AI Ecosystem CourseBy Queensly Austin
Module 3

Energy And Power Generation

Introduction Available · Lessons In Development

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 System
  2. MW And MWh Answer Different Questions
  3. Generation, Transmission, And Distribution
  4. Dispatch, Adequacy, Reliability, And Firmness
  5. Natural Gas: Conversion Efficiency And Fuel Exposure
  6. Nuclear: Operating Assets, Restarts, And New Designs
  7. Solar And Wind: Profiles Create Value And Constraints
  8. Hydro And Geothermal: Location Remains Decisive
  9. A Battery Has Both A Power Limit And An Energy Limit
  10. Demand Flexibility Is An Operational Capability
  11. Physical PPAs, Virtual PPAs, And Risk Allocation
  12. RECs And Annual Versus Hourly Matching
  13. The Electricity Bill Has More Than An Energy Price
  14. LCOE And The Cost Of A Complete Service
  15. Behind The Meter, Co-Location, And Microgrids
  16. Interconnection And Time-To-Power
  17. Power Strategy Is Also A Community And Environmental Strategy