A comparative study to analyze wind potential of different wind corridors

Ali, Baqir; Abbas, Ghulam; Memon, Ahsanullah; Mirsaeidi, Sohrab; Koondhar, Mohsin Ali; Chandio, Saadullah; Channa, Irfan Ali

doi:10.1016/j.egyr.2022.12.048

Cited by 23 publications

(5 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Wind velocity distribution is commonly described using the Weibull function with two parameters, a widely recognised standard method for assessing local wind probabilities. It has shown accurate fitting with wind data from worldwide regions [12][13]. Studies have consistently highlighted the Weibull distribution's superior fitting capabilities to wind speed data and its comparatively simple mathematical expression compared to other distribution families [14].…”

Section: Modelling the Wind's Velocitymentioning

confidence: 96%

Evaluation of Wind Energy Utilisation and Analysis of Turbines in the Fes Meknes Region, Kingdom of Morocco

El Kihel,

El Kadri Elyamani,

Chillali

2023

E3S Web of Conf.

View full text Add to dashboard Cite

This article explores the feasibility of using wind energy to generate electricity in four sites distributed across different geographical provinces of the Kingdom of Morocco (Fes, El Hajeb, Ifrane, Taounate). The objective is to provide accurate scientific information to facilitate decision-making regarding optimal investments in wind technology for electricity production. The data used in this study are sourced from the Windographer software database, which catalogues locations in Morocco. It includes average wind speeds measured per hour at a height of 10 meters for 43 years, extrapolated to different sizes. The sites are selected based on their wind potential for various energy applications. The wind turbine is suitable for the viable site in terms of grid integration and is determined based on the estimation of their capacity factor. One of the study's key findings reveals that the studied sites have limited wind resources and are not viable for grid integration, except for the province of Fes. This information could serve as a basis for developing a renewable energy policy to expand wind energy in Morocco.

show abstract

Section: Modelling the Wind's Velocitymentioning

confidence: 96%

Evaluation of Wind Energy Utilisation and Analysis of Turbines in the Fes Meknes Region, Kingdom of Morocco

El Kihel,

El Kadri Elyamani,

Chillali

2023

E3S Web of Conf.

View full text Add to dashboard Cite

show abstract

“…The region lies in the low rainfall range, receiving less than 600 mm of rainfall annually (Manzoor et al, 2020). According to limited and relevant studies, such as those by Khatri et al (2022) and Ali et al (2023), Tarnab lies in wind power class 2 with a wind speed of 0-5.4 m/s (or 0-212.59 inches/s) and mean values of wind speed less than 3.5 m/s (137.7 inches/s) at a height of 100 m (Saeed et al, 2021). However, there is quite a rich literature related to wind speed analysis for other parts of Pakistan (e.g., Adnan et al, 2021;Hulio, 2021;Khan et al, 2022;Ahmad et al, 2023) and many more, which will be discussed shortly in the next paragraph along with similar studies conducted in other parts of the world.…”

Section: Introductionmentioning

confidence: 99%

Investigation of Seasonal and Annual Wind Speed Distribution of Tarnab Based on Weibull and Rayleigh Distribution Models

Khan,

Shafi

2024

Idn. J. Earth Sci.

View full text Add to dashboard Cite

This study aims to statistically analyze wind speed data of Tarnab, Peshawar, for the period 2004-2023. The data was recorded at the Agriculture Research Institute, Tarnab, Peshawar. Two statistical models (two-parameter Weibull and Rayleigh distribution functions) were applied to find the distributions of wind speeds. For the estimation of shape and scale parameters of Weibull and Rayleigh, two methods were employed: the method of moments and the energy pattern factor. Three statistical tools (mean percentage error, mean absolute percentage error, and root mean square deviation) were applied to check the error percentage of both models. The results of the Weibull distribution were much closer to the observed data than those of the Rayleigh distribution. The average values of wind speeds tended to increase from winter to summer and vice versa. The highest recorded annual and seasonal wind speeds were 26.19 in/s and 41.57 in/s, respectively, while the lowest values were 7.11 in/s and 4.95 in/s, respectively. Thus, while ruling out the possibility of harnessing wind as a significant source of energy, the findings are still useful for the crops produced in the region.

show abstract

“…In the recent decade, DG has evolved as a cost-effective and environmentally sustainable alternative to conventional electric energy sources, and technological innovations are enabling DGs to be economically viable (Ackermann et al, 2001). The most interesting characteristic of DG is that it is scattered throughout the network, is nearby to customers, offers several different technologies, and provides massive energy (Ali et al, 2023). There are various resources about DG technology and integration.…”

Section: Introductionmentioning

confidence: 99%

Techno-economic optimal planning of an industrial microgrid considering integrated energy resources

et al. 2023

Self Cite

View full text Add to dashboard Cite

Microgrids have benefited energy systems by getting rid of the abundant use of traditional energy resources, replacing them with distributed generations (DGs). The use of DGs in microgrids not only provides clean and green energy but also reduces the gigantic losses in transmission and distribution lines. Widespread adoption of renewable energy in microgrids saves customers from high fuel prices and provides a sustainable replacement for future fossil fuel depletion. Microgrids have proven to be the latest and most advanced power systems due to their new capabilities to operate in both grid-connected and isolated modes. Microgrids use multiple energy sources simultaneously, which can offset the intermittent behavior of renewable energy sources. In this study, we planned and optimized an industrial microgrid with an annual increase in load, which contains dispatchable generation, non-dispatched generation, and energy storage. In addition, to test the different behavior of a microgrid operating independently or in grid-tied mode, four typical days were selected to show the load demand and solar and wind energy forecast data for the entire year. The power output curves for each typical day were analyzed for every year in both stand-alone and grid-connected modes. Furthermore, to validate the feasibility of the microgrid, the investment and operations costs were also calculated in the paper.

show abstract

A comparative study to analyze wind potential of different wind corridors

Cited by 23 publications

References 35 publications

Evaluation of Wind Energy Utilisation and Analysis of Turbines in the Fes Meknes Region, Kingdom of Morocco

Evaluation of Wind Energy Utilisation and Analysis of Turbines in the Fes Meknes Region, Kingdom of Morocco

Investigation of Seasonal and Annual Wind Speed Distribution of Tarnab Based on Weibull and Rayleigh Distribution Models

Techno-economic optimal planning of an industrial microgrid considering integrated energy resources

Contact Info

Product

Resources

About