Wind power cost assessment at twenty locations in the kingdom of Saudi Arabia

Rehman, Shafiqur; Halawani, T.O.; Mohandes, M.

doi:10.1016/s0960-1481(02)00063-0

Cited by 133 publications

(61 citation statements)

References 6 publications

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“…Availability of skilled manpower is required to install, maintain, coordinate, and monitor the operation of the wind power plants [75]. If the people are capable in the region, it will be very useful.…”

Section: Skilled Manpower Availability (Tf2)mentioning

confidence: 99%

The Selection of Wind Power Project Location in the Southeastern Corridor of Pakistan: A Factor Analysis, AHP, and Fuzzy-TOPSIS Application

et al. 2018

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Pakistan has sufficient wind energy potential across various locations of the country. However, so far, wind energy development has not attained sufficient momentum matching its potential. Amongst various other challenges, the site selection for wind power development has always been a primary concern of the decision-makers. Principally, wind project site selection decisions are driven by various multifaceted criteria. As such, in this study, a robust research framework comprising of factor analysis (FA) of techno-economic and socio-political factors, and a hybrid analytical hierarchy process (AHP) and fuzzy technique for order of preference by similarity to ideal solution (FTOPSIS) have been used for the prioritization of sites in the southeastern region of Pakistan. The results of this study reveal economic and land acquisition as the most significant criteria and sub-criteria, respectively. From the eight different sites considered, Jamshoro has been prioritized as the most suitable location for wind project development followed by Hyderabad, Nooriabad, Gharo, Keti Bandar, Shahbandar, Sajawal, and Talhar. This study provides a comprehensive decision support framework comprising of FA and a hybrid AHP and Fuzzy TOPSIS for the systematic analysis to prioritize suitable sites for the wind project development in Pakistan.

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Section: Skilled Manpower Availability (Tf2)mentioning

confidence: 99%

The Selection of Wind Power Project Location in the Southeastern Corridor of Pakistan: A Factor Analysis, AHP, and Fuzzy-TOPSIS Application

et al. 2018

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“…Rehman et al [12] perform a cost assessment of 20 sites determine the most cost efficient site. 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.…”

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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“…Al Khobar city in Saudi Arabia is chosen as sample site for experimental and theoretical investigation the VAWT for low wind speed regions [2]. The majority of sites fulfilling these requirements are situated along the two coastlines, for example, Yanbu in the West and Juaymah and Dammam/Al Khobar/Dhahran in the East [3].…”

Section: Introductionmentioning

confidence: 99%

Study of a Vertical Axis Wind Turbine for Low Speed Regions in Saudi Arabia

Nader¹,

Jendoubi²

2018

Proceedings of the 5th International Conference of Fluid Flow, Heat and Mass Transfer (FFHMT'18)

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-There are number of sources for generation of power but in the recent years wind energy shown its potential as the clean source of energy and contributing to the high-energy demands of the world. Vertical axis wind turbine (VAWT) is the best option for the area, which are under load sheading. Thus, in this paper, VAWT blades for low average wind speed regions like Al Khobar in Saudi arabia is designed and implemented. Performance and power produced are investigated and utilized in the design and the economic analysis. An experimental and theoretical review on the performance of Savonius VAWT is presented. The turbine was made of Aluminium alloy with a blade angle of 160 degree and maximum coefficient of power, Cp, of 0.286. The results of this current study showed that the power output, with speed of minimum speed of 12-15 m/s generate 40-80 watts with an efficiency of 31~35%.

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Wind power cost assessment at twenty locations in the kingdom of Saudi Arabia

Cited by 133 publications

References 6 publications

The Selection of Wind Power Project Location in the Southeastern Corridor of Pakistan: A Factor Analysis, AHP, and Fuzzy-TOPSIS Application

The Selection of Wind Power Project Location in the Southeastern Corridor of Pakistan: A Factor Analysis, AHP, and Fuzzy-TOPSIS Application

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

Study of a Vertical Axis Wind Turbine for Low Speed Regions in Saudi Arabia

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