Physics Journal
Articles Information
Physics Journal, Vol.1, No.2, Sep. 2015, Pub. Date: Aug. 17, 2015
Techno-Economic Evaluation of Utilizing a Micro Wind Turbine in Arak, Iran
Pages: 79-88 Views: 2690 Downloads: 800
[01] Mohammad Hoseini Rahdar, Department of Energy Engineering, Graduate school of the Environment and Energy, Science and Research Branch, Islamic Azad University, Tehran, Iran.
[02] Abtin Ataei, Department of Energy Engineering, Graduate school of the Environment and Energy, Science and Research Branch, Islamic Azad University, Tehran, Iran.
[03] Mohammad Heydari, Department of Energy Engineering, Graduate school of the Environment and Energy, Science and Research Branch, Islamic Azad University, Tehran, Iran.
[04] Mohammadreza Torkamani, Faculty of New Science and Technologies, University of Tehran, Tehran, Iran.
[05] Mojtaba Nedaei, Department of Energy Engineering, Graduate school of the Environment and Energy, Science and Research Branch, Islamic Azad University, Tehran, Iran.
The purpose of this study is to evaluate the wind potential of Arak, located in the middle of Iran and to perform technical and economic assessment of utilizing an appropriate micro wind turbine based on the wind characteristics of the region. To achieve this aim, 10 years wind data in Arak was analyzed to determine wind energy potential using Weibull distribution function. It became clear that Weibull distribution was adequate for this study. Average of shape factor and scale factor are 4.31 and 5.19 respectively. The range of mean yearly wind speeds is obtained as 3.7 to 5.61 m/s at 10 m height. According to the characteristics of the understudied site, two wind turbines, SKYSTREAM3.7 and WHISPER500 were selected for power generation and then economic analysis was carried out. The results indicate that, WHISPER500 generates annual energy of 3975 kWh and internal rate of return for this turbine is 20.9% while these values for SKYSTREAM3.7 are 2961 kWh and 20.9%, respectively. According to the calculations, currently the wind power generation is not economically justified for Arak due to low returns of capital costs, but more supports from the government like devoting loans and considering the carbon credits can make the wind energy projects in Arak more viable.
Wind Energy, Weibull Function, Power Density, Micro Wind Turbine, Economic Evaluation
[01] American Wind Energy Association (AWEA),
[02] Manwell, J. F., McGowan, J. G., & Rogers, A. L. (2010). Wind energy explained: theory, design and application. John Wiley & Sons.
[03] Nedaei, M. (2014). Wind resource assessment in Hormozgan province in Iran. International Journal of Sustainable Energy, 33(3), 650-694.
[04] Drew, D. R., Barlow, J. F., Cockerill, T. T., &Vahdati, M. M. (2015). The importance of accurate wind resource assessment for evaluating the economic viability of small wind turbines. Renewable Energy, 77, 493-500.
[05] Shu, Z. R., Li, Q. S., & Chan, P. W. (2015). Investigation of offshore wind energy potential in Hong Kong based on Weibull distribution function. Applied Energy, 156, 362-373.
[06] Nedaei, M., Assareh, E., &Biglari, M. (2014). An extensive evaluation of wind resource using new methods and strategies for development and utilizing wind power in Mah-shahr station in Iran. Energy Conversion and Management, 81, 475-503.
[07] Bilir, L., İmir, M., Devrim, Y., &Albostan, A. (2015). An investigation on wind energy potential and small scale wind turbine performance at İncek region–Ankara, Turkey. Energy Conversion and Management, 103, 910-923.
[08] Weisser, D. (2003). A wind energy analysis of Grenada: an estimation using the ‘Weibull’ density function. Renewable Energy, 28(11), 1803-1812.
[09] Panda, R. K., Sarkar, T. K., & Bhattacharya, A. K. (1990). Stochastic study of the wind-energy potential of India. Energy, 15(10), 921-930.
[10] Ulgen, K., Genc, A., Hepbasli, A., & Oturanc, G. (2004). Assessment of wind characteristics for energy generation. Energy Sources, 26(13), 1227-1237.
[11] Renewable energy organization of Iran (SUNA),
[12] Mostafaeipour, A. (2010). Feasibility study of harnessing wind energy for turbine installation in province of Yazd in Iran. Renewable and Sustainable Energy Reviews, 14(1), 93-111.
[13] Meteorological organization of Iran.
[14] Masseran, N. (2015). Evaluating wind power density models and their statistical properties. Energy, 84, 533-541.
[15] Kantar, Y. M., & Usta, I. (2015). Analysis of the upper-truncated Weibull distribution for wind speed. Energy Conversion and Management, 96, 81-88.
[16] Ataei, A., Choi, J-K., & Nedaei, M. (2015). Evaluating the Potential of Wind Power in Orderto Electrify a Remote Village in South East of Iran. American Journal of Renewable and Sustainable Energy, 1(2), 58-65.
[17] Wang, J., Qin, S., Jin, S., & Wu, J. (2015). Estimation methods review and analysis of offshore extreme wind speeds and wind energy resources. Renewable and Sustainable Energy Reviews, 42, 26-42.
[18] Seguro, J. V., & Lambert, T. W. (2000). Modern estimation of the parameters of the Weibull wind speed distribution for wind energy analysis. Journal of Wind Engineering and Industrial Aerodynamics, 85(1), 75-84.
[19] Chang, T. J., Wu, Y. T., Hsu, H. Y., Chu, C. R., & Liao, C. M. (2003). Assessment of wind characteristics and wind turbine characteristics in Taiwan. Renewable energy, 28(6), 851-871.
[20] Justus, C. G., Hargraves, W. R., Mikhail, A., & Graber, D. (1978). Methods for estimating wind speed frequency distributions. Journal of applied meteorology, 17(3), 350-353.
[21] Johnson GL. Wind energy systems. USA: Prentice-Hall; 1985.
[22] Mostafaeipour, A., Sedaghat, A., Dehghan-Niri, A. A., & Kalantar, V. (2011). Wind energy feasibility study for city of Shahrbabak in Iran. Renewable and Sustainable Energy Reviews, 15(6), 2545-2556.
[23] Ataei, A., Biglari, M., Nedaei, M., Assareh, E., Choi, J.-K., Yoo, C. and Adaramola, M. S. (2015), Techno-economic feasibility study of autonomous hybrid wind and solar power systems for rural areas in Iran, A case study in Moheydar village. Environ. Prog. Sustainable Energy. doi: 10.1002/ep.12121
[24] 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.
[25] Jamil, M. (1994). Wind power statistics and evaluation of wind energy density. Wind Engineering, 18(5), 227-240.
[26] Persaud, S., Flynn, D., & Fox, B. (1999). Potential for wind generation on the Guyana coastlands. Renewable Energy, 18(2), 175-189.
[27] Anonymous. VESTAS. Products. Available from,; 2015.
[28] Hennessey Jr, J. P. (1977). Some aspects of wind power statistics. Journal of applied meteorology, 16(2), 119-128.
[29] Johnson GL. Wind energy systems. USA: Prentice-Hall; 1985.
[30] Morgan, V. T. (1995). Statistical distributions of wind parameters at Sydney, Australia. Renewable energy, 6(1), 39-47.
[31] Zhou, W., Yang, H., & Fang, Z. (2006). Wind power potential and characteristic analysis of the Pearl River Delta region, China. Renewable Energy, 31(6), 739-753.
[32] National photovoltaic construction partnership,
[33] Texas solar power company,
[34] Wang, J., Zhai, Z. J., Jing, Y., & Zhang, C. (2010). Particle swarm optimization for redundant building cooling heating and power system. Applied Energy, 87(12), 3668-3679.
MA 02210, USA
AIS is an academia-oriented and non-commercial institute aiming at providing users with a way to quickly and easily get the academic and scientific information.
Copyright © 2014 - American Institute of Science except certain content provided by third parties.