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Estimating the offshore wind power potential of Portugal by utilizing gray-zone atmospheric modeling.

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Title: Estimating the offshore wind power potential of Portugal by utilizing gray-zone atmospheric modeling.
Authors: Baki, H.1 (AUTHOR) h.baki@tudelft.nl, Basu, S.2,3 (AUTHOR), Lavidas, G.4 (AUTHOR)
Source: Journal of Renewable & Sustainable Energy. Nov2024, Vol. 16 Issue 6, p1-16. 16p.
Subject Terms: *Wind power, *Offshore wind power plants, *Power resources, *Wind power plants, *Territorial waters
Abstract: Advancements in floating offshore wind energy are unlocking the potential of the coastal waters of Portugal for the installation of wind farms. A thorough evaluation of coastal effects and variability across different time scales is crucial to ensure successful offshore wind farm investments. State-of-the-art atmospheric reanalysis datasets fall short in explaining the coastal effects due to their modest grid resolution. This study aims to fill this gap by simulating a 31-year wind dataset at a gray-zone resolution of 500 m using the Weather Research and Forecasting model, covering a significant portion of the Portugal coast. The gray-zone refers to grid scales of a few hundred meters, where turbulence is only partially resolved, traditional turbulence modeling breaks down, and large-eddy simulations are computationally prohibitive. The newly generated dataset has been validated with buoy observations and compared against reanalysis datasets, demonstrating improved performance and highlighting its higher fidelity in assessing wind resources. Two wind turbine power curves, the Leanwind 8 megawatt (MW) reference wind turbine (RWT), which has been commercialized, and the International Energy Agency (IEA) 15 MW RWT, which represents future commercialization, are considered in energy production calculations. In the simulated data, the Iberian Peninsula Coastal Jet (IPCJ) emerges as a crucial factor influencing wind maxima, especially during the summer months. The diurnal and annual variability of wind energy resources aligns with the occurrence of IPCJ, highlighting its impact on wind energy generation. The energy production capability of the 15 MW turbine model is demonstrated to be significantly higher, attributed not only to its increased capacity but also to the stronger jet winds near the turbine hub height. Interestingly, wind resources are not monotonically increasing with distance from the coastline, but a tongue-like resource maxima is observed, which is attributed to the IPCJ. [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
FullText Text:
  Availability: 0
Header DbId: enr
DbLabel: Energy & Power Source
An: 181974440
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Estimating the offshore wind power potential of Portugal by utilizing gray-zone atmospheric modeling.
– Name: Author
  Label: Authors
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  Data: <searchLink fieldCode="AR" term="%22Baki%2C+H%2E%22">Baki, H.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> h.baki@tudelft.nl</i><br /><searchLink fieldCode="AR" term="%22Basu%2C+S%2E%22">Basu, S.</searchLink><relatesTo>2,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lavidas%2C+G%2E%22">Lavidas, G.</searchLink><relatesTo>4</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Renewable+%26+Sustainable+Energy%22">Journal of Renewable & Sustainable Energy</searchLink>. Nov2024, Vol. 16 Issue 6, p1-16. 16p.
– Name: Subject
  Label: Subject Terms
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  Data: *<searchLink fieldCode="DE" term="%22Wind+power%22">Wind power</searchLink><br />*<searchLink fieldCode="DE" term="%22Offshore+wind+power+plants%22">Offshore wind power plants</searchLink><br />*<searchLink fieldCode="DE" term="%22Power+resources%22">Power resources</searchLink><br />*<searchLink fieldCode="DE" term="%22Wind+power+plants%22">Wind power plants</searchLink><br />*<searchLink fieldCode="DE" term="%22Territorial+waters%22">Territorial waters</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Advancements in floating offshore wind energy are unlocking the potential of the coastal waters of Portugal for the installation of wind farms. A thorough evaluation of coastal effects and variability across different time scales is crucial to ensure successful offshore wind farm investments. State-of-the-art atmospheric reanalysis datasets fall short in explaining the coastal effects due to their modest grid resolution. This study aims to fill this gap by simulating a 31-year wind dataset at a gray-zone resolution of 500 m using the Weather Research and Forecasting model, covering a significant portion of the Portugal coast. The gray-zone refers to grid scales of a few hundred meters, where turbulence is only partially resolved, traditional turbulence modeling breaks down, and large-eddy simulations are computationally prohibitive. The newly generated dataset has been validated with buoy observations and compared against reanalysis datasets, demonstrating improved performance and highlighting its higher fidelity in assessing wind resources. Two wind turbine power curves, the Leanwind 8 megawatt (MW) reference wind turbine (RWT), which has been commercialized, and the International Energy Agency (IEA) 15 MW RWT, which represents future commercialization, are considered in energy production calculations. In the simulated data, the Iberian Peninsula Coastal Jet (IPCJ) emerges as a crucial factor influencing wind maxima, especially during the summer months. The diurnal and annual variability of wind energy resources aligns with the occurrence of IPCJ, highlighting its impact on wind energy generation. The energy production capability of the 15 MW turbine model is demonstrated to be significantly higher, attributed not only to its increased capacity but also to the stronger jet winds near the turbine hub height. Interestingly, wind resources are not monotonically increasing with distance from the coastline, but a tongue-like resource maxima is observed, which is attributed to the IPCJ. [ABSTRACT FROM AUTHOR]
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=181974440
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1063/5.0222974
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 16
        StartPage: 1
    Subjects:
      – SubjectFull: Wind power
        Type: general
      – SubjectFull: Offshore wind power plants
        Type: general
      – SubjectFull: Power resources
        Type: general
      – SubjectFull: Wind power plants
        Type: general
      – SubjectFull: Territorial waters
        Type: general
    Titles:
      – TitleFull: Estimating the offshore wind power potential of Portugal by utilizing gray-zone atmospheric modeling.
        Type: main
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          Name:
            NameFull: Baki, H.
      – PersonEntity:
          Name:
            NameFull: Basu, S.
      – PersonEntity:
          Name:
            NameFull: Lavidas, G.
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      – BibEntity:
          Dates:
            – D: 01
              M: 11
              Text: Nov2024
              Type: published
              Y: 2024
          Identifiers:
            – Type: issn-print
              Value: 19417012
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              Value: 16
            – Type: issue
              Value: 6
          Titles:
            – TitleFull: Journal of Renewable & Sustainable Energy
              Type: main
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