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Title: Gradient-Based Optimization of Wind Farms with Different Turbine Heights: Preprint

Abstract

Turbine wakes reduce power production in a wind farm. Current wind farms are generally built with turbines that are all the same height, but if wind farms included turbines with different tower heights, the cost of energy (COE) may be reduced. We used gradient-based optimization to demonstrate a method to optimize wind farms with varied hub heights. Our study includes a modified version of the FLORIS wake model that accommodates three-dimensional wakes integrated with a tower structural model. Our purpose was to design a process to minimize the COE of a wind farm through layout optimization and varying turbine hub heights. Results indicate that when a farm is optimized for layout and height with two separate height groups, COE can be lowered by as much as 5%-9%, compared to a similar layout and height optimization where all the towers are the same. The COE has the best improvement in farms with high turbine density and a low wind shear exponent.

Authors:
; ; ; ; ;
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Wind and Water Technologies Office (EE-4W)
OSTI Identifier:
1356795
Report Number(s):
NREL/CP-5000-67661
DOE Contract Number:  
AC36-08GO28308
Resource Type:
Conference
Resource Relation:
Conference: Presented at the American Institute of Aeronautics and Astronautics SciTech 2017, 16-20 January 2017, Dallas, Texas
Country of Publication:
United States
Language:
English
Subject:
17 WIND ENERGY; 42 ENGINEERING; systems engineering; wind plant layout optimization; gradient-based optimization; optimization; wind plant design

Citation Formats

Stanley, Andrew P. J., Thomas, Jared, Ning, Andrew, Annoni, Jennifer, Dykes, Katherine, and Fleming, Paul. Gradient-Based Optimization of Wind Farms with Different Turbine Heights: Preprint. United States: N. p., 2017. Web. doi:10.2514/6.2017-1619.
Stanley, Andrew P. J., Thomas, Jared, Ning, Andrew, Annoni, Jennifer, Dykes, Katherine, & Fleming, Paul. Gradient-Based Optimization of Wind Farms with Different Turbine Heights: Preprint. United States. doi:10.2514/6.2017-1619.
Stanley, Andrew P. J., Thomas, Jared, Ning, Andrew, Annoni, Jennifer, Dykes, Katherine, and Fleming, Paul. Mon . "Gradient-Based Optimization of Wind Farms with Different Turbine Heights: Preprint". United States. doi:10.2514/6.2017-1619. https://www.osti.gov/servlets/purl/1356795.
@article{osti_1356795,
title = {Gradient-Based Optimization of Wind Farms with Different Turbine Heights: Preprint},
author = {Stanley, Andrew P. J. and Thomas, Jared and Ning, Andrew and Annoni, Jennifer and Dykes, Katherine and Fleming, Paul},
abstractNote = {Turbine wakes reduce power production in a wind farm. Current wind farms are generally built with turbines that are all the same height, but if wind farms included turbines with different tower heights, the cost of energy (COE) may be reduced. We used gradient-based optimization to demonstrate a method to optimize wind farms with varied hub heights. Our study includes a modified version of the FLORIS wake model that accommodates three-dimensional wakes integrated with a tower structural model. Our purpose was to design a process to minimize the COE of a wind farm through layout optimization and varying turbine hub heights. Results indicate that when a farm is optimized for layout and height with two separate height groups, COE can be lowered by as much as 5%-9%, compared to a similar layout and height optimization where all the towers are the same. The COE has the best improvement in farms with high turbine density and a low wind shear exponent.},
doi = {10.2514/6.2017-1619},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2017},
month = {5}
}

Conference:
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