What Is Data Center Energy Use?
A plain-English guide to what data center energy use includes, why it is growing, and why AI has made the topic more important.
Article library
Data center energy articles
Browse explainers on AI electricity demand, cooling, grid capacity, energy sources, costs, emissions, and local planning issues.
Why AI Data Centers Use So Much Electricity
Why AI workloads can create large electricity demand, from GPU clusters and inference growth to cooling and power delivery.
Data Center Power Capacity and Megawatts Explained
What megawatts mean in data center planning, why peak demand differs from yearly energy use, and how capacity shapes projects.
AI GPUs and Electricity Demand Explained
How GPUs and AI accelerators affect data center power density, cooling needs, and infrastructure planning.
Data Center Cooling Explained
How data centers remove heat, why cooling affects energy use, and why AI workloads are changing cooling design.
Liquid Cooling vs Air Cooling in Data Centers
A practical comparison of air cooling, liquid cooling, hybrid cooling, and the tradeoffs created by high-density AI workloads.
Power Usage Effectiveness, or PUE, Explained
What PUE measures, what it does not measure, and why data center efficiency needs more than one number.
Data Centers and Grid Capacity Explained
Why data centers can stress local grids, how utilities plan for large loads, and why AI growth makes grid capacity a public issue.
Data Center Interconnection Queues Explained
What interconnection queues are, why large power requests can take time, and how they affect data center projects.
Backup Power and UPS Systems in Data Centers
How UPS systems, generators, batteries, and reliability planning support data center uptime during grid disturbances.
Data Centers and Renewable Energy Explained
How data centers use renewable energy contracts, what clean-energy claims mean, and why timing and location matter.
Data Centers and Natural Gas Power Explained
Why natural gas appears in data center power discussions, including reliability, speed, emissions, and grid planning tradeoffs.
Data Centers and Nuclear Power Explained
Why nuclear power is being discussed for data centers, including firm low-carbon supply, timelines, cost, and public concerns.
Data Center Water Use Explained
Why some data centers use water, how cooling choices affect water consumption, and what communities should ask.
Data Center Siting and Permitting Explained
What governments and communities review when data centers are proposed, including land, power, cooling, water, noise, and infrastructure.
Community Concerns About Data Centers Explained
Why communities raise concerns about data centers and how projects can address power, water, noise, land use, and transparency.
Data Center Electricity Costs Explained
What drives data center electricity cost, including power prices, demand charges, cooling, backup systems, and efficiency.
Edge Data Centers vs Hyperscale Data Centers
How edge and hyperscale data centers differ in purpose, energy use, grid impact, and AI infrastructure planning.
Data Center Carbon Emissions Explained
How electricity supply, backup power, embodied carbon, and reporting choices affect data center emissions.
Planning an AI-Ready Data Center Energy Strategy
A planning guide for connecting AI demand, power capacity, cooling, cost, grid constraints, carbon goals, and governance.
Data Center Power Purchase Agreements Explained
How PPAs work for data centers, what they can and cannot prove, and how they relate to renewable energy claims.
Data Center Noise and Neighborhood Impact Explained
Why data centers can create local noise and neighborhood concerns, and what mitigation questions communities should ask.