Technologies such as AI are ready to spur a new wave of innovation and economic growth – and to effectively and meet AIS energy needs and reliably also provides a unique opportunity to modernize our entire energy system.
Therefore, we have worked to bring flexible demand functions into our data center fleet, which allows us to change or reduce the power requirement for certain hours or times of the year. These capabilities, often referred to as demand response, have several benefits, especially as we continue to see electricity growth in the US and elsewhere. It allows large electricity loads such as data centers to be connected faster, helps reduce the need to build new transmission and power plants and help lattice operators more efficiently and effectively control the electricity grid.
We are pleased to report on our progress in the implementation of these capabilities, including two new supply agreements with Indiana Michigan Power (I&M) and Tennessee Valley Authority (TVA). These agreements represent the first time we supply the Data Centers’ demand response by targeting machine learning (ml) workloads. This is based on our successful demonstration with Omaha Public Power District (OPPD), where we reduced the power need associated with ML workloads during three grid events last year – paved the way for us to pursue opportunities in other places.
“I am excited to collaborate with Google to enable demand capacities on their new data center in Fort Wayne, in. When we add new huge stresses to our system, it is critical that we work with our customers to effectively manage the generation and transmission resources needed to meet them. Google’s ability to utilize load flexibility as will be a very valuable tool to accommodate their future energy crew, ”said: Seve Bager, President and Manager The operation of the operation of I and M.
Provides flexibility to strengthen grid
Promoting Google’s 24/7 Carbon -Free Energy Million requires a holistic approach to both acquire clean energy and support the grid through demand solutions. Flexible demand is an important piece of this portfolio-it can be inserted quickly, helping to bridge the gap between short-term load growth and long-term clean energy solutions and delivers immediate benefits.
The first demand features for data center we developed involve switching non-pressing calculation tasks-as to process a YouTube video in specific periods when the grid is strained. Through our ongoing partnerships with Centrica Energy and Transmission System Operator Elia in Belgium and Taiwan Power Company in Taiwan, we have used this capacity to help the justifers maintain reliability during these periods of the year when demand is the highest.
As AI adoption accelerates, we see a significant opportunity to expand our demand tool sets, develop capabilities specifically for ML workloads and utilize them to control large new energy loads. By including stress flexibility in our overall energy plan, we can control AI-driven growth, even when power production and transmission are limited. We believe that this is a promising tool for managing large new energy guides and facilitating investment and growth.