Majid Vafaeipour, Mohammad H. Valizadeh, Omid Rahbari, Mahsa Keshavarz Eshkalag

Statistical analysis of wind and solar energy potential in Tehran

Knowing the potential of wind and solar energy resources is vital to determine significant information of sizing, installing and implementation of renewable energy systems in a given region. The present study identifies wind and solar energy properties of a studied area located in Tehran, Iran, using input meteorological data measured for one year period provided by the Iran Renewable Energy Organization from a ground station, Letman Jungle. Many prior studies are limited in using average wind speed without classification of the resource. However, the present paper adopts the random fluctuations of wind speed data for classification purpose. Furthermore, it utilizes a temperature-based method to estimate solar energy potential of the region. In this regard, daily and monthly average amounts of global solar irradiation on horizontal surface are calculated all around a year. Regarding wind energy resource properties, the most probable wind speed and its direction, the velocity which carries the maximum energy, the average wind power density, and the wind energy density of the region are all calculated and discussed. Investigation of the results indicates harnessing solar energy would be more favourable for the studied region.

Keywords:

Energy resource, Wind energy potential Solar energy potential, Wind power density, Weibull distribution, Temperature-based method,

PDF

___

M. S. H. Lipu, M. S. Uddin, and M. A. R. Miah, "A Feasibility Study of Solar-Wind-Diesel Hybrid System in Rural and Remote Areas of Bangladesh," International Journal of Renewable Energy Research (IJRER), vol. 3, pp. 892-900, 2013.
F. Fazelpour, M. Vafaeipour, O. Rahbari, and R. Shirmohammadi, "Considerable parameters of using PV cells for solar-powered aircrafts," Renewable and Sustainable Energy Reviews, vol. 22, pp. 81-91, 2013.
M. Vafaeipour, O. Rahbari, M. A. Rosen, F. Fazelpour, and P. Ansarirad, "An artificial neural network approach to predict wind velocity time-series in Tehran," in The 5th International Congress of Energy and Environment Engineering and Management, Lisbon, 2013.
"REN21. Renewables Global Status Report," 2011.
J. N. Kamau, R. Kinyua, and J. K. Gathua, "6 years of wind data for Marsabit, Kenya average over 14m/s at 100m hub height; An analysis of the wind energy potential," Renewable Energy, vol. 35, pp. 1298-1302, 2010.
B. Safari and J. Gasore, "A statistical investigation of wind characteristics and wind energy potential based on the Weibull and Rayleigh models in Rwanda," Renewable Energy, vol. 35, pp. 2874-2880, 2010.
I. Y. F. Lun and J. C. Lam, "A study of Weibull long-term parameters
Renewable Energy, vol. 20, pp. 145-153, 2000. wind
observations," [8] D. Weisser, "A wind energy analysis of Grenada: an estimation using the ‘Weibull’ density function," Renewable Energy, vol. 28, pp. 1803-1812, 2003.
S. A. Akdağ, H S Bagiorgas, and G Mihalakakou, "Use of two-component Weibull mixtures in the analysis of wind speed in the Eastern Mediterranean," Applied Energy, vol. 87, pp. 2566-2573, 2010. [10]
T. V. Ramachandra and B. V. Shruthi, "Wind energy potential mapping in Karnataka, India, using GIS," Energy Conversion and Management, vol. 46, pp. 1561-1578, 2005. [11]
B. Sliz-Szkliniarz and J. Vogt, "GIS-based approach for the evaluation of wind energy potential: A case study for the Kujawsko–Pomorskie Voivodeship," Renewable and Sustainable Energy Reviews, vol. 15, pp. 1696-1707, 2011. [12]
P. A. Costa Rocha, R. C. de Sousa, C. F. de Andrade, and M. E. V. da Silva, "Comparison of seven numerical methods for determining Weibull parameters for wind energy generation in the northeast region of Brazil," Applied Energy, vol. 89, pp. 395-400, 2012. [13]
F. Fazelpour, M. Vafaeipour, O. Rahbari, and M. A. Rosen, "Intelligent optimization to integrate a plug-in hybrid electric vehicle smart parking lot with renewable energy resources and enhance grid characteristics," Energy Conversion and Management, vol. 77, pp. 250- 261, 2014. [14]
F. Fazelpour, M. Vafaeipour, O. Rahbari, and M. A. Rosen, "Intelligent optimization of charge allocation for plug-in hybrid electric vehicles utilizing renewable energy considering grid characteristics," in Smart Energy Grid Engineering (SEGE), 2013 IEEE International Conference on, 2013, pp. 1-8. [15]
R. G. Allen, "Self-calibrating method for estimating solar radiation from air temperature. ," Hydrology Engineering vol. 2, pp. 56-67, 1997. [16]
A. David and N. R. Ngwa, "Global Solar Radiation of some regions of Cameroon using the linear Angstrom and non-linear polynomial relations (Part I) model development," International Journal of Renewable Energy Research (IJRER), vol. 3, pp. 984-992, 2013. [17]
F. Fazelpourl, M. Vafaeipour, O. Rahbaril, and M. H. Valizadehz, "Assessment of solar radiation potential for different cities in Iran using a temperature-based method," Sustainability in Energy and Buildings: Proceedings of the 4th International Conference in Sustainability in Energy and Buildings (SEB12), vol. 22, pp. 199-208, 2013. [18]
S. Raissi and M. Kariminasab, Computer Aided Mathematical Modeling vol. 1. Tehran: Islamic Azad University-South Tehran Branch, 2006. [19]
O. Rahbari, M. Vafaeipour, F. Fazelpour, M. Feidt, and M. A. Rosen, "Towards realistic designs of wind farm layouts: Application of a novel placement selector approach," Energy Conversion and Management, vol. 81, pp. 242-254, 2014. [20]
M. Vafaeipour, O. Rahbari, M. A. Rosen, Fazelpour, Farivar, and S. M. Heibati, "Optimal sizing of a hybrid energy system for a semi-arid climate using an evolutionary
Renewable Energy Technology, 2013. International Journal of [21]
G. H. Hargreaves and Z. A. Samani, "Reference crop evapotranspiration From ambient air temperature," presented at the International Irrigation Center, winter meeting, American society of agricultural engineers, UT, USA, 1985. [22]
R. G. Allen, "Evaluation of procedures for estimating mean monthly solar radiation from air temperature," presented at the Rep, (FAO) Rome, Italy, 1995. [23]
R. D. Burman, M. Jensen, and R. G. Allen, "Thermodynamic factors in evapotranspiration," in Irrigation and Drainage Specialty Conference, ASCE, Portland, Ore, 1987 pp. 28-30. [24]
A. Garrad, "Wind energy in Europe: a plan of action, summary report of wind energy in Europe—time for action " The European Wind Energy Association1991. [25]
A. Mostafaeipour, A. Sedaghat, A. A. Dehghan- Niri, and V. Kalantar, "Wind energy feasibility study for city of Shahrbabak in Iran," Renewable and Sustainable Energy Reviews, vol. 15, pp. 2545-2556, 2011.