Expert: Using data to reduce Houston’s oil and gas carbon footprint

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"To solve the climate crisis, confidence in emissions data is crucial." Photo via Getty Images

Sustainability has been top of mind for all industries as we witness movements towards reducing carbon emissions. For instance, last year, the Securities and Exchange Commission (SEC) proposed a new rule that requires companies to disclose certain climate-related activities in their reporting on a federal level. Now, industries and cities are scrambling to ensure they have strategies in the right place.

While the data behind sustainability poses challenges across industries, it is particularly evident in oil and gas, as their role in energy transition is of the utmost importance, especially in Texas. We saw this at the COP26 summit in Glasgow in November 2021, for example, in the effort to reduce carbon emissions on both a national and international scale and keep global warming within 1.5 degrees Celsius.

The event also made it clear achieving this temperature change to meet carbon neutrality by 2030 won’t be possible if organizations rely on current methods and siloed data. In short, there is a data problem associated with recent climate goals. So, what does that mean for Houston’s oil and gas industry?

Climate is a critical conversation – and tech can help

Houston has long been considered the oil and gas capital of the world, and it is now the epicenter of energy transition. You can see this commitment by the industry in the nature of the conferences as well as the investment in innovation centers.

In terms of the companies themselves, over the past few years each of the major oil and gas players have organized and grown their low carbon business units. These units are focused on bringing new ideas to the energy ecosystem. The best part is they are not working alone but joining forces to find solutions. One of the highest profile examples is ExxonMobil’s Carbon Capture and Underground Storage project (CCUS) which directly supports the Paris Agreement.

Blockchain technology is needed to improve transparency and traceability in the energy sector and backing blockchain into day-to-day business is key to identifying patterns and making decisions from the data.

The recent Blockchain for Oil and Gas conference, for instance, focused on how blockchain can help curate emissions across the ecosystem. Recent years have also seen several additional symposiums and meetings – such as the Ion and

Greentown Houston – that focus on helping companies understand their carbon footprint.

How do we prove the data?

The importance of harmonizing data will become even more important as the SEC looks to bring structure to sustainability reporting. As a decentralized, immutable ledger where data can be inputted and shared at every point of action, blockchain works by storing information in interconnected blocks and providing a value-add for insuring carbon offsets. To access the data inside a block, users first need to communicate with it. This creates a chain of information that cannot be hacked and can be transmitted between all relevant parties throughout the supply chain. Key players can enter, view, and analyze the same data points securely and with assurance of the data’s accuracy.

Data needs to move with products throughout the supply chain to create an overall number for carbon emissions. Blockchain’s decentralization offers value to organizations and their respective industries so that higher quantities of reliable data can be shared between all parties to shine a light on the areas they need to work on, such as manufacturing operations and the offsets of buildings. Baking blockchain into day-to-day business practice is key in identifying patterns over time and making data-backed decisions.

Oil and gas are key players

Cutting emissions is not a new practice of the oil and gas industry. In fact, they’ve been cutting emissions estimates by as much as 50 percent to avoid over-reporting.

The traditional process of reporting data has also been time-consuming and prone to human error. Manually gathering data across multiple sources of information delivers no real way to trace this information across supply chains and back to the source. And human errors, even if they are accidental, pose a risk to hefty fines from regulatory agencies.

It’s a now-or-never situation. The industry will need to pivot their approaches to data gathering, sharing, and reporting to commit to emissions reduction. This need will surely accelerate the use of technologies, like blockchain, to be a part of the energy transition. While the climate challenges we face are alarming, they provide the basis we need for technological innovation and the ability to accurately report emissions to stay in compliance.

The Energy Capital of the World, for good

To solve the climate crisis, confidence in emissions data is crucial. Blockchain provides that as well as transparency and reliability, all while maintaining the highest levels of security. The technology provides assurance that the data from other smart technologies, like connected sensors and the Internet of Things (IoT), is trustworthy and accurate.

The need for good data, new technology, and corporate commitment are all key to Houston keeping its title as the energy capital of the world – based on traditional fossil fuels as well as transitioning to clean energy.

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John Chappell is the director of energy business development at BlockApps. This article originally ran on InnovationMap.

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Houston investment firm closes $105M energy venture fund

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Houston-based investment firm Veriten has announced the initial close of its second flagship energy venture fund with more than $105 million in capital commitments.

Fund II will build on Veriten’s initial fund and aim to support “scalable technology solutions for energy, power and industrial applications,” according to a company news release.

"Our differentiated network, research-driven process, and first principles approach to investing are having an impact across multiple verticals including traditional energy, electrification, and industrial technology. Fund II builds on that platform,” John Sommers, partner, investments at Veriten, added in the release. “In this environment, the differentiator isn't capital – it's all about connectivity, deep sector expertise, and an economically-driven approach. As new technologies and approaches develop at breakneck speed, the need for more reliable, affordable energy and power continues to grow dramatically. The current backdrop accentuates the need for Veriten's solution."

Veriten is supported by over 50 strategic partnerships in the energy, power, industrial and technology sectors, including major players like Halliburton and Phillips 66.

"Veriten continues to build a differentiated platform at the intersection of energy, technology and industry expertise," Jeff Miller, chairman and CEO of Halliburton, said in the release. "We were early believers in the team and their ability to identify practical solutions to real challenges across the energy value chain. As all industries increasingly adopt digital tools, automation and AI-enabled technologies to improve performance and execution, we are proud to partner with Veriten again to help accelerate high-impact solutions across the broader energy landscape."

Veriten closed its debut fund, NexTen LP, of $85 million in committed capital in October 2023. It was launched in January 2022 by Maynard Holt, co-founder and former CEO of the energy investment bank Tudor, Pickering, Holt & Co.

It has invested in Houston-based AI-powered electricity analytics provider Amperon and led a $12 million Seed 2 funding round for Houston-based Helix Technologies to scale manufacturing of its energy-efficient commercial HVAC add-on earlier this year. In the past year it has contributed to funding rounds for San Francisco-based Armada and Calgary-based Veerum.

Veriten also named Nick Morriss as its new managing director earlier this month. Morriss most recently served as vice president of business development at next-generation nuclear technology company Natura Resources and spent nearly 20 years at NOV Inc.

Houston energy expert asks: Who pays when AI outruns the power grid?

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For most of the past 20 years, U.S. electricity policy relied on predictable trends in demand. Electricity use, in most regions, increased gradually, forecasts were stable, and utilities adjusted the system in small steps. Power plants, transmission lines, and substations were generally added to reflect shifts in load, rather than growth, and costs were recovered through modest adjustments to customer bills.

Growth in AI data centers has disrupted this model. A single facility can add as much electricity demand as a small town. That demand comes all at once, runs continuously, and has little tolerance for outages. If electricity service drops even briefly, computation stops, and services shut down. Ironically, data centers need reliable service, a point that their emergence is driving concern around for the rest of the grid.

What the numbers say

The International Energy Agency projects global electricity consumption from data centers to double by 2030, reaching roughly 945 TWh, nearly 3 percent of global electricity demand, with consumption growing about 15 percent per year this decade. McKinsey projects that U.S. data center demand alone could grow 20–25 percent per year, with global capacity demand more than tripling by 2030.

After years of roughly 0.5 percent annual demand growth, many forecasts now place total U.S. electricity demand growth closer to 2–3 percent per year through the mid-2030s, with much higher growth in specific regions. In Texas, some forecasters are saying electricity demand could double over the next five years, a staggering 10 percent per year growth rate. What sounds incremental on paper translates into a major challenge on the ground. Meeting this pace of growth is estimated to require $250–$300 billion per year in grid investment, about double what the system has been absorbing.

Where the system starts to strain

The strain appears first in the interconnection queue. It shows up as long waits, backlogs, and delays for connecting new loads and new generation.

Before new generators or large load customers can be connected, a study is required to assess their impact on the grid, whether it can physically handle the added load, and whether upgrades are required. With AI-driven data centers, utilities face far more connection requests than they can realistically support. In ERCOT, large-load interconnection requests exceed 200 gigawatts, most tied to data centers. That amount exceeds historical norms, and it is several times larger than what can be practically studied or built in the near term.

To be clear, public utility commissions are required to study these requests because they must manage system capabilities to ensure minimal disruption. This means engineers spend time evaluating projects that may never be built, while other more commercially viable projects may wait longer for approvals. This extends timelines and makes infrastructure planning less reliable.

Why policymakers are rethinking the rules

Utilities and their regulators must decide how much generation, transmission, and substation capacity to build years before it comes online. Those decisions are based on expected demand at the time projects are approved. When it comes to data centers, by the time infrastructure is completed, they may end up deploying newer, more efficient chips that use less power than originally assumed. This can result in grid infrastructure built for a higher load than what actually materializes, leaving excess capacity that still must be paid for through system-wide rates.

That’s the central dilemma. If utilities build too little capacity, the system operates with less reserve margin. During periods of grid stress, operators have fewer options, increasing the likelihood of curtailments or outages. However, if utilities build too much, customers may be asked to pay for infrastructure that is not fully used.

In response, policymakers are adjusting the rules. In some regions, regulators are moving toward bring-your-own-power approaches that require large data centers to supply or fund part of the capacity needed to serve them or reduce demand during system stress. At the federal level, permitting reforms tied to datacenter infrastructure increasingly treat electricity as a strategic economic input.

As Ken Medlock, senior director at the Baker Institute Center for Energy Studies (CES), explains:

“Many of the planned data centers are now also adding behind-the-meter options to their development plans because they do not anticipate being able to manage their needs solely from the grid, and they certainly cannot do so with only intermittent power sources.”

Behind-the-meter (BTM) refers to power that a consumer controls on its side of the utility meter, such as on-site gas generation or a dedicated power plant. These resources allow data centers to keep operating during grid-related service. Most facilities remain connected to the grid, but the backup BTM generation serves as insurance for operating their core business.

This shifts responsibility. Utilities traditionally manage reliability across all customers by maintaining an operating reserve margin, or spare capacity. Increasingly, large-load customers manage part of their own electricity reliability needs, which changes how infrastructure is planned and how risk is distributed.

Bottom line

AI-driven load growth is arriving faster and in more concentrated places than the power system was built to accommodate. Utilities and regulators are being forced to make decisions sooner than planned about where to build, how fast to build, and which customers get priority when capacity is limited. The effects extend beyond data centers, showing up in system costs, reliability margins, competition for grid access, and pressure on communities and industries that depend on affordable and dependable power. The issue is not whether electricity can be generated, but how the costs and risks of rapid demand growth are distributed as the system tries to keep up. How regulators balance these decisions will determine who pays as AI demand outruns the power grid.

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Scott Nyquist is a senior advisor at McKinsey & Company and vice chairman, Houston Energy Transition Initiative of the Greater Houston Partnership. The views expressed herein are Nyquist's own and not those of McKinsey & Company or of the Greater Houston Partnership. This article originally appeared on LinkedIn.

Texas solar set to overtake coal for first time in 2026, EIA forecasts

solar on the rise

Solar power promises to shine even brighter in Texas this year.

A new forecast from the U.S. Energy Information Administration (EIA) indicates that for the first time, annual power generation from utility-scale solar will surpass annual power generation from coal across the territory covered by the Electric Reliability Council of Texas (ERCOT).

Solar generation is expected to reach 78 billion kilowatt-hours in 2026 in the ERCOT grid, compared with 60 billion kilowatt-hours for coal, the EIA forecast says. The ERCOT grid supplies power to about 90 percent of Texas, including the Houston area.

“Utility-scale solar generation has been increasing steadily in ERCOT as solar capacity additions help meet rapid electricity demand growth,” the forecast says.

Although natural gas remains the dominant source of electricity generation in ERCOT, accounting for an average 44 percent of electricity generation from 2021 to 2025, solar’s share of the generation mix rose from four percent to 12 percent. During the same period, coal’s share dropped from 19 percent to 13 percent.

EIA predicts about 40 percent of U.S. solar capacity, or 14 billion kilowatt-hours, added in 2026 will come from Texas.

Although EIA expects annual solar generation to exceed annual coal generation in 2026, solar surpassed coal in ERCOT on a monthly basis for the first time in March 2025, when solar generation totaled 4.33 billion kilowatt-hours and coal’s totaled 4.16 billion kilowatt-hours. Solar generation continued to exceed that of coal until August of that year.

“In 2026, we estimate that solar exceeded coal for the first time in March, and we forecast generation from solar installations in ERCOT will continue to exceed that from coal until December, when coal generation exceeds solar,” says EIA. “We expect solar generation to exceed that of coal for every month in 2027 except January and December.”

For 2027, EIA forecasts annual solar generation of 99 billion kilowatt-hours in the ERCOT grid, compared with 66 billion kilowatt-hours of annual coal generation.

In April, ERCOT projected almost 368 billion kilowatt-hours of demand in ERCOT’s territory by 2032. ERCOT’s all-time peak demand hit 85.5 billion kilowatt-hours in August 2023.

“Texas is experiencing exceptional growth and development, which is reshaping how large load demand is identified, verified, and incorporated into long-term planning,” ERCOT President and CEO Pablo Vegas said. “As a result of a changing landscape, we believe this forecast to be higher than expected … load growth.”

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