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Faculté des Sciences
Faculté des Sciences
MASTER THESIS
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Validation of offshore wind data in the Canary Islands and development of typical wind resource years

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Rasneur, Morgane ULiège
Promotor(s) : Alvera Azcarate, Aida ULiège ; SCHALLENBERG, Julieta Cristina
Date of defense : 29-Jun-2023 • Permalink : http://hdl.handle.net/2268.2/17221
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Title : Validation of offshore wind data in the Canary Islands and development of typical wind resource years
Author : Rasneur, Morgane ULiège
Date of defense  : 29-Jun-2023
Advisor(s) : Alvera Azcarate, Aida ULiège
SCHALLENBERG, Julieta Cristina 
Committee's member(s) : Gobert, Sylvie ULiège
Barth, Alexander ULiège
Grégoire, Marilaure ULiège
Language : English
Number of pages : 50
Keywords : [en] Offshore
[en] Wind speed
[en] Canary islands
[en] SIMAR
Discipline(s) : Life sciences > Aquatic sciences & oceanology
Funders : ULPGC
Institution(s) : Université de Liège, Liège, Belgique
Degree: Master en océanographie, à finalité approfondie
Faculty: Master thesis of the Faculté des Sciences

Abstract

[en] In a global context of rising demand for renewable energies, wind turbines are playing an
increasingly important role in the energy landscape. This is particularly true in the Canary
Islands, where the installation of several offshore wind farms are planned for 2030. In order
to assess the energy potential of these wind farms, and to ensure the harmonious integration
of their energy production into the islands’ electricity grid, it is essential to have wind speed
data on the areas for the different wind farms.
In this context, the aim of this Master Thesis carried out at the University of Gran Canaria,
one of the islands concerned by these projects, is to rapidly and efficiently establish a
complete and coherent database presenting the hour-by-hour evolution of wind speeds at a
height of 10 metres for a typical year on the different studied sites.
To achieve this, wind data from different sources were analyzed and compared in order
to gradually converge to a reliable database for each of the sites considered for future wind
farm installations. Three database sources were selected and used: onshore experimental measurement
data, offshore experimental measurement data and modelling data from SIMAR, a
software developed by the Spanish government.
Firstly, onshore and offshore datasets were compared to demonstrate correlation between
trends observed on three different time scales: daily, monthly and annual. SIMAR data were
then compared with onshore experimental data with the same purpose. Then, a typical wind
year was identified for each of the zones studied, thanks to a statistical analysis based on the
Conover-Iman test.
Finally, based on all the above analyses, the SIMAR databases were completed to ensure
continuity of wind data, and adjusted using a daily weighting coefficient to reproduce the
daily behaviour observed in the experimental databases. This enabled hourly wind speeds for
a typical year to be generated for each of the studied sites.
In conclusion, this Master Thesis work has enabled the rapid set up of consistent databases
in areas where future offshore wind farms will be sited, paving the way for further work to
estimate the energy production potential of these farms.


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Author

  • Rasneur, Morgane ULiège Université de Liège > Master en océanogra., à fin.

Promotor(s)

Committee's member(s)

  • Gobert, Sylvie ULiège Université de Liège - ULiège > Département de Biologie, Ecologie et Evolution > Océanographie biologique
    ORBi View his publications on ORBi
  • Barth, Alexander ULiège Université de Liège - ULiège > Département d'astrophys., géophysique et océanographie (AGO) > GeoHydrodynamics and Environment Research (GHER)
    ORBi View his publications on ORBi
  • Grégoire, Marilaure ULiège Université de Liège - ULiège > Département d'astrophys., géophysique et océanographie (AGO) > MAST (Modeling for Aquatic Systems)
    ORBi View his publications on ORBi
  • Total number of views 24
  • Total number of downloads 2










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