Modeling noise and lease soft costs improves wind farm design and cost-of-energy predictions

doi:10.1016/j.renene.2016.05.045

Title: Modeling noise and lease soft costs improves wind farm design and cost-of-energy predictions

Article Details
Other Related Research

Authors:

; Harding, Chris ; ; MacDonald, Erin

Publication Date:: 2016-11-01

Grant/Contract Number:: DEAC02- 07CH11358

Type:: Publisher's Accepted Manuscript

Journal Name:: Renewable Energy

Additional Journal Information:: Journal Volume: 97; Journal Issue: C; Related Information: CHORUS Timestamp: 2018-09-10 22:25:01; Journal ID: ISSN 0960-1481

Publisher:: Elsevier

Sponsoring Org:: USDOE

Country of Publication:: United Kingdom

Language:: English

OSTI Identifier:: 1323953


                    Chen, Le, Harding, Chris, Sharma, Anupam, and MacDonald, Erin. Modeling noise and lease soft costs improves wind farm design and cost-of-energy predictions.  United Kingdom: N. p.,  
        Web.  doi:10.1016/j.renene.2016.05.045.

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                    Chen, Le, Harding, Chris, Sharma, Anupam, & MacDonald, Erin. Modeling noise and lease soft costs improves wind farm design and cost-of-energy predictions.  United Kingdom.  doi:10.1016/j.renene.2016.05.045.

Copy to clipboard


                    Chen, Le, Harding, Chris, Sharma, Anupam, and MacDonald, Erin. 2016.  
        "Modeling noise and lease soft costs improves wind farm design and cost-of-energy predictions".  United Kingdom.  
        doi:10.1016/j.renene.2016.05.045.

Copy to clipboard


                    
@article{osti_1323953,

  title        = {Modeling noise and lease soft costs improves wind farm design and cost-of-energy predictions},

  author       = {Chen, Le and Harding, Chris and Sharma, Anupam and MacDonald, Erin},

  abstractNote = {},

  doi          = {10.1016/j.renene.2016.05.045},

  journal      = {Renewable Energy},

  number       = C,

  volume       = 97,

  place        = {United Kingdom},

  year         = {2016},

  month        = {11}

}

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10.1016/j.renene.2016.05.045
https://doi.org/10.1016/j.renene.2016.05.045

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