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

doi:10.1109/ENERGYCon48941.2020.9236454

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 proceeding › Conference contribution

1 Citation (Scopus)

Abstract

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 language	English
Title of host publication	6th IEEE International Energy Conference, ENERGYCon 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	494-498
Number of pages	5
ISBN (Electronic)	9781728129563
DOIs	https://doi.org/10.1109/ENERGYCon48941.2020.9236454
Publication status	Published - Sept 28 2020
Externally published	Yes
Event	6th IEEE International Energy Conference, ENERGYCon 2020 - Virtual, Gammarth, Tunis, Tunisia Duration: Sept 28 2020 → Oct 1 2020

Publication series

Name	6th IEEE International Energy Conference, ENERGYCon 2020

Conference

Conference	6th IEEE International Energy Conference, ENERGYCon 2020
Country/Territory	Tunisia
City	Virtual, Gammarth, Tunis
Period	9/28/20 → 10/1/20

Keywords

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/ENERGYCon48941.2020.9236454

Cite this

Shereiqi, A. A., Al-Hinai, A., Al-Abri, R., & Albadi, M. (2020). The effect of wind farm micro-siting on output power: A case study in Oman. In 6th IEEE International Energy Conference, ENERGYCon 2020 (pp. 494-498). Article 9236454 (6th IEEE International Energy Conference, ENERGYCon 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ENERGYCon48941.2020.9236454

The effect of wind farm micro-siting on output power: A case study in Oman. / Shereiqi, A. Al; Al-Hinai, A.; Al-Abri, R. et al.
6th IEEE International Energy Conference, ENERGYCon 2020. Institute of Electrical and Electronics Engineers Inc., 2020. p. 494-498 9236454 (6th IEEE International Energy Conference, ENERGYCon 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Shereiqi, AA, Al-Hinai, A , Al-Abri, R & Albadi, M 2020, The effect of wind farm micro-siting on output power: A case study in Oman. in 6th IEEE International Energy Conference, ENERGYCon 2020., 9236454, 6th IEEE International Energy Conference, ENERGYCon 2020, Institute of Electrical and Electronics Engineers Inc., pp. 494-498, 6th IEEE International Energy Conference, ENERGYCon 2020, Virtual, Gammarth, Tunis, Tunisia, 9/28/20. https://doi.org/10.1109/ENERGYCon48941.2020.9236454

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abstract = "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.",

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note = "Funding Information: This research is supported by Sultan Qaboos University and HMTF project (SR/ENG/ECE/17/01). The authors would like to acknowledge the support of Oman Rural Areas Electricity Company. Publisher Copyright: {\textcopyright} 2020 IEEE.; 6th IEEE International Energy Conference, ENERGYCon 2020 ; Conference date: 28-09-2020 Through 01-10-2020",

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AU - Albadi, M.

N1 - Funding Information: This research is supported by Sultan Qaboos University and HMTF project (SR/ENG/ECE/17/01). The authors would like to acknowledge the support of Oman Rural Areas Electricity Company. Publisher Copyright: © 2020 IEEE.

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N2 - 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.

AB - 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.

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

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

UN SDGs

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