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

Authors:
ORCiD logo ; ; ORCiD logo ;
Publication Date:
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.
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.
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.
@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}
}