Assessment of Wind Power Potential Based on Raleigh Distribution Model: An Experimental Investigation for Coastal Zone

The purpose of this project was to develop an innovative, small-scale, and portable vertical axis wind turbine for power generation. The wind turbine was simple in design and economical. Wind speeds ranging from 2.0ms-1 to 7.0ms-1 were tested on the proposed wind turbine. The experiments revealed that the turbine required a minimum wind speed of 3.9ms-1 to operate. According to the results, the proposed turbine achieved its maximum power output of 5.6W at a rotational speed of 65rpm when the wind speed was 7.0m/s. Additionally, voltage and current increased proportionately with increasing wind speed. The proposed system showed an average coefficient factor between 0.10 and 0.12. This portable wind turbine potentially revolutionizes industry while raising public awareness about clean and renewable energy.

Section: Concept Of the Wind Turbinementioning

confidence: 99%

Investigation on the Performance of a Portable Power Generation System with a Low-Cost Vertical Axis Wind Turbine

Basar

Norazizi

Mustaffa

et al. 2021

“…In the field of selecting the best location of wind energy, according to the experts' opinion, wind speed is the most important criterion to consider when building a wind energy plant site. Authors in [17] applied the wind speed data at various heights through various probability distribution functions and got as a result that the Rayleigh distribution function is the best for finding site selection. Regions with higher wind speed generally have higher potentiality for wind farm installation.…”

Section: A) Wind Speedmentioning

confidence: 99%

Elaboration of a Wind Energy Potential Map in Morocco using GIS and Analytic Hierarchy Process

Elmahmoudi

Abra²,

Raihani

et al. 2020

The construction of a wind power generation center starts by the selection of a suitable wind farm location. The selection includes six factors, namely wind speed, slope, land use, distance from the power lines, distance from the roads, and distance from populated areas which have been integrated into QGIS by weights calculated using the Analytical Hierarchy Process (AHP) approach. As a result of this study, the areas having very high wind potentiality have been identified and a best wind farm location map has been prepared. The map, using the overlay function in GIS, exhibits the most and least suitable areas for the location of wind farms in Morocco. The approach could help identify suitable wind farm locations in other areas using their geographic information.

“…Wind energy is the process where wind uses its movement to generate mechanical energy. The research on the potential application of wind energy is quite diverse [1][2][3][4][5][6][7][8][9], but most researchers believe that the prospect of wind energy development is an inevitable future trend, as clean energy sources will gradually replace current fossil energy sources. This share is determined based on the countries' energy policies and the roadmap to reduce adverse environmental impact.…”

Section: Introductionmentioning

confidence: 99%

Control Design for the Ward–Leonard System in Wind Turbines

Bui¹

2023

A robust optimal controller for the Ward-Leonard system in a wind turbine is used to meet the performance and stability requirements when the system parameters change. However, designing according to the robust optimal method often leads to a high-order controller. This study investigated the application of order reduction algorithms to simplify the controller and help it better meet the real control problem. Comparative evaluation of the order reduction controller methods showed that the second-order reduction controller according to Moore's balanced truncation algorithm was the most suitable to replace the higher-order controller. The step response quality of the system was better when using a second-order reduction controller than a higher-order controller.