Document Type : Research article

Authors

1 Electrical Engineering Department, Arak University, Arak, Iran

2 e Environmental Systems Engineering Department, Arak University, Arak, Iran.

3 Environment Science and Engineering Department, Arak University, Arak, Iran

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 locations for 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.

Keywords