A surrogate model of offshore wind farm annual energy production to support financial valuation

Rafael Valotta Rodrigues*, Mikkel Friis-Møller, Katherine Dykes, Nicolò Pollini, Morten Jensen

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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Abstract

The preliminary financial evaluation of wind farm profitability requires fast analysis of energy production and costs while having very little specific information around the project. Early in the design process, the selection of specific wind turbines and the layout design may not yet be defined. Techno-economic and financial analysis models have been developed to use input from a small set of high-level project characteristics to estimate major cost elements and energy production for a wind farm to support quick analysis of levelized cost of energy (LCoE), or other financial metrics. Such models are typically based on prior project data and/or very simple analytical models. However, as capabilities for financial analysis of wind farms advance, so does the desire to improve the accuracy of the physical and cost modelling of the system. In this work, we develop a surrogate model of Annual Energy Production (AEP) for offshore wind farms for financial analysis applications in the early stages of development. The surrogate is developed from an parameterized engineering model and covers a large potential wind farm design space addressing different technological and site conditions. The surrogate model uncovers the underlying structure in the model in terms of input-output relationships and achieves a coefficient of determination of 0.994. The method used to develop the surrogate model can be adapted for additional dimensions of inputs as needed.
Original languageEnglish
Title of host publicationWind and Wind Farms; Measurement and Testing
Number of pages12
PublisherIOP Publishing
Publication date2022
Article number022003
DOIs
Publication statusPublished - 2022
SeriesJournal of Physics: Conference Series
Number2
Volume2265
ISSN1742-6596

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