Potentiel énergétique éolien et profil de consommation d’énergie  dans le village Wouro Kessoum  Ngaoundéré Cameroun

Alphonse, Sadam; Bikaï, Jacques; Abraham, Tetang Fokone; Cesar, Kapseu

doi:10.54966/jreen.v23i1.34

Cited by 3 publications

(1 citation statement)

References 5 publications

(7 reference statements)

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“…The air density (in kilograms per cubic meter) at a given site is computed as the mass of a quantity of air (in kg) divided by its volume (in cubic meter). It depends on elevation above sea level and can be computed using Equation ( 15) [22,23].…”

Section: Evaluation Of the Wind Power Densitymentioning

confidence: 99%

Evaluation of the Wind Power Potential in the Northeast of Chad

et al. 2022

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Chad has done the study and development of renewable resources a priority in its energy mix. Wind energy is one of the renewable sources that can help Chad to develop rural areas and preserve the environment. This study presents from data obtained from NASA, the wind characteristics in Amdjarass, and Fada over thirty (30) years. The wind distribution density and energy potential at different heights were evaluated using the Weibull statistical analysis method. The aim of this paper is to evaluate the wind energy potential of two important sites in Chad. The study shows that over the 30 years, the mean annual wind speeds vary randomly between 4.7 m/s and 5.4 m/s over an average period of 2 years. Eight months of good average wind speeds were recorded, ranging from 5.01 m/s to 6.31 m/s at Amdjarass and 4.92 m/s to 5.70 m/s at Fada. The 04 months of low velocities observed are in the range of 3.211 m/s - 4.064 m/s at Amdjarass and 3.504 m/s - 4.516 m/s at Fada. The power density varies between 21.53 W/m2 and 111.89 W/m2 in Amdjarass, while in Fada, it varies from 19.85 W/m2 to 86.92 W/m2.

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Section: Evaluation Of the Wind Power Densitymentioning

confidence: 99%

Evaluation of the Wind Power Potential in the Northeast of Chad

et al. 2022

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Optimization PV/Batteries System: Application in Wouro Kessoum Village Ngaoundere Cameroon

Alphonse¹,

Bikaï²,

Kitmo³

et al. 2021

JPEE

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Allocation of Hybrid Distributed Generations and Energy Management in Radial Electrical Systems

Pierre¹,

Nisso²,

Diboma³

et al. 2022

SGRE

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This paper presents a method for optimal sizing of a Micro grid connected to a hybrid source to ensure the continuity and quality of energy in a locality with a stochastically changing population. The hybrid system is composed of a solar photovoltaic system, a wind turbine, and an energy storage system. The reliability of the system is evaluated based on the voltage level regulation on IEEE 33-bus and IEEE 69-bus standards. Power factor correction is performed, despite some reliability and robustness constraints. This work focuses on energy management in a hybrid system considering climatic disturbances on the one hand, and on the other hand, this work evaluates the energy quality and the cost of energy. A combination of genetic algorithms of particle swarm optimization (CGAPSO) shows high convergence speed, which illustrates the robustness of the proposed system. The study of this system shows its feasibility and compliance with standards. The results obtained show a significant reduction in the total cost of production of this proposed system.

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Potentiel énergétique éolien et profil de consommation d’énergie dans le village Wouro Kessoum Ngaoundéré Cameroun

Cited by 3 publications

References 5 publications

Evaluation of the Wind Power Potential in the Northeast of Chad

Evaluation of the Wind Power Potential in the Northeast of Chad

Optimization PV/Batteries System: Application in Wouro Kessoum Village Ngaoundere Cameroon

Allocation of Hybrid Distributed Generations and Energy Management in Radial Electrical Systems

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