Artificial Intelligence and the Nanogrid in Critical Facility Power Infrastructure (2024)

By Ron Slutter, EnerSys; Rahul Khandekar, Ph.D., EnerSys; Francisco Paz, Ph.D., EnerSys; Dan Cooper, Greenside LLC

Artificial Intelligence (AI) refers to developing computer systems that can perform tasks typically requiring human intelligence. These systems learn from data, adapt to new information, and make decisions based on patterns and algorithms. Nanogrids are localized energy systems that operate independently or in conjunction with the main power grid. Unlike large-scale grids, nanogrids serve specific areas, buildings, or communities. They integrate various Distributed Energy Resources (DERs),such as generators, solar panels, wind turbines, batteries, and fuel cells. Using predictive analytics and optimization, we can combine AI and critical power infrastructure to produce a more resilient, sustainable, and efficient system at a lower cost. We are nearing the point where distributed generation becomes the least costly way to provide electricity. The declining cost of renewables and technological advancements make this shift possible.

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