DOE doles out funding to 4 Houston tackling carbon dioxide removal tech

seeing less co2

The four companies are among 24 semifinalists in the agency’s Carbon Dioxide Removal Purchase Pilot Prize program that were chosen to receive a total of $1.2 million for their commercial-scale CO2 removal technology.

Four Houston companies have received $50,000 each from the U.S. Department of Energy to further develop their carbon dioxide removal technology.

The funding comes in the form of the Department of Energy’s purchase of CO2 removal credits.

“The Carbon Dioxide Removal Purchase Prize is a first-of-a-kind initiative to catalyze the market for high-quality CO2 removal credits, helping jumpstart a critical decarbonization tool,” U.S. Energy Secretary Jennifer Granholm says in a news release.

The Carbon Dioxide Removal Purchase Pilot Prize project will provide up to $35 million in cash awards. The 24 semifinalists will be whittled down to as many as 10 finalists that’ll receive up to $3 million each.

The four Houston companies that have been named semifinalists are:

Climate Robotics. The company’s mobile platform produces and applies biochar — organic waste material or biomass — to store CO2.
Mati Carbon. The companyremoves carbon dioxide and stores it in rocks to boost rice productivity in the U.S.
1PointFive. The company, a subsidiary of Occidental Petroleum, is building facility that will eventually capture up to 500,000 metric tons of CO2 per year.
Vaulted Deep. The companyundertakes geologic storage of slurried organic waste for permanent removal of CO2.

Granholm says the DOE prize program and the Biden administration “are giving the private sector the tools they need to make real contributions to our fight against the climate crisis and deliver real benefits to communities across the nation.”

Three of the companies selected — Vaulted Deep, Mati Carbon, and Climate Robotics — were also recently named finalists in Elon Musk's XPRIZE's four-year global competition is designed to combat climate change with innovative solutions.

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3 Houston clean energy startups advance in Elon Musk-backed cleantech competition

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Twenty promising climatetech companies were selected to advance to the final stage of a global competition backed by Elon Musk's foundation — and three of the finalists hail from Houston.

Vaulted Deep, Mati Carbon, and Climate Robotics secured finalists spots in XPRIZE's four-year global competition is designed to combat climate change with innovative solutions. XPRIZE Carbon Removal will offer $100 million to innovators who are creating solutions that removes carbon dioxide directly from the atmosphere or the oceans, and then sequester it sustainably.

"For the world to effectively address greenhouse gas emissions, carbon removal is an essential element of the path to Net Zero. There's no way to reverse humanity's impact on the climate without extracting carbon from our atmosphere and oceans," Anousheh Ansari, CEO of XPRIZE, says in a news release. "We need a range of bold, innovative CDR solutions to manage the vast quantities of CO2 released into our environment and impacting our planet.

"The teams that have been competing for this Prize are all part of building a set of robust and effective solutions and our 20 teams advancing to the final stage of XPRIZE Carbon Removal will have an opportunity to demonstrate their potential to have a significant impact on the climate," Ansari continues.

The finalists — categorized into four sections: air, rocks, oceans, and land — were selected based upon their performance in three key areas: operations, sustainability, and cost. The full list of 20 finalists is available online.

Around 20 Houston-area companies were initially identified by the challenge. Here's a look at the three that are advancing to the finals:

Mati, in the Rocks category, durably removes carbon from the atmosphere using basalt based enhanced rock weathering (ERW) in smallholder rice paddy farms. This process, which is being demonstrated in India, removes atmospheric CO2 while adding key nutrients in the soil helping to restore degraded soils to benefit smallholder farmers.
Climate Robotics, in the Land category, enables broad-scale agriculture adoption of biochar which builds soil health and removes excess carbon from the atmosphere. The company's mobile technology converts crop residues into durable biochar on the fly and in the field, making the economics work for farmers and our ecosystems.
Vaulted Deep, also in the Land category, delivers scalable, permanent, carbon removal by geologically sequestering carbon-filled organic wastes. Their patented slurry sequestration, which involves the geological injection of minimally processed wastes for permanent (10,000+ year) carbon removal.

"This cohort of exceptional teams represents a diversity of innovations and solutions across a range of CDR pathways, and shows the significant progress the industry is making in a short period of time," Nikki Batchelor, executive director of XPRIZE Carbon Removal, says in the release. "Over the past three years, this competition has helped accelerate the pace of technology development for a whole new industry of high-potential solutions aimed at reversing climate change."

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4 Houston inventors named to prestigious national organization

Top Honor

Houston is home to four new senior members of the National Academy of Inventors.

To be eligible to be an NAI Senior Member, candidates must be active faculty, scientists and administrators from NAI member institutions that have demonstrated innovation and produced technologies that have “brought, or aspire to bring, real impact on the welfare of society,” according to the NAI. The members have also succeeded in patents, licensing and commercialization, and educating and mentoring.

The University of Houston announced that three professors were selected to join the prestigious NAI list of senior members. UH now has 39 faculty members on the NAI list.

“We congratulate these three esteemed colleagues on being named NAI Senior Members,” Ramanan Krishnamoorti, vice president for energy and innovation at UH, said in a news release. “This recognition is a testament to their dedication, research excellence and pursuit of real-world impact by knowledge and technologies. Their achievements continue to elevate the University as a leader in innovation and entrepreneurship.”

UH’s new senior members include:

Birol Dindoruk, the American Association of Drilling Engineers Endowed Professor of Petroleum Engineering and Chemical and Biomolecular Engineering at the Cullen College of Engineering. He is known for his research in carbon capture and storage, fluid-rock interactions and hydrogen storage. He holds three patents.
Megan Robertson, the Neal R. Amundson professor of chemical and biomolecular engineering at UH’s Cullen College of Engineering. She is developing new polymers and groundbreaking strategies for recycling and reusing plastics. Robertson currently has three patents and two more patent applications pending.
Francisco Robles Hernandez, a professor of mechanical engineering technology at the UH College of Technology. He holds four patents, and several others are under review. His work focuses on carbon materials, including pioneering work with graphene and designs with steel and aluminum used in automotives and railroads.

“Being named a senior member is both an honor and a responsibility, and I appreciate UH for nurturing an environment where creativity and innovation are not just encouraged but expected,” Dindoruk said. “Ultimately, this milestone is not just about past achievements. It is about future opportunities to innovate, collaborate and make a meaningful impact on both industry and society.”

Allison Post, associate director of electrophysiology research and innovations and manager of innovation partnerships at the Texas Heart Institute at Baylor College of Medicine, also made the list. Post was recognized for her work in biomedical engineering and commitment to advancing cardiovascular care through innovations. Post is the youngest member to be inducted this year.

Other notable Texas honorees include Emma Fan from the University of Texas, Arum Han from Texas A&M and Panos Shiakolas at UT Arlington.

In 2024, Edward Ratner, a computer information systems lecturer in the Department of Information Science Technology at the University of Houston’s Cullen College of Engineering, and Omid Veiseh, a bioengineer at Rice University and director of the Biotech Launch Pad, were named NAI fellows.

The Senior Member Induction Ceremony will honor the 2025 class at NAI’s Annual Conference June 23-26 in Atlanta, Georgia.

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A version of this story first appeared on our sister site, InnovationMap.com.

Houston researcher dives into accessibility of public EV charging stations

EV equity

A Rice University professor wants to redraw the map for the placement of electric vehicle charging stations to level the playing field for access to EV power sources.

Xinwu Qian, assistant professor of civil and environmental engineering at Rice, is leading research to rethink where EV charging stations should be installed so that they’re convenient for all motorists going about their day-to-day activities.

“Charging an electric vehicle isn’t just about plugging it in and waiting — it takes 30 minutes to an hour even with the fastest charger — therefore, it’s an activity layered with social, economic, and practical implications,” Qian says on Rice’s website. “While we’ve made great strides in EV adoption, the invisible barriers to public charging access remain a significant challenge.”

According to Qian’s research, public charging stations are more commonly located near low-income households, as these residents are less likely to afford or enjoy access to at-home charging. However, these stations are often far from where they conduct everyday activities.

The Rice report explains that, in contrast, public charging stations are geographically farther from affluent suburban areas. However, they often fit more seamlessly into these residents' daily schedules. As a result, low-income communities face an opportunity gap, where public charging may exist in theory but is less practical in reality.

A 2024 study led by Qian analyzed data from over 28,000 public EV charging stations and 5.5 million points across 20 U.S. cities.

“The findings were stark: Income, rather than proximity, was the dominant factor in determining who benefits most from public EV infrastructure,” Qian says.

“Wealthier individuals were more likely to find a charging station at places they frequent, and they also had the flexibility to spend time at those places while charging their vehicles,” he adds. “Meanwhile, lower-income communities struggled to integrate public charging into their routines due to a compounded issue of shorter dwell times and less alignment with daily activities.”

To make matters worse, businesses often target high-income people when they install charging stations, Qian’s research revealed.

“It’s a sad reality,” Qian said. “If we don’t address these systemic issues now, we risk deepening the divide between those who can afford EVs and those who can’t.”

A grant from the National Science Foundation backs Qian’s further research into this subject. He says the public and private sectors must collaborate to address the inequity in access to public charging stations for EVs.

Energy expert: Unlocking the potential of the Texas grid with AI & DLR

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From bitter cold and flash flooding to wildfire threats, Texas is no stranger to extreme weather, bringing up concerns about the reliability of its grid. Since the winter freeze of 2021, the state’s leaders and lawmakers have more urgently wrestled with how to strengthen the resilience of the grid while also supporting immense load growth.

As Maeve Allsup at Latitude Media pointed out, many of today’s most pressing energy trends are converging in Texas. In fact, a recent ERCOT report estimates that power demand will nearly double by 2030. This spike is a result of lots of large industries, including AI data centers, looking for power. To meet this growing demand, Texas has abundant natural gas, solar and wind resources, making it a focal point for the future of energy.

Several new initiatives are underway to modernize the grid, but the problem is that they take a long time to complete. While building new power generation facilities and transmission lines is necessary, these processes can take 10-plus years to finish. None of these approaches enables both significantly expanded power and the transmission capacity needed to deliver it in the near future.

Beyond “curtailment-enabled headroom”

A study released by Duke University highlighted the “extensive untapped potential” in U.S. power plants for powering up to 100 gigawatts of large loads “while mitigating the need for costly system upgrades.” In a nutshell: There’s enough generating capacity to meet peak demand, so it’s possible to add new loads as long as they’re not adding to the peak. New data centers must connect flexibly with limited on-site generation or storage to cover those few peak hours. This is what the authors mean by “load flexibility” and “curtailment-enabled headroom.”

As I shared with POWER Magazine, while power plants do have significant untapped capacity, the transmission grid might not. The study doesn’t address transmission constraints that can limit power delivery where it’s needed. Congestion is a real problem already without the extra load and could easily wipe out a majority of that additional capacity.

To illustrate this point, think about where you would build a large data center. Next to a nuclear plant? A nuclear plant will already operate flat out and will not have any extra capacity. The “headroom” is available on average in the whole system, not at any single power plant. A peaking gas plant might indeed be idle most of the time, but not 99.5% of the time as highlighted by the Duke authors as the threshold. Your data center would need to take the extra capacity from a number of plants, which may be hundreds of miles apart. The transmission grid might not be able to cope with it.

However, there is also additional headroom or untapped potential in the transmission grid itself that has not been used so far. Grid operators have not been able to maximize their grids because the technology has not existed to do so.

The problem with existing grid management and static line ratings

Traditionally, power lines are given a static rating throughout the year, which is calculated by assuming the worst possible cooling conditions of a hot summer day with no wind. This method leads to conservative capacity estimates and does not account for environmental factors that can impact how much power can actually flow through a line.

Take the wind-cooling effect, for example. Wind cools down power lines and can significantly increase the capacity of the grid. Even a slight wind blowing around four miles per hour can increase transmission line capacity by 30 percent through cooling.

That’s why dynamic line ratings (DLR) are such a useful tool for grid operators. DLR enables the assessment of individual spans of transmission lines to determine how much capacity they can carry under current conditions. On average, DLR increases capacity by a third, helping utilities sell more power while bringing down energy prices for consumers.

However, DLR is not yet widely used. The core problem is that weather models are not accurate enough for grid operators. Wind is very dependent on the detailed landscape, such as forests or hills, surrounding the power line. A typical weather forecast will tell you the average conditions in the 10 square miles around you, not the wind speed in the forest where the power line is. Without accurate wind data at every section, even a small portion of the line risks overheating unless the line is managed conservatively.

DLR solutions have been forced to rely on sensors installed on transmission lines to collect real-time weather measurements, which are then used to estimate line ratings. However, installing and maintaining hundreds of thousands of sensors is extremely time-consuming, if not practically infeasible.

The Elering case study

Last year, my company, Gridraven, tested our machine learning-powered DLR system, which uses a AI-enabled weather model, on 3,100 miles of 110-kilovolt and 330-kilovolt lines operated by Elering, Estonia’s transmission system operator, predicting ratings in 15,000 individual locations. The power lines run through forests and hills, where conventional forecasting systems cannot predict conditions with precision.

From September to November 2024, our average wind forecast accuracy saw a 60 percent improvement over existing technology, resulting in a 40 percent capacity increase compared to the traditional seasonal rating. These results were further validated against actual measurements on transmission towers.

This pilot not only demonstrated the power of AI solutions against traditional DLR systems but also their reliability in challenging conditions and terrain.

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Georg Rute is the CEO of Gridraven, a software provider for Dynamic Line Ratings based on precision weather forecasting available globally. Prior to Gridraven, Rute founded Sympower, a virtual power plant, and was the head of smart grid development at Elering, Estonia's Transmission System Operator. Rute will be onsite at CERAWeek in Houston, March 10-14.

The views expressed herein are Rute's own. A version of this article originally appeared on LinkedIn.

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