Geometrical approach for wind farm symmetrical layout design optimization

Sultan Al-Yahyai, Yassine Charabi, Adel Gastli

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Wind farm layout orientation plays an important factor to reduce the total wake loss and hence increase the capacity factor of the wind farm. Different wind farms layout design optimization techniques are widely used and classified into five different types including, Pattern Search Algorithm (PSAs), Gradient Search Algorithms (GSAs), Greedy Heuristic Algorithms (GHAs), Simulated Annealing Algorithms (SAAs), and Genetic Algorithms (GAs). The quality of the optimized solution depends on the complexity of the used algorithm. This paper proposes a simple geometrical approach which can be easily used by designers in setting their initial layout which will save significant computational time during the design optimization process. It considers symmetrical wind farm layouts which satisfy visual environmental constraints. The proposed approach shows that the optimum wind farm layout is displaced around 18o from the predominant wind median axis. Validation of the proposed approach is also presented for three sites in the Sultanate of Oman using the European computer program 'Wind Atlas Analysis and Application Program (WAsP)'.

Original languageEnglish
Title of host publication2015 IEEE 8th GCC Conference and Exhibition, GCCCE 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479984220
DOIs
Publication statusPublished - Mar 12 2015
Event2015 IEEE 8th GCC Conference and Exhibition, GCCCE 2015 - Muscat, Oman
Duration: Feb 1 2015Feb 4 2015

Publication series

Name2015 IEEE 8th GCC Conference and Exhibition, GCCCE 2015

Other

Other2015 IEEE 8th GCC Conference and Exhibition, GCCCE 2015
Country/TerritoryOman
CityMuscat
Period2/1/152/4/15

Keywords

  • Oman
  • WAsP
  • Wind Farm
  • layout
  • optimization
  • turbine

ASJC Scopus subject areas

  • General Energy
  • General Engineering
  • General Computer Science

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