Texas has the most utility-scale solar capacity installed and is home to 20 percent of the overall U.S. solar fleet. Photo via Getty Images

For the first time, Texas has passed California in the second quarter of 2024 to become the top solar state in the country.

The American Clean Power Association's quarterly market report found that, by adding 3,293 megawatts of new solar year-to-date, Texas has the most utility-scale solar capacity installed, comprising 20 percent of the overall U.S. solar fleet. The American Clean Power Association, which represents over 800 energy storage, wind, utility-scale solar, transmission, and clean hydrogen companies, found that Texas is home to 21,932 megawatts of capacity,

By utilizing clean energy initiatives, Texas included 1.6 gigawatts of new solar, 574 megawatts of storage, and 366 megawatts of onshore wind. With more than 28,000 megawatts, Texas had the highest volume of clean power development capacity in the second quarter. About 163,000 megawatts of capacity overall are in the works throughout the United States. Texas ranks No. 1 for total operating wind capacity and total operating solar capacity, and comes in second for operating storage capacity.

Texas again led in production levels with clean power construction projects nationally, which boasts more than 19,000 megawatts worth of clean power energy currently under construction. With almost 28.3 gigawatts in advanced development or under construction, Texas continues to come in at No.1, as California is next with over 16.4 gigawatts in the state’s project pipeline.

California added more than 1,900 megawatts of new clean power capacity in the second quarter, with its clean energy development behavior leaning more towards adding storage, which amounts to 60 percent of California’s year-to-date clean power installations.

According to the report from SmartAsset, the Lone Star State has the most clean energy capacity at 56,405 megawatts due to its sheer size for solar capacity, but continues to trail states with similar geographic characteristics in overall clean energy prevalence.

Another report published by the U.S. Energy Information Administration, says Texas will make up 35 percent of new utility-scale solar capacity in the U.S. this year, followed by California (10 percent) and Florida (6 percent).

While Texas’ solar efforts have shown positive trends, the state ranked No. 38 in a report by WalletHub that determined it was the thirteenth least green state.

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.

Texas will make up 35 percent of new utility-scale solar capacity in the U.S. this year. Photo via Getty Images

Report: Texas shines as top state for new solar, battery capacity

by the numbers

On a state-by-state basis, Texas will account for the biggest share of new utility-scale solar capacity and new battery storage capacity in 2024, a new federal report predicts.

The report, published by the U.S. Energy Information Administration (EIA), says Texas will make up 35 percent of new utility-scale solar capacity in the U.S. this year, followed by California (10 percent) and Florida (six percent).

In 2024, EIA expects a record-setting addition of 36.4 gigawatts of utility-scale solar capacity across the U.S., nearly double last year’s record-setting addition of 18.4 gigawatts. One gigawatt of electric-generating capacity can power an average of 750,000 homes.

“As the effects of supply chain challenges and trade restrictions ease, solar continues to outpace capacity additions from other generating resources,” the report states.

Meanwhile, a new report from the Environment Texas Research & Policy Center and the Frontier Group found that Texas ranks third in the U.S. for residential solar power generation. Residential solar power generation in Texas grew 646 percent from 2017 through 2022, according to the report.

A February 2023 poll conducted by the University of Houston indicated that nearly two-thirds (64 percent) of Texas homeowners are somewhat or very interested in buying a solar energy system.

“Texas is already soaking up the benefits of rooftop solar,” says Luke Metzger, executive director of the Environment Texas center. “With federal tax credits in place to boost solar adoption in Texas, now is the time to lean in. Every sunny roof without solar panels is a missed opportunity.”

In addition to a spike in utility-scale solar, the EIA report forecasts Texas will lead the way this year in the addition of battery storage capacity, with the expected addition of 6.4 gigawatts. In second place is California, with an expected 5.2 gigawatts of new battery storage capacity. The two states will make up 82 percent of new U.S. battery storage capacity in 2024, says the report.

The federal agency predicts 14.3 gigawatts of U.S. battery storage capacity will be tacked on this year to the existing 15.5 gigawatts.

Overall, EIA anticipates solar will make up 58 percent of all new utility-scale electric-generating capacity this year in the U.S., followed by battery storage at 23 percent.

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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.