Modelling epistemic uncertainty in offshore wind farm production capacity to reduce risk

Athena Zitrou, Tim Bedford, Lesley Walls

Research output: Contribution to journalArticlepeer-review

Abstract

Financial stakeholders in offshore wind farm projects require predictions of energy production capacity to better manage the risk associated with investment decisions prior to construction. Predictions for early operating life are particularly important due to the dual effects of cash flow discounting and the anticipated performance growth due to experiential learning. We develop a general marked point process model for the times to failure and restoration events of farm subassemblies to capture key uncertainties affecting performance. Sources of epistemic uncertainty are identified in design and manufacturing effectiveness. The model then captures the temporal effects of epistemic and aleatory uncertainties across subassemblies to predict the farm availability‐informed relative capacity (maximum generating capacity given the technical state of the equipment). This performance measure enables technical performance uncertainties to be linked to the cost of energy generation. The general modeling approach is contextualized and illustrated for a prospective offshore wind farm. The production capacity uncertainties can be decomposed to assess the contribution of epistemic uncertainty allowing the value of gathering information to reduce risk to be examined.
Original languageEnglish
Number of pages17
JournalRisk Analysis
Early online date27 Nov 2021
DOIs
Publication statusE-pub ahead of print - 27 Nov 2021

Keywords

  • epistemic uncertainty
  • availability
  • production capacity
  • offshore wind farm
  • risk management

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