مکان یابی نیروگاه‌های بادی در استان سمنان با استفاده از روشAHP
محورهای موضوعی : مدیریت محیط زیست
حسن رضائی
1
(دکتری اقلیم کشاورزی، مدرس دانشگاه افسری امام علی(ع). *(مسول مکاتبات))
مختار کرمی
2
(استادیار گروه جغرافیا و برنامه ریزی محیطی، دانشگاه حکیم سبزواری.)
فهیمه شاکری
3
(دانشجوی دکتری اقلیم شهری، دانشگاه حکیم سبزواری.)
کلید واژه: فرآیند تحلیل سلسله مراتبی, سمنان, نیروگاه بادی, سیستم اطلاعات جغرافیایی, مکان‌یابی,
چکیده مقاله :
زمینه و هدف:محدودیت ذخایر انرژی فسیلی در جهان و افزایش سطح مصرف انرژی، همواره بشر را برای جایگزین کردن منابع انرژی جدید به چالش کشیده است. در این بین، باد به عنوان یکی از مظاهر انرژی های نو از جایگاه ویژه ای برخوردار است. استان سمنان با توجه به وضعیت توپوگرافی و موقعیت نسبی خود یکی از مناسب ترین مکان ها برای احداث نیروگاه بادی می باشد. روش بررسی: در این پژوهش برای تعیین مکان های مناسب جهت احداث نیروگاه بادی در این استان، معیارها و زیر معیارهای مختلفی مد نظر قرار گرفت و با توجه به اهمیت تلفیق اطلاعات، فرآیند تحلیل سلسله مراتبی (AHP) برای وزن دهی به لایه ها انتخاب و به کمک نرم افزار Expert choice پیاده سازی گردید. از نرم افزار Arc GIS، به منظور تحلیل فضایی و همپوشانی لایه ها استفاده شد و بعد از تجزیه و تحلیل اطلاعات، استان سمنان از نظر قابلیت احداث نیروگاه بادی به چهار سطح عالی، خوب، متوسط و ضعیف تقسیم گردید. یافته ها: در نهایت نتایج حاصل نشان گر آن است که سیستم اطلاعات جغرافیایی به عنوان یک سیستم حمایتی تصمیم گیری، می تواند هم در آماده سازی داده ها و هم در مدل کردن اولویت ها و نظرات کارشناسان در رابطه با عوامل مختلف بسیار کارامد باشد و طراحان را در انتخاب مکان مناسب جهت احداث نیروگاه بادی یاری کند. بحث و نتیجه گیری: در این تحقیق، 3 منطقه، با در نظر گرفتن همپوشانی و انطباق نقشه های محدودیت، شرایط اقلیمی و نیز بازدید میدانی تعیین گردیدند که این مناطق به ترتیب دامغان، شمال غرب گرمسار و به صورت رگه هایی در شرق شاهرود می باشند.
Background and Objective: Limited fossil energy source and increase of energy demand is always pushed man to search for new energy sources as replacement. In this case the winds always have a special place in the new generation of energy sources. Semnan province with favourable topographical and relativity suitable situation is one of the best places for building a wind farm. Method: Therefore, in this research different criteria and sub criteria have been used to identify the suitable location for building wind farms in Semnan province, As the importance of information fusion, Analytic Hierarchy Process (AHP) method were employed for weighting the layers and the Expert Choice software implemented for this purpose. The Arc GIS program has been used for special analyses and overlapping of layers. After the analysis of information, according to the capacity of building wind farms, province of Semnan has been divided to four parts of great, good, normal and weak. Findings: At last, it is indicated that Geographic Information System as a Supportive Decision making system can be practical both in preparing of data and designing the priorities and giving expert's ideas dealing with different factors and also help the designers to select the proper location for the wind farms. Discussion and Conclusion: In this research, three regions have been determined, considering priority of overlaying and limitation of land and places, survey of priority area also considering the climate condition and personal observation have been determined that this places are Damghan, Nothwestern of Garmsar and and some part of eastern Shahroud.
- Amani, A., and Hosseini Shama Chi, A.2010, Investigation of wind energy potential in South Aras river basin stations, Journal of Geographical Space, 10(29),1-26. (In Persian)
- Abdoli, H., Sari Sarraf, B., Hosseini Shama, Chi., 2009. Feasibility study of wind energy potential and its application in industrial development projects (Case study: East Azerbaijan province), Journal of Geographical Space, 9 (28), 74-57. . (In Persian)
- Soltani, B., Gholamian, A., Dastjani Farahani, K., 2010, Investigation of wind energy potential in Amirabad port in order to feasibility of establishing a wind power plant ", Iranian Energy Journal, 13 (13), 1-15. (In Persian)
- Zahedi, M, Salahi, B., Jamil, M, 2003. Calculation of wind density and power in order to use its energy in Ardabil, Geographical Research, 37 (53), 41-55. . (In Persian)
- Baban, Serwan M, J, Tim P,.2000. Developing and applying a GIS assisted approach to locating wind farms in the UK, Renewable Energy 24(1), Pp. 59-71.
- Bennui, A., Rattanamanee, P., Puetpaiboo وU., Phukpattaranont, P., Chetpa T, Tanan ondh, K., 2007. Site selection for large wind turbine using GIS. PSU-UNS International Conference on Engineering and Environment, Thailand,.1-6.
- Prabamroong, A., Kasemsan, M., Wanvisa, Ch., and Nuttee, A.,2009. Development of a Gis Decision Support System for Wind Farm Installations in Thailand: Current State and Results. World Renewable Energy Congress– Asia, 690-695.
- Mostafaeipour, A. A., Sedaghat, B., Dehghan-Niri, C., Kalantar, V., 2011. Wind Energy feasibility study for city of Shahrbabak in Iran, Renewable and Sustainable Energy Reviews,15, 2545- 2556. (In Persian)
- Ahmed Shata, A.,2012. Potential wind power generation in South Egypt, Renewable and Sustainable Energy Reviews 16, 1528–1536.
- Masseran, N, A.M, Razali, K. Ibrahim., 2012. An analysis of wind power density derived from several wind speed density functions: The regional assessment on wind power in Malaysia, Renewable and Sustainable Energy Reviews 16, 6476- 6487.
- Yasmina, A., Abdullatif, H., 2012.Wind energy in Egypt Economic feasibility for Cairo. Renewable and Sustainable Energy Reviews 16, 3312- 3319.
- Noorullahi, Y., Ashraf, M. A., Zamani, M., .2011. West Regional Wind Wind Energy Potential Assessment Using Geographic Information System (GIS), 8th National Energy Conference, Tehran.
- Mohammadi, H., Rostami Jalilian, Sh. Taghavi, F. Shamsipour, A. A., 2012, Wind energy potential measurement in Kermanshah province, Natural Geography Research, 44 (2), 19-32.
- Taylor, B.W., 2004. Introduction to Management Science. Pearson Education Inc. New Jersey.
- Bevilacqua, M. D., ’Amore, A., & Polonara, F., 2004. A Multi-Criteria Decision approach to Choosing the Optimal Blanching–Freezing System. Journal of Food Engineering, 63: 253-263.
- Saaty, Thomas, L., 1990.Decision Making for Leaders. Pittsburgh: RWS Publications.
- Saaty, Thomas L., 1996.the Analytic Network Process. Pittsburgh: RWS Publications.
- Taha, H.A.,2003. Operations Research. Pearson Education Inc. Fayetteville.
- Kunz, J., 2010.The Analytic Hierarchy Process (AHP), Eagle City Hall Location Options Task Force, pp.1-25.
- Bowen, William M., 1990.Subjective judgments and data environment analysis in site selection, Computer, Environment and Urban Systems, Vol. 14, Pp. 133-144.
- Dey, P.K., Ramcharan, E.K., 2008. Analytic hierarchy process helps select site for limestone quarry expansion in Barbados, Journal of Environmental Management. Pp. 1384-1395.
- Bertolini, M., Braglia, M., 2006. Application of the AHP methodology in making a proposal for a public work contract, International Journal of Project Management 24, pp. 422-430.
- Moreno-Jimenez, J.M., 2005. A spread sheet module for consistent consensus building in AHP-group decision making, Group Decision and Negotiation.Vol, 14. pp 89–108.
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- Amani, A., and Hosseini Shama Chi, A.2010, Investigation of wind energy potential in South Aras river basin stations, Journal of Geographical Space, 10(29),1-26. (In Persian)
- Abdoli, H., Sari Sarraf, B., Hosseini Shama, Chi., 2009. Feasibility study of wind energy potential and its application in industrial development projects (Case study: East Azerbaijan province), Journal of Geographical Space, 9 (28), 74-57. . (In Persian)
- Soltani, B., Gholamian, A., Dastjani Farahani, K., 2010, Investigation of wind energy potential in Amirabad port in order to feasibility of establishing a wind power plant ", Iranian Energy Journal, 13 (13), 1-15. (In Persian)
- Zahedi, M, Salahi, B., Jamil, M, 2003. Calculation of wind density and power in order to use its energy in Ardabil, Geographical Research, 37 (53), 41-55. . (In Persian)
- Baban, Serwan M, J, Tim P,.2000. Developing and applying a GIS assisted approach to locating wind farms in the UK, Renewable Energy 24(1), Pp. 59-71.
- Bennui, A., Rattanamanee, P., Puetpaiboo وU., Phukpattaranont, P., Chetpa T, Tanan ondh, K., 2007. Site selection for large wind turbine using GIS. PSU-UNS International Conference on Engineering and Environment, Thailand,.1-6.
- Prabamroong, A., Kasemsan, M., Wanvisa, Ch., and Nuttee, A.,2009. Development of a Gis Decision Support System for Wind Farm Installations in Thailand: Current State and Results. World Renewable Energy Congress– Asia, 690-695.
- Mostafaeipour, A. A., Sedaghat, B., Dehghan-Niri, C., Kalantar, V., 2011. Wind Energy feasibility study for city of Shahrbabak in Iran, Renewable and Sustainable Energy Reviews,15, 2545- 2556. (In Persian)
- Ahmed Shata, A.,2012. Potential wind power generation in South Egypt, Renewable and Sustainable Energy Reviews 16, 1528–1536.
- Masseran, N, A.M, Razali, K. Ibrahim., 2012. An analysis of wind power density derived from several wind speed density functions: The regional assessment on wind power in Malaysia, Renewable and Sustainable Energy Reviews 16, 6476- 6487.
- Yasmina, A., Abdullatif, H., 2012.Wind energy in Egypt Economic feasibility for Cairo. Renewable and Sustainable Energy Reviews 16, 3312- 3319.
- Noorullahi, Y., Ashraf, M. A., Zamani, M., .2011. West Regional Wind Wind Energy Potential Assessment Using Geographic Information System (GIS), 8th National Energy Conference, Tehran.
- Mohammadi, H., Rostami Jalilian, Sh. Taghavi, F. Shamsipour, A. A., 2012, Wind energy potential measurement in Kermanshah province, Natural Geography Research, 44 (2), 19-32.
- Taylor, B.W., 2004. Introduction to Management Science. Pearson Education Inc. New Jersey.
- Bevilacqua, M. D., ’Amore, A., & Polonara, F., 2004. A Multi-Criteria Decision approach to Choosing the Optimal Blanching–Freezing System. Journal of Food Engineering, 63: 253-263.
- Saaty, Thomas, L., 1990.Decision Making for Leaders. Pittsburgh: RWS Publications.
- Saaty, Thomas L., 1996.the Analytic Network Process. Pittsburgh: RWS Publications.
- Taha, H.A.,2003. Operations Research. Pearson Education Inc. Fayetteville.
- Kunz, J., 2010.The Analytic Hierarchy Process (AHP), Eagle City Hall Location Options Task Force, pp.1-25.
- Bowen, William M., 1990.Subjective judgments and data environment analysis in site selection, Computer, Environment and Urban Systems, Vol. 14, Pp. 133-144.
- Dey, P.K., Ramcharan, E.K., 2008. Analytic hierarchy process helps select site for limestone quarry expansion in Barbados, Journal of Environmental Management. Pp. 1384-1395.
- Bertolini, M., Braglia, M., 2006. Application of the AHP methodology in making a proposal for a public work contract, International Journal of Project Management 24, pp. 422-430.
- Moreno-Jimenez, J.M., 2005. A spread sheet module for consistent consensus building in AHP-group decision making, Group Decision and Negotiation.Vol, 14. pp 89–108.