Site selection of wind power in East Azarbaijan province by using AHP
Limited fossil energy source and increase of energy use is always pushed man to replace the energy source. In this case the winds have always had a special place in the new generation of energy sources. East Azarbaijan province because of the topographical and relativity situation is one of the best...
Main Authors: | , |
---|---|
Format: | Article |
Language: | fas |
Published: |
University of Tabriz
2020-02-01
|
Series: | نشریه جغرافیا و برنامهریزی |
Subjects: | |
Online Access: | https://geoplanning.tabrizu.ac.ir/article_10108_7c3e33e78ffc34779f0da86b0aa3b8ff.pdf |
_version_ | 1827314111631851520 |
---|---|
author | mehdi asadi Ali Mohammad Khorshiddoust |
author_facet | mehdi asadi Ali Mohammad Khorshiddoust |
author_sort | mehdi asadi |
collection | DOAJ |
description | Limited fossil energy source and increase of energy use is always pushed man to replace the energy source. In this case the winds have always had a special place in the new generation of energy sources. East Azarbaijan province because of the topographical and relativity situation is one of the best places for building a wind farm. therefore this research have been done to find out the best places for building wind farms in East Azarbaijan province, to find this places different criteria and sub criteria have been used. Given the importance of information fusion, analytic hierarchy process (AHP) were selected for weighting the layers and were implemented by the help of Expert choice software. For special analyses and overlapping of layers the Arc GIS program have been used and after the analysis of information, according to the capacity of building wind farms, province of East Azarbaijan have been divided to four parts, great, good, normal, weak. At last, final conclusions represent that Geographic Information System as a Supportive Decision making system can be practical both in preparing of data and designing the priorities and expert's ideas dealing with different factors and also help the designers to select the proper location to found the wind farms. In this research,15 regions have been determined, considering priority of, overlay, limitation of land and places, survey of priority area, climate condition and personal observation have been determined that in sequence this places are Tabriz, Sahand, Osko, Azarshahr, Bostanabad, Shabestar, Jolfa, Haris, Miyane, Bonab, Marageh, Sarab, Ahar, Charayomagh and Hashtrod. |
first_indexed | 2024-04-24T22:29:21Z |
format | Article |
id | doaj.art-5e3427510b6d45dab275c87bdc568059 |
institution | Directory Open Access Journal |
issn | 2008-8078 2717-3534 |
language | fas |
last_indexed | 2024-04-24T22:29:21Z |
publishDate | 2020-02-01 |
publisher | University of Tabriz |
record_format | Article |
series | نشریه جغرافیا و برنامهریزی |
spelling | doaj.art-5e3427510b6d45dab275c87bdc5680592024-03-19T22:09:22ZfasUniversity of Tabrizنشریه جغرافیا و برنامهریزی2008-80782717-35342020-02-01237010112210108Site selection of wind power in East Azarbaijan province by using AHPmehdi asadi0Ali Mohammad Khorshiddoust1tourism companyChief EditorLimited fossil energy source and increase of energy use is always pushed man to replace the energy source. In this case the winds have always had a special place in the new generation of energy sources. East Azarbaijan province because of the topographical and relativity situation is one of the best places for building a wind farm. therefore this research have been done to find out the best places for building wind farms in East Azarbaijan province, to find this places different criteria and sub criteria have been used. Given the importance of information fusion, analytic hierarchy process (AHP) were selected for weighting the layers and were implemented by the help of Expert choice software. For special analyses and overlapping of layers the Arc GIS program have been used and after the analysis of information, according to the capacity of building wind farms, province of East Azarbaijan have been divided to four parts, great, good, normal, weak. At last, final conclusions represent that Geographic Information System as a Supportive Decision making system can be practical both in preparing of data and designing the priorities and expert's ideas dealing with different factors and also help the designers to select the proper location to found the wind farms. In this research,15 regions have been determined, considering priority of, overlay, limitation of land and places, survey of priority area, climate condition and personal observation have been determined that in sequence this places are Tabriz, Sahand, Osko, Azarshahr, Bostanabad, Shabestar, Jolfa, Haris, Miyane, Bonab, Marageh, Sarab, Ahar, Charayomagh and Hashtrod.https://geoplanning.tabrizu.ac.ir/article_10108_7c3e33e78ffc34779f0da86b0aa3b8ff.pdfsite selectiongeographic information systemwind farmanalytic hierarchy processeast azarbaijan |
spellingShingle | mehdi asadi Ali Mohammad Khorshiddoust Site selection of wind power in East Azarbaijan province by using AHP نشریه جغرافیا و برنامهریزی site selection geographic information system wind farm analytic hierarchy process east azarbaijan |
title | Site selection of wind power in East Azarbaijan province by using AHP |
title_full | Site selection of wind power in East Azarbaijan province by using AHP |
title_fullStr | Site selection of wind power in East Azarbaijan province by using AHP |
title_full_unstemmed | Site selection of wind power in East Azarbaijan province by using AHP |
title_short | Site selection of wind power in East Azarbaijan province by using AHP |
title_sort | site selection of wind power in east azarbaijan province by using ahp |
topic | site selection geographic information system wind farm analytic hierarchy process east azarbaijan |
url | https://geoplanning.tabrizu.ac.ir/article_10108_7c3e33e78ffc34779f0da86b0aa3b8ff.pdf |
work_keys_str_mv | AT mehdiasadi siteselectionofwindpowerineastazarbaijanprovincebyusingahp AT alimohammadkhorshiddoust siteselectionofwindpowerineastazarbaijanprovincebyusingahp |