Evaluation of wind energy potential for different regions in Lebanon based on NASA wind speed database

Kassem, Youssef; Çamur, Hüseyin; Abdalla, M A H A; Erdem, B D; Alani, Amir M.

doi:10.1088/1755-1315/926/1/012093

Cited by 6 publications

(2 citation statements)

References 7 publications

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“…The results of the study show that wind speeds vary from 3,695 m per second to 4.457 m per second at 10 m height. It recommended that small-scale wind turbines are used to generate electricity in selected areas, based on the results of this study [16].…”

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confidence: 92%

Assessment of small-scale wind turbines for domestic use in different situations

Albast,

Yıldıran

2024

International Journal of Energy Studies

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This study focuses on the potential of wind energy systems installed at residential premises in particular locations from three different countries that are climatically diverse and economically viable for achieving self-sufficient electricity production. The three selected locations were Lebanon, Turkey, and Germany. At each location different simulations were tested using HOMER Pro software starting from wind turbines to combining them with grid that could aid in case of shortage of electricity generated by the turbine and adding batteries for energy storage. The most cost-efficient configuration was determined by simulation and optimization. The outcomes showed that the whole system had been successfully implemented and it fulfilled its purpose of providing electricity for the average household with an LCOE of $0.07334/kWh, -$0.01705/kWh, and $0.2044/kWh at each of Oldenburg, Foça and Hamat respectively. The wind turbine yearly total production was the maximum in Germany with 10,657 kWh, Turkey came second not far from Germany with 10,223 kWh while Lebanon had the lowest production with 7,527 kWh. Lebanon’s NPC of the system was most expensive with $22,381.13 while Turkey had the least expensive one with $-14,200.34 and Germany in between with $13,638.7 for the system. Economically, some systems were meant to witness failure due to the high rates of inflation in some of the countries. This finding suggests that not only climate potential could affect the success and failure of system, but other parameters could also have huge effect on whether it is feasible or not to implement such systems.

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confidence: 92%

Assessment of small-scale wind turbines for domestic use in different situations

Albast,

Yıldıran

2024

International Journal of Energy Studies

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“…One of the most important economic benefits of wind energy is that it mitigates the exposure of countries' economies to fuel price volatility. Besides, a remarkable advantage is that it eliminates transmission losses due to its capacity to generate energy near load centers (1).…”

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confidence: 99%

Wind Estimate by a Mesoscale Model

Gomes

Krusche

2019

DDF

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Wind is an energy source that has been used for a long time to reach many goals, but has recently become very important in electricity generation. In Rio Grande, a city located in Rio Grande do Sul state, in the extreme south of Brazil, wind forecast is important due to several weather phenomena of different time and space scales that act in the region. They make wind energy be one of the most difficult energy sources to be forecasted, since small variations of wind estimates may result in large differences in energy that is effectively generated. This study aimed at evaluating the performance of a mesoscale model to simulate wind intensity and estimating electricity production by aerogenerators, with and without nudging. This method enabled simulations to be carried out for a long time, with no spin-up time. The period of study is from June 9th to 14th, 2017, with two horizontal grids nested, of 3 and1 km. Results showed that the model is more accurate when nudging rather than spin-up is used. Nevertheless, the model still leads to errors in power forecast, by comparison with the wind power measured at the aerogenerator.

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Regional frequency analysis of extreme wind in Pakistan using robust estimation methods

Ahmad,

Salman,

Almanjahie

et al. 2024

Sci Rep

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The quantile estimates of extreme wind speed are needed for various areas of interest using regional frequency analysis (RFA) and extreme value theory. These calculations are crucial for the coding of wind speed. The data was taken from the NASA official website at a 10-meter distance and measured in meters per second (m/s). RFA of annual maximum wind speed (AMWS) using L-moments is performed utilizing annual maximum wind speed data from sixteen sites (16) in Pakistan’s Khyber Pakhtunkhwa province. There are no sites that are found to be discordant. The wards method is used to construct a homogenous region and make two homogenous regions from 16 sites. The heterogeneity test justifies that both clusters are homogeneous. The most appropriate probability distribution from the Generalized Normal (GNO), Generalized Logistic (GLO), Pearson Type-3 (P3), Generalized Pareto (GPA), and Generalized Extreme Value (GEV) distributions is chosen to calculate regional quantiles. According to the L-moments diagram and Z statistics, the GEV for Cluster- Ι and GLO for Cluster- ΙΙ are the best suggestions from the others. Both clusters’ robustness is measured utilizing relative bias (RB) and relative root mean square error (RRMSE). Overall, GEV distribution is fit for cluster-Ι, and the GLO distribution is fit for cluster-ΙΙ. Utilizing the site mean and median as index parameters, we can also find at-site quantiles from regional quantiles. The study’s quantile estimates can be employed in codified structural designs with policy consequences.

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Evaluation of wind energy potential for different regions in Lebanon based on NASA wind speed database

Cited by 6 publications

References 7 publications

Assessment of small-scale wind turbines for domestic use in different situations

Assessment of small-scale wind turbines for domestic use in different situations

Wind Estimate by a Mesoscale Model

Regional frequency analysis of extreme wind in Pakistan using robust estimation methods

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