The effect of wind farm micro-siting on output power: A case study in Oman

A. Al Shereiqi, A. Al-Hinai, R. Al-Abri, M. Albadi

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


Micro-siting, also known as Wind Farm Layout Optimization (WFLO), is useful in finding the optimal layout of wind turbines, enabling them to harvest the maximum amount of power. The wake effect that the turbines in wind farms produce on each other causes a reduction in wind velocity, thus altering the overall output power. The wake effect should be minimized in order to maximize the output power. Arbitrary layouts could lead to poor effectiveness in the output power. The main objectives of this study are to quantify the power losses due to layouts and to clearly assess and consider the results of the wake effect model. Jensen's model is used with a fixed number of turbines to demonstrate the importance of the wake effect in wind farming. The direction and wind speed of the selected site are considered when determining the power loss due to turbine layout. This study shows the importance of optimizing the wind farm layout using the wake effect model to obtain maximum output power.

Original languageEnglish
Title of host publication6th IEEE International Energy Conference, ENERGYCon 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages5
ISBN (Electronic)9781728129563
Publication statusPublished - Sep 28 2020
Externally publishedYes
Event6th IEEE International Energy Conference, ENERGYCon 2020 - Virtual, Gammarth, Tunis, Tunisia
Duration: Sep 28 2020Oct 1 2020

Publication series

Name6th IEEE International Energy Conference, ENERGYCon 2020


Conference6th IEEE International Energy Conference, ENERGYCon 2020
CityVirtual, Gammarth, Tunis


  • Heuristic optimization.
  • Layout optimization
  • Micro-siting
  • Wake effect
  • Wind farm

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Mechanical Engineering
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment

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