Evaluation of the cost of producing wind-generated electricity in Chad

Abstract

This paper presents an economic analysis of the electricity produced by different types of wind turbines selected for Chad. Thus, the data considered for the analysis in this study are the average monthly wind speeds at selected locations, as well as the altitude value. Statistical analysis was performed using the Weibull distribution. The same energy factor allowed determining the Weibull parameters. The results obtained show that the average annual wind speed varies from 1 m/s in Am-Timan to 4.2 m/s in N'Djamena, at a height of 10 m from the ground. Weibull statistical parameters (k and c) were determined at 10, 30, 50, and 70 m. These were obtained by extrapolation using a power law based on Weibull parameters. Three models of wind turbines available on the market were used in this study: Bonus 300 kW/33, Bonus 1 MW/54, and Vestas 2 MW/V80. The performance of these wind turbines was evaluated using the calculation of the capacity factor and the annual energy produced by each type of wind turbine at 12 sites. The PVC (present value) method was used to perform an economic analysis. The lowest cost of wind power generation was obtained with the Vestas 2 MW/V80 model, with a cost per kilowatt-hour

Comparative Assessment of Numerical Techniques for Weibull Parameters’ Estimation and the Performance of Wind Energy Conversion Systems in Nigeria

“…The new wind speed (𝑉 ℎ ), scale factor (𝑐 ℎ ) and shape factor (𝑘 ℎ ) are given by Eqs. (18) to (20) by using a relevant power law equation, while Eq. ( 21) is employed to estimate the value of n [25]:…”

“…Soulouknga et al [18] evaluated the cost of generating wind-generated electricity in Chad. The work used the Wbl distribution for assessing the wind resource data obtained at an anemometer height of 10 m. The work also determined the Wbl statistical parameters (k and c) at different heights of 10, 30, 50, and 70 m. Belabes et al, [19] evaluated the wind potential and the cost of electricity by the WECSs for 6 different areas of the north of Algeria.…”

A Comparative Experimental Investigation of MPPT Controls for Variable Speed Wind Turbines

“…The wind energy takes an important class among these renewable energies [8][9][10][11]. It knows a high growth and use over the world in recent years [12][13][14][15][16][17]. A large installation capacity is noticed (733GW: onshore 698GW and 35GW offshore) and with an annual increase of 9% expected between 2021-2030 [18].…”

Spatio-temporal assessment and economic analysis of a grid-connected island province toward a 35% or greater domestic renewable energy portfolio: a case in Bohol, Philippines

“…[ 52 , 53 ] used the levelized production cost (LPC). Non-spatial studies also used similar cost metrics, such as the present value costs (PVC) [ 54 ] or both LCOE and PVC [ 55 ]. Our study used the LCOE, the estimated amount of money incurred for any particular energy-generating project to produce a standard amount of electricity over its expected lifetime [ 56 ], to generate the supply curves from which our RE portfolio analysis is based.…”