AI Ecosystem CourseLearn with Q
AI Ecosystem · In Development

Energy And Power Generation

Explore where AI’s electricity comes from, what it costs and how reliable supply is arranged.

About This Course

What you will learn

An accelerator uses electrical energy to perform computation and produces heat along the way. To sell that computing capacity, a company needs electricity at the right place and time, with equipment that can deliver it. An attractive price per unit of energy tells us only part of the story.

We will build a power strategy for a hypothetical 500 MW campus. Along the way, you will compare generation options, understand storage, read commercial arrangements, and follow the steps between an agreement and delivered power. Modules 0 and 2 provide the computer and workload vocabulary; no electrical engineering background is needed.

Your project, How Electricity Becomes AI Compute, brings together a generation comparison and campus power plan. The calculations use assumed prices, operating profiles, and capacities unless a dated source is given. They explain relationships. An actual engineering design needs qualified specialists, local conditions, and equipment data.

Planned Lessons

  1. Electricity Is A Service Delivered Through A SystemFollow the journey of electricity from its source to an AI computer.
  2. MW And MWh Answer Different QuestionsTell apart how much power a site needs at one moment and how much energy it uses over time.
  3. Generation, Transmission, And DistributionSee how electricity reaches customers through large networks and local power lines.
  4. Dispatch, Adequacy, Reliability, And FirmnessFind out what it means to have enough reliable power for an AI service.
  5. Natural Gas: Conversion Efficiency And Fuel ExposureSee how burning gas produces electricity and how fuel prices affect its cost.
  6. Nuclear: Operating Assets, Restarts, And New DesignsCompare keeping nuclear plants running, restarting old plants and building new ones.
  7. Solar And Wind: Profiles Create Value And ConstraintsSee how weather and time of day affect electricity from sunlight and wind.
  8. Hydro And Geothermal: Location Remains DecisiveFind out why geography matters when using water or underground heat to produce power.
  9. A Battery Has Both A Power Limit And An Energy LimitWork out how much power a battery can provide and how long it can keep providing it.
  10. Demand Flexibility Is An Operational CapabilityExplore when AI work can be moved to a different time to reduce pressure on the power system.
  11. Physical PPAs, Virtual PPAs, And Risk AllocationSee how long-term power contracts divide costs and risks between buyers and sellers.
  12. RECs And Annual Versus Hourly MatchingUnderstand what renewable-energy certificates say about the electricity an AI site uses.
  13. The Electricity Bill Has More Than An Energy PriceRead the different charges on a power bill to understand a site’s electricity costs.
  14. LCOE And The Cost Of A Complete ServiceCompare the cost of producing electricity with the cost of having it available when needed.
  15. Behind The Meter, Co-Location, And MicrogridsExplore ways an AI site can have power generation nearby or on its own premises.
  16. Interconnection And Time-To-PowerFollow the work and waiting time involved in connecting a new AI site to electricity.
  17. Power Strategy Is Also A Community And Environmental StrategyConsider how a site’s power choices affect local people, resources and the environment.