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Here's how Texas ranks among the greenest states

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It might only be Texas' grass that is green. Photo via Getty Images

Turns out — Texas might not be as green as you thought.

A new report from WalletHub looked at 25 key metrics — from green buildings per capita to energy consumption from renewable resources — to evaluate the current health of states' environment and residents’ environmental-friendliness. Texas ranked No. 38, meaning it was the thirteenth least green state, only scoring 50.40 points out of 100.

“It’s important for every American to do their part to support greener living and protect our environment. However, it’s much easier being green in some states than others," writes Cassandra Happe, a WalletHub Analyst, in the report. "For example, if a state doesn’t have a great infrastructure for alternative-fuel vehicles, it becomes much harder for residents to adopt that technology. Living in a green state is also very beneficial for the health of you and your family, as you benefit from better air, soil and water quality.”

Here's how Texas ranked among a few of the key metrics:

  • No. 35 for air quality
  • No. 38 for soil quality
  • No. 38 for water quality
  • No. 26 for LEED-certified buildings per capita
  • No. 32 for percent of renewable energy consumption
  • No. 45 for energy consumption per capita
  • No. 38 for gasoline consumption (in gallons) per capita
Despite Texas' solar energy generation surpassed the output by coal last month, according to a report from the Institute For Energy Economics and Financial Analysis, the Lone Star State has room for improvement.
California was ranked as the greenest state, with Vermont, New York, Maryland, and Washington, respectively, rounding out the top five. The country's least green state is West Virginia, followed by Louisiana, Alabama, Mississippi, and Kentucky.

The report also zeroed in on how politics play into a state's climate system. Democrat-led states ranked around No. 15 on average, whereas Republican states fell at around No. 36.


Source: WalletHub
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In Texas last month, coal use dropped and solar energy soared, according to a new report. Photo via Pexels

Report: Solar tops coal in Texas for energy generation for the first time

by the numbers

For the first time in Texas, according to a recent report, solar energy generation surpassed the output by coal.

The report — from the Institute For Energy Economics and Financial Analysis — sourced the Energy Information Administration’s hourly grid monitor for March 2024. This shift in a predominantly oil and gas dominated history of Texas energy output, was due to solar power’s 3.26 million megawatt-hours to Electric Reliability Council of Texas (ERCOT) grid, compared to coal’s 2.96 million MWh.

In addition, coal’s market share fell below 10 percent to 9 percent for the first time ever, to just over 9 percent. The increase in solar energy pushed solar’s share of ERCOT generation to more than 10 percent for the month, which was also a first.

Due to its sheer size, Texas is the No.1 state for solar capacity. According to the report from SmartAsset, the Lone Star State has the most clean energy capacity at 56,405 megawatts, but continues to trail states with similar geographic characteristics in overall clean energy prevalence.

Texas only 38 percent of the state’s electricity capacity comes from clean electricity, and it has the second-largest solar capacity, which means Texas has the most means, space, and potential to accommodate cleaner electricity. Texas as a whole, ranked No. 22 on the list for states with the most clean energy in the SmartAsset report.

In Texas, generation in March 2024 was 1.17 million MWh more year-over-year, which is a 56 percent increase. ERCOT data shows that the system currently has 22,710 megawatts (MW) of operational solar capacity according to IEEFA, and is expected to expand by almost one-third by the end of 2024 with an additional 7,168 MW of capacity added. The number just considers Texas solar projects that have set aside the financing required to get onto the ERCOT grid and that have a signed interconnection agreement.

Texas burned 50.7 million tons of coal for electricity, which was 13 percent of the U.S. total in 2023 according to the EIA grid monitor. Coal's annual share of ERCOT demand ranged from 36 percent to 40 percent from 2003 through 2014. The last year percent. In 2020, coal was under 20 percent in 2020; and was less than 15 percent in 2023 supplying just 13.9 percent of the system’s total demand.

The IEEFA notes coal’s low March production is important because in recent years it has been the moderate temperatures of April and May and steady winds that have affected the usage and the market share.

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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.

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