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Can I read 06/01384 Computational analysis of performance and flow investigation on wells turbine for wave energy conversion: Dhanasekaran, T. S. and Govardhan, M. Renewable Energy, 2005, 30, (14), 2129–2147 on EtoBox?

06/01384 Computational analysis of performance and flow investigation on wells turbine for wave energy conversion: Dhanasekaran, T. S. and Govardhan, M. Renewable Energy, 2005, 30, (14), 2129–2147 is a Engineering article available to read on EtoBox.

What is 06/01384 Computational analysis of performance and flow investigation on wells turbine for wave energy conversion: Dhanasekaran, T. S. and Govardhan, M. Renewable Energy, 2005, 30, (14), 2129–2147 about?

The wind characteristics of six locations in the State of Kuwait have been assessed. The annual average wind speed for the considered sites ranged from 3.7 to 5.5 m/s and a mean wind power density from 80 to 167 W/m 2 at standard height of 10 m. The Weibull parameters and power density of each station have been determined using Weibull distribution. The wind data at heights 15, 20, 25 and 30 m were obtained by extrapolation of the 10 m data using the Power-Law. The potential wind energy at different heights was estimated using Weibull parameters. Maximum power density is found at 30 m height which varies between 130 and 275 W/m 2 with 70% increase from the standard height indicating fairly potential wind energy especially in the northern part of the country. The highest potential wind power was found during the summer season which is the peak demand season of electricity in Kuwait.

Who reads 06/01384 Computational analysis of performance and flow investigation on wells turbine for wave energy conversion: Dhanasekaran, T. S. and Govardhan, M. Renewable Energy, 2005, 30, (14), 2129–2147?

It is typically read by researchers, students, and practitioners in Engineering.

Publisher
Elsevier Science; Elsevier ; Elsevier BV (ISSN 0140-6701)
Published
2006
Language
EN
Field
Engineering (Physical Sciences)