Energy assessment of the first wind farm section of Sidi Daoud, Tunisia

Amar, Fathi Ben; Elamouri, M.; Dhifaoui, Rachid

doi:10.1016/j.renene.2007.12.019

Cited by 52 publications

(11 citation statements)

References 5 publications

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“…2, with total of the 610 h, the wind turbine power is equal to 0.82 kWh year -1 . This potential for wind power generation is far below that found in favorable regions to that purpose (Ben Amar et al, 2008;Atlas, 2012). Furthermore, only the places where the turbines produce energy at least in 50% of the time are suitable for electric power generation (Goswami, 1986).…”

Section: Resultsmentioning

confidence: 90%

“…Therefore, a wind shear model proves to be necessary to extrapolate the observed wind resource from the available lower heights to the WT hub height (Gualtieri & Secci, 2014). Many recent studies make use of data from a single anemometer tower to characterize a particular region (Al-Nassar et al, 2005;Shata & Hanitsch, 2006;Ben Amar et al, 2008;Mostafaeipour et al, 2013). Given the above, the application of wind energy can be promising for the generation of the power required in the operation of pumps of which the water pumping for irrigation systems is not grid-connected.…”

Section: Introductionmentioning

confidence: 99%

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Potential for wind energy generation in Piracicaba, SP, Brazil

Grah¹,

Ponciano²,

Botrel³

2014

Rev. bras. eng. agríc. ambient.

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Wind power has gained space in Brazil's energy matrix, being a clean source and inexhaustible. Therefore, it becomes important to characterize the wind potential of a given location, for future applications. The main objective of the present study was to estimate the wind energy potential in Piracicaba, SP, Brazil. The wind speed data were collected by an anemometer installed at the Meteorological Station Luiz de Queiroz College of Agriculture, Piracicaba-SP. The wind speed variability was represented by the Weibull frequency distribution, a probability density function of two parameters (k and c). The parameters k and c were used to correlate the Gamma function with the annual average wind speed, the variance and power mean density. A wind profile was made to evaluate the behavior of historical average speeds at higher altitudes measured by anemometer, to estimate the gain in power density. The values of k for all heights were close to 1 which corresponds to a wind regime highly variable, and c values were also low representing a low average speed of the location. The location was characterized as being unfavorable for the application of wind turbines for power generation.

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Section: Resultsmentioning

confidence: 90%

Section: Introductionmentioning

confidence: 99%

Potential for wind energy generation in Piracicaba, SP, Brazil

Grah¹,

Ponciano²,

Botrel³

2014

Rev. bras. eng. agríc. ambient.

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“…It is located between altitude 30˚N and 37˚N latitude and between 8˚E and 12˚E longitude [4,[9][10][11]. Its littoral extends on 1300 km and comprises five large gulfs.…”

Section: Geographical Situation and Relief Of Tunisiamentioning

confidence: 99%

Wind Energy Conversion Systems Adapted to the Tunisian Sites

Amar¹,

Elamouri²

2013

SGRE

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The choice of a wind turbine for a given site is a very significant operation. It is advised to make an in-depth study on the characteristics of the aerogenerator and the implantation site before any installation of a wind farm for choosing well the system best adapted to the energy needs. The objective of this study is to sensitize the users of the wind energy on the various problems involved in the aerogenerator installation on any site and to provide a decision-making aid to the judicious choice of the wind system best adapted. The idea is to estimate, for a selected implantation site, the energy production and the operating time of several wind systems. We can thus select the aerogenerator best adapted by making a compromise between a maximum recovery of energy and a high time of production. The influence height of the aerogenerator on energy profitability is also studied. We apply this step to the twenty six Tunisian synoptic sites by implantation scenarios of seven wind systems of various nominal speeds in function of the height.

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“…In addition to these studies about low-power turbines, there are also other analyses focused on multi-megawatt wind turbines, as for instance references (Tryfonidou & Wagner, 2004;Douglas et al, 2008), both of which are focused on offshore wind turbines. On the other hand, there are indeed studies based on multi-megawatt wind turbines, but basically outside the LCA point of view, and focused exclusively on the potential of wind generation of certain areas or regions (Ben Amar et al, 2008;Carolin Mabel & Fernandez, 2008;Wichser & Klink, 2008). On the other hand, such as it has been previously mentioned, Life Cycle Assessment (LCA) methodology (ISO, 2006) is useful for analysing the environmental impact occasioned by any type of product or process; however, the results obtained with LCA present some uncertainties that have to be considered and assessed in an appropriate way.…”

Section: Fig 1 Evolution and Future Objectives For Wind Power Instamentioning

confidence: 99%