Analysis Of Wind Data Research Articles

Performance evaluation of Weibull function for wind data analysis in two selected locations in North-Western, Nigeria

In this study, the predictive ability of two-parameter Weibull distribution function in analyzing wind speed data was assessed in two selected sites with different mean wind speeds in the North-Western region of Nigeria. Twenty-two years wind speed data spanning from 1984 to 2005 was used in the analysis. The data were obtained from the Nigerian Meteorological Agency (NIMET) in Lagos. The results of the analysis show that Weibull function is suitable for analyzing measured wind speed data and in predicting the wind-power density in both locations and that Weibull function is not discriminative between locations with high and low mean wind speeds in analyzing wind data. The annual mean wind speeds for the two sites (Sokoto and Yelwa) are 7.99 ms-1 and 2.59 ms-1 respectively, while the annual values of the most probable wind speed and the maximum, energy-carrying wind speeds are respectively:3.52 and 4.34 ms-1 for Yelwa and 8.33 and 9.02 ms-1 for Sokoto. The estimated annual wind power densities for Yelwa and Sokoto are respectively 36.91 and 359.96 Wm-2. Therefore, Sokoto has a better prospect for wind power generation.

Onshore and offshore wind energy potential assessment near Lake Erie shoreline: A spatial and temporal analysis

Choosing a proper location is a pivotal initial step in building a wind farm. As appropriate locations for onshore wind farms become more and more scarce, offshore wind farms have drawn significant attention. The coastal line of the Great Lakes is an area that has great wind energy potential. This research conducted detailed statistical analysis of the onshore, nearshore, and offshore wind energy potential of Lake Erie near Cleveland, Ohio. It analyzed the wind data collected in 10-min time intervals from three locations near the Lake Erie shoreline to assess wind characteristics. Statistical analyses of wind data include the Weibull shape and scale factors, turbulence intensity, and wind power density. In addition, the capacity factor and the potential energy output are estimated by using two commercial wind turbines, which are appropriate for the sites at 50 m and 80 m hub heights. The results show that offshore sites will produce at least 1.7 times more energy than the onshore and nearshore sites when using the same commercial wind turbine. Furthermore, offshore wind turbines could produce more power during peak hours in the spring and winter. This indicates that offshore wind turbines offer advantages over onshore wind turbines in Lake Erie.

Homogeneity analysis of wind data from 213 m high Cabauw tower

ABSTRACTHomogeneous meteorological data are a prerequisite for reliable climatological studies. This paper investigates the homogeneity of wind data from 213 m high Cabauw tower located in The Netherlands. The wind measurements are conducted at 10, 20, 40, 80, 140 and 200 m above ground. The analysed data cover the period from February 1986 to January 1997 and from April 2000 to December 2015. This study presents the first homogeneity analysis of wind data from a tall meteorological mast. Homogeneities of wind speed and wind direction series were investigated independently using the ReDistribution Method. Overall, the wind measurements at Cabauw tower are very homogeneous. The only wind speed inhomogeneity was detected at 200 m above ground and it seems to be, at least to a certain extent, caused by the rapid expansion of the town of Lopik in the 1990s. Lopik's growth to the west, however, only influenced the east winds on the Cabauw tower. Small inhomogeneities in wind direction data were detected at 20, 40 and 80 m levels, whereas a fairly large inhomogeneity was observed at 10 m above ground. Several potential causes of inhomogeneities in wind direction data are discussed, but the major contributor could not be determined with certainty. In addition, the homogeneity of real measurements from Cabauw tower is compared against the synthetically created wind data for Cabauw tower using the Monte‐Carlo method of random sampling. The results show that the detected anomalies are not due to the random noise in the time series.

Observed Solar Cycle Variation of the Stratospheric QBO Generated in the Mesosphere and Amplified by Upward Propagating Waves

With an analysis of zonal wind observations over 40 years, Salby and Callaghan [1] showed that the Quasi-biennial Oscillation (QBO) at 20 km is modulated by 11-year solar cycle (SC) variations from about 12 to 20 m/s (Figure 2). The observations are reproduced qualitatively in a study with the 3D Numerical Spectral Model, which shows that the SC effect of the stratospheric QBO is produced by dynamical downward coupling originating in the mesosphere. In this modeling study, the SC period is taken to be 10 years, and a realistic heat source is applied varying exponentially with altitude: 0.2%, surface; 2%, 50 km; 20%, 100 km and above. The numerical results show that the variable solar radiation in the mesosphere around 65 km generates a hemispheric symmetric Equatorial Annual Oscillation (EAO), which is modulated by relatively large SC variations. Under the influence of wave mean flow interactions, the EAO propagates into the lower atmosphere and is the dynamical source or pacemaker for the large SC modulation of the QBO. The numerical results show that the upward propagating small-scale gravity waves from the troposphere amplify the SC modulations of the QBO and EAO in the stratosphere, part of the SC mechanism. The zonal winds of the equatorial QBO and EAO produce through the meridional circulation measurable SC variations in the temperature of the stratosphere and troposphere at high latitudes. Analysis of NCEP temperature and zonal wind data (1958 to 2006) provides observational evidence of the EAO with SC variations around 11 years.

Freshening of Antarctic Intermediate Water in the South Atlantic Ocean in 2005–2014

Abstract. Basin-scale freshening of Antarctic Intermediate Water (AAIW) is reported to have occurred in the South Atlantic Ocean during the period from 2005 to 2014, as shown by the gridded monthly means of the Array for Real-time Geostrophic Oceanography (Argo) data. This phenomenon was also revealed by two repeated transects along a section at 30° S, performed during the World Ocean Circulation Experiment Hydrographic Program. Freshening of the AAIW was compensated for by a salinity increase of thermocline water, indicating a hydrological cycle intensification. This was supported by the precipitation-minus-evaporation change in the Southern Hemisphere from 2000 to 2014. Freshwater input from atmosphere to ocean surface increased in the subpolar high-precipitation region and vice versa in the subtropical high-evaporation region. Against the background of hydrological cycle changes, a decrease in the transport of Agulhas Leakage (AL), which was revealed by the simulated velocity field, was proposed to be a contributor to the associated freshening of AAIW. Further calculation showed that such a decrease could account for approximately 53 % of the observed freshening (mean salinity reduction of about 0.012 over the AAIW layer). The estimated variability of AL was inferred from a weakening of wind stress over the South Indian Ocean since the beginning of the 2000s, which would facilitate freshwater input from the source region. The mechanical analysis of wind data here was qualitative, but it is contended that this study would be helpful to validate and test predictably coupled sea–air model simulations.

The most intense electrical currents in the solar wind: Comparisons between single‐spacecraft measurements and plasma turbulence simulations

AbstractThree‐dimensional hybrid simulations of solar wind turbulence near the orbit of the Earth are used to investigate the plasma current density over the range of scales from 0.5 proton inertial lengths to hundreds of proton inertial lengths. The data are analyzed along a simulated spacecraft trajectory in order to directly compare the results against single‐spacecraft measurements. The most intense current densities are identified using an amplitude threshold technique and the properties of 5σ events identified in the true current density are compared to the properties of 5σ events identified using a proxy for the current density designed for studies of single‐spacecraft solar wind measurements. The proxy is proportional to the magnitude of the directional derivative of the magnetic field along the spacecraft trajectory. The results from the simulation show that the average properties of 5σ events observed in the proxy are quantitatively similar to those observed in the true current density, properties such as the spatial size of the events, the nearest neighbor distance, and the peak current density of the events. This provides some justification for the use of the proxy for the statistical analysis of solar wind data even though the simulation indicates that the occurrence times of large‐amplitude events in the proxy are not always a reliable indicator of the occurrence times of large‐amplitude events in the true current density. The physical properties of 5σ events in simulated spacecraft data show remarkable quantitative agreement with the properties of 5σ events observed in solar wind data.

Optimal day-ahead wind-thermal unit commitment considering statistical and predicted features of wind speeds

The increasing penetration of intermittent wind power affects the secure operation of power systems and leads to a requirement of robust and economic generation scheduling. This paper presents an optimal day–ahead wind–thermal generation scheduling method that considers the statistical and predicted features of wind speeds. In this method, the statistical analysis of historical wind data, which represents the local wind regime, is first implemented. Then, according to the statistical results and the predicted wind power, the spinning reserve requirements for the scheduling period are calculated. Based on the calculated spinning reserve requirements, the wind–thermal generation scheduling is finally conducted. To validate the program, a verified study is performed on a test system. Then, numerical studies to demonstrate the effectiveness of the proposed method are conducted.

The impacts of wind and solar on grid flexibility requirements in the Electric Reliability Council of Texas

The installation of wind and solar capacity in the electric grid can influence net load ramp rates and volatility, affecting grid stability and operating costs. In this study, the statistical analysis of load, wind, and solar data from the Electric Reliability Council of Texas (ERCOT) shows how wind and solar capacity impacts these grid flexibility requirements. Growing wind capacity shows only minor correlation with increasing flexibility requirements, and appears to correlate with decreasing flexibility requirements in some instances. Growing solar capacity might initially improve grid flexibility requirements, particularly volatility. However, beyond a certain penetration level (about 1.0 GW in this study), further solar capacity growth develops a direct correlation with increasing flexibility requirements if load patterns do not change. While adding 15.7 GW of wind power had insignificant effects, adding 14.5 GW of solar to the ERCOT grid increases maximum 1-h ramp rates by 135%, 3-h ramp rates by 30%, ramp factors by 140%, 1-h volatility by 100%, and 1-day volatility by 30%. The geographic location and orientation of solar arrays influences these flexibility requirements, with fixed, southeast-facing panels providing a significant reduction. These results can inform strategies for managing the grid flexibility requirements created by growing renewable capacity.

An Study on Securing the Stability of Road Sign through Analysis of wind data according to types of measurement

최근 안전에 대한 관심이 크게 높아지고 있으며, 도로 교통 분야에서도 안전의 필요성이 대두되고 있다. 이에 따라 도로 교통 분야의 안전성 제고를 위하여 도로 시설물의 객관적인 안정성 평가가 필요하며, 자연재해 대비를 목적으로 도로 시설물의 피해 저감이 가능한 기술 적용이 필요하다. 따라서 본 연구에서는 계측 유형별 풍속 데이터와 이를 적용한 도로표 지의 구조 안전성을 비교 분석하여 기상 계측 유형의 시설물 안전성 평가에 대한 영향을 분석하였다. 더불어 도로표지의 안정성 확보 방안을 도출하였으며, 도출한 안정성 확보 방안 중 풍하중 저감 기술에 대한 효과를 분석하였다. 계측 유형별 풍속 데이터 분석 결과, 기상관측차량시스템의 풍속 데이터는 기상청과 도로기상정보시스템의 풍속 데이터에 비하여 약 2.43 배로 크게 나타났다. 또한 기상관측차량시스템의 풍속 데이터를 적용한 도로표지의 안정성 검토를 통하여 돌풍으로 인한 도로표지의 파괴 및 전도의 가능성이 있는 것으로 분석되며, 안정성 확보 방안 마련이 필요한 것으로 판단된다. 도로 선형 단위의 기상 데이터를 활용하여 도로 시설물의 객관적인 안정성 분석과 모니터링이 가능할 것으로 판단되며, 풍하중 저감 기술 적용을 통하여 도로 안전도의 제고가 기대된다.

Comparison of the seasonal evolution of the South Asian high associated with two types of El Niño event

AbstractEl Nino (EN) episodes can be classified based on their time of onset as spring onset EN (SPEN) events and summer onset EN (SUEN) events. To evaluate the different influences of SPEN and SUEN events on the South Asian high (SAH), this study compared the seasonal evolution of the SAH (SESAH) associated with SPEN and SUEN events through analysis of geopotential height and zonal wind data derived from NCEP–NCAR Reanalysis-1 and sea surface temperature data obtained from the Hadley Center. The main features of the SESAH during an EN event are similar to its climatological characteristics. Climatologically, the SAH forms in May, strengthens, and moves northwestward in June and July. It does not change much in August, but then it returns south and weakens during September and October. However, its lifespan is shorter and its intensity weaker during EN periods. Furthermore, there are significant differences between the SESAH during SPEN and SUEN events. During a SPEN episode, the movement of the SAH to th...

Variability of CO2 fugacity at the western edge of the tropical Atlantic Ocean from the 8°N to 38°W PIRATA buoy

Hourly data of CO2 fugacity (fCO2) at 8°N–38°W were analyzed from 2008 to 2011. Analyses of wind, rainfall, temperature and salinity data from the buoy indicated two distinct seasonal periods. The first period (January to July) had a mean fCO2 of 378.9μatm (n=7512). During this period, in which the study area was characterized by small salinity variations, the fCO2 is mainly controlled by sea surface temperature (SST) variations (fCO2=24.4*SST-281.1, r2=0.8). During the second period (August–December), the mean fCO2 was 421.9μatm (n=11571). During these months, the region is subjected to the simultaneous action of (a) rainfall induced by the presence of the Intertropical Convergence Zone (ITCZ); (b) arrival of fresh water from the Amazon River plume that is transported to the east by the North Equatorial Countercurrent (NECC) after the retroflection of the North Brazil Current (NBC); and (c) vertical input of CO2-rich water due to Ekman pumping. The data indicated the existence of high-frequency fCO2 variability (periods less than 24h). This high variability is related to two different mechanisms. In the first mechanism, fCO2 increases are associated to rapid increases in SST and are attributed to the diurnal cycle of solar radiation. In addition, low wind speed contributes to SST rising by inhibiting vertical mixing. In the second mechanism, fCO2 decreases are associated to SSS decreases caused by heavy rainfall.

Numerical simulation of typhoon-induced storm surge along Jiangsu coast, Part II: Calculation of storm surge

The Jiangsu coastal area is located in central-eastern China and is well known for complicated dynamics with large-scale radial sand ridge systems. It is therefore a challenge to simulate typhoon-induced storm surges in this area. In this study, a two-dimensional astronomical tide and storm surge coupling model was established to simulate three typical types of typhoons in the area. The Holland parameter model was used to simulate the wind field and wind pressure of the typhoon and the Japanese 55-year reanalysis data were added as the background wind field. The offshore boundary information was provided by an improved Northwest Pacific Ocean Tide Model. Typhoon-induced storm surges along the Jiangsu coast were calculated based on analysis of wind data from 1949 to 2013 and the spatial distribution of the maximum storm surge levels with different types of typhoons, providing references for the design of sea dikes and planning for control of coastal disasters.

Effects of Terrain-Induced Turbulence on Wind Turbine Blade Fatigue Loads

Recently, the issue has surfaced that the availability factors for wind farms built on complex terrain are lower than the originally projected values. In other words, problems have occurred such as extreme decreases in generation output, failures of components inside and outside wind turbines including yaw motors and yaw gears, and cracking on wind turbine blades. As one of the causes of such issues, the effects of wind turbulence (terrain-induced turbulence) have been pointed out. In this study, we investigated the effects of terrain-induced turbulence on the structural strength of wind turbines through the measurement of strains in wind turbine blades and the analysis of wind data in order to establish a method for optimal wind turbine deployment that uses numerically simulated wind data and takes the structural strength of wind turbines into consideration. The investigation was conducted on Wind Turbine #10 of the Kushikino Reimei Wind Farm (in operation since Nov. 2012) in cooperation with Kyudenko New Energy Co., Ltd. Subsequently, we conducted numerical wind simulations (diagnoses of terrain-induced turbulence) to study the effects of the properties of airflow on the structural strength of wind turbines. For these simulations, the natural terrain version of the RIAM-COMPACT software package, which is based on large eddy simulation (LES), was used. The numerical simulations successfully reproduced the characteristics of the wind conditions and the structure of the three-dimensional airflow. These results enabled us to determine the threshold value for a turbulence index to be used for optimal wind turbine deployment planning that utilizes quantitative data from simulations with the natural terrain version of the RIAM-COMPACT software package.

Use of spherical elementary currents to map the polar current systems associated with the geomagnetic sudden commencements on 2013 and 2015 St. Patrick's Day storms

AbstractAraki's model of geomagnetic sudden commencements (SCs) establishes that the ground magnetic signatures globally observed after the onset produced by an increased solar wind dynamic pressure impacting on the Earth's magnetosphere are caused by the setting up of a system of electric currents in the coupled magnetosphere‐ionosphere. This current system consists of a particular evolving set of magnetopause currents closing in the ionosphere through geomagnetic field‐aligned currents (FACs) and their induced counterpart. The present paper confirms the starting assumptions of the referred model by use of spherical elementary current systems (SECS), namely, the existence of FACs reversing polarity during the first couple of minutes of the SC. It is the first time that SECS have been applied to the study of SCs. The method has been fed with data from more than 100 stations of the global network of geomagnetic observatories and variometer sites in the northern hemisphere so as to provide a reliable pattern of the equivalent current system flowing at ionospheric heights on the occasion of the SCs associated with the 2013 and 2015 St. Patrick's Day storms. The combined analysis of solar wind data and the synoptic view of the SC current patterns provided by SECS allows it to explain some of the differences observed between both events.

Analysis and Verification of Wind Data from Ground-based LiDAR

A study on the verification of reliability of measurements by the LiDAR (Light Detection and Ranging) system was conducted in Kimnyeong, on Jeju Island, South Korea. Also, the accuracy of the LiDAR measurements taken from the relatively flat-terrained Kimnyeong site was determined after factoring in the wind disturbance caused by the wake behind wind turbines. The 2.5-month wind data collected by the LiDAR were compared with concurrent wind data collected by the conventional anemometry on a nearby 120 m-high met mast for the verification. The measurement sectors (the area around the wind turbine where undisturbed wind speeds were measured) and the disturbed sectors (the areas around the wind turbine prone to wind disturbance) were estimated in accordance with the International Electrotechnical commission, IEC 61400-12-1. Data filtering was performed based on the criteria suggested by previous research. As a result, at 116 m above ground level, comparatively high LiDAR error rates of 0.50∼12.69 % were found in the disturbed sector, while relatively low LiDAR error rates of -0.93∼4.26 % were shown in the measurement sector. In the measurement sector, the absolute values of LiDAR error rates were about 5 % with the standard deviations of about 5 % at the heights of 100 and 116 m above ground level. The power law exponents calculated by using the met mast and the LiDAR data collected from the measurement sector were very similar to each other, whereas met mast and LiDAR data collected from the disturbed sector showed major discrepancies.

Satellite-Based Offshore Wind Resource Assessment in the Mediterranean Sea

Identification of prominent sea areas for the efficient exploitation of offshore wind energy potential requires primarily the assessment and modeling of several aspects of the long-term wind climate. In this work, the offshore wind speed and wind direction climate of the Mediterranean Sea is analytically described, the corresponding offshore wind energy potential is estimated on an annual and seasonal basis, and candidate areas for potential offshore wind farm development are identified. The analysis is based on ocean surface wind fields obtained from the Blended Sea Winds product, provided by the U.S. National Oceanic and Atmospheric Administration (NOAA), from 1995 to 2014. The satellite data are evaluated with reference to buoy wind measurements in the Spanish and Greek Seas. Wind data analysis reveals areas in the western and eastern Mediterranean Sea with high mean annual wind speed combined with rather low temporal variability. The obtained results suggest that offshore wind power potential in the Mediterranean Sea is fairly exploitable at specific suitable locations, such as the Gulf of Lions (with mean annual wind power density up to $\sim $ 1600 W/m ${}^{2}$ ) and the Aegean Sea (with mean annual wind power density up to $\sim $ 1150 W/m ${}^{2}$ ), that are certainly worth further in-depth assessment for exploiting offshore wind energy. Finally, based on the available offshore wind resource potential and the water depth suitability, three specific sites (in the Gulf of Valencia and the Adriatic and Ionian Seas) are selected and the average wind power output for a specific wind turbine type is estimated.

An Economic Analysis on the Viability of Harnessing Wind Energy for Power Generation in Kaduna State, Nigeria

This paper presents an economic analysis on the viability of harnessing wind power for power generation in Kaduna State, based on wind data analysis of Kaduna and Zaria. The available wind power density of both Kaduna and Zaria of 246.69 W/m² and 296.76 W/m² respectively shows that Kaduna and Zaria can harness wind power for power generation at utility scale. How economical this would be in the long run is what this paper seeks to analyse. The one-time cost of planting a 300MW capacity wind turbines in either Kaduna or Zaria was found to be $716,680,000, which does not include the annual variable costs of $17,927,750.2. With the assumption that capital would be loaned from a bank at 7% interest to pay back in 30 years, the annual capital payment is estimated to be $57,754,663.67. Considering capacity factor, line losses, and a total annual costs of $90,121,079.79, the average cost of electricity per kWh was estimated as $0.0909.

Determination of sand dune characteristics through geomorphometry and wind data analysis in central Iran (Kashan Erg)

The combination of wind measurements and remotely sensed geomorphometry indices provides a valuable resource in the study of desert landforms, because arduous desert environments are difficult to access. In this research, we couple wind data and geomorphometry to separate and classify different sand dunes in Kashan Erg in central Iran. Additionally, the effect of sand-fixing projects on sand dune morphology was assessed using geomorphometry indices (roughness, curvature, surface area, dune spacing and dune height). Results showed that a Digital Elevation Model of the National Cartographic Center of Iran (NCC DEM) with 10-m resolution and accuracy of 54% could discriminate geomorphometry parameters better than the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data with 30-m resolution and Shuttle Radar Topography Mission (SRTM) data with 90-m resolution and 45.2 and 1.6% accuracy, respectively. Low classification of SRTM DEM was associated with too many non-value points found in the DEM. Accuracy assessment of comparison ground control points revealed that ASTER DEM (RMSE = 4.25) has higher accuracy than SRTM and NCC DEMs in this region. Study of curvature showed that transverse and linear sand dunes were formed in concave topography rather than convex. Reduced slopes in fixed sand dunes were established due to wind erosion control projects. Measurements of dune height and spacing show that there is significant correlation in compound dunes (R 2 = 0.546), linear dunes (R 2 = 0.228) and fixed dunes (R 2 = 0.129). In general, the height of dunes in Kashan Erg increases from the margin of the field to the center of the field with a maximum height of 120 m in star dunes. Analysis of wind data showed that sand drift potential is in low-medium class in Kashan Erg. Linear sand dunes in Kashan Erg show that they are following a global trend in forming of these. Finally, established of geomorphometry method in dune classification will help researchers to identify priority of land management and performance assessment of sand dunes fixing projects in arid arduous environment.

Structure and Dynamics of the Quasi-Biennial Oscillation in MERRA-2.

The structure, dynamics, and ozone signal of the Quasi-Biennial Oscillation produced by the 35-year NASA MERRA-2 (Modern-Era Retrospective Analysis for Research and Applications) reanalysis are examined based on monthly mean output. Along with the analysis of the QBO in assimilation winds and ozone, the QBO forcings created by assimilated observations, dynamics, parameterized gravity wave drag, and ozone chemistry parameterization are examined and compared with the original MERRA system. Results show that the MERRA-2 reanalysis produces a realistic QBO in the zonal winds, mean meridional circulation, and ozone over the 1980-2015 time period. In particular, the MERRA-2 zonal winds show improved representation of the QBO 50 hPa westerly phase amplitude at Singapore when compared to MERRA. The use of limb ozone observations creates improved vertical structure and realistic downward propagation of the ozone QBO signal during times when the MLS ozone limb observations are available (October 2004 to present). The increased equatorial GWD in MERRA-2 has reduced the zonal wind data analysis contribution compared to MERRA so that the QBO mean meridional circulation can be expected to be more physically forced and therefore more physically consistent. This can be important for applications in which MERRA-2 winds are used to drive transport experiments.

Wind Energy Resources Estimation and Assessment For AL-Maqrun Town - Libya

Fossil fuels (Natural gas, heavy and light oil) are considered the main sources of electricity generation in Libya. Libya’s electricity demand is growing at a rapid rate and the country will require significant additional capacity in the coming years due to the development of all sectors of life and the improvement of individuals’ life quality, without taking into account the rationalization of electricity consumption. The main reason for this is that Libya has a very high energy subsidy, especially the tariff set by the Libyan state for the price per kilowatt-hour for the electricity sector. The heavily subsidized electricity price for households currently stands at (20 dirham’s/kilowatt-hour) compared to (100 dirham’s/kilowatt-hour), as the domestic price of fuel cost, and in return (450 dirham’s/kilowatt-hour) as the electricity cost of fuel in international prices. In order to reduce the deficit and the ongoing balancingin energy demand with the amount of generation of available capacity, it is necessary to study all electrical systems for the future, the most important of which are wind energy and solar energy projects to meet a significant part of this demand and to reduce, as much as possible, the carbon dioxide emissions. This paper deals with the wind data processing at the site coupled with the city and its relationship to electricity generation. It presents long-term wind data analysis, in terms of averages of ten-minute values of wind speed were used to get yearly mean values for a period of 1 year, between 04/11/2002 and 30/12/2003. The most frequent winddirections are NW, N, NNW, and WNW. They represent about 50%, followed by E, ESE, and SE. In general, East and SE winds are relatively frequent but weak at the same time. The most powerful directions are NW, WNW, W, and NNW which by far - represent about 46% of the expected power, followed by N. It should be noted that the high frequency of north direction winds that come from the desert can cause a high frequency of dust episodes. The fact should be taken into consideration in order to take appropriate measures to prevent wind turbine deterioration. The annual energy yield and wind direction were evaluated for AL-Magrun town, considering wind turbines ranging between 1.65 MW and 2 MW (power curve considering air density 1.225 kg/m3). The wind turbine (Gamesa 90/2000) recorded the highest values, equaling (6.05GWh,3023Eqh) and (M. Torres TWT 1.65-82 ) equaling (4.39GWh, 2660 Eqh) compared to the rest of the turbines studied. Those values encouraged us to take advantage of wind power to achieve economic benefits.