The rapid growth of artificial intelligence (AI) and cloud computing has dramatically increased global data center energy consumption, challenging existing low-carbon infrastructure development. This study addresses a crucial gap by comparing the Levelized Cost of Electricity for wind, solar, solar plus battery storage, nuclear, and natural gas technologies tailored explicitly for meeting Meta’s data center energy demands through 2030. Our custom model incorporates detailed capital and operational costs, capacity factors, site-specific data, and sensitivity analyses of key variables. Results indicate solar plus battery storage as the lowest-cost option ($25.11/MWh), albeit sensitive to capital expenditure and capacity factors. Findings guide policymakers, tech firms, and energy planners toward economically viable and environmentally sustainable energy solutions.
Nicholas Institute for Environmental Policy Solutions
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