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Chapter 9: Multiobjective, Economic, and Lifecycle CCD

Designing for value rather than a single performance number

Lifecycle CCD expands system value beyond one response metric to capital cost, operation, reliability, maintenance, environmental impact, and multiple operating conditions.

Learning objectives

After completing this chapter, you should be able to:

  1. explain and apply energy production;

  2. explain and apply loads and fatigue;

  3. explain and apply capital cost;

  4. explain and apply operations;

  5. formulate and verify the chapter methods on a wind turbine balancing AEP, structural mass, fatigue, control effort, capital cost, and LCOE.

Mathematical lens

The recurring quantities are plant and controller design, scenarios ss, and objective vector FF:

minF=[AEP,m,Dfatigue,Eu,LCOE].\min F=[-\mathrm{AEP},m,D_{\mathrm{fatigue}},E_u,\mathrm{LCOE}].
Multiobjective Pareto fronts.

Running example

The recurring example is a wind turbine balancing AEP, structural mass, fatigue, control effort, capital cost, and LCOE. Retaining one system prevents apparent improvements from being caused by changed physics, information, loads, or metrics.

Lifecycle cost breakdown.
  1. define stakeholder metrics.

  2. scale objectives.

  3. generate Pareto set.

  4. validate scenarios.

  5. select robust candidate.

Parallel-coordinate candidates.

Chapter map

  1. Multiple Conflicting Objectives

  2. Weighted-Sum and Epsilon-Constraint Methods

  3. Pareto Optimality

  4. Performance, Mass, Energy, and Cost

  5. Reliability and Maintenance

  6. Manufacturability

  7. Environmental and Lifecycle Metrics

  8. Economic Objectives Such as LCOE

  9. Design for Multiple Operating Conditions

  10. Selecting a Final Design from a Pareto Set