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Investigation of accurate location planning for wind farm establishment: a case study

Ali Mostafaeipour (Department of Industrial Engineering, Yazd University, Yazd, Islamic Republic of Iran)
Sajjad Sadeghi (Yazd University, Yazd, Islamic Republic of Iran)
Mehdi Jahangiri (Department of Mechanical Engineering, Shahrekord Branch, Islamic Azad University, Shahrekord, Iran)
Omid Nematollahi (Busan National University, Kumjeong-ku, Republic of Korea)
Ali Rezaeian Sabbagh (Yazd University, Yazd, Islamic Republic of Iran)

Journal of Engineering, Design and Technology

ISSN: 1726-0531

Article publication date: 30 December 2019

Issue publication date: 15 June 2020

231

Abstract

Purpose

Wind as a major source of renewable energy has received tremendous attentions due to its unique features to reduce carbon emission and also to keep the environment safe. Nevertheless, to use wind energy properly, the environmental circumstances and geographical location related to wind intensity should be considered as a priority. Different factors may affect the selection of a suitable location for developments of wind power plants; thus, these factors should be considered concurrently to identify the optimum location of wind plants.

Design/methodology/approach

In this study, first, basic data envelopment analysis (DEA) was used, then dual DEA was used and, finally, Anderson Petersen (AP) model of dual DEA was selected to prioritize cities or decision-making units (DMUs). Numerical Taxonomy (NT) method was also used to assess the validity of AP dual model in DEA. The prescribed approach was applied for five cities in East Azerbaijan province of Iran.

Findings

The results indicate that wind power as a renewable energy can be harnessed in few cities, and the ranking by DEA illustrated that the city of Tabriz is the first priority.

Practical implications

Low environmental degradation effects in comparison to other methods and the ability to utilization at a widespread level include the benefits of using wind energy in the generation of electricity. In this regard, the study of relevant potentials and finding suitable locations for the deployment of wind energy utilization equipment are essential. Using DEA method helps us to choose optimal locations according to different criteria.

Social implications

Wind energy is justifiable in reducing social costs in comparison with fossil fuel plants, which includes negative effects, and its electricity can be used as a sustainable energy in the country's economic, social and cultural development.

Originality/value

For identifying the most proper location for development of wind power plants in Iran, DEA is applied for the first time to prioritize the suitable locations for installations of wind turbines among five different cities in the East Azerbaijan region. A number of crucial factors including land price, distance to power, rate of natural hazards, wind speed and topography are considered for location optimization of wind turbines for the first time. Also, to validate the results of DEA method, NT method is used to assess the validity of AP dual model in DEA.

Keywords

Citation

Mostafaeipour, A., Sadeghi, S., Jahangiri, M., Nematollahi, O. and Rezaeian Sabbagh, A. (2020), "Investigation of accurate location planning for wind farm establishment: a case study", Journal of Engineering, Design and Technology, Vol. 18 No. 4, pp. 821-845. https://doi.org/10.1108/JEDT-08-2019-0208

Publisher

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Emerald Publishing Limited

Copyright © 2019, Emerald Publishing Limited

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