The aim of this work was to make a technical and economic assessment of the wind potential of two cities in the Republic of Chad. With this in mind, start with the different parameters related to wind, such as mathematical modeling of wind frequency distribution: weibull distribution and then the processing and numerical simulation of wind data collected for 24 months every 30 minutes, in order to provide predictions at the two sites in Chad. Then evaluate its wind potential, its prediction of the electrical energy produced while taking into account the obstacles surrounding the collection site in order to map the resource available in favorable areas. Weibull's parameters for the site are 4.2 m/s and 1.44 at N'Djamena, while at Faya 6.2 m/s and 1.69 respectively, which means that wind speeds vary at both sites. Roughness, wind profile and topography determine the location of wind turbines. Electricity is generated once the wind turbine is installed. It appears that at 100 m in height, the average wind speed and wind energy density are 7.40 m/s and 746 W/m2 respectively in N'Djamena, while in Faya at identified favourable sites, they are 16.4 m/s and 4414 W/m2 respectively. Annual Net energy production is 5.068 GWh in N'Djamena, while Faya is 9.316 GWh. The roto-dynamic pump at an annual rate of 4.577 m3/h. The expected volume of water is 20,417 m3, which would serve approximately 1.655 people per year. For a date palm crop, the annual water need is in the range of 15.000 to 20.000l/ha. KWh's costs for the N'Djamena and Faya wind power plants are 0.097$/KWh and 0.067 $/KWh, respectively.
| Published in | International Journal of Sustainable and Green Energy (Volume 11, Issue 3) |
| DOI | 10.11648/j.ijrse.20221103.12 |
| Page(s) | 58-65 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2022. Published by Science Publishing Group |
Wind Turbine, Energy Conversion, WAsP, RETScreen, TCHAD
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APA Style
Mahamat Adoum Abdraman, Abakar Mahamat Tahir, Justin Tégawendé Zaida, Ruben Mouangue. (2022). Technical-economic Analysis of Eolien Potential and Application to Date Palm at the Two Sites of the Republic of Chad. International Journal of Sustainable and Green Energy, 11(3), 58-65. https://doi.org/10.11648/j.ijrse.20221103.12
ACS Style
Mahamat Adoum Abdraman; Abakar Mahamat Tahir; Justin Tégawendé Zaida; Ruben Mouangue. Technical-economic Analysis of Eolien Potential and Application to Date Palm at the Two Sites of the Republic of Chad. Int. J. Sustain. Green Energy 2022, 11(3), 58-65. doi: 10.11648/j.ijrse.20221103.12
AMA Style
Mahamat Adoum Abdraman, Abakar Mahamat Tahir, Justin Tégawendé Zaida, Ruben Mouangue. Technical-economic Analysis of Eolien Potential and Application to Date Palm at the Two Sites of the Republic of Chad. Int J Sustain Green Energy. 2022;11(3):58-65. doi: 10.11648/j.ijrse.20221103.12
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author = {Mahamat Adoum Abdraman and Abakar Mahamat Tahir and Justin Tégawendé Zaida and Ruben Mouangue},
title = {Technical-economic Analysis of Eolien Potential and Application to Date Palm at the Two Sites of the Republic of Chad},
journal = {International Journal of Sustainable and Green Energy},
volume = {11},
number = {3},
pages = {58-65},
doi = {10.11648/j.ijrse.20221103.12},
url = {https://doi.org/10.11648/j.ijrse.20221103.12},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijrse.20221103.12},
abstract = {The aim of this work was to make a technical and economic assessment of the wind potential of two cities in the Republic of Chad. With this in mind, start with the different parameters related to wind, such as mathematical modeling of wind frequency distribution: weibull distribution and then the processing and numerical simulation of wind data collected for 24 months every 30 minutes, in order to provide predictions at the two sites in Chad. Then evaluate its wind potential, its prediction of the electrical energy produced while taking into account the obstacles surrounding the collection site in order to map the resource available in favorable areas. Weibull's parameters for the site are 4.2 m/s and 1.44 at N'Djamena, while at Faya 6.2 m/s and 1.69 respectively, which means that wind speeds vary at both sites. Roughness, wind profile and topography determine the location of wind turbines. Electricity is generated once the wind turbine is installed. It appears that at 100 m in height, the average wind speed and wind energy density are 7.40 m/s and 746 W/m2 respectively in N'Djamena, while in Faya at identified favourable sites, they are 16.4 m/s and 4414 W/m2 respectively. Annual Net energy production is 5.068 GWh in N'Djamena, while Faya is 9.316 GWh. The roto-dynamic pump at an annual rate of 4.577 m3/h. The expected volume of water is 20,417 m3, which would serve approximately 1.655 people per year. For a date palm crop, the annual water need is in the range of 15.000 to 20.000l/ha. KWh's costs for the N'Djamena and Faya wind power plants are 0.097$/KWh and 0.067 $/KWh, respectively.},
year = {2022}
}
TY - JOUR T1 - Technical-economic Analysis of Eolien Potential and Application to Date Palm at the Two Sites of the Republic of Chad AU - Mahamat Adoum Abdraman AU - Abakar Mahamat Tahir AU - Justin Tégawendé Zaida AU - Ruben Mouangue Y1 - 2022/11/11 PY - 2022 N1 - https://doi.org/10.11648/j.ijrse.20221103.12 DO - 10.11648/j.ijrse.20221103.12 T2 - International Journal of Sustainable and Green Energy JF - International Journal of Sustainable and Green Energy JO - International Journal of Sustainable and Green Energy SP - 58 EP - 65 PB - Science Publishing Group SN - 2575-1549 UR - https://doi.org/10.11648/j.ijrse.20221103.12 AB - The aim of this work was to make a technical and economic assessment of the wind potential of two cities in the Republic of Chad. With this in mind, start with the different parameters related to wind, such as mathematical modeling of wind frequency distribution: weibull distribution and then the processing and numerical simulation of wind data collected for 24 months every 30 minutes, in order to provide predictions at the two sites in Chad. Then evaluate its wind potential, its prediction of the electrical energy produced while taking into account the obstacles surrounding the collection site in order to map the resource available in favorable areas. Weibull's parameters for the site are 4.2 m/s and 1.44 at N'Djamena, while at Faya 6.2 m/s and 1.69 respectively, which means that wind speeds vary at both sites. Roughness, wind profile and topography determine the location of wind turbines. Electricity is generated once the wind turbine is installed. It appears that at 100 m in height, the average wind speed and wind energy density are 7.40 m/s and 746 W/m2 respectively in N'Djamena, while in Faya at identified favourable sites, they are 16.4 m/s and 4414 W/m2 respectively. Annual Net energy production is 5.068 GWh in N'Djamena, while Faya is 9.316 GWh. The roto-dynamic pump at an annual rate of 4.577 m3/h. The expected volume of water is 20,417 m3, which would serve approximately 1.655 people per year. For a date palm crop, the annual water need is in the range of 15.000 to 20.000l/ha. KWh's costs for the N'Djamena and Faya wind power plants are 0.097$/KWh and 0.067 $/KWh, respectively. VL - 11 IS - 3 ER -
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