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Journal ArticleDOI

Capacity factor of wind turbines

K.A. Abed, +1 more
- 01 May 1997 - 
- Vol. 22, Iss: 5, pp 487-491
TLDR
In this article, the capacity factor of a wind turbine is estimated for shape factors between 1.5 and 3 and for sites with average wind speeds ranging from 4 to 8 m/s.
About
This article is published in Energy.The article was published on 1997-05-01. It has received 46 citations till now. The article focuses on the topics: Availability factor & Wind power.

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Citations
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Journal ArticleDOI

A review of wind speed probability distributions used in wind energy analysis: Case studies in the Canary Islands

TL;DR: In this paper, a review of the use of the probability density function (PDF) of wind speed is carried out for a wide collection of models, and the methods that have been used to estimate the parameters on which these models depend are reviewed and the degree of complexity of the estimation is analyzed in function of the model selected.
Journal ArticleDOI

Renewable energy sources: Their global potential for the first-half of the 21st century at a global level: An integrated approach

TL;DR: In this paper, the potential for wind, solar-PV and biomass (WSB) technologies to deliver energy is investigated in the context of the IPCC SRES scenarios as simulated with the IMAGE 2.2 model.
Journal ArticleDOI

Assessment of the global and regional geographical, technical and economic potential of onshore wind energy

TL;DR: In this paper, the regional and global geographical, technical and economic potential of onshore wind energy is assessed using a grid cell approach, and the regional cost-supply curves of wind electricity are presented.
Journal ArticleDOI

Building mounted wind turbines and their suitability for the urban scale—A review of methods of estimating urban wind resource

TL;DR: In this paper, a review is presented of academic literature regarding urban wind speeds for building mounted wind turbines, and scaling factors may prove to be a practical solution, provided the accuracy of their use is well understood.
Journal ArticleDOI

GIS-based approach for the evaluation of wind energy potential: A case study for the Kujawsko–Pomorskie Voivodeship

TL;DR: In this paper, the authors developed an approach to support the decision-making process connected with the site selection for wind energy projects using a geographical information system, and investigated available locations for wind farm sites according to defined criteria reflecting the spatial and ecological policy and regulations.
References
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Journal ArticleDOI

Some Aspects of Wind Power Statistics

TL;DR: In this article, the exact relationship between the mean wind speed and the mean of the cube of the wind speed is discussed, and it is concluded that the mean and standard deviation of wind speed are the minimum statistics necessary for wind power estimates, and that the existing wind power studies based solely on the total mean wind power density omit much valuable information about the wind power.
Journal ArticleDOI

Variance Analysis of Wind Characteristics for Energy Conversion

TL;DR: In this article, a temporal study of variance sources that leads to the evaluation of equivalent independent hours was performed to determine duration of survey requirements for stated confidence levels and desired accuracy, and the results showed significant correlation in the wind at a single site for a period of 8-12 h and between sites for similar time lags and separations up to 100 km or more.
Book

Siting Handbook for Small Wind Energy Conversion Systems

TL;DR: In this article, a siting guide for individuals wishing to install small wind energy conversion systems (WECS) is presented, that is, machines having a rated capacity of less than 100 kilowatts.
Journal ArticleDOI

Measurement strategies for estimating long-term average wind speeds

TL;DR: In this paper, the uncertainty and bias in estimates of long-term average wind speeds inherent in continuous and intermittent measurement strategies are examined by simulating the application of the strategies to 40 data sets.
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