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Title: Maximization of the annual energy production of wind power plants by optimization of layout and yaw-based wake control: Maximization of wind plant AEP by optimization of layout and wake control

Abstract

This paper presents a wind plant modeling and optimization tool that enables the maximization of wind plant annual energy production (AEP) using yaw-based wake steering control and layout changes. The tool is an extension of a wake engineering model describing the steady-state effects of yaw on wake velocity profiles and power productions of wind turbines in a wind plant. To make predictions of a wind plant's AEP, necessary extensions of the original wake model include coupling it with a detailed rotor model and a control policy for turbine blade pitch and rotor speed. This enables the prediction of power production with wake effects throughout a range of wind speeds. We use the tool to perform an example optimization study on a wind plant based on the Princess Amalia Wind Park. In this case study, combined optimization of layout and wake steering control increases AEP by 5%. The power gains from wake steering control are highest for region 1.5 inflow wind speeds, and they continue to be present to some extent for the above-rated inflow wind speeds. The results show that layout optimization and wake steering are complementary because significant AEP improvements can be achieved with wake steering in a windmore » plant layout that is already optimized to reduce wake losses.« less

Authors:
 [1];  [2];  [2];  [1];  [1]
  1. National Renewable Energy Laboratory, Golden CO USA
  2. Brigham Young University, Provo UT USA
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE)
OSTI Identifier:
1336182
Report Number(s):
NREL/JA-5000-65892
Journal ID: ISSN 1095-4244
DOE Contract Number:  
AC36-08GO28308
Resource Type:
Journal Article
Journal Name:
Wind Energy
Additional Journal Information:
Journal Volume: 20; Journal Issue: 1; Journal ID: ISSN 1095-4244
Publisher:
Wiley
Country of Publication:
United States
Language:
English
Subject:
17 WIND ENERGY; wind plant optimization; wind turbine control; wind turbine wakes; wind plant systems engineering; NREL

Citation Formats

Gebraad, Pieter, Thomas, Jared J., Ning, Andrew, Fleming, Paul, and Dykes, Katherine. Maximization of the annual energy production of wind power plants by optimization of layout and yaw-based wake control: Maximization of wind plant AEP by optimization of layout and wake control. United States: N. p., 2016. Web. doi:10.1002/we.1993.
Gebraad, Pieter, Thomas, Jared J., Ning, Andrew, Fleming, Paul, & Dykes, Katherine. Maximization of the annual energy production of wind power plants by optimization of layout and yaw-based wake control: Maximization of wind plant AEP by optimization of layout and wake control. United States. doi:10.1002/we.1993.
Gebraad, Pieter, Thomas, Jared J., Ning, Andrew, Fleming, Paul, and Dykes, Katherine. Tue . "Maximization of the annual energy production of wind power plants by optimization of layout and yaw-based wake control: Maximization of wind plant AEP by optimization of layout and wake control". United States. doi:10.1002/we.1993.
@article{osti_1336182,
title = {Maximization of the annual energy production of wind power plants by optimization of layout and yaw-based wake control: Maximization of wind plant AEP by optimization of layout and wake control},
author = {Gebraad, Pieter and Thomas, Jared J. and Ning, Andrew and Fleming, Paul and Dykes, Katherine},
abstractNote = {This paper presents a wind plant modeling and optimization tool that enables the maximization of wind plant annual energy production (AEP) using yaw-based wake steering control and layout changes. The tool is an extension of a wake engineering model describing the steady-state effects of yaw on wake velocity profiles and power productions of wind turbines in a wind plant. To make predictions of a wind plant's AEP, necessary extensions of the original wake model include coupling it with a detailed rotor model and a control policy for turbine blade pitch and rotor speed. This enables the prediction of power production with wake effects throughout a range of wind speeds. We use the tool to perform an example optimization study on a wind plant based on the Princess Amalia Wind Park. In this case study, combined optimization of layout and wake steering control increases AEP by 5%. The power gains from wake steering control are highest for region 1.5 inflow wind speeds, and they continue to be present to some extent for the above-rated inflow wind speeds. The results show that layout optimization and wake steering are complementary because significant AEP improvements can be achieved with wake steering in a wind plant layout that is already optimized to reduce wake losses.},
doi = {10.1002/we.1993},
journal = {Wind Energy},
issn = {1095-4244},
number = 1,
volume = 20,
place = {United States},
year = {2016},
month = {5}
}