Optimal Life Extension Management of Offshore Wind Farms Based on the Modern Portfolio Theory

• Main Authors: Baran Yeter, Yordan Garbatov
• Format: Article
• Language: English
• Published: MDPI AG 2021-08-01
• Series: Oceans
• Subjects: offshore wind; life extension; modern portfolio theory; unsupervised machine learning; monopile; risk management
• Online Access: https://www.mdpi.com/2673-1924/2/3/32

The present study aims to develop a risk-based approach to finding optimal solutions for life extension management for offshore wind farms based on Markowitz’s modern portfolio theory, adapted from finance. The developed risk-based approach assumes that the offshore wind turbines (OWT) can be considered as cash-producing tangible assets providing a positive return from the initial investment (capital) with a given risk attaining the targeted (expected) return. In this regard, the present study performs a techno-economic life extension analysis within the scope of the multi-objective optimisation problem. The first objective is to maximise the return from the overall wind assets and the second objective is to minimise the risk associated with obtaining the return. In formulating the multi-dimensional optimisation problem, the life extension assessment considers the results of a detailed structural integrity analysis, a free-cash-flow analysis, the probability of project failure, and local and global economic constraints. Further, the risk is identified as the variance from the expected mean of return on investment. The risk–return diagram is utilised to classify the OWTs of different classes using an unsupervised machine learning algorithm. The optimal portfolios for the various required rates of return are recommended for different stages of life extension.