Wind power resource assessment for Rafha, Saudi Arabia

Rehman, Shafiqur; El-Amin, Ibrahim; Ahmad, Firoz; Shaahid, S.M.; Al-Shehri, A.; Bakhashwain, J.M.

doi:10.1016/j.rser.2005.07.003

Cited by 88 publications

(47 citation statements)

References 11 publications

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“…But the maximum efficiency obtained by contra rotors having the same area is increased to 64% [6]. Based on these studies, in order to increase the power efficiency of wind turbines on contra-rotating wind turbines (CRWT) that have two rotors rotating in opposite direction coaxially have been carried out [7][8][9][10][11][12][13][14][15]. These studies are based on the various wind turbine energy assessments and comparison of power output in CRWT with that of SRWT.…”

Section: Introductionmentioning

confidence: 99%

Computational Analysis of 30 Kw Contra Rotor Wind Turbine

Kumar

Bensingh

Abraham

2012

ISRN Renewable Energy

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The aim of this study is to optimize and analyze the characteristics of the upwind primary rotor and the downwind secondary rotor of the contra rotor wind turbine to increase the aerodynamic performance by using computational fluid dynamic (CFD). The main objective is to provide maximum energy that can be extracted by the primary and secondary rotor from the renewable resource of wind to increase the thrust power. For this purpose, two kinds of rotor configurations which are 3-bladed single and 3-bladed contra-rotating rotor were compared by using CFD. The results of the primary and secondary rotor are validated with measurements of the 30 KW Contra rotor wind turbine available on literature and plotted for power output. The optimum axial distance between the two rotors are investigated through CFD for increased performance. In addition, the increased thrust and torque for each rotor configuration are compared for aerodynamic feasibility.

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Section: Introductionmentioning

confidence: 99%

Computational Analysis of 30 Kw Contra Rotor Wind Turbine

Kumar

Bensingh

Abraham

2012

ISRN Renewable Energy

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“…The study reported that 6825 MWh of energy could be generated annually at a plant capacity factor of 25% using a wind turbine of 3 MW rated capacity. A detailed study on wind power resource assessment and design of wind farms and hybrid power system was presented by Rehman [31], as part of PhD dissertation in 2012 using wind measurements at 10 meters at 30 locations and 10, 20, 30, and 40 meters above ground level at seven stations over varying time periods. Rehman et al [32] utilized wind speed data measured at 20, 30, and 40 m above ground level from seven stations to study the wind characteristics and wind power assessment using Weibull distribution method.…”

Section: Saudi Arabia's Wind Power Research and Development Updatementioning

confidence: 99%

Horizontal Axis Wind Turbine Blade Design Methodologies for Efficiency Enhancement—A Review

et al. 2018

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Among renewable sources of energy, wind is the most widely used resource due to its commercial acceptance, low cost and ease of operation and maintenance, relatively much less time for its realization from concept till operation, creation of new jobs, and least adverse effect on the environment. The fast technological development in the wind industry and availability of multi megawatt sized horizontal axis wind turbines has further led the promotion of wind power utilization globally. It is a well-known fact that the wind speed increases with height and hence the energy output. However, one cannot go above a certain height due to structural and other issues. Hence other attempts need to be made to increase the efficiency of the wind turbines, maintaining the hub heights to acceptable and controllable limits. The efficiency of the wind turbines or the energy output can be increased by reducing the cut-in-speed and/or the rated-speed by modifying and redesigning the blades. The problem is tackled by identifying the optimization parameters such as annual energy yield, power coefficient, energy cost, blade mass, and blade design constraints such as physical, geometric, and aerodynamic. The present paper provides an overview of the commonly used models, techniques, tools and experimental approaches applied to increase the efficiency of the wind turbines. In the present review work, particular emphasis is made on approaches used to design wind turbine blades both experimental and numerical, methodologies used to study the performance of wind turbines both experimentally and analytically, active and passive techniques used to enhance the power output from wind turbines, reduction in cut-in-speed for improved wind turbine performance, and lastly the research and development work related to new and efficient materials for the wind turbines.

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“…Rehman and Ahmad [13] describe seasonal and diurnal variations of five sites, wind energy production for two hub heights and capacity factors for various turbine sizes. Rehman et al [14] focus on an area in the northeastern part of the country where there are villages not yet connected to the national grid. They study 600 kW, 1000 kW, and 1500 kW wind turbines from three manufacturers to determine which will perform best in that area.…”

Section: Wind Maps and Datamentioning

confidence: 99%

Wind resource assessment in the state of Arizona: Inventory, capacity factor, and cost

et al. 2007

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During the summer of 2003, the state of Arizona took delivery of a set of high-resolution wind energy maps that were developed with a meso-scale wind energy model coupled with wind data. The geographical information system data supplied with the wind maps was used to create a wind resource inventory that included wind energy potential, proximity to transmission lines, and land ownership. Four diverse sites were selected for further study, one predominantly class 3, one predominantly class 4, one predominantly class 5, and one predominantly class 6. At each site, the capacity factor was determined, the seasonal influence was observed, and the real levelized cost of energy in 2005 dollars determined. As the wind class varied from 6 to 3 the levelized cost of energy ranged from 4.22 to 6.00 cents per kWh. These results do not include the production tax credit or the renewable energy production incentive, do include adjustments for elevation, losses, and inflation, and are considered conservative. This paper documents the findings of the wind mapping process, describes the method and results of evaluating the most promising sites for wind development, and presents the cost of energy results.

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Wind power resource assessment for Rafha, Saudi Arabia

Cited by 88 publications

References 11 publications

Computational Analysis of 30 Kw Contra Rotor Wind Turbine

Computational Analysis of 30 Kw Contra Rotor Wind Turbine

Horizontal Axis Wind Turbine Blade Design Methodologies for Efficiency Enhancement—A Review

Wind resource assessment in the state of Arizona: Inventory, capacity factor, and cost

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