پتانسیل‌سنجی تولید انرژی باد به کمک تحلیل آماری مشخصه‌های باد – مطالعه موردی: شهرستان اقلید در استان فارس

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشجوی دکتری مهندسی مکانیزاسیون کشاورزی، گروه مهندسی ماشین های کشاورزی، دانشکده مهندسی و فناوری کشاورزی، دانشگاه تهران

2 استاد گروه مهندسی ماشین های کشاورزی، دانشکده مهندسی و فناوری کشاورزی، دانشگاه تهران

3 استادیار گروه مهندسی ماشین‌های کشاورزی، دانشکده مهندسی و فناوری کشاورزی، دانشگاه تهران

4 عضو هیأت علمی گروه مهندسی ماشین های کشاورزی دانشگاه تهران

چکیده

سرعت باد یکی از مهمترین مشخصه­های انرژی باد است که داده­های آن از ایستگاه­های هواشناسی استخراج می­گردد. در این مطالعه از داده­های اخذ شده از ایستگاه هواشناسی شهرستان اقلید در دوره ده ساله استفاده شده است. توزیع ویبل به عنوان بهترین توزیع با روش برازش منحنی و با استفاده از تخمین پارامترهای مهم آماری مشخص شد. نتایج نشان داد متوسط سرعت باد حدود 96/2 متر بر ثانیه است و کمترین سرعت وزش باد متعلق به ماه­های گرم سال است. متوسط سرعت نامی برای استحصال حداکثر انرژی باد در ایستگاه مورد مطالعه حدود 81/7 متر بر ثانیه برآورد گردید. مجموع چگالی توان و انرژی باد در دوره ده ساله به ترتیب معادل 79 وات بر مترمربع در سال و 6723/657 کیلووات ساعت بر متر مربع در سال محاسبه شد. جهت باد غالب در منطقه به ترتیب با بیشترین سهم در جهت­های شرق و غرب شناسایی گردید.

کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

Evaluating the potential of wind energy generation using statistical analysis of wind characteristics – Case study: Eqlid Country

نویسندگان [English]

  • Paria Sefeedpari 1
  • Alireza Keyhani 2
  • Seyyed Hassan Pishgar Komleh 1
  • Majid Khanali 3
  • Assadollah Akram 4
1 Ph.D. student, Department of Agricultural Machinery Engineering, Faculty of Agricultural Engineering and Technology, University of Tehran
2 Professor, Department of Agricultural Machinery Engineering, Faculty of Agricultural Engineering and Technology, University of Tehran
3 Assisstant Professor, Department of Agricultural Machinery Engineering, Faculty of Agricultural Engineering and Technology, University of Tehran
4
چکیده [English]

Wind speed is one of the characteristics of wind energy which its data is extracted from meteorological stations. In this study, the data obtained from the weather station in the city Eqlid during a ten-year period has been used. Weibull distribution was chosen as the best distribution function using fitting tests and estimation of some statistical parameters. The results showed that the average wind speed was about 2.96 meters per second and the least wind speed occurs in the warm months. Average rating for extracting the maximum wind speed (Vemp) at the studied stations was about 7.81 meters per second. The total power density and wind energy were 79 Watts per square meter and 657.6723 kilowatt hours per square meter in a year, respectively. The dominant wind direction with the highest contribution in the region belonged to the directions of east, south and west.

کلیدواژه‌ها [English]

  • Eqlid County
  • Wind Energy
  • renewable energy
  • Rayleigh distribution
  • Weibull distribution
Abbaspour, M. (1996). An examination, economical comparison and feasibility study on wind powerhouses in Iran. In: Proceedings of Congress on Development of Renewable energy utilization, Tehran, Abij Pub. (In Farsi)
Ahmed Shata, A. S. & Hanitsch, R. (2006) Evaluation of Wind Energy Potential and Electricity Generation on the Coast of Mediterranean Sea in Egypt. Journal of Renewable Energy, 31, 1183–1202.
Alimi, S. E., Maatallah, T., Dahmouni, A. W. & Nasrallah, S. B. (2012) Modeling and investigation of the wind resource in the gulf of Tunis, Tunisia. Renewable and Sustainable Energy Reviews, 16 (8), 5466–5478.
Alizadeh, A. (2006). Weather and continent (9th Ed.) Mashhad: Ferdousi Mashhad Universty Pub.    
Al-Mohamad, A. & Karmeh, H. (2003) Wind energy potential in Syria. Renewable Energy, 28(7), 1039-1046.
Anonymous, (1993) A survey and research on wind power houses. Power Research Center, report one, part one, Tehran, November 1993. In Farsi))
Anonymous, (2005) IEA Energy Statistics manual (OECD/IEA), International Energy Agency, Power Ministry of Islamic Republic of Iran, pp. 129, from: www.iea.org/.../statistics_manual_farsi.pdf. (inFarsi)
Anonymous, (2012) Statistical Center of Iran, from: http://www.amar.org.ir/Portals/2/pdf/jamiat_shahrestan_keshvar.pdf. (In Farsi)
Anonymous, (2013) Statistics Toolbox, User’s Guide R2013b, from: http://www.mathworks. com.
Anonymous, (2013). U.S. Department of Energy, Energy Efficiency and Renewable Energy, from: http://energy.gov/eere/renewables/wind.
Arsalan, O. (2010). Technoeconomic analysis of electricity generation from wind energy in Kutahya, Turkey. Energy, 35 (1), 120–131.
Barber, D. A, Court, A. & Hewson, E. W. (1977) Wind characteristics. Wind Energy over the United States. Final Report. Wind Energy Mission Analysis, ERDA Contract AT (04-3)1075, Lockheed-California Company, chapter 3.
Biglari, M., Assareh, E.A., Nedaei, M. & Poltangari, I. (2014) Feasibility study and economic evaluation of wind energy in north of Khuzestan province: case study of shush-tar, Iranian Journal of Energy, 17(1), 91-110.
Boudia, S. M., Benmansour, A., Ghellai, N., Benmedjahed, M. & Hellal M. A. T. (2013) Temporal assessment of wind energy resource at four locations in Algerian Sahara. Energy Conversion and Management, 76, 654–664.
Chang, T. J., Wua, Y. T., Hsua H. Y., Chub, C. R. & Liaoa, C. M. (2003). Assessment of wind characteristics and wind turbine characteristics in Taiwan. Renewable Energy, 28 (6), 851-871.
Dahmouni, A.W., BenSalah, M., Askri, F., Kerkeni, C. & Ben Nasrallah, S. (2011) Assessment of wind energy potential and optimal electricity generation in Borj-Cedria, Tunisia. Renewable and Sustainable Energy Reviews, 15 (1), 815-820.
Diaf, S., Notton, G. & Diaf, D. (2013) Technical and economic assessment of wind farm power generation at Adrar in Southern Algeria. Energy Procedia, 42, 53-62.
Dundar, C. & Inan, D. (2001) Wind energy potential of Cesme, Turkey. Solar world congress, August, Taejon, Korea.
Edgar, G. P. & Obrien, J. J. (1986) Weibull statistics of wind speed over the ocean. Journal of Applied Meteorology and Climatology, 25, 324-332.
Elamouri, M. & Ben Amar, F. (2008) Wind energy potential in Tunisia, Renewable Energy, 33 (4), 758-768.
Fagbenle, R. O., Katende, J., Ajayi, O. O. & Okeniyi, J. O. (2011) Assessment of wind energy potential of two sites in North-East, Nigeria. Renewable Energy, 36 (4), 1277-1283.
Fatehi Peykani, H. (2009) An statistical study for wind distribution fitting. In: Proceedings of 7th National Energy Congress, 22-23 Dec., Tehran, Iran.
Gupta B. K. (1986) Weibull parameters for Annual and Monthly Wind Speed Distributions for 5 locations in India. Journal of Solar Energy, 37 (6), 469–471.
Hennessey, J. P. (1977) Some Aspects of Wind Power Statistics. Journal of Applied Meteorology and Climatology, 16, 119–128.  
Ilinca, A., McCarthy, E., Chaumel, J.L. & Rétiveau, J.L. (2003) Wind potential assessment of Quebec Province. Renewable Energy, 28, 1881–97.
Jamil, M. (2001). Wind Energy density.  Nivar Journal, No. 42 and 43. (In Farsi)
Justus, C. G., Hargraves, W. R. & Raclin A. (1976) Nationwide assessment of potential output from wind powered generators. Journal of Applied Meteorology and Climatology, 15, 673-678.
Kamau, J. N., Kinyua, R. & Gathua, J. K. (2010) 6 years of wind data for Marsabit, Kenya average over 14 m/s at 100 m hub height; An analysis of the wind energy potential. Renewable Energy, 35, 1298-1302.
Karsli, V. M. & Gecit, C. (2003) An investigation on wind power potential of Nurdag-Gaziantep, Turkey. Renewable Energy, 28, 823-830.
Kaviani, M., Alijani, B. (1995). Principles of water and meteorology. Tehran: SAMT. (In Farsi)
Keyhani, A., Ghasemi-Varnamkhasti, M., Khanali, M. & Abbaszadeh, R. (2010) An assessment of wind energy potential as a power generation source in the capital of Iran, Tehran. Energy, 35 (1), 188–201.
Kwon, S.D. (2010) Uncertainty analysis of wind energy potential assessment. Applied Energy, 87(3), 856-865.
Mostafaeipour, A., Jadidi, M., Mohammadi, K. & Sedaghat, A. (2014) An analysis of wind energy potential and economic evaluation in Zahedan, Iran. Renewable and Sustainable Energy Reviews, 30, 641–650.
Omidvar, K. & Dehqan Tazarjani, M. (2012) A potential survey and evaluating wind power characteristics at isometropia stations of Yazd province. Geographical Research Journal, 27(2), 149-168. (In Farsi)
Patel, M. R. (1999) Wind and Solar Power Systems. CRC Press LLC. 68-70.
Pishgar Komleh, S.H., Keyhani A. & Sefeedpari, P. 2015. Wind speed and power density analysis based onWeibull and Rayleigh distributions (a case study: Firouzkooh county of Iran). Renewable and Sustainable Energy Reviews 42, 313–322.
Ramachandra, T. V., Rajeev, K. J., Krishna, S. V. & Shruthi, B. V. (2005) Wind energy potential assessment spatial decision support system. Energy Education Science and Technology, 14(2), 61-80.
Rehman S., Halvani, T. & Husain. T. (1994) Weibull parameters for wind speed distribution in Saudi Arabia. Solar Energy, 53(6), 473-479.
Rezaei, A. & Mirmohammadi Meiboudi, A. M. (2005) Statistics and Probability (Application in Agriculture) (first ed.). Isfahan: Jihad-e- Daneshgahi of Isfahan University of Technology. (In Farsi)
Saeidi, D., Mirhosseini, M., Sedaghat, A. & Mostafaeipour, A. (2011) Feasibility study of wind energy potential in two provinces of Iran: North and South Khorasan. Renewable and Sustainable Energy Reviews, 15(8), 3558–69.
Salahi, B. (2004) A potential survey on wind energy and real probability fitting of wind incidence using Weibull distribution function in isometropia  stations of Ardabil province. Geographical Researches, 72. (In Farsi)
Sherbafian, N., 2008. Evaluating wind power potential and its effect on economy. Quarterly Energy Economics Review, 5 (17), 113-140. (In Farsi)
Skidmore, E. L. & Tatarko, J., (1991) Wind in the Great Plains: Speed and direction distributions by month. p. 245-263. In. J.D. Hanson, M.J. Shaffer, D.A. Ball., and C.V. Cole (eds). Sustainable Agriculture for the Great Plains, Symposium Proceedings, USDA, ARS, ARS-89, 255 p.
Skidmore, E.L & Tatarko, J. (1990) Stochastic wind simulation for wind erosion modeling. Trans. ASAE. 33, 1893.
Soltani, S., Gholamian, S. & Farahani, K. (2010) Surveying of Wind Potential at Amir Abad Port with the Aim of Construction of a Wind Power Plant (Farm), Iranian Journal of Energy, 13(3), 100-116.
Toure, S. (2005) Investigations on the eigen-coordinates method for the 2-parameter Weibull distribution of wind speed. Renewable Energy, 30 (4), 511-521.
Weisser, D. (2003) A wind energy analysis of Granada: an estimation using the Weibull density function, Renewable Energy, 28 (11), 1803-1812.
Zahedi, M., Salahi, B., Jamil, M. (2005). Estimating wind density and power for utilizing its generated energy in Ardabil province. Geographical researches, 35, 41-55. (In Farsi)
Zakeri Fard, R., Abdi, H. & Khonakdari, T. (2011) Feasibility Study of Construction of a 10 MW Wind Power Plant in Moraveh Tappeh, Iranian Journal of Energy, 14(1), 55-77.