Megawatts to Zettaflops: A Techno-Economic Framework for Grid-Tied Behind-the-Meter Architectures in AI Data Centers

The rapid proliferation of artificial intelligence (AI) has pushed hyperscale data center rack densities beyond 100 kW, driving facility power requirements to the gigawatt scale. As developers attempt to deploy these massive Zettascale compute loads across US wholesale electricity markets, they enco...

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Autor principal:	Erick C. Jones
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	MDPI AG 2026-05-01
Colección:	Electricity
Materias:	zettascale computing behind-the-meter (BTM) generation microgrid architecture levelized cost of energy (LCOE) avoided loss of load probability (ALOLP) grid interconnection
Acceso en línea:	https://www.mdpi.com/2673-4826/7/2/43
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