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    Home»What's Trending»Success Stories: Powering the Future of Data Centers
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    Success Stories: Powering the Future of Data Centers

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    As the demand for digital services, AI (artificial intelligence), and cloud platforms rapidly grows, data centers are becoming critical infrastructure, but their massive power needs create technical, economic, and environmental challenges. Researchers are stepping up with innovative approaches to ensure the next generation of data centers is resilient, efficient, and sustainable.

    Case in point: Professor Ali Mehrizi-Sani, director of Virginia Tech’s Power and Energy Center, is spearheading interdisciplinary research and planning to transform how data centers are powered and managed. With support from Virginia Tech’s College of Engineering Major Grants Initiative, Mehrizi-Sani’s team convened experts from industry, academia, utilities, environmental groups, and policymakers to explore the future of data center ecosystems.

    Mehrizi-Sani emphasizes the importance of new tools and models to coordinate data centers with the power grid, improve planning and reliability, and explore emerging technologies like small modular reactors and advanced battery systems that could further enhance sustainability and efficiency.

    Here is how this can help:

    • Bridges research and practical need by identifying critical scientific, technical, and policy gaps.
    • Drives workforce and economic development with new collaborations.
    • Aligns energy systems with community needs by integrating environmental and public perspectives into planning for infrastructure expansion.

    Looking to the future, we will see more research in this particular area. In this case, this multidisciplinary approach illustrates how engineering research, policy engagement, and industry partnerships can lead to smarter, more resilient digital infrastructure.

    5G Artificial Intelligence Cloud Connected Devices Data Centers Digital Transformation Edge Computing Future of Work Internet of Things IoT Machine Learning Sustainability
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