An advanced modeling system for optimization of wind farm layout and wind turbine sizing using a multi-level extended pattern search algorithm

DuPont, Bryony; Cagan, Jonathan; Moriarty, Patrick

doi:10.1016/j.energy.2015.12.033

Title: An advanced modeling system for optimization of wind farm layout and wind turbine sizing using a multi-level extended pattern search algorithm

Journal Article · Fri Jul 01 00:00:00 EDT 2016 · Energy

DOI:https://doi.org/10.1016/j.energy.2015.12.033· OSTI ID:1323954

DuPont, Bryony; Cagan, Jonathan; Moriarty, Patrick

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Sponsoring Organization:: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Wind and Water Technologies Office (EE-4W)

Grant/Contract Number:: AC36-08GO28308

OSTI ID:: 1323954

Journal Information:: Energy, Journal Name: Energy Vol. 106 Journal Issue: C; ISSN 0360-5442

Publisher:: ElsevierCopyright Statement

Country of Publication:: United Kingdom

Language:: English

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Cited by: 52 works

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References (23)

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Optimizing the arrangement and the selection of turbines for wind farms subject to varying wind conditions Chowdhury, Souma; Zhang, Jie; Messac, Achille Renewable Energy, Vol. 52 https://doi.org/10.1016/j.renene.2012.10.017	journal	April 2013
Design of wind farm layout for maximum wind energy capture Kusiak, Andrew; Song, Zhe Renewable Energy, Vol. 35, Issue 3, p. 685-694 https://doi.org/10.1016/j.renene.2009.08.019	journal	March 2010
New approach on optimization in placement of wind turbines within wind farm by genetic algorithms Emami, Alireza; Noghreh, Pirooz Renewable Energy, Vol. 35, Issue 7 https://doi.org/10.1016/j.renene.2009.11.026	journal	July 2010
Seeding evolutionary algorithms with heuristics for optimal wind turbines positioning in wind farms Saavedra-Moreno, B.; Salcedo-Sanz, S.; Paniagua-Tineo, A. Renewable Energy, Vol. 36, Issue 11 https://doi.org/10.1016/j.renene.2011.04.018	journal	November 2011
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