NRG Energy forms joint venture to build power plants for ERCOT and AI-driven demand

teaming up

A new joint venture will work on four projects supplying 5 gigawatts of power from combined-cycle power plants for the ERCOT and PJM Interconnection grids. Photo via Getty Images.

Houston-based power provider NRG Energy Inc. has formed a joint venture with two other companies to meet escalating demand for electricity to fuel the rise of data centers and the evolution of generative AI.

NRG’s partners in the joint venture are GE Vernova, a provider of renewable energy equipment and services, and TIC – The Industrial Co., a subsidiary of construction and engineering company Kiewit.

“The growing demand for electricity in part due to GenAI and the buildup of data centers means we need to form new, innovative partnerships to quickly increase America’s dispatchable generation,” Robert Gaudette, head of NRG Business and Wholesale Operations, said in a news release. “Working together, these three industry leaders are committed to executing with speed and excellence to meet our customers’ generation needs.”

Initially, the joint venture will work on four projects supplying 5 gigawatts of power from combined-cycle power plants, which uses a combination of natural gas and steam turbines that produce additional electricity from natural gas waste. Electricity from these projects will be produced for power grids operated by the Electric Reliability Council of Texas (ERCOT) and PJM Interconnection. The projects are scheduled to come online from 2029 through 2032.

The joint venture says the model it’s developing for these four projects is “replicable and scalable,” with the potential for expansion across the U.S.

The company is also developing a new 721-megawatt natural gas combined-cycle unit at its Cedar Bayou plant in Baytown, Texas. Read more here.

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The NOV Supernova Accelerator will work to cultivate relationships between startups and NOV. Photo via Getty Images

NOV's Houston accelerator names inaugural cohort to propel digital transformation in energy

building tech

Houston-based Venture Builder VC has kicked off its NOV Supernova Accelerator and named its inaugural cohort.

The program, originally announced earlier this year, focuses on accelerating digital transformation solutions for NOV Inc.'s operations in the upstream oil and gas industry. It will support high-potential startups in driving digital transformation within the energy sector, specifically upstream oil and gas, and last five months and culminate in a demo day where founders will present solutions to industry leaders, potential investors, NOV executives, and other stakeholders.

The NOV Supernova Accelerator will work to cultivate relationships between startups and NOV. They will offer specific companies access to NOV’s corporate R&D teams and business units to test their solutions in an effort to potentially develop long-term partnerships.

“The Supernova Accelerator is a reflection of our commitment to fostering forward-thinking technologies that will drive the future of oil and gas,” Diana Grauer, director of R&D of NOV, says in a news release.

The cohort’s focus will be digital transformation challenges that combine with NOV’s vision and include data management and analytics, operational efficiency, HSE (Health, Safety, and Environmental) monitoring, predictive maintenance, and digital twins.

Startups selected for the program include:

AnyLog, an edge data management platform that replaces proprietary edge projects with a plug-and-play solution that services real-time data directly at the source, eliminating cloud costs, data transfer, and latency issues.
Equipt, an AI-powered self-serve platform that maximizes Asset & Field Service performance, and minimizes downtime and profit leakages.
Geolumina's platform is a solution that leverages data analytics to enhance skills, scale insights, and improve efficiency for subsurface companies.
Gophr acts as the "Priceline" of logistics, using AI to provide instant shipping quotes and optimize dispatch for anything from paper clips to rocket ships.
IoT++ simplifies industrial IoT with a secure, AI-enabled ecosystem of plug-and-play edge devices.
Kiana's hardware-agnostic solution secures people, assets, and locations using existing Wi-Fi, Bluetooth, UWB, and cameras, helping energy and manufacturing companies reduce risks and enhance operations.
Novity uses AI and physics models to accurately predict machine faults, helping factory operators minimize downtime by knowing the remaining useful life of their machines.
Promecav is redefining crude oil conditioning with patented technology that slashes water use and energy while reducing toxic exposure for safer, cleaner, and more sustainable oil processing.
RaftMind's enterprise AI solution transforms how businesses manage knowledge. Our advanced platform makes it easier to process data and unlock insights from diverse sources.
Spindletop AI uses edge-based machine learning to make each well an autonomous, self-optimizing unit, cutting costs, emissions, and cloud dependence.
Taikun.ai combines generative AI with SCADA data to create virtual industrial engineers, augmenting human teams for pennies an hour.
Telemetry Insight’s platform utilizes high-resolution accelerometer data to simplify oilfield monitoring and optimize marginal wells for U.S. oil and gas producers via actionable insights.
Visual Logging utilizes fiber optic and computer vision technology to deliver real-time monitoring solutions, significantly enhancing data accuracy by providing precise insights into well casing integrity and flow conditions.

“Each startup brings unique solutions to the table, and we are eager to see how these technologies will evolve with NOV’s support and expertise,” Billy Grandy, general partner of Venture Builder VC, says in the release. “This partnership reflects our ongoing commitment to nurturing talent and driving innovation within the energy sector.”

Venture Builder VC is a consulting firm, investor, and accelerator program.

“Unlike mergers and acquisitions, the venture client model allows corporations like NOV to quickly test and implement new technologies without committing to an acquisition or risking significant investment,” Grandy previously said about the accelerator program.

Accenture's Houston hub will introduce a new generative AI studio. Photo via Getty Images

Global corporation to open generative AI studio geared toward energy, chemicals industries in Houston

coming soon

Accenture has announced a new studio coming to Houston that will help its industrial clients with generative artificial intelligence.

The company announced that it will launch a network of studios across North America that will work with clients to explore generative AI applications in business. The initiative will support companies in navigating use cases, conducting AI pilots, and scaling programs. The studios will be in Accenture Innovation Hubs in Chicago, Houston, New York, San Francisco, Toronto and Washington, D.C.

“The studios are designed to help our clients move from interest to action to value, in a responsible way with clear business cases,” Manish Sharma, North America CEO of Accenture, says in the news release. “We are constantly refreshing our learnings from more than 3,000 client conversations on generative AI this year. We use these conversations as demand signals to understand the real-world challenges our clients face and invest in the areas of greatest need and opportunity.”

Each of the studios will have a specific industrial focus as well as broad support. Houston's location will specialize in Industry X, chemicals, energy and utilities industries. The other five markets, according to Accenture, are as follows:

Chicago will specialize in financial services, health, life sciences, consumer goods and services, Industry X and manufacturing.
New York will specialize in life sciences and financial services.
San Francisco will specialize in software and platforms and communications, media, and technology.
Toronto will specialize in financial services, retail, health, and public service.
Washington, D.C. will specialize in health, public service, including federal government services.

The initiative is a part of Accenture’s $3 billion investment in data and AI, and each of the studios will leverage Accenture’s top data and AI experts and partners, including expertise from within Accenture's Center for Advanced AI. Resource access also includes more than 1,450 patents and patent applications in AI solutions, as well as learnings from more than 300 active generative AI projects the company has worked on.

“Clients are ready to move beyond generative AI experimentation. They want to harness generative AI at scale to fundamentally reinvent their business,” Sharma adds. “Clients will come to the studios to access the latest innovations, experiment with new technologies, tools, and approaches to advance their skills, and develop roadmaps to adopt generative AI at scale.”

As the world becomes more reliant on renewable energy, artificial intelligence is proving to be a major game-changer. Photo via Getty Images

How AI technology is advancing a low-carbon future

the view from heti

In the midst of a continuously changing global energy landscape, industry experts, leading energy companies and corporations have rallied together for one common goal: to reach net zero by 2050. As the demand for energy increases, so does the urgency to develop more energy efficient technologies that reduce emissions.

As the world becomes more reliant on renewable energy, artificial intelligence is proving to be a major game-changer. AI is one of the world’s largest disruptors in tech to date with some tech giants pouring millions into research surrounding AI technologies.

While artificial intelligence may not be the first thing to come to mind when talking about the energy industry, it’s already proven its value in fueling the energy transition in multiple domains: improving renewable energy forecasting, grid operations, materials innovation and more. Companies like Accenture have shown how artificial intelligence can play a huge role in steering the energy transition toward a more efficient future.

As a technology services provider, Accenture bridges the gap between technology and human ingenuity to solve some of the world’s most complex issues. With more than 15 years of leadership in metaverse-related technology and more than 1,400 patents, the Accenture Metaverse team brings together metaverse-skilled professionals and market-leading capabilities across Accenture.

The Dublin, Ireland-based company recently announced plans to invest more than $3 billion in artificial intelligence and double its AI-related staff to accommodate demands. Accenture also plans to use generative AI for client work and launch an AI Navigator for Enterprise platform to help guide AI strategy, use cases, decision-making and policy.

With decades of investments and patents, Accenture is no stranger to AI. The company also recently introduced their Net Zero Metaverse, an immersive experience that allows users to explore the future of energy, at the third annual Future of Global Energy conference hosted by the Greater Houston Partnership and the Houston Energy Transition Initiative presented by Chevron. The innovative software system consists of multiple digital worlds including a Charge Stations of the Future, Energy Transition Igloo, a Space Lab and Hydrogen Heights, a renewable-powered neighborhood named after The Heights of Houston.

While Accenture is helping to shift to a more sustainable future, three ways that AI software has already transformed the way we generate, distribute and consume energy are through smart grids, optimized electricity consumption and electricity mobility.

Smart Grids
AI technology can help optimize the efficiency of smart grids, reducing the number of outages and mitigating impact for both residential and commercial customers. In its ability to analyze data collected by smart grids, AI can predict the demand of energy and adjust the flow of electricity accordingly.

Optimized electricity consumption
According to the World Economic Forum, reducing carbon emissions in buildings will be critical to achieving net zero emissions by 2050; buildings represent 39% of global greenhouse gas emissions. AI powered smart buildings and homes can help to reduce energy consumption and operating costs. With the ability to analyze data from sensors and other sources, AI software can identify patterns, predict equipment failures and maintenance needs and help building managers schedule maintenance repairs more efficiently.

Electricity mobility
According to the Congressional Budget Office, transportation is the largest source of greenhouse gas emissions in the United States with CO2 emissions representing about 97% of the global warming potential of all greenhouse emissions. AI software plays a key role in monitoring driving conditions, speed and load levels predicting the most efficient way to use available energy. AI software also helps in safety management and aids in the race to a pollution-free eco-friendly environment.

While AI technology is still advancing, and there is uncertainty in its accuracy, this breakthrough technology is shaping the future of society offering new approaches to optimize energy systems’ operation and reliability.

Learn more about what companies like Accenture are doing with AI technologies.

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This article originally ran on the Greater Houston Partnership's Houston Energy Transition Initiative blog. HETI exists to support Houston's future as an energy leader. For more information about the Houston Energy Transition Initiative, EnergyCapitalHTX's presenting sponsor, visit htxenergytransition.org.

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Rice launches new center focused on membrane technology for energy conversion

new material

Rice University announced the formation of a new center focused on developing advanced membrane materials and separation technologies for the energy transition.

Known as the Rice Center for Membrane Excellence, or RiCeME, the center will aim to secure funding to develop more efficient and sustainable membrane separation practices and advance next-generation membrane materials, which are essential in energy conversion processes.

The center, part of Rice's Water Technologies Entrepreneurship and Research, or WaTER Institute, also plans to drive water reuse and resource recovery solutions, perform bench-scale testing and pilot-scale demonstrations, and even host workforce development workshops and symposia on membrane science and technology.

The announcement was made during the Rice Global Paris Center Symposium in Paris.

RiCeME will be led by Menachem Elimelech, the Nancy and Clint Carlson Professor in Civil and Environmental Engineering and Chemical and Biomolecular Engineering at Rice. His research focuses on membrane-based processes, advanced materials and nanotechnology.

“Houston is the ideal place to drive innovation in membrane separation technologies,” Elimelech said in a news release. “Membranes are critical for energy-related separations such as fuel cells, carbon capture and water purification. Our work will enhance efficiency and sustainability in these key sectors.”

RiCeME will work on building partnerships with Houston-area industries, including oil and gas, chemical, and energy sectors, according to the release. It will also rely on interdisciplinary research by engaging faculty from civil and environmental engineering, chemical and biomolecular engineering, materials science and nanoengineering, and chemistry departments at Rice.

“Breakthroughs in membrane technology will play a crucial role in addressing energy and sustainability challenges,” Ramamoorthy Ramesh, executive vice president for research at Rice, said in a news release. “RiCeME’s interdisciplinary approach ensures that our discoveries move from the lab to real-world applications, driving innovation at the intersection of science and industry.”.

New report ranks Texas in the middle for sustainable development

room to improve

Texas appears in the middle of the pack in a new ranking of the best states for sustainable development.

SmileHub, a nonprofit that rates charities, examined 20 key metrics to create its list of the best states for sustainable development. Among the metrics it studied were the share of urban tree cover, green buildings per capita and clean energy jobs per capita. Once SmileHub crunched all the numbers, it put Texas in 24th place — one notch above average.

The United Nations defines sustainable development as “meeting present needs without compromising the chances of future generations to meet their needs.”

Here’s how Texas fared in several of SmileHub’s ranking categories:

No. 2 for water efficiency and sustainability
No. 7 for presence of wastewater reuse initiatives
No. 18 for environmental protection charities per capita
No. 25 for green buildings per capita
No. 34 for clean energy jobs per capita
No. 34 for industrial toxins per square mile
No. 38 for share of tree cover in urban areas

California leads the SmileHub list, followed by Vermont, Massachusetts, Oregon and Maryland.

When it comes to water, a 2024 report commissioned by Texas 2036, a nonpartisan think tank, recommends that Texas invest $154 billion over the next 50 years in new water supply and infrastructure to support sustainable growth, according to the Greater Houston Partnership.

“The report underscores a stark reality: a comprehensive, sustainable funding strategy for water is necessary to keep Texas economically resilient and competitive,” the partnership says.

Houston-led project earns $1 million in federal funding for flood research

team work

A team from Rice University, the University of Texas at Austin and Texas A&M University have been awarded a National Science Foundation grant under the CHIRRP—or Confronting Hazards, Impacts and Risks for a Resilient Planet—program to combat flooding hazards in rural Texas.

The grant totals just under $1 million, according to a CHIRRP abstract.

The team is led by Avantika Gori, assistant professor of civil and environmental engineering at Rice. Other members include Rice’s James Doss-Gollin, Andrew Juan at Texas A&M University and Keri Stephens at UT Austin.

Researchers from Rice’s Severe Storm Prediction, Education and Evacuation from Disasters Center and Ken Kennedy Institute, Texas A&M’s Institute for A Disaster Resilient Texas and the Technology & Information Policy Institute at UT Austin are part of the team as well.

Their proposal includes work that introduces a “stakeholder-centered framework” to help address rural flood management challenges with community input.

“Our goal is to create a flood management approach that truly serves rural communities — one that’s driven by science but centers around the people who are impacted the most,” Gori said in a news release.

The project plans to introduce a performance-based system dynamics framework that integrates hydroclimate variability, hydrology, machine learning, community knowledge, and feedback to give researchers a better understanding of flood risks in rural areas.

The research will be implemented in two rural Texas areas that struggle with constant challenges associated with flooding. The case studies aim to demonstrate how linking global and regional hydroclimate variability with local hazard dynamics can work toward solutions.

“By integrating understanding of the weather dynamics that cause extreme floods, physics-based models of flooding and AI or machine learning tools together with an understanding of each community’s needs and vulnerabilities, we can better predict how different interventions will reduce a community’s risk,” Doss-Gollin said in a news release.

At the same time, the project aims to help communities gain a better understanding of climate science in their terms. The framework will also consider “resilience indicators,” such as business continuity, transportation access and other features that the team says more adequately address the needs of rural communities.

“This work is about more than flood science — it’s also about identifying ways to help communities understand flooding using words that reflect their values and priorities,” said Stephens. “We’re creating tools that empower communities to not only recover from disasters but to thrive long term.”

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