Land suitability evaluation based on multi-criteria decision-making methods for locating wind farms in Khorasan Razavi province

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

MOLAVI M.; TALEAI M.; JAVADI G.

Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Iranian Journal of Remote Sensing & GIS Year:2019 | Volume:11 | Issue:3 Page(s): 59-78

Download Full-Text

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Verion

View:

447

Download:

Cites:

Information Journal Paper

Title

Land suitability evaluation based on multi-criteria decision-making methods for locating wind farms in Khorasan Razavi province

Author(s)

MOLAVI M. | TALEAI M. | JAVADI G. | Issue Writer Certificate

Keywords

Wind farmsQ1

GISQ2

ANPQ2

OWAQ1

DEMATELQ1

Abstract

Finding the optimum location of wind turbines for the proper use of wind energy, as one of the sources of renewable energy, is very important. Determining the location of wind turbines has a great influence on the efficiency of their equipment. So far, research in the Khorasan Razavi area has limited to the statistical analysis of wind speed and directional data while the spatial criteria affecting finding the optimum location of wind turbines was rarely considered. This research seeks to find optimum location for the wind power plant using environmental (including slope, altitude, distance from the fault, distance from the river, distance from protected areas), technical (including average wind speed, wind congestion and wind density), and economic (including distance from the city, the village, the airport, the natural resources and from the road) criteria and using ANP, ANP-DEMATEL and ANP-OWA multi-criteria decision-making methods. The aim is to evaluate the results of each method and produce a land suitability map for the construction of wind power plants in different decision scenarios. Based on this, using the analysis tools of the geospatial information system, the land suitability map is produced based on the aggregation of the mentioned criteria and the results of utilizing the mentioned decision-making methods are compared. By considering land suitability maps, it has been determined that in different scenarios of decision making, the southeastern province has the most potential for wind power plant construction. The results of this research indicate that the proposed method provides a good tool for choosing the right place to build a wind power plant.

Cites

No record.

References

No record.

Cite

APA: Copy

MOLAVI, M., TALEAI, M., & JAVADI, G.. (2019). Land suitability evaluation based on multi-criteria decision-making methods for locating wind farms in Khorasan Razavi province. REMOTE SENSING & GIS, 11(3 ), 59-78. SID. https://sid.ir/paper/358671/en

Vancouver: Copy

MOLAVI M., TALEAI M., JAVADI G.. Land suitability evaluation based on multi-criteria decision-making methods for locating wind farms in Khorasan Razavi province. REMOTE SENSING & GIS[Internet]. 2019;11(3 ):59-78. Available from: https://sid.ir/paper/358671/en

IEEE: Copy

M. MOLAVI, M. TALEAI, and G. JAVADI, “Land suitability evaluation based on multi-criteria decision-making methods for locating wind farms in Khorasan Razavi province,” REMOTE SENSING & GIS, vol. 11, no. 3 , pp. 59–78, 2019, [Online]. Available: https://sid.ir/paper/358671/en

Related Journal Papers