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Title: Wind farm turbine type and placement optimization

Abstract

The layout of turbines in a wind farm is already a challenging nonlinear, nonconvex, nonlinearly constrained continuous global optimization problem. Here we begin to address the next generation of wind farm optimization problems by adding the complexity that there is more than one turbine type to choose from. The optimization becomes a nonlinear constrained mixed integer problem, which is a very difficult class of problems to solve. Furthermore, this document briefly summarizes the algorithm and code we have developed, the code validation steps we have performed, and the initial results for multi-turbine type and placement optimization (TTP_OPT) we have run.

Authors:
 [1];  [1];  [1];  [1];  [1];  [1];  [1]
  1. National Renewable Energy Lab. (NREL), Golden, CO (United States)
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:
1329458
Report Number(s):
NREL/JA-2C00-66903
Journal ID: ISSN 1742-6588
Grant/Contract Number:  
AC36-08GO28308
Resource Type:
Accepted Manuscript
Journal Name:
Journal of Physics. Conference Series
Additional Journal Information:
Journal Volume: 753; Journal ID: ISSN 1742-6588
Publisher:
IOP Publishing
Country of Publication:
United States
Language:
English
Subject:
17 WIND ENERGY; optimization; turbine placement

Citation Formats

Graf, Peter, Dykes, Katherine, Scott, George, Fields, Jason, Lunacek, Monte, Quick, Julian, and Rethore, Pierre -Elouan. Wind farm turbine type and placement optimization. United States: N. p., 2016. Web. doi:10.1088/1742-6596/753/6/062004.
Graf, Peter, Dykes, Katherine, Scott, George, Fields, Jason, Lunacek, Monte, Quick, Julian, & Rethore, Pierre -Elouan. Wind farm turbine type and placement optimization. United States. https://doi.org/10.1088/1742-6596/753/6/062004
Graf, Peter, Dykes, Katherine, Scott, George, Fields, Jason, Lunacek, Monte, Quick, Julian, and Rethore, Pierre -Elouan. Mon . "Wind farm turbine type and placement optimization". United States. https://doi.org/10.1088/1742-6596/753/6/062004. https://www.osti.gov/servlets/purl/1329458.
@article{osti_1329458,
title = {Wind farm turbine type and placement optimization},
author = {Graf, Peter and Dykes, Katherine and Scott, George and Fields, Jason and Lunacek, Monte and Quick, Julian and Rethore, Pierre -Elouan},
abstractNote = {The layout of turbines in a wind farm is already a challenging nonlinear, nonconvex, nonlinearly constrained continuous global optimization problem. Here we begin to address the next generation of wind farm optimization problems by adding the complexity that there is more than one turbine type to choose from. The optimization becomes a nonlinear constrained mixed integer problem, which is a very difficult class of problems to solve. Furthermore, this document briefly summarizes the algorithm and code we have developed, the code validation steps we have performed, and the initial results for multi-turbine type and placement optimization (TTP_OPT) we have run.},
doi = {10.1088/1742-6596/753/6/062004},
journal = {Journal of Physics. Conference Series},
number = ,
volume = 753,
place = {United States},
year = {Mon Oct 03 00:00:00 EDT 2016},
month = {Mon Oct 03 00:00:00 EDT 2016}
}

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Works referenced in this record:

A Review of Methodological Approaches for the Design and Optimization of Wind Farms
journal, October 2014

  • Herbert-Acero, José; Probst, Oliver; Réthoré, Pierre-Elouan
  • Energies, Vol. 7, Issue 11
  • DOI: 10.3390/en7116930

Works referencing / citing this record:

Optimization of turbine design in wind farms with multiple hub heights, using exact analytic gradients and structural constraints
journal, January 2019

  • Stanley, Andrew P. J.; Ning, Andrew; Dykes, Katherine
  • Wind Energy, Vol. 22, Issue 5
  • DOI: 10.1002/we.2310