Climatic Efficiency Analysis of Ten Leading UK Offshore Wind Farms: A Data-Driven Approach

Liyang Ma, Chenyi Li, Long Zhang

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

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Abstract

As wind energy becomes increasingly important in global energy systems, accurately evaluating the performance of wind farms is essential for understanding wind generation efficiency and fostering sustainable development. The aim of this paper is to assess wind power generation efficiency under different climatic wind conditions. A data-driven approach is used to simulate the power generation of ten leading wind farms in the UK, using real wind data and geographic information while considering wake effects. Furthermore, to evaluate whether these wind farms perform optimally when climate-related wind patterns change, we modify the layouts of the wind farms and compare their performance with the original designs. Extensive results from 15 years (2008 to 2023) of wind data show that the originally designed layouts of these ten leading wind farms will no longer be optimal when the wind resource changes.
Original languageEnglish
Title of host publicationThe 2024 International Conferences on Life System Modeling and Simulation (LSMS2024) & The 2024 Intelligent Computing for Sustainable Energy and Environment (ICSEE2024)
Publication statusAccepted/In press - 1 Jun 2024

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