Capacity Expansion Planning


Capacity Expansion Planning

Energy Exemplar long term algorithms provide the certainty of optimal solutions to the questions of what, when, and where to invest in generation and transmission assets for power water and gas.

The long term model’s features include:

  • Modeling capital and production costs.
  • Regional capacity reserve margins & ancillary services.
  • Maximum number of units built and retired.
  • Technical and financial life spans.
  • Fuel availability and maximum fuel usage.
  • Minimum energy production.
  • Co-generation and other must-run conditions.
  • Emission production limits and renewable energy targets.
  • Hydroelectric storage targets and releasing policies.
  • Wind, solar and battery energy storage system project timing and sizing.
  • Assign practically any rule with the constraint, decision variable and conditional classes.

The long term model is fully integrated with the mid and short term simulation phases to ensure seamless solutions. Users can run the long term either separately or in sequence with any other phase. Once an investment decision is made in the long term solver, it is automatically passed down to other integrated tools – such as the chronological simulation which emulates a market clearing engine for more detailed analysis.

Worldwide, an increasing number of utilities, policy makers and ISO use PLEXOS and Aurora for their capacity expansion modeling.