Application of Remote Rensing in Wind Power Plant Location

Today, the attention to energy security, the increase in the need for electrical energy and the need to create new power plants, especially the power plants that use renewable energy, has increased significantly both in Asia and globally. Wind power is expected to make the largest contribution to global decarburization, ranking first or second in terms of projected capacity by 2050. This type of power plant directly uses natural energy as fuel. And as a result, climate change affects the efficiency of these power plants. Two parameters of the natural phenomenon of wind, which include wind speed and direction, are the main factors of wind power plant efficiency. The science of remote sensing is the process of identifying and monitoring the physical characteristics of a remote area by means of satellites. Google Earth Engine is an artificial intelligence to use this knowledge. Google Earth Engine combines a multi-petabyte catalog of satellite imagery and geospatial datasets with planetary-scale analysis capabilities. Google Earth Engine provides us with these parameters. In this article, by collecting and then analyzing these data, we try to choose suitable candidate locationsfor the establishment of these two types of power plants, and based on priority, we provide a list for the establishment of solar and wind power plants

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Publication Details

Journal
Journal of Green Energy Research and Innovation.
Published
2025-03-01
DOI
https://doi.org/10.61186/jgeri.2.1.57
Citations
1
Primary Topic
Power Systems and Renewable Energy
Type
article
Field-Weighted Citation Impact
0.53
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article

Application of Remote Rensing in Wind Power Plant Location

Mohammad Farahani, Ali Farahani, Saeed Sharafi
1 citations
Journal of Green Energy Research and Innovation.
Power Systems and Renewable Energy
0.53
article

Application of Remote Rensing in Wind Power Plant Location

Mohammad Farahani, Ali Farahani, Saeed Sharafi
article en
1 citations

Abstract

Today, the attention to energy security, the increase in the need for electrical energy and the need to create new power plants, especially the power plants that use renewable energy, has increased significantly both in Asia and globally. Wind power is expected to make the largest contribution to global decarburization, ranking first or second in terms of projected capacity by 2050. This type of power plant directly uses natural energy as fuel. And as a result, climate change affects the efficiency of these power plants. Two parameters of the natural phenomenon of wind, which include wind speed and direction, are the main factors of wind power plant efficiency. The science of remote sensing is the process of identifying and monitoring the physical characteristics of a remote area by means of satellites. Google Earth Engine is an artificial intelligence to use this knowledge. Google Earth Engine combines a multi-petabyte catalog of satellite imagery and geospatial datasets with planetary-scale analysis capabilities. Google Earth Engine provides us with these parameters. In this article, by collecting and then analyzing these data, we try to choose suitable candidate locationsfor the establishment of these two types of power plants, and based on priority, we provide a list for the establishment of solar and wind power plants

Journal of Green Energy Research and Innovation.Vol. 2(1)
Arak University (IR)
Affordable and clean energy
Openalex Percentile: Top 31%
Power Systems and Renewable Energy
0.53
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Application of Remote Rensing in Wind Power Plant Location — Mohammad Farahani, Ali Farahani, et al. · Journal of Green Energy Research and Innovation. (2025) | TGRS Research Map | TGRS