Abstract
The surface roughness parameter is an important parameter in the installation of a wind energy power plant and it varies depending on the dimensions and the distribution of the roughness elements on the land. Before the installation roughness maps indicate roughness of the surface has to be drawn. In today's applications, these maps are drawn approximately by WAsP software using the information obtained from the terrestrial observations belongs to experts. But this application is costly and time consuming and the assessment is based on limited land observations. In this study the surface roughness parameter is determined by digital image processing techniques from the digital images taken over aerial field. Thus it gives the opportunity to consider whole power plant surface into account with lower cost and time requirements over the traditional methods. Images used in the study are obtained from the Map General Command and MATLAB software platform is used. The study is based on the determination of the closure rates on the land by image segmentation method such as OTSU algorithm, fuzzy c-means and k-means algorithms. In order to evaluate the consistency of the results images are evaluated with ERDAS software. Obtained results showed the effectiveness of the study.
Highlights
The energy defined as the ability to do business is the basic input for all kinds of production, especially in the industrial sector
Many countries in the world give priority to encouraging policies to increase the use of renewable energy sources and to develop energy production methods
These are the low cost of installation and operation of wind farms, the rest of the area can be used for agricultural activities and after the lifespan of the wind farms turbines can be reinstated to compete with other power plants
Summary
The energy defined as the ability to do business is the basic input for all kinds of production, especially in the industrial sector. Wind energy is more preferred than other renewable energy sources, and in addition to being abundant in nature, there are other advantages These are the low cost of installation and operation of wind farms, the rest of the area can be used for agricultural activities and after the lifespan of the wind farms turbines can be reinstated to compete with other power plants. Once the location of the wind farms has been established, the wind characteristics of the zone must be defined and solutions for energy production must be made For this purpose, various points that can represent the region should be determined and the necessary measurements should be made for at least one year. A method is presented to obtain the surface roughness parameter of the site where the wind power plant installation will be by using digital image processing techniques over aerial images to avoid the disadvantages of conventional methods. Tool for visualizing and manipulating geographic imaging data [6], and comparative results were given
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