Preliminary Assessment of Remote Wind Sites

Bilal, Muhammad; Araya, Guillermo; Birkelund, Yngve

doi:10.1016/j.egypro.2015.07.481

Cited by 5 publications

(3 citation statements)

References 2 publications

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“…The deployment of wind measurement stations in remote and complex terrains presents challenges associated with the high costs and maintenance concerns and most of these sites do not have a wind resource map [19]. Therefore, there is an opportunity to the development of systems that can deliver accurate wind data extrapolation and prediction without requiring permanent station or other equipment installations on such complex sites.…”

Section: Introductionmentioning

confidence: 99%

A computer vision approach for satellite-driven wind nowcasting over complex terrains

Alves,

Mendonça,

Mostafa

et al. 2024

Environ. Res. Commun.

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Accurate wind speed and direction nowcasting in regions with complex terrains remains a challenge, and critical for applications like aviation. This study proposes a new methodology by harnessing Convolutional Neural Networks and Long Short-Term Memory models with satellite imagery to address wind predictions in a complex terrain, centered on Madeira International Airport, Portugal, using satellite data as input. Results demonstrated adeptness in capturing wind transitions, pinpointing shifts up to two hours ahead, with errors of 1.74 m/s and 30.98º for wind speed and direction, respectively. Highlighting its aptitude in capturing the intricate atmospheric dynamics of such areas, the study reinforces the viability of computer vision for remote sites where conventional monitoring is either inefficient or expensive. With the widespread availability of satellite imagery and extensive satellite coverage, this method presents a scalable approach for worldwide applications.

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Section: Introductionmentioning

confidence: 99%

A computer vision approach for satellite-driven wind nowcasting over complex terrains

Alves,

Mendonça,

Mostafa

et al. 2024

Environ. Res. Commun.

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“…To improve the socio-economic growth of a country, sustainable and energy-efficient delivery of energy to end-users is vital. Several countries plan to transform their energy infrastructure to reflect natural resource availability while ensuring grid stability [1,2]. At present, most of the world's energy is generated by fossil fuel-based power plants, which negatively impact the environment [3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Design and Performance Analysis of a Grid-Connected Distributed Wind Turbine

et al. 2023

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The utilization of wind energy has become increasingly popular in the United States and many European countries due to its abundant nature and optimized design. While existing wind turbines are predominantly large-scale and not suitable for standalone or distributed power production, Lubbock County in West Texas offers a diverse range of renewable energy options to meet its energy needs. The region relies heavily on utility-scale wind energy sources to supply power to the Texas Grid, replacing conventional fossil fuel-based systems. Currently, standalone solar PV systems are the preferred choice for renewable energy generation. However, West Texas possesses an ample supply of wind energy that can be harnessed to establish a microgrid and provide standalone power to rural communities. Distributed wind energy offers localized power generation, reducing transmission losses and grid strain, while conventional wind farms require long-distance transmission, leading to efficiency gains. By employing the latest technology and optimizing efficiency, even in low-scale generation, a 6-kilowatt permanent magnet alternator-based distributed wind turbine has been designed. This paper focuses on analyzing the techno-economic aspects of implementing this wind turbine in a real-world scenario, taking into account wind attributes, such as velocity and available power, at the specific location.

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“…Wind resource maps are geographic infor-mation system (GIS) applications that are used in wind power development for supporting the auxiliary data exploration and for conducting comprehensive resource assessment. The selection of the sites for the construction of the wind farms without considering the use of wind resource map, generally lacks credibility in terms of available wind resources [7] . Wind resource map plays a major role in assessing and depicting the available wind resources that assists in the siting, development and in the successful operation of the wind farms.…”

Section: Introductionmentioning

confidence: 99%

A comprehensive wind resource estimation and economic analysis for Rakiraki, Fiji

Kishore

Kumar

Tausinga

et al. 2020

Resour Environ Econ

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The wind resource assessment for three locations in Rakiraki, Fiji are carried out. The wind resources at Rokavukavu and Navolau has been analyzed along with the nearby Tuvavatu site. The annual diurnal wind speed, wind shear and turbulence intensity were analyzed. Rokavukavu, Navolau and Tuvavatu site has an average wind speed of 5.91 m/s, 8.94 m/s and 8.13 m/s respectively at 55 m above ground level (a.g.l). The wind direction for all the three sites is predominantly SouthEast. The diurnal wind speed pattern and the wind shear pattern for all the three sites were consistently similar. The turbulence intensity at Rokavukavu, Navolau and Tuvavatu were found to be 14.9%, 17.1% and 11.7% at 55 m a.g.l. The Weibull parameters and the wind power density were obtained for all the three sites by using the moment fitting method. A high resolution wind resource map for the three sites were obtained using Wind Atlas Analysis and Application Program (WAsP). The WAsP analysis indicates good wind potential at Navolau and Tuvavatu site for power production. The annual energy production (AEP) with six Vergnet 275 kW wind turbines for Navolau and Tuvavatu site is estimated and an economic analysis is performed, which exhibited a payback period of 5 and 6 years respectively.

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Preliminary Assessment of Remote Wind Sites

Cited by 5 publications

References 2 publications

A computer vision approach for satellite-driven wind nowcasting over complex terrains

A computer vision approach for satellite-driven wind nowcasting over complex terrains

Design and Performance Analysis of a Grid-Connected Distributed Wind Turbine

A comprehensive wind resource estimation and economic analysis for Rakiraki, Fiji

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