HVAC innovation has a huge role to play in Houston amid energy transition

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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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TMC, Memorial Hermann launch partnership to spur new patient care technologies

medtech partnership

Texas Medical Center and Memorial Hermann Health System have launched a new collaboration for developing patient care technology.

Through the partnership, Memorial Hermann employees and physicians will now be able to participate in the TMC Center for Device Innovation (CDI), which will assist them in translating product innovation ideas into working prototypes. The first group of entrepreneurs will pitch their innovations in early 2026, according to a release from TMC.

“Memorial Hermann is excited to launch this new partnership with the TMC CDI,” Ini Ekiko Thomas, vice president of information technology at Memorial Hermann, said in the news release. “As we continue to grow (a) culture of innovation, we look forward to supporting our employees, affiliated physicians and providers in new ways.”

Mentors from Memorial Hermann, TMC Innovation and industry experts with specialties in medicine, regulatory strategy, reimbursement planning and investor readiness will assist with the program. The innovators will also gain access to support systems like product innovation and translation strategy, get dedicated engineering and machinist resources and personal workbench space at the CDI.

“The prototyping facilities and opportunities at TMC are world-class and globally recognized, attracting innovators from around the world to advance their technologies,” Tom Luby, chief innovation officer at TMC Innovation Factor, said in the release.

Memorial Hermann says the partnership will support its innovation hub’s “pilot and scale approach” and hopes that it will extend the hub’s impact in “supporting researchers, clinicians and staff in developing patentable, commercially viable products.”

“We are excited to expand our partnership with Memorial Hermann and open the doors of our Center for Device Innovation to their employees and physicians—already among the best in medical care,” Luby added in the release. “We look forward to seeing what they accomplish next, utilizing our labs and gaining insights from top leaders across our campus.”

Google to invest $40 billion in AI data centers in Texas

Google is investing a huge chunk of money in Texas: According to a release, the company will invest $40 billion on cloud and artificial intelligence (AI) infrastructure, with the development of new data centers in Armstrong and Haskell counties.

The company announced its intentions at a meeting on November 14 attended by federal, state, and local leaders including Gov. Greg Abbott who called it "a Texas-sized investment."

Google will open two new data center campuses in Haskell County and a data center campus in Armstrong County.

Additionally, the first building at the company’s Red Oak campus in Ellis County is now operational. Google is continuing to invest in its existing Midlothian campus and Dallas cloud region, which are part of the company’s global network of 42 cloud regions that deliver high-performance, low-latency services that businesses and organizations use to build and scale their own AI-powered solutions.

Energy demands

Google is committed to responsibly growing its infrastructure by bringing new energy resources onto the grid, paying for costs associated with its operations, and supporting community energy efficiency initiatives.

One of the new Haskell data centers will be co-located with — or built directly alongside — a new solar and battery energy storage plant, creating the first industrial park to be developed through Google’s partnership with Intersect and TPG Rise Climate announced last year.

Google has contracted to add more than 6,200 megawatts (MW) of net new energy generation and capacity to the Texas electricity grid through power purchase agreements (PPAs) with energy developers such as AES Corporation, Enel North America, Intersect, Clearway, ENGIE, SB Energy, Ørsted, and X-Elio.

Water demands

Google’s three new facilities in Armstrong and Haskell counties will use air-cooling technology, limiting water use to site operations like kitchens. The company is also contributing $2.6 million to help Texas Water Trade create and enhance up to 1,000 acres of wetlands along the Trinity-San Jacinto Estuary. Google is also sponsoring a regenerative agriculture program with Indigo Ag in the Dallas-Fort Worth area and an irrigation efficiency project with N-Drip in the Texas High Plains.

In addition to the data centers, Google is committing $7 million in grants to support AI-related initiatives in healthcare, energy, and education across the state. This includes helping CareMessage enhance rural healthcare access; enabling the University of Texas at Austin and Texas Tech University to address energy challenges that will arise with AI, and expanding AI training for Texas educators and students through support to Houston City College.

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This article originally appeared on CultureMap.com.

TMCi names 11 global startups to latest HealthTech Accelerator cohort

new class

Texas Medical Center Innovation has named 11 medtech startups from around the world to its latest HealthTech Accelerator cohort.

Members of the accelerator's 19th cohort will participate in the six-month program, which kicked off this month. They range from startups developing on-the-go pelvic floor monitoring to 3D-printed craniofacial and orthopedic implants. Each previously participated in TMCi's bootcamp before being selected to join the accelerator. Through the HealthTech Accelerator, founders will work closely with TMC specialists, researchers, top-tier hospital experts and seasoned advisors to help grow their companies and hone their clinical trials, intellectual property, fundraising and more.

“This cohort of startups is tackling some of today’s most pressing clinical challenges, from surgery and respiratory care to diagnostics and women’s health," Tom Luby, chief innovation officer at Texas Medical Center, said in a news release. "At TMC, we bring together the minds behind innovation—entrepreneurs, technology leaders, and strategic partners—to help emerging companies validate, scale, and deliver solutions that make a real difference for patients here and around the world. We look forward to seeing their progress and global impact through the HealthTech Accelerator and the support of our broader ecosystem.”

The 2025 HealthTech Accelerator cohort includes:

  • Houston-based Respiree, which has created an all-in-one cardiopulmonary platform with wearable sensors for respiratory monitoring that uses AI to track breathing patterns and detect early signs of distress
  • College Station-based SageSpectra, which designs an innovative patch system for real-time, remote monitoring of temperature and StO2 for assessing vascular occlusion, infection, and other surgical flap complications
  • Austin-based Dynamic Light, which has developed a non-invasive imaging technology that enables surgeons to visualize blood flow in real-time without the need for traditional dyes
  • Bangkok, Thailand-based OsseoLabs, which develops AI-assisted, 3D-printed patient-specific implants for craniofacial and orthopedic surgeries
  • Sydney, Australia-based Roam Technologies, which has developed a portable oxygen therapy system (JUNO) that provides real-time oxygen delivery optimization for patients with chronic conditions
  • OptiLung, which develops 3D-printed extracorporeal blood oxygenation devices designed to optimize blood flow and reduce complications
  • Bengaluru, India-based Dozee, which has created a smart remote patient monitor platform that uses under-the-mattress bed sensors to capture vital signs through continuous monitoring
  • Montclair, New Jersey-based Endomedix, which has developed a biosurgical fast-acting absorbable hemostat designed to eliminate the risk of paralysis and reoperation due to device swelling
  • Williston, Vermont-based Xander Medical, which has designed a biomechanical innovation that addresses the complications and cost burdens associated with the current methods of removing stripped and broken surgical screws
  • Salt Lake City, Utah-based Freyya, which has developed an on-the-go pelvic floor monitoring and feedback device for people with pelvic floor dysfunction
  • The Netherlands-based Scinvivo, which has developed optical imaging catheters for bladder cancer diagnostics
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