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Model-free environmental contours in higher dimensions.

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Title: Model-free environmental contours in higher dimensions.
Authors: Mackay, Ed1 (AUTHOR) e.mackay@exeter.ac.uk, de Hauteclocque, Guillaume2 (AUTHOR) guillaume.de-hauteclocque@bureauveritas.com
Source: Ocean Engineering. Apr2023, Vol. 273, pN.PAG-N.PAG. 1p.
Subjects: Wind waves, Accounting methods, Wind turbines, Source code, Surface waves (Seismic waves), Univariate analysis, Wind speed
Abstract: This paper presents a method for estimating environmental contours in an arbitrary number of dimensions. The method, referred to as Direct-IFORM, does not require a model for the joint distribution of the variables. It can therefore be applied in higher dimensions without degradation in performance. The method involves multiple univariate analyses under rotations of the axes to estimate return values in various directions, which are used to form a contour. The method accounts for serial correlation in the observations, which removes the positive bias that occurs when this is neglected. An efficient open-source code is provided for estimating Direct-IFORM contours. A four-dimensional example is presented for contours of wind speed, wave height, wave period and wind-wave misalignment direction. The application of the method to the design of offshore wind turbines is discussed. • Method presented for estimating contours without need to fit joint distribution. • Method applicable in higher dimensions without degradation in performance. • Method accounts for serial correlation in observations, reducing positive bias. • Open source code in MATLAB and Python provided for estimating Direct-IFORM contours. • Example presented for 4-dimensional contours of wind and wave parameters. [ABSTRACT FROM AUTHOR]
Copyright of Ocean Engineering is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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Header DbId: egs
DbLabel: Engineering Source
An: 162326798
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Model-free environmental contours in higher dimensions.
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  Data: <searchLink fieldCode="JN" term="%22Ocean+Engineering%22">Ocean Engineering</searchLink>. Apr2023, Vol. 273, pN.PAG-N.PAG. 1p.
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  Data: <searchLink fieldCode="DE" term="%22Wind+waves%22">Wind waves</searchLink><br /><searchLink fieldCode="DE" term="%22Accounting+methods%22">Accounting methods</searchLink><br /><searchLink fieldCode="DE" term="%22Wind+turbines%22">Wind turbines</searchLink><br /><searchLink fieldCode="DE" term="%22Source+code%22">Source code</searchLink><br /><searchLink fieldCode="DE" term="%22Surface+waves+%28Seismic+waves%29%22">Surface waves (Seismic waves)</searchLink><br /><searchLink fieldCode="DE" term="%22Univariate+analysis%22">Univariate analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Wind+speed%22">Wind speed</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This paper presents a method for estimating environmental contours in an arbitrary number of dimensions. The method, referred to as Direct-IFORM, does not require a model for the joint distribution of the variables. It can therefore be applied in higher dimensions without degradation in performance. The method involves multiple univariate analyses under rotations of the axes to estimate return values in various directions, which are used to form a contour. The method accounts for serial correlation in the observations, which removes the positive bias that occurs when this is neglected. An efficient open-source code is provided for estimating Direct-IFORM contours. A four-dimensional example is presented for contours of wind speed, wave height, wave period and wind-wave misalignment direction. The application of the method to the design of offshore wind turbines is discussed. • Method presented for estimating contours without need to fit joint distribution. • Method applicable in higher dimensions without degradation in performance. • Method accounts for serial correlation in observations, reducing positive bias. • Open source code in MATLAB and Python provided for estimating Direct-IFORM contours. • Example presented for 4-dimensional contours of wind and wave parameters. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Ocean Engineering is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.oceaneng.2023.113959
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 1
        StartPage: N.PAG
    Subjects:
      – SubjectFull: Wind waves
        Type: general
      – SubjectFull: Accounting methods
        Type: general
      – SubjectFull: Wind turbines
        Type: general
      – SubjectFull: Source code
        Type: general
      – SubjectFull: Surface waves (Seismic waves)
        Type: general
      – SubjectFull: Univariate analysis
        Type: general
      – SubjectFull: Wind speed
        Type: general
    Titles:
      – TitleFull: Model-free environmental contours in higher dimensions.
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            NameFull: Mackay, Ed
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          Name:
            NameFull: de Hauteclocque, Guillaume
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          Dates:
            – D: 01
              M: 04
              Text: Apr2023
              Type: published
              Y: 2023
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            – Type: volume
              Value: 273
          Titles:
            – TitleFull: Ocean Engineering
              Type: main
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