The location optimization of wind turbine sites with using the MCDM approach: A case study

Author

Industrial Engineering Department, Yazd University, Yazd, Iran

Abstract

The many advantages of renewable energies—especially wind—such as abundance, permanence, and lack of pollution, have encouraged many industrialized and developing countries to focus more on these clean sources of energy. The purpose of this study is to prioritize and rank 13 cities of the Fars province in Iran in terms of their suitability for the construction of a wind farm. Six important criteria are used to prioritize and rank these cities. Among these, wind power density—the most important criterion—was calculated by obtaining the three-hourly wind speed data at the height of 10 m above ground level related to the time period between 2004 and 2013 and then extrapolating these data to acquire wind speed related to the height of 40 m. The Data Envelopment Analysis (DEA) method was used for prioritizing and ranking the cities, after which Analytical Hierarchy Process (AHP) and Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (FTOPSIS) methods were used to assess the validity of the results. According to the results obtained from these three methods, the city of Izadkhast is recommended as the best location for the construction of a wind farm.

Keywords


[1] Esmaeili M., Kazemi A., Modelling of Harnessing Renewable Power Source with Evaluating of Economic Benefit, Congress of Wind Power (2012) 10-11

[2] Jabbari A., Shayeghi H., Esmaeilnejad B., Optimum Locating for Wind Turbines in Meshkinshahr City with Considering Technical and Economical Elements, Congress of Wind Power (2012) 10-11.

[3] Mostafaeipour A., Jadidi M., Mohammadi K., Sedaghat A., An Analysis of Wind Energy Potential and Economic Evaluation in Zahedan, Iran, Renewable and Sustainable Energy Reviews (2014)30:641-50.

[4] Azadeh A., Ghaderi S. F., Nasrollahi M. R., Location Optimization of Wind Plants in Iran by an Integrated Hierarchical Data Envelopment Analysis, Journal of Renewable Energy (2011) 36:1621-1631.

[5] http://www.suna.org.ir/fa/publishing/ books. [accessed 15.09.13]

[6] Azar A., Gholamrezaei D., Ranking Provinces of Iran with DEA Approach, Journal of Economic Studies of Iran (2007) 27:153-173.

[7] Mirjalili S. H., Mirdehghan S. A., Dehghan S., Evaluation and Determining of Efficiency in Industrial of Yazd Province  with Using DEA, Journal of Studies and Economic Policies (2010) 54:95-122.

[8] Jovanovic B., Filipovic J., Bakie V., Prioritization of Manufacturing Sectors in Serbia for Energy Management Improvement-AHP Method, Energy and Converstion Management (2015) 98:225-235.

[9]  Mohdevari S., Shahriar K., Esfahanipour A., Human Health and Safety Risks Management in Underground Coal Mines Using Fuzzy TOPSIS, Science of the Total Environment (2014) 448-449:85-99.

[10] Sang X., Liu X., Gin J., An Analytical Solution to Fuzzy TOPSIS and Its Application in Personnel Selection for Knowledge-Intensive Snterprise, Applied Soft Computing (2015) 30:190-204.

[11] Kelemenis A., Ergazakis K., Askounis D., Support Managers' Selection Using an Extension of Fuzzy TOPSIS, Expert System Applications (2011) 38:2774-2782.

[12] Mostafaeeipour A., Sedaghat A., Ghlishooyan M., Dinpashoh Y., Mirhosseini M., Sefid M., Pour-Rezaei M., Evaluation of Wind Energy Potential as a Power Generation Source for Electricity Production in Binalood, Iran, Renewable Energy (2013) 52:222-229 

[13]Mohammadi K., Mostafaeipour A., Economic Feasibility of Developing Wind Turbine in Aligoodarz in Iran, Energy Conversation and Management (2013) 76: 645-653.

[14] Mostafaeipour A., Sedaghat A., Dehghan-miri A.A., Kalantar V., Wind Feasibility Study for City of Shahrbabak in Iran, Renewable and Sustainable Energy Reviews (2011) 15:2545-2556.

[15] Mohammadi K., Mostafaeipour A., Sabzpooshan M., Assessment of Solar and Wind Energy Potentials for Three free Economic and Industrial Zones of Iran, Journal of Energy (2014) 1-12.

[16]Azadeh A., Rahimi A., Moghaddam M., Location Optimization of Wind Power Generation_Transmission System under Uncertainty Using Hierarchical Fuzzy DEA: A Case Study, Renewable and Sustainable Energy Reviews (2014) 30:877-885.

[17]http://fa.wikipedia.org/wiki/%D8%A7%D8%B3%D8%AA%D8%A7%D9%86_%D9%81%D8%A7%D8%B1%D8%B3. [accessed 10.08.14].

[18] http://fa.wikipedia.org/wiki/FarsProvince. [accessed 20.09.14].

[19]http://www.ngdir.ir/geoportalinfo/PSubjectInfoDetail.asp?PID=869&index=16. [accessed 15.09.14].

[20]http://www.noojum.com/other/astronomy-tools/187-online-tools/6266-longitude-latitude.html. [accessed 05.03.15].

[21] Salimi J., Evaluation of Wind Power Potential for Powerhouse Establishment in Natanz Zone, Journal of Iranian Renewable Organization (2003) 115:25-33.

[22] Parvin N., Evaluation of Wind Energy in Qom Province, 4th International Congress of the Islamic World Geographers, (2010) 14-16.

[23]Grassi S., Chokani N., Abhari R. S., Large Scale Technical and Economical Assessment of Wind Energy Potential with a GIS Tool: A Case Study Iowa, Journal of Energy Policy (2012) 45:73- 85.

[24] Kazemi M., Yazdankhah A., Evaluation of Effective Elements in Steady of Wind Net after Error Occurred, First Congress of Electric Powerhouses (2009) 18-19.

[25] Chen H. H., Kang H., Lee A., Strategic Selection of Suitable Projects for Hybrid Solar- Wind Power Generation Systems, (2010) 14:413-21.

[26] http://www.thewindpower.net/n-en/2012-1/ statistics_world_en.php. [accessed 20.08.13].

[27] SharifMoghaddam M., Wind Energy in Iran, Asian Journal on Energy and Environment (2009) 15:41-51.  

[28]Mirhosseini M., Sharifi F., Sedaghat A., Assessing the Wind Energy Potential Location in Province of Semnan in Iran, Journal on Renewable and Sustainable Energy Reviews (2011) 15:449-459.

[29] Movahedi M. M., Hoseini S. M., Ranking of Different Area of Rail Way in Iran with Using DEA, Journal of Application Math (2010) 1(24):49-64.

[30] Farrel M.j., The Measurement of Productive Efficiency, Journal of The Royal Statistical Society (1957) 120:253-281.

[31] Charnes A., Cooper W. W., Rhodes E., Measuring the Efficiency of Decision Making Units, European Journal of Operational Research (1978) 2:429-444.

[32] Wanke P., Barros C., Two-Stage DEA, An Application to Major Brazilian Banks, Expert Systems with Applications (2014) 41:2337-2344.

[33] Sohn S.y., Kim y., DEA Based Multi-Period Evaluation System for Research in Academia, Expert Systems with Applications (2012) 39:8274-8278.

[34] Mitropoulos P., Mitropoulos L., Giannikos L., Combining DEA with Location Analysis for the Effective Consolidation of Services in the Health Sector (2013) 40:2241-50.  

[35] Wu L., An Q., Ali S., Liang L., DEA Based Resource Allocation Considering Environmental Factors (2013) 58:1128-1137.

[36] Pourkazemi M. H., Ranking of Trade Banks of Iran, Journal of Studies and Economic Policies (2011)39-40.

[37] Mehregan M. R., Advanced Operation Studies, University Books Publication, First Publishment.

[38] Saaty T.L., The Analytic Hierarchy Process, NewYork, McGraw-Hill 1980.

[39] Beltran P. A., Gonzalez F. C., Ferrando J. P., An AHP (Analytic Hierarchy Process)/ANP (Analytic Network Process) Based Multi-Criteria Decision Approach for the Selection of Solar-Thermal Power Plant Investment Projects, Journal of Energy (2013) 68:1-17.

[40] Lai Y. J., Liu T. Y., Hwang C. L., TOPSIS for MODM, European Journal of Operational Research (1994) 76(3):486-500.

[41] Sengul U., Eren M., Eslamian S., Geder V., Fuzzy TOPSIS Method for Ranking Renewable Energy Supply System in Turkey, Renewable Energy (2013) 52:222-229.

[42] Ashtiani B., Haghighirad F., Makui A., Alimontazer G., Extension of Fuzzy TOPSIS Method Based on Interval-Valued Fuzzy Sets, Application Soft Computing (2009) 9:457-461.

[43] Zhou x., Lu m., Risk Evaluation of Dynamic Alliance Based on Fuzzy Analytic Network Process and Fuzzy TOPSIS, Journal of Science Management (2012) 5:230-240.

[44]http://www.shirazedc.co.ir/showpage.aspx?page_=form&order=show&lang=1&sub=o&pageId=4368codeV=1&tempname=amar. [accessed 15.02.13]

[45] Mathew S., Wind Energy Fundamentals, Resource Analysis and Economics. Electronically Available at http://www.springer.com/engineering/energy+technology/book/978-3-540-30905-5?changeheader.