Jane Stricker, executive director of HETI, on two years of the organization and the dual challenge the industry faces. Photo via GHP

As the Houston region continues to have important conversations about energy and climate in the energy capital of the world, it’s helpful to frame the discussion in terms of the dual challenge.

On one hand, our world needs energy companies across all sectors to continue to develop and deliver energy for all parts of the world – energy that is affordable and reliable and can enable the level of population and GDP growth anticipated over the next 30 years. At the same time, we need to find a way to significantly reduce the greenhouse gas emissions associated with the production and distribution of that energy to reduce the risks and impacts associated with climate change on our world.

As the global energy landscape continues to evolve – across the entire value chain, just in the two years since HETI was launched, there is an even greater urgency to leverage all available solutions to address the dual challenge.

We must be able to recognize that there is no silver bullet, no single technology and no single source of energy today that can get the world to net zero by 2050. However, that doesn’t mean we should give up. As the energy transition capital of the world, Houston continues to demonstrate that can lead in developing and deploying “all of the above” energy solutions needed to reach our ambitious goals.

With over 200 new cleantech and climatetech startups alongside some of the largest energy leaders who know how to scale technology, Houston is uniquely positioned to lead the way in technology development and commercial deployment to meet the dual challenge. Whether it’s implementing a carbon capture and storage project along Houston’s ship channel, piloting small modular nuclear reactor technology to enable zero carbon energy for chemical production in Seadrift, or converting an abandoned landfill in the middle of Houston’s Sunnyside community into the largest urban solar farm in the U.S. to create both zero carbon power and economic opportunity for the community, Houston is charging forward on all fronts to meet the dual challenge.

We cannot afford to sacrifice progress in search of a perfect solution, and Houston embraces this perspective in the way our region is coming together across the entire energy ecosystem to build on our leadership and lead the world to an energy-abundant, low-carbon future.

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This article originally ran on the Greater Houston Partnership's Houston Energy Transition Initiative blog. HETI exists to support Houston's future as an energy leader. For more information about the Houston Energy Transition Initiative, EnergyCapitalHTX's presenting sponsor, visit htxenergytransition.org.

Just what does 'energy transition' mean, anyway? Photo via Shutterstock

Defining ‘energy transition’ — and the semantics involved in it

Guest column

The term “energy transition” is fraught with misconceptions, but not just because of the varied interpretation of the term “transition.” The Energy101 series on EnergyCapitalHTX.com brings clarity to both terms with simple and direct information that anyone can understand. As explored in a previous conversation with ChatGPT, we are all part of the Energy Industry, so its high time we all understood it.

DEFINING TERMINOLOGY

Merriam-Webster defines transition as “a change or shift from one state, subject, place, etc. to another.” The popular interpretation of ‘energy transition’ implies a complete shift away from energy produced from fossil fuels to energy produced from renewable sources. This isn’t entirely accurate–let’s explore why.

“The challenge of our lifetime is addressing [the] dual challenge of meeting increased global energy demand while confronting global climate change” says Jane Stricker, executive director of the Houston Energy Transition Initiative and senior vice president, Greater Houston Partnership. This globally inclusive definition of ‘energy transition’ focuses on addressing objectives instead of proffering solutions–a common project management viewpoint through which opportunities are explored.

It's a simple, but effective, way to expand one’s line of thinking from acute problem solving to broader root-cause analysis. In other words, it is how we elevate from playing checkers to mastering chess.

DEFINING THE OPPORTUNITY

The United Nations tells us the world’s population reached 8 billion in late 2022, an increase of more than one billion people in just over a decade. During the same time frame, the number of people around the world without consistent access to electricity declined from approximately 1.2 billion to 775 million per the International Energy Agency (IEA) 2022 World Energy Outlook report. A commendable feat, no doubt, but the fact remains that about 10% of the world’s population still lives in energy poverty–and that number is increasing.

The first half of Stricker’s sentiment, the challenge of “meeting increased global energy demand” reflects these statistics, albeit almost poetically. To state the issue more plainly, one could ask, “how do we get more energy to more people?” Taking it one step further, we can split that inquiry into two basic questions: (1) how to get more energy, and (2) how to reach more people. This is where it gets interesting.

As explored in the inaugural Energy 101 article, energy is converted into usable form through one of three reactions. Mechanical and nuclear reactions that create electricity for immediate consumption are often deemed “cleaner” than those produced by chemical reaction, but the challenges of delivering more energy consistently and reaching more people are left shortchanged due to intermittent production and limited distribution mechanisms.

In recent history, this has left us to rely upon energy produced by chemical reactions from fossil fuels and/or batteries. Batteries have inherently been the more expensive option, mostly because of the limited supply of minerals necessary to effectively store and transport energy for later use in these contained systems. Hence, the heavy reliance on cheap fossil fuels.

REFINED CONSTRAINTS DEMAND NEW SOLUTIONS

With price as the determining factor influencing the modern world’s energy supply, oil and natural gas have scrambled to compete with coal, which is affordable and easily transportable. However, coal has one major drawback–using it accounts for approximately 20% of carbon emissions, more than oil and gas industrial use, combined, per calculations from the U.S. Energy Information Agency.

We have a duty to get more energy to more people, “while confronting global climate change,” as Stricker states. In the context of energy poverty, where more consistent access to more electricity needs to reach more people, energy needs not only be abundant, reliable, affordable, and accessible, but also, less toxic.

So far, we have yet to find a solution that meets all these conditions, so we have made trade-offs. The ‘energy transition’ merely reflects the energy industry’s latest acceptance of the next hurdle to enhance our lives on earth. As depicted by the image from the IEA below, it most certainly reflects a reduction in the reliance on coal for electricity production, but how that energy reduction will be off set remains yet to be determined.

It's an opportunity ripe for exploration while existing sources push to meet the expanding definition of sustainable energy–a shift in evaluation criteria, some might say. Perhaps even a transition.

Stacked chart showing demand of natural gas, coal, and oil from 1900 to 2050 (estimated)Demand for natural gas and oil are expected to level out, as demand for coal shrinks to meet goals for lower carbon emissions. Photo courtesy of IEA, license CC by 4.0Demand for natural gas and oil are expected to level out, as demand for coal shrinks to meet goals for lower carbon emissions. Photo courtesy of IEA, license CC by 4.0


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Lindsey Ferrell is a contributing writer to EnergyCapitalHTX and founder of Guerrella & Co.

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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

guest column

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.