MD7’s Post

“While AI has the potential to revolutionize nuclear energy, several challenges remain, including regulatory hurdles, public perception, and the high initial costs associated with nuclear power plants. However, with advancements in AI technology and ongoing concerns about climate change, AI could play a crucial role in making nuclear energy more viable and widely accepted. #AI #energytrasition #infrastructure” https://lnkd.in/gTG_YfEj

The explosive growth in data centers confirms that AI is real and the need for enormous amounts of 24x7 energy to support it are uniquely met by nuclear power. The importance of the existing fleet of plants and efforts to expand this capability through new builds, life extension, and power updates is becoming an energy industry imperative. https://lnkd.in/exTmPWx5

Everyone talks about AI first, then #nvdia , #amd , etc. but tends to ignore the huge amount of energy consumption behind AI development, which we look at from a Cloud Usage standpoint. As stated in the linked research, AI, manufacturing, and transportation are significantly increasing the electricity demand, making it a natural move to clean energy. Looking across all key Cloud Service Providers on the market, all of them are racing towards a sustainable future: 🚀 Amazon Web Services (AWS): 🎯 100% renewable energy by 2025. 🎯 Net-zero carbon by 2040. 🌱 Investing in solar and wind projects. 🚀 Microsoft Azure 🎯 Carbon negative by 2030. 🎯 Remove all historical emissions by 2050. 💧 Water-positive initiatives. 🚀 Google Cloud 🎯 24/7 carbon-free energy by 2030. 🎯 Net-zero emissions across all operations by 2030. 🤖 AI-optimized data centers. 🚀 IBM Cloud 🎯 Net-zero greenhouse gas emissions by 2030. 🤖 AI and hybrid cloud solutions for sustainability. 🚀 Oracle Cloud 🎯 100% renewable energy in data centers by 2025. 🌱 Efficient cooling and power management. 🔋 Investing in renewables. 🚀 Alibaba Cloud 🎯 Carbon neutrality in Scope 1 and 2 emissions by 2030. #carbonfootprint #sustainability #cleanenergy #cloud #datacenter

Nuclear power has struggled to compete on a cost basis with other methods of energy generation due to the maintenance and oversight required to safely operate nuclear power plants. Will the AI boom and big data centers lead a resurgence for the reliable, carbon-free electric produced by nuclear power? The next few years will be facinating to watch for the industy!

Why Big Tech is Betting on Nuclear Power 🔋🌐 As the world races towards a sustainable future, Big Tech is turning to an unexpected ally: nuclear power. In a bid to secure clean, reliable energy, tech giants are investing in advanced nuclear technologies. Discover how AI and innovation are revolutionizing the energy sector and why nuclear power might be the key to a greener tomorrow. Read more about this exciting development in Quartz's latest article! 🔗 Read the full article here - (https://loom.ly/dv9jW-s) #Sustainability #CleanEnergy #NuclearPower #BigTech #Innovation #AI #FutureOfEnergy

Wow! recent agreements by technology companies to lock up clean, reliable nuclear power for data centers are sending shockwaves for those of us concerned about the ability of our country's energy sector/grids to meet our exploding demand for electricity. We need to quickly add more nuclear power generation throughout the national grid (in addition to other sources) to maintain stability and to protect life. The U.S. Nuclear Regulatory Commission must support this urgent national need by developing a comprehensive safety license process for advanced reactors which are engineered and fueled for safety and easier deployment. Brian McCormack Jim Howe Jeffrey "Jeff" C. Crater L. David Cherington Kimberly VanWyhe Ted J. Garrish Michael Kappaz Dominique Cooper Richard G Kidd IV Grace Stanke Andrew Richards Christopher Ploch, Esq. Jess Gehin             #nuclear #advancednuclearpower #nuclearenergy #nuclearpower #cleanenergy #renewables #renewableenergy #Advancednuclearreactor #environment #UCANpower #energy #power https://lnkd.in/eqy5BM9Y

This is an interesting article worth reading! As we move into a new age of digital reliance, there are unknowns about fueling the massive data centers required to use the technology. #datacenter #ai #nuclear #energy #fuel #energytransition

The Wall Street Journal article on Tech-Nuclear Power marriage, behind-the-meter deals and the tech industry’s growing demand for #nuclear power to fuel #AI and #datacenters that is making headlines. But beneath the surface, there are critical issues that deserve attention.The article highlights how data centers and tech companies are eager to secure nuclear power deals but overlooks the nuclear waste management challenge. *** #NuclearWaste Oversight: While the allure of nuclear energy lies in its reliability and low greenhouse gas emissions, we must not overlook the long-lasting radioactive waste it generates *** #YuccaMountain Debacle: The ambitious geologic nuclear waste repository project in Nevada that consumed billions of dollars. It was ultimately dismissed due to technical and political challenges. Yet, the need for safe waste disposal remains. *** #SmallModularReactor (#SMR): These compact nuclear reactors, touted as the future of energy, promise cost savings and safety benefits. However, 2022 study by Center for International Security and Cooperation at Stanford University, reveals a surprising twist: SMRs may actually produce more radioactive waste than their larger counterparts. Neutron reflectors and chemically reactive fuels contribute to this excess waste volume. *** Decay Heat and #Radiochemistry: SMRs won’t reduce the generation of key fission products like iodine-129, technetium-99, and selenium-79—critical for assessing repository performance. Additionally, SMR spent fuel contains relatively high concentrations of fissile nuclides, posing challenges for storage and disposal. As the world seeks cleaner #energy solutions, we must grapple with the complexities of #nuclearpower. Let’s engage in informed discussions about waste management, safety, and the delicate balance between #innovation and responsibility.

Demand for emission-free, reliable and cost-competitive nuclear power is surging. But it faces significant hurdles to getting built, including the daunting and expensive U.S. nuclear regulatory process for project developers. Thanks to Jennifer Hiller for reporting on the work that Microsoft and Terra Praxis are doing to test whether generative artificial intelligence could help streamline the approval process. "Power demand is growing globally at the same time a range of industries are trying to shift away from fossil fuels", said Michelle Patron, Microsoft’s senior director of sustainability policy. “If we’re going to do that carbon-free, we’re going to need all the tools in the tool kit,” she said. "AI could cut by as much as 90% the amount of human hours spent getting a new nuclear power plant approved", said Eric Ingersoll, founding director and co-CEO of Terra Praxis. He added that AI could help speed up environmental permitting for renewables developers, too. Kirsty Gogan, founding director and co-CEO at Terra Praxis, said the idea is to automate routine work and leave specialized regulators and developers to work on “issues that need to be resolved by people not robots.” 

US govt wants to talk to tech companies about AI electricity demands — eyes nuclear fusion and fission https://lnkd.in/enzC5S9w Visit https://thehorizon.ai for more AI news. #AI #artificialintelligence #energy