The UH team is developing ways to use machine learning to ensure that power systems can continue to run efficiently when pulling their energy from wind and solar sources. Photo via Getty Images

An associate professor at the University of Houston received the highly competitive National Science Foundation CAREER Award earlier this month for a proposal focused on integrating renewable resources to improve power grids.

The award grants more than $500,000 to Xingpeng Li, assistant professor of electrical and computer engineering and leader of the Renewable Power Grid Lab at UH, to continue his work on developing ways to use machine learning to ensure that power systems can continue to run efficiently when pulling their energy from wind and solar sources, according to a statement from UH. This work has applications in the events of large disturbances to the grid.

Li explains that currently, power grids run off of converted, stored kinetic energy during grid disturbances.

"For example, when the grid experiences sudden large generation losses or increased electrical loads, the stored kinetic energy immediately converted to electrical energy and addressed the temporary shortfall in generation,” Li said in a statement. “However, as the proportion of wind and solar power increases in the grid, we want to maximize their use since their marginal costs are zero and they provide clean energy. Since we reduce the use of those traditional generators, we also reduce the power system inertia (or stored kinetic energy) substantially.”

Li plans to use machine learning to create more streamlined models that can be implemented into day-ahead scheduling applications that grid operators currently use.

“With the proposed new modeling and computational approaches, we can better manage grids and ensure it can supply continuous quality power to all the consumers," he said.

In addition to supporting Li's research and model creations, the funds will also go toward Li and his team's creation of a free, open-source tool for students from kindergarten up through their graduate studies. They are also developing an “Applied Machine Learning in Power Systems” course. Li says the course will help meet workforce needs.

The CAREER Award recognizes early-career faculty members who “have the potential to serve as academic role models in research and education and to lead advances in the mission of their department or organization,” according to the NSF. It's given to about 500 researchers each year.

Earlier this year, Rice assistant professor Amanda Marciel was also granted an NSF CAREER Award to continue her research in designing branch elastomers that return to their original shape after being stretched. The research has applications in stretchable electronics and biomimetic tissues.
The new course will provide participants with insights on how to use robotics to enhance efficiency in data collection, AI data analysis tools for industry, risk management with AI, and more. Photo courtesy of UH

Houston university launches latest micro-credential course focused on AI, robotics for the energy industry

coming soon

The University of Houston will launch its latest micro-credential course next month that focuses on how AI and robotics can be used in inspection processes for the energy industry.

Running from March 22 through April 22, the course is open to "engineers, technicians and industry professionals with advanced knowledge in the dynamic fields of robotics and AI," according to a statement from UH. It will combine weekly online lectures and in-person hands-on demonstrations and provide participants with insights on how to use robotics to enhance efficiency in data collection, AI data analysis tools for industry, risk management with AI, and more.

“By blending theoretical knowledge with practical applications and hands-on experience, the course aims to empower participants with the skills needed to evaluate and adopt these advanced technologies to address real-world challenges in asset management,” Vedhus Hoskere, assistant professor at the UH Cullen College of Engineering, said in a statement. “We hope that upskilling and knowledge gained from this course will help accelerate the adoption of AI and robotics and contribute to the advancement of safer and more resource-efficient energy infrastructure systems.”

Hoskere will teach the course module titled “Computer Vision and Deep Learning for Inspections.” He also recently received a $500,000 grant from the Texas Department of Transportation (TxDOT) to look at how to use drones, cameras, sensors and AI to support Texas' bridge maintenance programs.

Other leaders of the UH Energy course will include:

  • Kimberley Hayes, founder of Valkim Technologies: Lead speaker who will provide an overview and introduction of AI applications, standards and certification
  • Gangbing Song, Moores Professor of Mechanical Engineering at UH: Machine learning hands-on exercises
  • Pete Peterson, head of product management and marketing with XaaS Lab: Computer vision technology in the oil and gas industry
  • Matthew Alberts, head of project management with Future Technologies Venture Venture LLC: Use cases, workflow and optimizing inspections with AI and drones
  • Suchet Bargoti, chief technology officer at Abyss Solutions: AI and robots for integrity management.

Registration accepted up to the first day of the course and can be completed online.

The world can't keep on with what it's doing and expect to reach its goals when it comes to climate change. Radical innovations are needed at this point, writes Scott Nyquist. Photo via Getty Images

Only radical innovation can get the world to its climate goals, says this Houston expert

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Almost 3 years ago, McKinsey published a report arguing that limiting global temperature rises to 1.5 degrees Celsius above pre-industrial levels was “technically achievable,” but that the “math is daunting.” Indeed, when the 1.5°C figure was agreed to at the 2015 Paris climate conference, the assumption was that emissions would peak before 2025, and then fall 43 percent by 2030.

Given that 2022 saw the highest emissions ever—36.8 gigatons—the math is now more daunting still: cuts would need to be greater, and faster, than envisioned in Paris. Perhaps that is why the Intergovernmental Panel on Climate Change (IPCC) noted March 20 (with “high confidence”) that it was “likely that warming will exceed 1.5°C during the 21st century.”

I agree with that gloomy assessment. Given the rate of progress so far, 1.5°C looks all but impossible. That puts me in the company of people like Bill Gates; the Economist; the Australian Academy of Science, and apparently many IPCC scientists. McKinsey has estimated that even if all countries deliver on their net zero commitments, temperatures will likely be 1.7°C higher in 2100.

In October, the UN Environment Program argued that there was “no credible pathway to 1.5°C in place” and called for “an urgent system-wide transformation” to change the trajectory. Among the changes it considers necessary: carbon taxes, land use reform, dietary changes in which individuals “consume food for environmental sustainability and carbon reduction,” investment of $4 trillion to $6 trillion a year; applying current technology to all new buildings; no new fossil fuel infrastructure. And so on.

Let’s assume that the UNEP is right. What are the chances of all this happening in the next few years? Or, indeed, any of it? President Obama’s former science adviser, Daniel Schrag, put it this way: “ Who believes that we can halve global emissions by 2030?... It’s so far from reality that it’s kind of absurd.”

Having a goal is useful, concentrating minds and organizing effort. And I think that has been the case with 1.5°C, or recent commitments to get to net zero. Targets create a sense of urgency that has led to real progress on decarbonization.

The 2020 McKinsey report set out how to get on the 1.5°C pathway, and was careful to note that this was not a description of probability or reality but “a picture of a world that could be.” Three years later, that “world that could be” looks even more remote.

Consider the United States, the world’s second-largest emitter. In 2021, 79 percent of primary energy demand (see chart) was met by fossil fuels, about the same as a decade before. Globally, the figures are similar, with renewables accounting for just 12.5 percent of consumption and low-emissions nuclear another 4 percent. Those numbers would have to basically reverse in the next decade or so to get on track. I don’t see how that can happen.

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Credit: Energy Information Administration

But even if 1.5°C is improbable in the short term, that doesn’t mean that missing the target won’t have consequences. And it certainly doesn’t mean giving up on addressing climate change. And in fact, there are some positive trends. Many companies are developing comprehensive plans for achieving net-zero emissions and are making those plans part of their long-term strategy. Moreover, while global emissions grew 0.9 percent in 2022, that was much less than GDP growth (3.2 percent). It’s worth noting, too, that much of the increase came from switching from gas to coal in response to the Russian invasion of Ukraine; that is the kind of supply shock that can be reversed. The point is that growth and emissions no longer move in lockstep; rather the opposite. That is critical because poorer countries are never going to take serious climate action if they believe it threatens their future prosperity.

Another implication is that limiting emissions means addressing the use of fossil fuels. As noted, even with the substantial rise in the use of renewables, coal, gas, and oil are still the core of the global energy system. They cannot be wished away. Perhaps it is time to think differently—that is, making fossil fuels more emissions efficient, by using carbon capture or other technologies; cutting methane emissions; and electrifying oil and gas operations. This is not popular among many climate advocates, who would prefer to see fossil fuels “stay in the ground.” That just isn’t happening. The much likelier scenario is that they are gradually displaced. McKinsey projects peak oil demand later this decade, for example, and for gas, maybe sometime in the late 2030s. Even after the peak, though, oil and gas will still be important for decades.

Second, in the longer term, it may be possible to get back onto 1.5°C if, in addition to reducing emissions, we actually remove them from the atmosphere, in the form of “negative emissions,” such as direct air capture and bioenergy with carbon capture and storage in power and heavy industry. The IPCC itself assumed negative emissions would play a major role in reaching the 1.5°C target; in fact, because of cost and deployment problems, it’s been tiny.

Finally, as I have argued before, it’s hard to see how we limit warming even to 2°C without more nuclear power, which can provide low-emissions energy 24/7, and is the largest single source of such power right now.

None of these things is particularly popular; none get the publicity of things like a cool new electric truck or an offshore wind farm (of which two are operating now in the United States, generating enough power for about 20,000 homes; another 40 are in development). And we cannot assume fast development of offshore wind. NIMBY concerns have already derailed some high-profile projects, and are also emerging in regard to land-based wind farms.

Carbon capture, negative emissions, and nuclear will have to face NIMBY, too. But they all have the potential to move the needle on emissions. Think of the potential if fast-growing India and China, for example, were to develop an assembly line of small nuclear reactors. Of course, the economics have to make sense—something that is true for all climate-change technologies.

And as the UN points out, there needs to be progress on other issues, such as food, buildings, and finance. I don’t think we can assume that such progress will happen on a massive scale in the next few years; the actual record since Paris demonstrates the opposite. That is troubling: the IPCC notes that the risks of abrupt and damaging impacts, such as flooding and crop yields, rise “with every increment of global warming.” But it is the reality.

There is one way to get us to 1.5°C, although not in the Paris timeframe: a radical acceleration of innovation. The approaches being scaled now, such as wind, solar, and batteries, are the same ideas that were being discussed 30 years ago. We are benefiting from long-term, incremental improvements, not disruptive innovation. To move the ball down the field quickly, though, we need to complete a Hail Mary pass.

It’s a long shot. But we’re entering an era of accelerated innovation, driven by advanced computing, artificial intelligence, and machine learning that could narrow the odds. For example, could carbon nanotubes displace demand for high-emissions steel? Might it be possible to store carbon deep in the ocean? Could geo-engineering bend the curve?

I believe that, on the whole, the world is serious about climate change. I am certain that the energy transition is happening. But I don’t think we are anywhere near to being on track to hit the 1.5°C target. And I don’t see how doing more of the same will get us there.

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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 ran on LinkedIn.

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Chevron, TotalEnergies back energy storage startup's $15.8M series A

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A California startup that's revolutionizing polymer cathode battery technology has announced its series A round of funding with support from Houston-based energy transition leaders.

LiNova Energy Inc. closed a $15.8 million series A round led by Catalus Capital. Saft, a subsidiary of TotalEnergies, which has its US HQ in Houston, and Houston-based Chevron Technology Ventures, also participated in the round with a coalition of other investors.

LiNova will use the funds with its polymer cathode battery to advance the energy storage landscape, according to the company. The company uses a high-energy polymer battery technology that is designed to allow material replacement of the traditional cathode that is made up of cobalt, nickel, and other materials.

The joint development agreement with Saft will have them collaborate to develop the battery technology for commercialization in Saft's key markets.

“We are proud to collaborate with LiNova in scaling up its technology, leveraging the extensive experience of Saft's research teams, our newest prototype lines, and our industrial expertise in battery cell production," Cedric Duclos, CEO of Saft, says in a news release.

CTV recently announced its $500 million Future Energy Fund III, which aims to lead on emerging mobility, energy decentralization, industrial decarbonization, and the growing circular economy. Chevron has promised to spend $10 billion on lower carbon energy investments and projects by 2028.

Houston innovation leaders secure SBA funding to start equitability-focused energy lab

trying for DEI

A group of Houston's innovation and energy leaders teamed up to establish an initiative supporting equitability in the energy transition.

Impact Hub Houston, a nonprofit incubator and ecosystem builder, partnered with Energy Tech Nexus to establish the Equitable Energy Transition Alliance and Lab to accelerate startup pilots for underserved communities. The initiative announced that it's won the 2024 U.S. Small Business Administration Growth Accelerator Fund Competition, or GAFC, Stage One award.

"We are incredibly honored to be recognized by the SBA alongside our esteemed partners at Energy Tech Nexus," Grace Rodriguez, co-founder and executive director of Impact Hub Houston, says in a news release. "This award validates our shared commitment to building a robust innovation ecosystem in Houston, especially for solutions that advance the Sustainable Development Goals at the critical intersections of industry, innovation, sustainability, and reducing inequality."

The GAFC award, which honors and supports small business research and development, provides $50,000 prize to its winners. The Houston collaboration aligns with the program's theme area of Sustainability and Biotechnology.

“This award offers us a great opportunity to amplify the innovations of Houston’s clean energy and decarbonization pioneers,” adds Juliana Garaizar, founding partner of the Energy Tech Nexus. “By combining Impact Hub Houston’s entrepreneurial resources with Energy Tech Nexus’ deep industry expertise, we can create a truly transformative force for positive change.”

Per the release, Impact Hub Houston and Energy Tech Nexus will use the funding to recruit new partners, strengthen existing alliances, and host impactful events and programs to help sustainable startups access pilots, contracts, and capital to grow.

"SBA’s Growth Accelerator Fund Competition Stage One winners join the SBA’s incredible network of entrepreneurial support organizations contributing to America’s innovative startup ecosystem, ensuring the next generation of science and technology-based innovations scale into thriving businesses," says U.S. SBA Administrator Isabel Casillas Guzman.

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This article originally ran on InnovationMap.

Texas-based Tesla gets China's initial approval of self-driving software

global greenlight

Shares of Tesla stock rallied Monday after the electric vehicle maker's CEO, Elon Musk, paid a surprise visit to Beijing over the weekend and reportedly won tentative approval for its driving software.

Musk met with a senior government official in the Chinese capital Sunday, just as the nation’s carmakers are showing off their latest electric vehicle models at the Beijing auto show.

According to The Wall Street Journal, which cited anonymous sources familiar with the matter, Chinese officials told Tesla that Beijing has tentatively approved the automaker's plan to launch its “Full Self-Driving,” or FSD, software feature in the country.

Although it's called FSD, the software still requires human supervision. On Friday the U.S. government’s auto safety agency said it is investigating whether last year’s recall of Tesla’s Autopilot driving system did enough to make sure drivers pay attention to the road. Tesla has reported 20 more crashes involving Autopilot since the recall, according to the National Highway Traffic Safety Administration.

In afternoon trading, shares in Tesla Inc., which is based in Austin, Texas, surged to end Monday up more than 15% — its biggest one-day jump since February 2020. For the year to date, shares are still down 22%.

Tesla has been contending with its stock slide and slowing production. Last week, the company said its first-quarter net income plunged by more than half, but it touted a newer, cheaper car and a fully autonomous robotaxi as catalysts for future growth.

Wedbush analyst Dan Ives called the news about the Chinese approval a “home run” for Tesla and maintained his “Outperform” rating on the stock.

“We note Tesla has stored all data collected by its Chinese fleet in Shanghai since 2021 as required by regulators in Beijing,” Ives wrote in a note to investors. “If Musk is able to obtain approval from Beijing to transfer data collected in China abroad this would be pivotal around the acceleration of training its algorithms for its autonomous technology globally.”