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 scores $120M in new cancer research and prevention grants

cancer funding

The Cancer Prevention and Research Institute of Texas has granted more than $120 million to Houston organizations and companies as part of 73 new awards issued statewide.

The funds are part of nearly $154 million approved by the CPRIT's governing board earlier this month, bringing the organization's total investment in cancer prevention and research to more than $4 billion since its inception.

“Today marks an important milestone for CPRIT and for every Texan affected by cancer,” CEO Kristen Doyle said in a news release. “Texas has invested $4 billion in the fight against one of the world’s greatest public health challenges. Over 16 years, that support has helped Texas lead the search for breakthrough treatments, develop new cancer-fighting drugs and devices, and—most importantly—save tens of thousands of lives through early cancer detection and prevention. Every Texan should know this effort matters, and we’re not finished yet. Together, we will conquer cancer.”

A portion of the funding will go toward recruiting leading cancer researchers to Houston. CPRIT granted $5 million to bring John Quackenbush to Baylor College of Medicine. Quackenbush comes from the Harvard T.H. Chan School of Public Health and is an expert in computational and systems biology. His research focuses on complex genomic data to understand cancer and develop targeted therapies.

The University of Texas M.D. Anderson Cancer Center also received $3 million to recruit Irfan Asangani, an associate professor at the University of Pennsylvania Perelman School of Medicine. His research focuses on how chromatin structure and epigenetic regulation drive the development and progression of cancer, especially prostate cancer.

Other funds will go towards research on a rare, aggressive kidney cancer that impacts children and young adults; screening programs for breast and cervical cancer; and diagnostic technology.

In total, cancer grants were given to:

  • The University of Texas M.D. Anderson Cancer Center: $29.02 million
  • Baylor College of Medicine: $15.04 million
  • The University of Texas Health Science Center at Houston: $9.37 million
  • Texas A&M University System Health Science Center: $1.2 million
  • University of Houston: $900,000

Additional Houston-based companies landed grants, including:

  • Crossbridge Bio Inc.: $15.01 million
  • OncoMAGNETx Inc.: $13.97 million
  • Immunogenesis Inc.: $10.85 million
  • Diakonos Oncology Corporation: $7.16 million
  • Iterion Therapeutics Inc.: $7.13 million
  • NovaScan Inc.: $3.7 million
  • EMPIRI Inc.: $2.59 million
  • Air Surgical Inc.: $2.58 million
  • Light and Salt Association: $2.45 million

See the full list of awards here.

U.S. News names 5 Houston suburbs as the best places to retire in 2026

Retirement Report

Houston-area suburbs should be on the lookout for an influx of retirees in 2026. A new study by U.S. News and World Report has declared The Woodlands and Spring as the fourth and fifth best cities to retire in America, with three other local cities making the top 25.

The annual report, called "250 Best Places to Retire in the U.S. in 2026" initially compared 850 U.S. cities, and narrowed the list down to a final 250 cities (up from 150 previously). Each locale was analyzed across six indexes: quality of life for individuals reaching retirement age, value (housing affordability and cost of living), health care quality, tax-friendliness for retirees, senior population and migration rates, and the strength of each city's job market.

Midland, Michigan was crowned the No. 1 best place to retire in 2026. The remaining cities that round out the top five are Weirton, West Virginia (No. 2) and Homosassa Springs, Florida (No. 3).

According to U.S. News, about 15 percent of The Woodlands' population is over the age of 65. The median household income in this suburb is $139,696, far above the national average median household income of $79,466.

Though The Woodlands has a higher cost of living than many other places in the country, the report maintains that the city "offers a higher value of living compared to similarly sized cities."

"If you want to buy a house in The Woodlands, the median home value is $474,279," the city's profile on U.S. News says. "And if you're a renter, you can expect the median rent here to be $1,449." For comparison, the report says the national average home value is $370,489.

Spring ranked as the fifth best place to retire in 2026, boasting a population of more than 68,000 residents, 11 percent of whom are seniors. This suburb is located less than 10 miles south of The Woodlands, while still being far enough away from Houston (about 25 miles) for seniors to escape big city life for the comfort of a smaller community.

"Retirees are prioritizing quality of life over affordability for the first time since the beginning of the COVID-19 pandemic," said U.S. News contributing editor Tim Smart in a press release.

The median home value in Spring is lower than the national average, at $251,247, making it one of the more affordable places to buy a home in the Houston area. Renters can expect to pay a median $1,326 in monthly rent, the report added.

Elsewhere in Houston, Pearland ranked as the 17th best place to retire for 2026, followed by Conroe (No. 20) and League City (No. 25).

Other Texas cities that ranked among the top 50 best places to retire nationwide include Victoria (No. 12), San Angelo (No. 28), and Flower Mound (No. 37).

The top 10 best U.S. cities to retire in 2026 are:

  • No. 1 – Midland, Michigan
  • No. 2 – Weirton, West Virginia
  • No. 3 – Homosassa Springs, Florida
  • No. 4 – The Woodlands, Texas
  • No. 5 – Spring, Texas
  • No. 6 – Rancho Rio, New Mexico
  • No. 7 – Spring Hill, Florida
  • No. 8 – Altoona, Pennsylvania
  • No. 9 – Palm Coast, Florida
  • No. 10 – Lynchburg, Virginia
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This article originally appeared on CultureMap.com.