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

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

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Authors:: DuPont, Bryony; Cagan, Jonathan; Moriarty, Patrick

Publication Date:: 2016-07-01

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

OSTI Identifier:: 1323954

Grant/Contract Number:: AC36-08GO28308

Resource Type:: Publisher's Accepted Manuscript

Journal Name:: Energy (Oxford)

Additional Journal Information:: Journal Name: Energy (Oxford) Journal Volume: 106 Journal Issue: C; Journal ID: ISSN 0360-5442

Publisher:: Elsevier

Country of Publication:: United Kingdom

Language:: English

Citation Formats


                    DuPont, Bryony, Cagan, Jonathan, and Moriarty, Patrick. An advanced modeling system for optimization of wind farm layout and wind turbine sizing using a multi-level extended pattern search algorithm.  United Kingdom: N. p., 2016. 
        Web.  doi:10.1016/j.energy.2015.12.033.

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                    DuPont, Bryony, Cagan, Jonathan, & Moriarty, Patrick. An advanced modeling system for optimization of wind farm layout and wind turbine sizing using a multi-level extended pattern search algorithm.  United Kingdom.  doi:10.1016/j.energy.2015.12.033.

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                    DuPont, Bryony, Cagan, Jonathan, and Moriarty, Patrick. Fri .  
        "An advanced modeling system for optimization of wind farm layout and wind turbine sizing using a multi-level extended pattern search algorithm".  United Kingdom.  doi:10.1016/j.energy.2015.12.033.

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@article{osti_1323954,

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

  author       = {DuPont, Bryony and Cagan, Jonathan and Moriarty, Patrick},

  abstractNote = {},

  doi          = {10.1016/j.energy.2015.12.033},

  journal      = {Energy (Oxford)},

  number       = C,

  volume       = 106,

  place        = {United Kingdom},

  year         = {2016},

  month        = {7}

}

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DOI: 10.1016/j.energy.2015.12.033

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