By prioritizing the deployment of smart, energy-efficient technologies, we can ensure that Houston remains at the forefront of the global energy landscape, setting the standard for other cities to follow. Photo via Getty Images

As Houston, the energy capital of the world, navigates the global energy transition, the city is uniquely positioned to lead by example. This transition isn’t just about shifting from fossil fuels to renewable energy; it’s about creating an ecosystem where corporations, research institutions, startups, and investors collaborate to develop and implement innovative technologies.

One of the most promising areas for reducing energy consumption and minimizing environmental impact is in heating, ventilation, and air conditioning, or HVAC, systems.

Houston’s intense weather patterns demand efficient and adaptable climate control solutions. Traditional HVAC systems, while effective in maintaining indoor comfort, often operate on fixed settings that don’t account for real-time changes in occupancy or weather. This results in energy waste and increased utility costs — issues that can be mitigated by integrating artificial intelligence into HVAC systems.

AI-driven HVAC systems offer a dynamic approach to heating and cooling, learning from user preferences and environmental conditions to optimize performance. These systems use advanced algorithms to continuously adjust their operation, ensuring that energy is used only when and where it’s needed. This results in up to 30 percent greater energy efficiency compared to conventional systems, translating into significant savings for consumers and a reduction in overall energy demand.

For a city like Houston, where energy consumption is a critical concern, the widespread adoption of AI-integrated HVAC systems could have a substantial impact. By optimizing energy use in homes, offices, and industrial spaces, these systems help reduce the strain on the electrical grid, particularly during peak usage times. Additionally, they contribute to lowering greenhouse gas emissions, aligning with Houston’s broader sustainability goals.

The potential of AI in HVAC systems extends beyond efficiency and environmental benefits. These systems enhance the user experience by offering precise control over indoor climates, adapting to individual preferences, and responding to external conditions in real-time. This level of customization not only improves comfort but also supports a smarter, more sustainable approach to energy management.

Houston’s energy transition requires the collective efforts of all sectors. While large corporations and government entities play a significant role, the contributions of startups, research institutions, and energy service companies are equally important. These entities are at the forefront of developing technologies that address both the economic and environmental challenges of our time. Investors are increasingly recognizing the value of funding solutions that offer long-term sustainability alongside financial returns, further driving the adoption of innovative energy technologies.

The integration of AI into HVAC systems represents a crucial step forward in this journey. As Houston continues to evolve as a leader in energy innovation, embracing advanced technologies like AI-driven HVAC systems will be key to achieving a more sustainable and resilient energy future. These systems are not just a technological advancement—they are a strategic tool in the broader effort to reduce energy consumption, lower emissions, and create a healthier environment for all.

At the heart of Houston’s energy transition is the commitment to building a future that balances growth with sustainability. By prioritizing the deployment of smart, energy-efficient technologies, we can ensure that Houston remains at the forefront of the global energy landscape, setting the standard for other cities to follow. As we move forward, the integration of AI into our energy infrastructure, particularly in HVAC systems, will be instrumental in shaping a sustainable and prosperous future for Houston and beyond.

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Trevor Schick is the president of KOVA, a Texas company creating sustainable solutions in building development.

This article originally ran on EnergyCapital.
The four-year agreement will support the team’s ongoing work on removing PFAS from soil. Photo via Rice University

Houston chemist earns $12M grant to support innovative soil pollutant removal process

making moves

A Rice University chemist James Tour has secured a new $12 million cooperative agreement with the U.S. Army Engineer Research and Development Center on the team’s work to efficiently remove pollutants from soil.

The four-year agreement will support the team’s ongoing work on removing per- and polyfluoroalkyl substances (PFAS) from contaminated soil through its rapid electrothermal mineralization (REM) process, according to a statement from Rice.

Traditionally PFAS have been difficult to remove by conventional methods. However, Tour and the team of researchers have been developing this REM process, which heats contaminated soil to 1,000 C in seconds and converts it into nontoxic calcium fluoride efficiently while also preserving essential soil properties.

“This is a substantial improvement over previous methods, which often suffer from high energy and water consumption, limited efficiency and often require the soil to be removed,” Tour said in the statement.

The funding will help Tour and the team scale the innovative REM process to treat large volumes of soil. The team also plans to use the process to perform urban mining of electronic and industrial waste and further develop a “flash-within-flash” heating technology to synthesize materials in bulk, according to Rice.

“This research advances scientific understanding but also provides practical solutions to critical environmental challenges, promising a cleaner, safer world,” Christopher Griggs, a senior research physical scientist at the ERDC, said in the statement.

Also this month, Tour and his research team published a report in Nature Communications detailing another innovative heating technique that can remove purified active materials from lithium-ion battery waste, which can lead to a cleaner production of electric vehicles, according to Rice.

“With the surge in battery use, particularly in EVs, the need for developing sustainable recycling methods is pressing,” Tour said in a statement.

Similar to the REM process, this technique known as flash Joule heating (FJH) heats waste to 2,500 Kelvin within seconds, which allows for efficient purification through magnetic separation.

This research was also supported by the U.S. Army Corps of Engineers, as well as the Air Force Office of Scientific Research and Rice Academy Fellowship.

Last year, a fellow Rice research team earned a grant related to soil in the energy transition. Mark Torres, an assistant professor of Earth, environmental and planetary sciences; and Evan Ramos, a postdoctoral fellow in the Torres lab; were given a three-year grant from the Department of Energy to investigate the processes that allow soil to store roughly three times as much carbon as organic matter compared to Earth's atmosphere.

By analyzing samples from the East River Watershed, the team aims to understand if "Earth’s natural mechanisms of sequestering carbon to combat climate change," Torres said in a statement.

The UH team is developing ways to use machine learning to ensure that power systems can continue to run efficiently when pulling their energy from wind and solar sources. Photo via Getty Images

Houston researcher scores prestigious NSF award for machine learning, power grid tech

grant funding

An associate professor at the University of Houston received the highly competitive National Science Foundation CAREER Award earlier this month for a proposal focused on integrating renewable resources to improve power grids.

The award grants more than $500,000 to Xingpeng Li, assistant professor of electrical and computer engineering and leader of the Renewable Power Grid Lab at UH, to continue his work on developing ways to use machine learning to ensure that power systems can continue to run efficiently when pulling their energy from wind and solar sources, according to a statement from UH. This work has applications in the events of large disturbances to the grid.

Li explains that currently, power grids run off of converted, stored kinetic energy during grid disturbances.

"For example, when the grid experiences sudden large generation losses or increased electrical loads, the stored kinetic energy immediately converted to electrical energy and addressed the temporary shortfall in generation,” Li said in a statement. “However, as the proportion of wind and solar power increases in the grid, we want to maximize their use since their marginal costs are zero and they provide clean energy. Since we reduce the use of those traditional generators, we also reduce the power system inertia (or stored kinetic energy) substantially.”

Li plans to use machine learning to create more streamlined models that can be implemented into day-ahead scheduling applications that grid operators currently use.

“With the proposed new modeling and computational approaches, we can better manage grids and ensure it can supply continuous quality power to all the consumers," he said.

In addition to supporting Li's research and model creations, the funds will also go toward Li and his team's creation of a free, open-source tool for students from kindergarten up through their graduate studies. They are also developing an “Applied Machine Learning in Power Systems” course. Li says the course will help meet workforce needs.

The CAREER Award recognizes early-career faculty members who “have the potential to serve as academic role models in research and education and to lead advances in the mission of their department or organization,” according to the NSF. It's given to about 500 researchers each year.

Earlier this year, Rice assistant professor Amanda Marciel was also

granted an NSF CAREER Award to continue her research in designing branch elastomers that return to their original shape after being stretched. The research has applications in stretchable electronics and biomimetic tissues.

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This article originally ran on EnergyCapital.

The research outfit says North America leads global AI growth in oil and gas, with Houston playing a pivotal role. Photo via Getty Images

Report: Houston rises as emerging hub for $6B global AI in oil and gas industry

eyes on ai

Houston is emerging as a hub for the development of artificial intelligence in the oil and gas industry — a global market projected to be worth nearly $6 billion by 2028.

This fresh insight comes from a report recently published by ResearchAndMarkets.com. The research outfit says North America leads global AI growth in oil and gas, with Houston playing a pivotal role.

“With AI-driven innovation at its core, the oil and gas industry is set to undergo a profound transformation, impacting everything from reservoir optimization to asset management and energy consumption strategies — setting a new standard for the future of the sector,” says ResearchAndMarkets.com.

The research company predicts the value of the AI sector in oil and gas will rise from an estimated $3.2 billion in 2023 and $3.62 billion in 2024 to $5.8 billion by 2028. The report divides AI into three categories: software, hardware, and hybrids.

As cited in the report, trends that are sparking the explosion of AI in oil and gas include:

  • Stepped-up use of data
  • Higher demand for energy efficiency and sustainability
  • Automation of repetitive tasks
  • Optimization of exploration and drilling
  • Enhancement of safety

“The oil and gas industry’s ongoing digitization is a significant driver behind … AI in the oil and gas market. Rapid adoption of AI technology among oilfield operators and service providers serves as a catalyst, fostering market growth,” says ResearchAndMarkets.com.

The report mentions the Open AI Energy Initiative as one of the drivers of increased adoption of AI in oil and gas. Baker Hughes, C3 AI, Microsoft, and Shell introduced the initiative in February 2021. The initiative enables energy operators, service providers, and vendors to create sharable AI technology for the oil and gas industry.

Baker Hughes and C3 AI jointly market AI offerings for the oil and gas industry.

Aside from Baker Hughes, Microsoft, and Shell, other companies with a significant Houston presence that are cited in the AI report include:

  • Accenture
  • BP
  • Emerson Electric
  • Google
  • Halliburton
  • Honeywell
  • Saudi Aramco
  • Schlumberger
  • TechnipFMC
  • Weatherford International
  • Wood

Major AI-related trends that the report envisions in the oil and gas sector include the:

  • Digital twins for asset modeling
  • Autonomous robotics
  • Advanced analytics for reservoir management
  • Cognitive computing for decision-making
  • Remote monitoring and control systems

“The digitization trend within the oil and gas sector significantly propels the AI in oil and gas market,” says the report.

The project will focus on testing 5G networks for software-centric architectures. Photo via Getty Images

Rice lands federal funding for new 5G testing framework

money moves

A team of Rice University engineers has secured a $1.9 million grant from the U.S. Department of Commerce’s National Telecommunications and Information Administration to develop a new way to test 5G networks.

The project will focus on testing 5G networks for software-centric architectures, according to a statement from Rice. The funds come from the NTIA's most recent round of grants, totaling about $80 million, as part of the $1.5 billion Public Wireless Supply Chain Innovation Fund. Other awards went to Virginia Tech, Northeastern University, DISH Wireless, and more.

The project at Rice will be led by Rahman Doost-Mohammady, an assistant research professor of electrical and computer engineering; and Ashutosh Sabharwal, the Ernest Dell Butcher Professor of Engineering and chair of the Department of Electrical and Computer Engineering. Santiago Segarra, assistant professor of electrical and computer engineering and an expert in machine learning for wireless network design, is also a co-principal investigator on this project.

"Current testing methodologies for wireless products have predominantly focused on the communication dimension, evaluating aspects such as load testing and channel emulation,” said Doost-Mohammady said in a statement. “But with the escalating trend toward software-based wireless products, it’s imperative that we take a more holistic approach to testing."

The new framework will be used to "assess the stability, interoperability, energy efficiency and communication performance of software-based machine learning-enabled 5G radio access networks (RANs)," according to Rice, known as ETHOS.

Once created, the team of researchers will use the framework for extensive testing using novel machine learning algorithms for 5G RAN with California-based NVIDIA's Aerial Research Cloud (ARC) platform. The team also plans to partner with other industry contacts in the future, according to Rice.

“The broader impacts of this project are far-reaching, with the potential to revolutionize software-based and machine learning-enabled wireless product testing by making it more comprehensive and responsive to the complexities of real-world network environments,” Sabharwal said in the statement. “By providing the industry with advanced tools to evaluate and ensure the stability, energy efficiency and throughput of their products, our research is poised to contribute to the successful deployment of 5G and beyond wireless networks.”

Late last year, the Houston location of Greentown Labs also landed funds from the Department of Commerce. The climatetech startup incubator was named to of the Economic Development Administration's 10th cohort of its Build to Scale program and will receive $400,000 with a $400,000 local match confirmed.

Houston-based nonprofit accelerator, BioWell, also received funding from the Build to Scale program.
After winning CodeLaunch last year, Matt Bonasera, enterprise architect at E360, looks forward to the future of the energy tech company. Photo by Natalie Harms/InnovationMap

Growing Houston energy tech company aims to improve building energy efficiency, air quality

A BREATH OF FRESH AIR

Houston-based energy efficiency company Energy 360 is working to balance what is often viewed as a tradeoff between high quality clean air and energy efficiency within corporate buildings.

E360 is a subsidiary of InTech Energy, a software company that provides a variety of energy efficiency solutions for commercial spaces. The enterprise architect of E360, Matt Bonasera, says the platform functions as an energy management system as it monitors air quality, greenhouse gas emissions, and can adjust electricity usage among a host of other outputs.

“We are trying to holistically look at each building instead of just looking at it purely from the energy efficiency perspective or purely from looking at it from a health perspective,” Bonasera says.

Bonasera says E360 is the “last mile” in the energy transition, ensuring companies stick to their cost and energy-saving tactics after implementing them via consistent monitoring. E360 also helps users acquire energy efficiency grants from the U.S. government, using the platform to keep corporations accountable to their energy-saving goals.

“The market is really desperate for energy efficiency and there’s a lot of low hanging fruit out there. Only 10 percent of buildings have any energy efficiency mechanisms whatsoever,” Bonasera shares.

Bonasera says E360 predominantly works with corporations that own their own commercial space, particularly charter schools, churches, and Native American reservations. Though the platform is designed to save building-owners money and can assist commercial subletters, Bonasera says E360’s users tend to have a personal interest in their own air quality and emissions, prompting them to use the system.

Bonasera says E360 has the potential to dramatically improve the learning environment in schools since contracting with Stafford ISD and several charter schools. After implementing E360’s air quality monitoring and purifying system, Bonasera said schools experienced a significant drop in absenteeism.

“If you just improve the air quality in the building, students will do better, they will have better grades and we will have better outcomes,” Bonasera says.

After initially rolling their product out in California, Bonasera says E360 is gaining serious traction in the South, particularly in Texas. Following the devastating Winter Storm Uri, Bonasera says there has been increased interest in systems like E360 as Texans are hyper-aware of the delicate state of the energy grid.

“In Texas people are looking for ways to be more energy efficient and self-sufficient and this is a way that we help them,” Bonasera shares.

E360 won the top prize at CodeLaunch, a traveling seed-stage accelerator, in March 2023 and Bonasera says he is excited about what the future holds as they continuously release new updates to the platform.

“I think we’re at an inflection point in the company and I think this is going to be a really pivotal year for us in growth,” Bonasera says.

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This article originally ran on EnergyCapital.

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Houston leaders form coalition to boost Texas power grid with new tech

a better grid

A Houston-based coalition that launched this month aims to educate Texas officials about technology designed to shore up the state’s power grid.

The public-private Texas Reliability Coalition says it will promote utility-scale microgrid technology geared toward strengthening the resilience and reliability of the Texas power grid, particularly during extreme weather.

A utility-operated microgrid is a group of interconnected power loads and distributed energy sources that can operate in tandem with or apart from regular power grids, such as the grid run by the Electric Reliability Council of Texas (ERCOT). Legislation passed in 2023 enables the use of utility-scale microgrid technology in Texas’ deregulated energy market, according to the coalition.

John Elder, executive director of the coalition, says that with the legal framework now in place, the Public Utility Commission of Texas and ERCOT need to create rules to establish the Texas marketplace for microgrid technology. The goal, he says, is to “take the Texas grid from good to great” by installing microgrid technology, improving the infrastructure, and strengthening the system — all targeted toward meeting power needs during extreme weather and amid growing demand.

Houston-based CenterPoint Energy will test the utility-scale microgrid technology being promoted by the coalition. In a January 31 filing with the Public Utility Commission, CenterPoint says microgrid technology will be featured in a $36.5 million pilot program that’ll set up an estimated three to five microgrids in the company’s service area. The pilot program is slated to last from 2026 to 2028.

In the public affairs arena, five Houston executives are leading the new reliability commission’s microgrid initiative.

Elder, one of the coalition’s founding members, is president and CEO of Houston-based Acclaim Energy. Other founders include Ember Real Estate Investment & Development, Park Eight Development, and PowerSecure. Ember and Park Eight are based in Houston. Durham, North Carolina-based PowerSecure, which produces microgrid technology, is a subsidiary of energy provider Southern Co.

Aside from Elder, members of the coalition’s board are:

  • Stewart Black, board secretary of the coalition and vice president of Acclaim Energy’s midstream division
  • Todd Burrer, president of municipal utility districts at Inframark
  • Harry Masterson, managing principal of Ember
  • Martin Narendorf, former vice president at CenterPoint Energy

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This article originally appeared on our sister site, EnergyCapital.

This Houston neighbor is the fastest growing wealthy suburb in America

By The Numbers

The Houston-area city of Fulshear is booming like nowhere else: It's now the No. 1 fast-growing affluent suburb in the country.

Fulshear's No. 1 status was unveiled in a new GoBankingRates' study that ranked the "30 Fastest Growing Wealthy Suburbs in America" for 2025. The report examined population changes from 2018 to 2023 among cities and towns in major U.S. metro areas with populations between 25,000 and 100,000 residents. Median household income, average home value, and a "livability score" were also calculated for each locale.

Fulshear, located 34 miles west of downtown Houston, experienced the most dramatic population increase out of all 30 cities in the report. Though the suburb only has an estimated population of 42,616 residents, that number has skyrocketed 237 percent during the five-year period.

A Fulshear resident's median income is $178,398 annually, and the average value of a home in the city comes out to $521,157, the report additionally found.

Fulshear was the second fastest growing city in America in 2023. The city's growth is further reflected by the number of new apartments that were built in the area in 2024.

Texas is tops
Texas cities took the top three fastest growing U.S. suburbs for 2025, with Dallas-area cities of Celina (No. 2) and Prosper (No. 3) experiencing wildly different (yet still sky high) population changes. Celina's population ballooned 190 percent to 43,317 residents, while Prosper's grew 81 percent to an estimated 41,660 people.

Other Texas cities that earned spots in the report include Flower Mound (No. 19), Southlake (No. 27), University Park (No. 28) and Colleyville (No. 29), all in the Dallas-Fort Worth area.

"The old adage that everything is bigger in Texas is true, considering the number of Lone Star State suburbs that are quickly growing in population and overall wealth," the report's author wrote.

The top 10 fastest growing wealthy suburbs in America are:

  • No. 1 – Fulshear, Texas
  • No. 2 – Celina, Texas
  • No. 3 – Prosper, Texas
  • No. 4 – Erie, Colorado
  • No. 5 – Clarksburg, Maryland
  • No. 6 – Zionsville, Indiana
  • No. 7 – Redmond, Washington
  • No. 8 – Dublin, California
  • No. 9 – Parkland, Florida
  • No. 10 – Eastvale, California
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This story originally appeared on our sister site CultureMap.com.

Rice research breakthrough paves the way for advanced disease therapies

study up

Bioengineers at Rice University have developed a “new construction kit” for building custom sense-and-respond circuits in human cells, representing a major breakthrough in the field of synthetic biology, which could "revolutionize" autoimmune disease and cancer therapeutics.

In a study published in the journal Science, the team focused on phosphorylation, a cellular process in the body in which a phosphate group is added to a protein, signaling a response. In multicellular organisms, phosphorylation-based signaling can involve a multistage, or a cascading-like effect. Rice’s team set out to show that each cycle in a cascade can be treated as an elementary unit, meaning that they can be reassembled in new configurations to form entirely novel pathways linking cellular inputs and outputs.

Previous research on using phosphorylation-based signaling for therapeutic purposes has focused on re-engineering pathways.

“This opens up the signaling circuit design space dramatically,” Caleb Bashor, assistant professor of bioengineering and biosciences and corresponding author on the study, said in a news release. “It turns out, phosphorylation cycles are not just interconnected but interconnectable … Our design strategy enabled us to engineer synthetic phosphorylation circuits that are not only highly tunable but that can also function in parallel with cells’ own processes without impacting their viability or growth rate.”

Bashor is the deputy director for the Rice Synthetic Biology Institute, which launched last year.

The Rice lab's sense-and-respond cellular circuit design is also innovative because phosphorylation occurs rapidly. Thus, the new circuits could potentially be programmed to respond to physiological events in minutes, compared to other methods, which take hours to activate.

Rice’s team successfully tested the circuits for sensitivity and their ability to respond to external signals, such as inflammatory issues. The researchers then used the framework to engineer a cellular circuit that can detect certain factors, control autoimmune flare-ups and reduce immunotherapy-associated toxicity.

“This work brings us a whole lot closer to being able to build ‘smart cells’ that can detect signs of disease and immediately release customizable treatments in response,” Xiaoyu Yang, a graduate student in the Systems, Synthetic and Physical Biology Ph.D. program at Rice who is the lead author on the study, said in a news release.

Ajo-Franklin, a professor of biosciences, bioengineering, chemical and biomolecular engineering and a Cancer Prevention and Research Institute of Texas Scholar, added “the Bashor lab’s work vaults us forward to a new frontier — controlling mammalian cells’ immediate response to change.”