Soon, you'll be able to cruise to your destination without a driver in Houston. Photo via Cruise/Facebook

A new driverless ridehail service is coming to Houston: Cruise, the all-electric, driverless car company backed by GM, is expanding in Texas with launches in both Dallas and the Bayou City.

This follows an initial launch in Austin in 2022, their first city in Texas.

Cruise builds and operates driverless vehicles that you can call via an app, like any other ride hailing service. "But our vehicles show up without anyone else inside," they say.

The entire fleet is all-electric and the vehicles are equipped with a 360-view, with the ability to react to whatever they encounter on the road.

They test their vehicles using simulations, through millions of scenarios and virtual miles; they’ve also driven more than 4 million real miles, mostly in San Francisco.

They have not defined what the cost will be but according to The Verge, the rates in San Francisco vary depending on length of trip and time of day: "A customer taking a 1.3-mile trip would pay 90 cents per mile and 40 cents per minute, in addition to a $5 base fee and 1.5 percent city tax, for a total of $8.72." By comparison, an Uber ride for the same trip would cost at least $10.41.

The company was founded in 2013 and vehicles began to hit the road in 2022. They operate a total fleet of roughly 300 all-electric AVs, powered 100 percent by renewable energy. In addition to Austin, they operate in San Francisco and Phoenix, where they've completed 35,000 self-driving deliveries in a partnership with Walmart.

According to a statement from CEO Kyle Vogt, they'll begin supervised driving (with a safety driver behind the wheel) in Houston as they finetune their AI technology to understand the nuances and unique elements of the city, with Dallas to follow shortly after.

In a blog post, Vogt says their cars drive the speed limit and come to a complete stop at every stop sign. They respond to police sirens, flashing lights on fire trucks or ambulances, and stop signs that fold out of school buses.

They react to people on scooters, people using bike lanes, and cars driving on the wrong side of the road. "In short, they are designed to drive safely by obeying the law and driving in a humanlike way," he says. Actually, that sounds better than humans.

When vehicles encounter a situation where they aren’t 100 percent sure of what to do, they slow down or stop and pull over to the side of the road. This has caused some bumps in San Francisco where cars stopped and idled in the street for no apparent reason, delaying bus riders and disrupting the work of firefighters.

Some of the "bumps" have been comical, such as the 2022 incident in which a confused San Francisco police officer pulled a Cruise over, and then the Cruise drove away.

And as Reuters notes, autonomous vehicles have not rolled out as fast as anticipated, due to regulations, safety investigations, and arduous technology.

When Cruise first enters a city, they hire a mapping and data collection team to learn bike lanes, school zones, and major intersections. But most of the time, the vehicles will be carrying riders in the back seat, or completely empty and en route to another pickup.

The company partners with first responders, including police and fire departments, to ensure they’re ready and familiar with how to interact with the vehicles, engaging with those agencies before and after launch.

"Our guiding mission has always been to improve road safety, reduce emissions, and reduce congestion with our driverless ride-hail service in cities, which is where we’ll see the most significant positive impact the soonest," Vogt says. "Houston and Dallas are committed to reducing traffic deaths as part of their Vision Zero commitments, and we are excited to operate in and partner with these new communities in this shared mission."

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This article originally ran on CultureMap.

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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.

Energy co. to build 30 micro-nuclear reactors in Texas to meet rising demand

going nuclear

A Washington, D.C.-based developer of micro-nuclear technology plans to build 30 micro-nuclear reactors near Abilene to address the rising demand for electricity to operate data centers across Texas.

The company, Last Energy, is seeking permission from the Electric Reliability Council of Texas (ERCOT) and the U.S. Nuclear Regulatory Commission to build the microreactors on a more than 200-acre site in Haskell County, about 60 miles north of Abilene.

The privately financed microreactors are expected to go online within roughly two years. They would be connected to ERCOT’s power grid, which serves the bulk of Texas.

“Texas is America’s undisputed energy leader, but skyrocketing population growth and data center development is forcing policymakers, customers, and energy providers to embrace new technologies,” says Bret Kugelmass, founder and CEO of Last Energy.

“Nuclear power is the most effective way to meet Texas’ demand, but our solution—plug-and-play microreactors, designed for scalability and siting flexibility—is the best way to meet it quickly,” Kugelmass adds. “Texas is a state that recognizes energy is a precondition for prosperity, and Last Energy is excited to contribute to that mission.”

Texas is home to more than 340 data centers, according to Perceptive Power Infrastructure. These centers consume nearly 8 gigawatts of power and make up 9 percent of the state’s power demand.

Data centers are one of the most energy-intensive building types, says to the U.S. Department of Energy, and account for approximately 2 percent of the total U.S. electricity use.

Microreactors are 100 to 1,000 times smaller than conventional nuclear reactors, according to the Idaho National Laboratory. Yet each Last Energy microreactor can produce 20 megawatts of thermal energy.

Before announcing the 30 proposed microreactors to be located near Abilene, Last Energy built two full-scale prototypes in Texas in tandem with manufacturing partners. The company has also held demonstration events in Texas, including at CERAWeek 2024 in Houston. Last Energy, founded in 2019, is a founding member of the Texas Nuclear Alliance.

“Texas is the energy capital of America, and we are working to be No. 1 in advanced nuclear power,” Governor Greg Abbott said in a statement. “Last Energy’s microreactor project in Haskell County will help fulfill the state’s growing data center demand. Texas must become a national leader in advanced nuclear energy. By working together with industry leaders like Last Energy, we will usher in a nuclear power renaissance in the United States.”

Nuclear energy is not a major source of power in Texas. In 2023, the state’s two nuclear power plants generated about 7% of the state’s electricity, according to the U.S. Energy Information Administration. Texas gains most of its electricity from natural gas, coal, wind, and solar.

Tesla targets Houston area for $200 million 'mega' battery factory

Tesla Town

Tesla is expected to bring a “megafactory” and 1,500 manufacturing jobs to the Houston area.

According to various news reports this week, Tesla intends to spend $200 million on a facility in Brookshire, Texas. The Waller County Commissioners Court approved tax abatements on March 5 for the new plant.

“We are super excited about this opportunity—1,500 advanced manufacturing jobs in the county and in the city," Waller County Precinct 4 Commissioner Justin Beckendorff said during Wednesday’s Commissioners Court meeting.

Tesla will lease two buildings in Brookshire's Empire West Business Park. According to documents from Waller County, Tesla will add $44 million in facility improvements. In addition, it will install $150 million worth of manufacturing equipment.

As part of the deal, Tesla will invest in property improvements that involve a 600,000-square-foot, $31 million manufacturing facility that will house $2 million worth of equipment and include improvements to the venue.

The facility will produce Tesla megapacks, which are powerful batteries to provide energy storage and support, according to the company. A megapack can store enough energy to power about 3,600 homes for one hour.

Tesla can receive a 60 percent tax abatement for 10 years. According to the tax abatement agreement, Tesla has to employ at least 1,500 people by 2028 in order to be eligible for the tax break.

In addition to the employment clause, Tesla also will be required to have a minimum of $75 million in taxable inventory by January 1, 2026, which will increase to $300 million after three years.

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This story originally appeared on our sister site, InnovationMap.