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DOI: 10.1371/journal.pone.0124830
论文题名:
Wind Power Error Estimation in Resource Assessments
作者: Osvaldo Rodríguez; Jesús A. del Río; Oscar A. Jaramillo; Manuel Martínez
刊名: PLOS ONE
ISSN: 1932-6203
出版年: 2015
发表日期: 2015-5-22
卷: 10, 期:5
语种: 英语
英文关键词: Wind power ; Wind ; Polynomials ; Curve fitting ; Interpolation ; Measurement equipment ; Alternative energy ; Research validity
英文摘要: Estimating the power output is one of the elements that determine the techno-economic feasibility of a renewable project. At present, there is a need to develop reliable methods that achieve this goal, thereby contributing to wind power penetration. In this study, we propose a method for wind power error estimation based on the wind speed measurement error, probability density function, and wind turbine power curves. This method uses the actual wind speed data without prior statistical treatment based on 28 wind turbine power curves, which were fitted by Lagrange's method, to calculate the estimate wind power output and the corresponding error propagation. We found that wind speed percentage errors of 10% were propagated into the power output estimates, thereby yielding an error of 5%. The proposed error propagation complements the traditional power resource assessments. The wind power estimation error also allows us to estimate intervals for the power production leveled cost or the investment time return. The implementation of this method increases the reliability of techno-economic resource assessment studies.
URL: http://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0124830&type=printable
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/22264
Appears in Collections:过去全球变化的重建
影响、适应和脆弱性
科学计划与规划
气候变化与战略
全球变化的国际研究计划
气候减缓与适应
气候变化事实与影响

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作者单位: Posgrado en Ingeniería, Universidad Nacional Autónoma de México, Temixco, Morelos, México;Centro de Ciencias de la Complejidad, Universidad Nacional Autónoma de México, Coyoacán, Ciudad de México, México;Centro de Ciencias de la Complejidad, Universidad Nacional Autónoma de México, Coyoacán, Ciudad de México, México;Instituto de Energías Renovables, Universidad Nacional Autónoma de México, Temixco, Morelos, México;Instituto de Energías Renovables, Universidad Nacional Autónoma de México, Temixco, Morelos, México;Instituto de Energías Renovables, Universidad Nacional Autónoma de México, Temixco, Morelos, México

Recommended Citation:
Osvaldo Rodríguez,Jesús A. del Río,Oscar A. Jaramillo,et al. Wind Power Error Estimation in Resource Assessments[J]. PLOS ONE,2015-01-01,10(5)
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