Open Access Open Access  Restricted Access Subscription Access

Techno- Economic Assessment of Wind Power Potential of Abuloma Community Using Two-Parameter Weibull Distribution

W. Ikonwa, C. O. Ahiakwo, S. L. Braide, H. N. Amadi

Abstract


The goal of this project is to evaluate the wind characteristics, wind power potential, and wind turbines' economic viability for generating electricity in the Nigerian village of Abuloma. The wind power density, yearly energy production, and capacity factors at 80 meters above sea level have all been determined using the site's wind data. The Weibull parameters were obtained using the energy pattern factor method. Additionally, a cost analysis per megawatt-hour of energy has been completed. Using wind speed data at 80 meters, the site-specific wind shear coefficient is determined to be 0.592. At a height of 80 meters, the yearly mean wind speed was 7.79 m/s. At 80 meters above sea level, the mean wind energy and power densities were 297.21 W/m2 and 216.96 kWh/m2, respectively. The Vestas V100-1.8 Wind Turbine Generator (WTG) was recommended for the establishment of a wind farm at this location based on the economic evaluation. This is due to its high energy output and lower cost of energy production, which is 51.99 $/MWh. The findings demonstrate the suitability of the approach for evaluating wind speed and economic evaluation at the most affordable energy price. According to the wind resource analysis, there is a significant likelihood that wind farms will be built in the village of Abuloma.


Full Text:

PDF

References


Zahid, H. H., Wei, J., Rehman, S. (2019). Techno - Economic assessment of wind power potential of Hawke's Bay using Weibull parameter: A review. Energy Reviews, pp. 1-13.

J.B. Gupta (2013). S. K. Katara & Sons, Publisher of Engineering and Computer Books, New Delhi.

Wais, P. (2017). A review of Weibull functions in wind sector, Renew. Sustain. Energy Reviews, pp.1099–1107.

Wais, P. (2017). Two and three-parameter Weibull distribution in available wind power analysis, Renew. Energy 103, pp.15–29.

Aukitino, T., Khan, M. Ahmed, M. R. (2017). Wind energy resource assessment for Kiribati with a comparison of different methods of determining Weibull parameters, Energy Convers. Manag. pp. 641–660.

Z.H. Hulio, W. Jiang, S. Rehman, Technical and economic assessment of wind power potential of Nooriabad, Pakistan, Energy Sustain. Soc. 7 (2017) 35.

V. Katinas, M. Marčiukaitis, G. Gecevičius, A. Markevičius, Statistical analysis of wind characteristics based on Weibull methods for estimation of power generation in Lithuania, Renew. Energy 113 (C) (2017) 190–201.

A. Ucar, F. Balo, Evaluation of wind energy potential and electricity generation at six locations in Turkey, Appl. Energy 86 (2009) 1864–1872.

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, 188-201.

Ayodele, T.R., Ogunjuyigbe, A.S.O. & Amusan, T.O. (2018). Techno-economic analysis of utilizing wind energy for water pumping in some selected communities of Oyo State, Nigeria. Renew. Sustain. Energy Rev., 91, 335–343.


Refbacks

  • There are currently no refbacks.