Optimal windy sites in Algeria: Potential and perspectives

Nedjari, Hafida Daaou; Haddouche, S.; Balehouane, A.; Guerri, Ouahiba

doi:10.1016/j.energy.2017.12.046

Cited by 52 publications

(26 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Boudia [6] improved the temporal evaluation of wind deposits and thus contributed to updating the wind map in Algeria (update of the wind atlas for 10 meters above the ground and development of the wind potentials in the eastern zone of the desert and the western zone of the highlands. Nedjari et al [7] updated the wind map with the addition of 74 new locations in Algeria eligible for wind projects.…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Wind Resources in Saharan Atlas of Algeria: Adrar Region as a Case Study

Benmedjahed

Maouedj

Mouhadjer

et al. 2021

IJEE

View full text Add to dashboard Cite

Section: Introductionmentioning

confidence: 99%

Analysis of the Wind Resources in Saharan Atlas of Algeria: Adrar Region as a Case Study

Benmedjahed

Maouedj

Mouhadjer

et al. 2021

IJEE

View full text Add to dashboard Cite

“…1). This site is the most convenient place for wind farm installation because it is the windiest zone in Algeria with the annual average wind speed of about 6.3 m/s [5,6].…”

Section: Introductionmentioning

confidence: 99%

Numerical modal analysis of a 850 KW wind turbine steel tower

Ferroudji

2021

IRASE

View full text Add to dashboard Cite

The study deals with the numerical analysis aspects that are necessary for identifying of modal parameters of the tower structure as the most important part of the horizontal axis wind turbine, which are basic for the dynamic response analysis. In the present study, the modal behavior of an actual 55-m-high steel tower of 850 KW wind turbine (GAMESA G52/850 model) is investigated by using three-dimensional (3D) Finite Element (FE) method. The model was used to identify natural frequencies, their corresponding mode shapes and mass participation ratios, and the suggestions to avoid resonance for tower structure under the action wind. The results indicate that there is a very good agreement with the fundamental vibration theory of Euler-Bernoulli beam with lamped masse in bending vibration modes. When the rotor of the wind turbine runs at the speed of less than or equal to 25.9 rpm it will not have resonant problems (stiff–stiff tower design). Furthermore, in case the rotor runs at the speed of between 25.9 and 30.8 rpm, the adequate controller is necessary in order to avoid the corresponding resonant susceptible area of the tower structure (soft–stiff tower design).

show abstract

“…Subsequently, several works followed on the update of the wind map in Algeria, [13][14][15] where the most recent work due to Daaou Nedjari, Haddouche. 4 The authors presented an updated annual and seasonal wind maps at 10 m and 80 m using 74 stations where hourly wind speeds data were considered. Furthermore, the study focused on the identification of optimal sites using multicriteria analysis based on the GIS method.…”

Section: Introductionmentioning

confidence: 99%

“…In recent years, as an alternative solution, several global reanalysis datasets with high spatial and temporal resolution have been used to compensate the lack of direct observations. [21][22][23] Indeed, taking the case of Algeria, the most recent work used mast data from 74 stations for wind resource assessment, 4 which is insufficient for a country with an area of 2.3 million km 2 and known for its diversified topographic, geographical and climatological properties.…”

Section: Introductionmentioning

confidence: 99%

On the wind resource in Algeria: Probability distributions evaluation

Ounis

Aries

2020

Proceedings of the Institution of Mechanical Engineers, Part A:

View full text Add to dashboard Cite

The present study aims to present a contribution to the wind resource assessment in Algeria using ERA-Interim reanalysis. Firstly, the ERA-Interim reanalysis 10 m wind speed data are considered for the elaboration of the mean annual 10 m wind speed map for a period starting from 01-01-2000 to 31-12-2017. Moreover, the present study intends to highlight the importance of the descriptive statistics other than the mean in wind resource assessment. On the other hand, this study aims also to select the proper probability distribution for the wind resource assessment in Algeria. Therefore, nine probability distributions were considered, namely: Weibull, Gamma, Inverse Gaussian, Log Normal, Gumbel, Generalized Extreme Value (GEV), Nakagami, Generalized Logistic and Pearson III. Furthermore, in combination with the distribution, three parameter estimation methods were considered, namely, Method of Moment, Maximum Likelihood Method and L-Moment Method. The study showed that Algeria has several wind behaviours due to the diversified topographic, geographic and climatic properties. Moreover, the annual mean 10 m wind speed map showed that the wind speed varies from 2.3 to 5.3 m/s, where 73% of the wind speeds are above 3 m/s. The map also showed that the Algerian Sahara is windiest region, while, the northern fringe envelopes the lowest wind speeds. In addition, it has been shown that the study of the mean wind speeds for the evaluation of the wind potential alone is not enough, and other descriptive statistics must be considered. On the other hand, among the nine considered distribution, it appears that the GEV is the most appropriate probability distribution. Whereas, the Weibull distribution showed its performance only in regions with high wind speeds, which, implies that this probability distribution should not be generalized in the study of the wind speed in Algeria.

show abstract

Optimal windy sites in Algeria: Potential and perspectives

Cited by 52 publications

References 31 publications

Analysis of the Wind Resources in Saharan Atlas of Algeria: Adrar Region as a Case Study

Analysis of the Wind Resources in Saharan Atlas of Algeria: Adrar Region as a Case Study

Numerical modal analysis of a 850 KW wind turbine steel tower

On the wind resource in Algeria: Probability distributions evaluation

Contact Info

Product

Resources

About