An analysis of wind power potential in Port Said, Egypt

Lashin, Aref; Shata, A.S. Ahmed

doi:10.1016/j.rser.2012.08.012

Cited by 41 publications

(19 citation statements)

References 23 publications

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“…The specifications of wind measuring instruments and sensors of the wind monitoring station are given in Table I. The different observed wind speeds are fit to the existing wind speed distribution models such as the Weibull, the Rayleigh, and the Lognormal. Out of these three existing models, the two-parameter based on Weibull parameter distribution has been well accepted as best amongst the above mentioned three models due to the reason that this model can modify the parameters to suit a period of time (usually monthly/yearly) and it has been employed unanimously by researchers in wind energy analysis [14][15][16]. The two parameter Weibull distribution is used to describe wind speed variation if wind speed variation follows Weibull probability density function.…”

Section: Methodsmentioning

confidence: 99%

Estimation of Weibull parameters using graphical method for wind energy applications

Murthy

Rahi

2014

2014 Eighteenth National Power Systems Conference (NPSC)

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Wind power resources are abundant in India; as a result the wind power industry has entered a period of rapid growth, and has been facing new challenges currently. Wind power is environment friendly and renewable in nature. The wind is caused by an air in motion and is produced by the uneven heating of the earth's surface by the sun. The wind speed has been one of the most significant parameter in the design and investigation of wind energy conversion systems (WECS). The objective of the present research paper is to assess the feasibility of wind power generation for a new site in Himachal Pradesh using micro-turbines. The major contribution of this paper, envisages two parameters, i.e., shape and scale parameter based Weibull distribution model for investigating wind speed variations and Weibull parameters calculation by Least Squares Fit Method (LSM) also known as Linear regression model using graphical method. This research work shows that the hilly site of Hamirpur in Himachal Pradesh has good wind power potential and large magnitude of winds have been available for power generation during the months of March to June suitable for low wind power generation.

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Section: Methodsmentioning

confidence: 99%

Estimation of Weibull parameters using graphical method for wind energy applications

Murthy

Rahi

2014

2014 Eighteenth National Power Systems Conference (NPSC)

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“…The government is now planning to develop three more wind farms at different sites in Egypt [32]. As indicated earlier, all wind energy in Egypt is currently generated onshore, and the emphasis now is to scale up capacity from the current 1 GWe7.5 GW by 2027 [33], by going offshore where the wind resource is much higher.…”

Section: Energy Needs In Egyptmentioning

confidence: 99%

Multi criteria decision analysis for offshore wind energy potential in Egypt

2018

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a b s t r a c tOffshore wind energy is highlighted as one of the most important resource to exploit due to greater wind intensity and minimal visual impacts compared with onshore wind. Currently there is a lack of accurate assessment of offshore wind energy potential at global sites. A new methodology is proposed addressing this gap which has global applicability for offshore wind energy exploitation. It is based on Analytical Hierarchy Process and pairwise comparison methods linked to site spatial assessment in a geographical information system. The method is applied to Egypt, which currently plan to scale renewable energy capacity from 1 GW to 7.5 GW by 2020, likely to be through offshore wind. We introduce the applicability of the spatial analysis, based on multi-criteria decision analysis providing accurate estimates of the offshore wind from suitable locations in Egypt. Three high wind suitable areas around the Red Sea were identified with minimum restrictions that can produce around 33 GW of wind power. Suitability maps are also included in the paper providing a blueprint for the development of wind farms in these sites. The developed methodology is generalised and is applicable globally to produce offshore wind suitability map for appropriate offshore wind locations.

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“…The authors carried out the annual, monthly, seasonal analysis of wind speed data for realistic wind energy assessment. Lashin and Shata [15] analyzed wind speed data on seasonal, yearly, and monthly basis for energy generation at Port Said in Egypt. The wind energy flux method was used to calculate annual and monthly mean wind speed.…”

Section: Literature Reviewmentioning

confidence: 99%

Technical and economic assessment of wind power potential of Nooriabad, Pakistan

2017

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Background: Pakistan is a developing nation and heavily spends on the development of conventional power plants to meet the national energy demand. The objective of this paper is to investigate wind power potential of site using wind speed, wind direction, and other meteorological data collected over a period of 1 year. This type of detailed investigation provides information of wind characteristics of potential sites and helps in selecting suitable wind turbine. Methods: The site-specific air density, wind shear, wind power density, annual energy yield, and capacity factors have been calculated at 30 and 50 m above the ground level (AGL). The Weibull parameters have been calculated using empirical (EM), maximum likelihood (MLM), modified maximum likelihood (MMLM), energy pattern (EPFM), and graphical (GM) methods to determine the other dependent parameters. The accuracies of these methods are determined using correlation coefficient (R

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An analysis of wind power potential in Port Said, Egypt

Cited by 41 publications

References 23 publications

Estimation of Weibull parameters using graphical method for wind energy applications

Estimation of Weibull parameters using graphical method for wind energy applications

Multi criteria decision analysis for offshore wind energy potential in Egypt

Technical and economic assessment of wind power potential of Nooriabad, Pakistan

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