Journal of Green Energy Research and Innovation
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Application of Remote Rensing in Wind Power Plant Location

Document Type : Research article

Authors

Mostafa Davodabadi Farahani 1
Saeed Sharafi 2
Ali Farahani 3

1 Department of Environmental Systems Engineering, Faculty of Agriculture and Environment, Arak University, Arak 38156-8-8349, Iran.

2 Department of Environmental Science and Engineering, Faculty of Agriculture and Environment, Arak University, Arak 38156-8-8349, Iran.

3 Department of Electrical Engineering, Faculty of Engineering, Arak University, Arak 38156-8-8349, Iran.

https://doi.org/10.61186/jgeri.2.1.57
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

Graphical Abstract

Application of Remote Rensing in Wind Power Plant Location

Highlights

❖ Using remote sensing knowledge to locate the wind power plant.
❖ Using Google Earth Enchain for remote sensing.
❖ Checking the wind condition including wind speed and direction.
❖ Investigating environmental conditions including temperature, pressure and air density.

Keywords

Wind power plant
Remote sensing
Google earth engine
Power system planning

 

Declaration of competing interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

 

Credit Authorship Contribution Statement

Mostafa Davodabadi Farahani: Conceptualization, Data curation, Funding acquisition, Investigation, Methodology, Software, Writing-review & editing. Saeed Sharafi: Conceptualization. Ali Farahani: Conceptualization, Formal analysis, Investigation, Resources, Software, Roles Writingoriginal draft, Writing-review & editing.



Bibliography
Mostafa Davodabadi Farahani, He completed his bachelor's degree from Arak Azad University in Arak, Iran in 2020 and his master's degree in environmental systems engineering from Arak University in Arak, Iran in 2024. His research interests include remote sensing, environmental systems, and clean energy.
Saeed Sharafi Completed his PHD in department of environment science and engineering. currently, he is an assistant professor at Arak University. His research interests include hydrology, abiotic stress and environment science.
Ali Farahani graduated with a B.S. in Electrical Engineering from Arak Azad University, Arak, Iran in 2015. He completed his M.S. in Electrical Engineering from Arak University, Arak, Iran in 2018-2020. He is currently pursuing a Ph.D in Electrical Engineering from Tafresh University, Tafresh, Iran. His research interests include state estimation, control, and planning in power systems.


Citation
M. D. Farahani, S. Sharafi, and A. Farahani " Application of Remote Sensing in Wind Power Plant Location," Journal of Green Energy Research and Innovation, vol. 2, no. 1, pp. 57-65, 2025.

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  • Receive Date 07 April 2024
  • Revise Date 07 May 2024
  • Accept Date 10 May 2024
  • Publish Date 01 March 2025

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