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How AI technology is advancing a low-carbon future

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

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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A View From HETI

A View From UH

A Rice University professor studied the Earth's carbon cycle in the Rio Madre de Dios to shed light on current climate conditions. Photo courtesy of Mark Torres/Rice University

Carbon cycles through Earth, its inhabitants, and its atmosphere on a regular basis, but not much research has been done on that process and qualifying it — until now.

In a recent study of a river system extending from the Peruvian Andes to the Amazon floodplains, Rice University’s Mark Torres and collaborators from five institutions proved that that high rates of carbon breakdown persist from mountaintop to floodplain.

“The purpose of this research was to quantify the rate at which Earth naturally releases carbon dioxide into the atmosphere and find out whether this process varies across different geographic locations,” Torres says in a news release.

Torres published his findings in a study published in PNAS, explaining how they used rhenium — a silvery-gray, heavy transition metal — as a proxy for carbon. The research into the Earth’s natural, pre-anthropogenic carbon cycle stands to benefit humanity by providing valuable insight to current climate challenges.

“This research used a newly-developed technique pioneered by Robert Hilton and Mathieu Dellinger that relies on a trace element — rhenium — that’s incorporated in fossil organic matter,” Torres says. “As plankton die and sink to the bottom of the ocean, that dead carbon becomes chemically reactive in a way that adds rhenium to it.”

The research was done in the Rio Madre de Dios basin and supported by funding from a European Research Council Starting Grant, the European Union COFUND/Durham Junior Research Fellowship, and the National Science Foundation.

“I’m very excited about this tool,” Torres said. “Rice students have deployed this same method in our lab here, so now we can make this kind of measurement and apply it at other sites. In fact, as part of current research funded by the National Science Foundation, we are applying this technique in Southern California to learn how tectonics and climate influence the breakdown of fossil carbon.”

Torres also received a three-year grant from the Department of Energy to study soil for carbon storage earlier this year.

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