EPRI’s Post

The new Energy race driven by the AI race…. Don’t miss EPRI study on Powering Intelligence: Analyzing Artificial Intelligence and Data Center Energy Consumption, and the opportunity that this means for our energy industry!

As AI systems continue to advance and proliferate, their insatiable demand for computational power and data storage threatens to consume an increasingly large share of the world's energy resources, raising urgent questions about the long-term sustainability of our technological trajectory. Here are the report of EPRI regarding data centers of US. #ai#datascience#ml#innovation

Increase of AI technology is a powerful in many different ways, but it could also create challanges when it comes to power consumption- for training and operating data centers. This is a great white paper addressing the issue and providing 4 different senarios the electricity increase could go. I do want to thank everybody who put so much effort and work into this paper especially Tom Wilson, Jordan Aljbour and Rick Moore 🙏

The landscape of electricity is seeing one of the largest rapid disruptions ever. Data centers and AI require so much power. It will be interesting to see what happens not just in 3-5 years as many models look towards, but with hyper activity, what things will happen in the next 6 months and year.

Being from Ireland, the data center load growth story is one that has only become more consequential over time - from file storage to cloud services, crypto and now AI. An ever increasing proportion of economies’ work, our social interactions and cultural products are served through data centers. 🧭At EPRI, we have a 360 approach to thinking about datacenters and their relationship with electricity, considering power supply, grid connection, sustainability, efficiency, markets, reliability and grid operation. 📋Check out our latest paper on the impact of AI, and what it could mean for those interested in the energy that powers that future.

There’s a lot of buzz about how AI is and will be transforming the world but, the massive impact it has on the energy infrastructure is not talked about enough. For context, a simple google search is estimated to consume 0.3 watt-hours whereas, a ChatGPT query could take up to 2.9 watt-hours (almost ten times as much!) of energy. And this is only the beginning, as there are more powerful AI tools being built with much higher energy requirements. This white paper titled "Powering Intelligence: Analyzing AI and Data Center Energy Consumption" from EPRI deep dives into the current and future energy trends of data center development and proposes a few key strategies to address the ever-increasing energy demand for AI data centers: 1. Enhancing efficiency in hardware and implementing efficient cooling solutions. (Cooling systems typically consume 40% of the total energy required in a data center) 2. Utilizing clean onsite or nearby energy sources (nuclear, renewable) coupled with BESS which can be used a grid resource if needed. 3. The data center-grid relationship should transition from a ‘passive load’ model to a ‘shared energy economy’ model with grid resources powering data centers and data center back up resources contributing to grid reliability. 4. Better forecasting and planning for future growth; constructing and bringing large data centers online could typically take 2-3 years, whereas the supporting energy infrastructure could take four or more years. For those interested, here’s the link to the paper:

Powering Intelligence: Analyzing Artificial Intelligence and Data Center Energy Consumption Summary: The white paper from EPRI provides an in-depth analysis of the rapid growth in data center electricity demand, driven by the proliferation of AI technologies. The report highlights that data centers, one of the fastest-growing industries globally, are set to consume an increasing share of electricity. This growth is accentuated by the introduction of energy-intensive AI models like OpenAI's ChatGPT, which significantly boost computational needs. Key Points: Data center electricity demand is projected to more than double by 2026, with AI applications contributing significantly to this increase. The electricity consumption for AI queries is substantially higher than traditional data retrieval tasks, exemplified by ChatGPT using ten times the power of a typical Google search. The concentration of data center power demands in specific regions presents local challenges, with states like Virginia and Texas seeing substantial impacts. Strategies to support this rapid expansion include improving data center efficiency, enhancing collaboration between data centers and electric companies, and developing better modeling tools to forecast and manage grid investments. The report outlines scenarios for data center load growth from 2023 to 2030, estimating that data centers could account for up to 9.1% of U.S. electricity generation by 2030. It emphasizes the need for a coordinated approach to manage this growth sustainably, highlighting the potential for advanced cooling technologies, energy-efficient hardware, and scalable clean energy solutions. #AI #DataCenters #EnergyConsumption #EPRI #ArtificialIntelligence #ChatGPT #CleanEnergy #Sustainability #GridManagement #TechInnovation #DataCenterEfficiency #ElectricityDemand #FutureTech https://lnkd.in/gg22tghp

Cy McGeady's latest Power Line newsletter explains the significance of electric power demand growth driven by AI investment, federal industrial policy, and mass electrification. Read here: https://lnkd.in/exX7bS8V

An updated and modern grid is critical given the significant increases in demand for electricity. As market researchers active in the utility space, we partner with our clients to understand evolving customer needs that are driving this demand. Schmidt Market Research

"By next year’s EnergyUK conference, we would like to see an environment, a regulatory and policy making environment, that really makes the most of the potential of innovation and technology to reconcile the need for accelerated energy transition and the need for affordability for clients." - Michael Jary, Managing Director of EMEA and APAC at Sense. Read more from Garima Satija in Energy Live News: https://bit.ly/46Uku3w. #AI #MachineLearning