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Powering Data Centers with Microgrids and SMR: A Guide to Reduce OPEX Costs by 60%
March 26, 2025
March 26, 2025
1:00 PM ET / 12:00 PM CT / 10:00 AM PT / 6:00 PM GMT
Duration: 1 hour
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Summary
The exponential growth of data center energy demand, particularly driven by advancements in Artificial Intelligence (AI), has emerged as one of the most pressing challenges for energy infrastructure globally.
However, existing grid infrastructure is increasingly constrained, particularly in regions with concentrated data center activity. Transmission bottlenecks, aging infrastructure, and long timelines for grid upgrades present significant challenges for meeting this explosive demand.
In this webinar, we will demonstrate:
- How Microgrids, powered by Distributed Energy Resources (DERs) offer a promising solution by reducing dependency on centralized grids, integrating generation from multiple fuels and storage, and providing load flexibility.
- The benefits of a strategy that includes and prepares for Small Modular Reactors (SMRs) when they become commercially available.
- The immediate and long-term benefits of this multi-year approach through real-world data center examples in Santa Clara, California and Ashburn, Virginia, USA
- How to optimize your energy investments, reduce OPEX costs by 60-80%, and significantly reduce CO₂ emissions by using Xendee’s advanced Microgrid Modeling platform to design the right site-specific multi-year strategy.
Speaker
Michael Stadler
Co-Founder & Chief Technology Officer, Xendee
Xendee
Michael is the recipient of the Presidential Science Award from the White House in 2016, and is a recognized global leader in Distributed Energy Resource (DER) integration analytics. Most recently at Lawrence Berkeley National Laboratory, Michael led both the Grid Integration and Microgrid research groups, where he managed an international team of over 40 researchers.
He was the lead developer of the Distributed Energy Resource Customer Adoption Model (DER-CAM) platform, which was recognized as one of the most advanced economic decision support tools ever created for locational economic optimization of Microgrids and hybrid distributed energy systems. Michael holds several U.S. and international patents in the areas of electrical power system design, optimization, and capacity assessment.
Michael has a Ph.D., with honors, in Energy Economics from the Vienna University of Technology in Austria.
Moderator
Matthew Vincent
Editor-in-Chief
Data Center Frontier
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