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AI and the Power Grid Conundrum

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Manage episode 447480129 series 3445110
Content provided by World Future Energy Summit. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by World Future Energy Summit or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

Artificial Intelligence is emerging as a game-changer in the energy sector, with the potential to bring new levels of optimisation and efficiency. On episode 20, we delve into how AI could help reduce global greenhouse gas emissions by up to 10% by 2030, examining the innovations that could transform energy management worldwide.

From predicting building energy use to improving manufacturing processes and even boosting agricultural yields, AI offers powerful tools for energy efficiency. But, like any powerful tool, AI comes with its own energy needs. The computing power required for AI is growing rapidly, doubling every 100 days, according to some studies. This surge in demand has even led to coal-fired power plants in parts of the U.S. being kept online to support new data centres.

Episode 20 explores the balance needed to ensure AI remains a sustainable solution.

Dr. Morgan Eldred, founder of Digital Energy consultancy services and an expert in AI-driven energy efficiencies, and Hassan Shamma, Chief Technology Officer at UAE-based Enerwhere, specialising in off-grid solar solutions, join Jeffrey Beyer, Founder and Managing Director of Zest Associates, to discuss the double-edged sword of AI’s energy-saving potential alongside its growing energy consumption
Powered by World Future Energy Summit, the Future Energy Insights show seeks to address the biggest challenges shaping the future of energy today, both in the Middle East and around the world. Find us on social media at @WFES

  continue reading

28 episodes

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iconShare
 
Manage episode 447480129 series 3445110
Content provided by World Future Energy Summit. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by World Future Energy Summit or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

Artificial Intelligence is emerging as a game-changer in the energy sector, with the potential to bring new levels of optimisation and efficiency. On episode 20, we delve into how AI could help reduce global greenhouse gas emissions by up to 10% by 2030, examining the innovations that could transform energy management worldwide.

From predicting building energy use to improving manufacturing processes and even boosting agricultural yields, AI offers powerful tools for energy efficiency. But, like any powerful tool, AI comes with its own energy needs. The computing power required for AI is growing rapidly, doubling every 100 days, according to some studies. This surge in demand has even led to coal-fired power plants in parts of the U.S. being kept online to support new data centres.

Episode 20 explores the balance needed to ensure AI remains a sustainable solution.

Dr. Morgan Eldred, founder of Digital Energy consultancy services and an expert in AI-driven energy efficiencies, and Hassan Shamma, Chief Technology Officer at UAE-based Enerwhere, specialising in off-grid solar solutions, join Jeffrey Beyer, Founder and Managing Director of Zest Associates, to discuss the double-edged sword of AI’s energy-saving potential alongside its growing energy consumption
Powered by World Future Energy Summit, the Future Energy Insights show seeks to address the biggest challenges shaping the future of energy today, both in the Middle East and around the world. Find us on social media at @WFES

  continue reading

28 episodes

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