 43 percent this year compared with 2019. Meanwhile, S&P Global Market Intelligence forecasts $14.26 billion in capital spending this year on renewable energy by major U.S. utilities, up more than 20 percent from an earlier projection for 2020. The share of U.S. electricity generation from renewable energy is expected to increase from 18 percent in 2019 to 20 percent this year and 21 percent in 2021, the U.S. Energy Information Administration says.

"There's a lot of money that used to flow into oil and gas projects that now seems to be flowing into renewable energy projects," Coskey says. "We were lucky to identify that early and be positioned to capture some of that."

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Houston researchers develop material to boost AI speed and cut energy use

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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.

Houston to become 'global leader in brain health' and more innovation news

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Editor's note: The most-read Houston innovation news this month is centered around brain health, from the launch of Project Metis to Rice''s new Amyloid Mechanism and Disease Center. Here are the five most popular InnovationMap stories from December 1-15, 2025:

1. Houston institutions launch Project Metis to position region as global leader in brain health

The Rice Brain Institute, UTMB's Moody Brain Health Institute and Memorial Hermann’s comprehensive neurology care department will lead Project Metis. Photo via Unsplash.

Leaders in Houston's health care and innovation sectors have joined the Center for Houston’s Future to launch an initiative that aims to make the Greater Houston Area "the global leader of brain health." The multi-year Project Metis, named after the Greek goddess of wisdom and deep thought, will be led by the newly formed Rice Brain Institute, The University of Texas Medical Branch's Moody Brain Health Institute and Memorial Hermann’s comprehensive neurology care department. The initiative comes on the heels of Texas voters overwhelmingly approving a ballot measure to launch the $3 billion, state-funded Dementia Prevention and Research Institute of Texas (DPRIT). Continue reading.

2.Rice University researchers unveil new model that could sharpen MRI scans

New findings from a team of Rice University researchers could enhance MRI clarity. Photo via Unsplash.

Researchers at Rice University, in collaboration with Oak Ridge National Laboratory, have developed a new model that could lead to sharper imaging and safer diagnostics using magnetic resonance imaging, or MRI. In a study published in The Journal of Chemical Physics, the team of researchers showed how they used the Fokker-Planck equation to better understand how water molecules respond to contrast agents in a process known as “relaxation.” Continue reading.

3. Rice University launches new center to study roots of Alzheimer’s and Parkinson’s

The new Amyloid Mechanism and Disease Center will serve as the neuroscience branch of Rice’s Brain Institute. Photo via Unsplash.

Rice University has launched its new Amyloid Mechanism and Disease Center, which aims to uncover the molecular origins of Alzheimer’s, Parkinson’s and other amyloid-related diseases. The center will bring together Rice faculty in chemistry, biophysics, cell biology and biochemistry to study how protein aggregates called amyloids form, spread and harm brain cells. It will serve as the neuroscience branch of the Rice Brain Institute, which was also recently established. Continue reading.

4. Baylor center receives $10M NIH grant to continue rare disease research

BCM's Center for Precision Medicine Models has received funding that will allow it to study more complex diseases. Photo via Getty Images

Baylor College of Medicine’s Center for Precision Medicine Models has received a $10 million, five-year grant from the National Institutes of Health that will allow it to continue its work studying rare genetic diseases. The Center for Precision Medicine Models creates customized cell, fly and mouse models that mimic specific genetic variations found in patients, helping scientists to better understand how genetic changes cause disease and explore potential treatments. Continue reading.

5. Luxury transportation startup connects Houston with Austin and San Antonio

Shutto is a new option for Houston commuters. Photo courtesy of Shutto

Houston business and leisure travelers have a luxe new way to hop between Texas cities. Transportation startup Shutto has launched luxury van service connecting San Antonio, Austin, and Houston, offering travelers a comfortable alternative to flying or long-haul rideshare. Continue reading.

Texas falls to bottom of national list for AI-related job openings

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For all the hoopla over AI in the American workforce, Texas’ share of AI-related job openings falls short of every state except Pennsylvania and Florida.

A study by Unit4, a provider of cloud-based enterprise resource planning (ERP) software for businesses, puts Texas at No. 49 among the states with the highest share of AI-focused jobs. Just 9.39 percent of Texas job postings examined by Unit4 mentioned AI.

Behind Texas are No. 49 Pennsylvania (9.24 percent of jobs related to AI) and No. 50 Florida (9.04 percent). One spot ahead of Texas, at No. 47, is California (9.56 percent).

Unit4 notes that Texas’ and Florida’s low rankings show “AI hiring concentration isn’t necessarily tied to population size or GDP.”

“For years, California, Texas, and New York dominated tech hiring, but that’s changing fast. High living costs, remote work culture, and the democratization of AI tools mean smaller states can now compete,” Unit4 spokesperson Mark Baars said in a release.

The No. 1 state is Wyoming, where 20.38 percent of job openings were related to AI. The Cowboy State was followed by Vermont at No. 2 (20.34 percent) and Rhode Island at No. 3 (19.74 percent).

“A company in Wyoming can hire an AI engineer from anywhere, and startups in Vermont can build powerful AI systems without being based in Silicon Valley,” Baars added.

The study analyzed LinkedIn job postings across all 50 states to determine which ones were leading in AI employment. Unit4 came up with percentages by dividing the total number of job postings in a state by the total number of AI-related job postings.

Experts suggest that while states like Texas, California and Florida “have a vast number of total job postings, the sheer volume of non-AI jobs dilutes their AI concentration ratio,” according to Unit4. “Moreover, many major tech firms headquartered in California are outsourcing AI roles to smaller, more affordable markets, creating a redistribution of AI employment opportunities.”