首页|Assessment Method of Offshore Wind Resource Based on Multi-dimensional Indexes System

Assessment Method of Offshore Wind Resource Based on Multi-dimensional Indexes System

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Traditional assessment indexes could not fully de-scribe offshore wind resources,for the meteorological properties of offshore are more complex than onshore.As a result,the uncertainty of offshore wind power projects would be increased and final economic benefits would be affected.Therefore,a study on offshore wind resource assessment is carried out,including three processes of"studying data sources,conducting multi-dimensional indexes system and proposing an offshore wind resource assessment method based on analytic hierarchy process(AHP)".First,measured wind data and two kinds of reanalysis data are used to analyze the characteristics and reliability of data sources.Second,indexes such as effective wind speed occurrence,affluent level occurrence,coefficient of variation,neutral state occurrence have been proposed to depict availability,richness,and stability of offshore wind resources,respectively.Combined with existing parameters(wind power density,dominant wind direction occurrence,water depth,distance to coast),a multi-dimensional indexes system has been built and on this basis,an offshore wind energy potential assessment method has been proposed.Furthermore,the proposed method is verified by the annual energy production of five offshore wind turbines and practical operating data of four offshore wind farms in China.This study also compares the ranking results of the AHP model to two multi-criteria decision making(MCDM)models including weighted aggregated sum product assessment(WASPAS)and multi-attribute ideal real comparative analysis(MAIRCA).Results show the proposed method gains well in practical engineering applications,where the economic score values have been considered based on the offshore reasonable utilization hours of the whole life cycle in China.

Annual energy productionatmospheric stabilitydata sourcesoffshore wind resourcewind power density

Xiaomei Ma、Yongqian Liu、Jie Yan、Shuang Han、Li Li、Hang Meng、Muhammet Deveci、Konstanze K?lle、Umit Cali

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State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources(NCEPU),School of New Energy,North China Electric Power University,Beijing 102206,China

School of Physical and Electronic Information Engineering,Qinghai Normal University,Xining,Qinghai 810016,China

Royal School of Mines,Imperial College London,London SW7 2AZ,UK

Department of Industrial Engineer-ing,Turkish Naval Academy,National Defence University,34940,Istanbul,Turkey

Department of Energy Systems,SINTEF Energy Research,Trondheim,NO-7034 Norway

Department of Electric Power Engineering,Norwegian University of Science and Technology,Trondheim,NO-7491 Norway

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project Research on Smart Operation Control Technologies for Offshore Wind Farms(CONWIND)Norwegian-Chinese collaboration project on offshore wind energy cofinanced by the Research Council of Norway

CONWIND2020-2022contract 304229

2024

中国电机工程学会电力与能源系统学报(英文版)
中国电机工程学会

中国电机工程学会电力与能源系统学报(英文版)

CSTPCDEI
ISSN:2096-0042
年,卷(期):2024.10(1)
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