Comparison of Two Methods for Optimizing the Electricity Production Cost for Rural Electrification: Case of PV/Biogas Generator Hybrid Power Plant in Burkina Faso

Moussa Tissologo; Seydou Ouedraogo; Ratousiri Arnaud Abdel Aziz Valea; Fréderic Ouattara; Ayité Senah Akoda Ajavon

doi:doi:10.11648/j.ijepe.20221102.14

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Comparison of Two Methods for Optimizing the Electricity Production Cost for Rural Electrification: Case of PV/Biogas Generator Hybrid Power Plant in Burkina Faso

Moussa Tissologo, Seydou Ouedraogo, Ratousiri Arnaud Abdel Aziz Valea, Fréderic Ouattara, Ayité Senah Akoda Ajavon

Published in International Journal of Energy and Power Engineering (Volume 11, Issue 2)

Received: 23 March 2022 Accepted: 18 April 2022 Published: 25 April 2022

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Abstract

In fossil fuels depletion and climate change context, converting renewable energies into electricity is an asset for the electrification in West Africa rural areas. However, the massive production of electricity from renewable energies still comes up against a high cost per kWh of electricity produced. The optimization method choice is essential in the feasibility study of electrification projects with a view to achieve a cost per kWh of electricity that is bearable for both, the users and the project implementation structure. In this study, the optimization methods of genetic algorithm and that of the Homer software are compared in order to determine which is the best for the production cost optimization of an hybrid power plant at the Dori site, located in the Sahelian zone of Burkina Faso, in West Africa. The electricity production cost optimization on this site, by the two methods showed that the genetic algorithm method is the best indicated with kWh cost of $0.589 against a kWh cost of $0.620 for the Homer software. With both methods, the amount of CO₂ equivalent avoided from being emitted into the atmosphere is the same, i.e. 161127 tons per year. The genetic algorithm optimization method is best suited for the study of rural electrification projects in the Sahelian zone of Burkina Faso.

Published in	International Journal of Energy and Power Engineering (Volume 11, Issue 2)
DOI	10.11648/j.ijepe.20221102.14
Page(s)	47-55
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), 2024. Published by Science Publishing Group

Keywords

Hybrid Power Plant, Renewable Energies, Electricity, Optimization

References

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APA Style

Moussa Tissologo, Seydou Ouedraogo, Ratousiri Arnaud Abdel Aziz Valea, Fréderic Ouattara, Ayité Senah Akoda Ajavon. (2022). Comparison of Two Methods for Optimizing the Electricity Production Cost for Rural Electrification: Case of PV/Biogas Generator Hybrid Power Plant in Burkina Faso. International Journal of Energy and Power Engineering, 11(2), 47-55. https://doi.org/10.11648/j.ijepe.20221102.14

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ACS Style

Moussa Tissologo; Seydou Ouedraogo; Ratousiri Arnaud Abdel Aziz Valea; Fréderic Ouattara; Ayité Senah Akoda Ajavon. Comparison of Two Methods for Optimizing the Electricity Production Cost for Rural Electrification: Case of PV/Biogas Generator Hybrid Power Plant in Burkina Faso. Int. J. Energy Power Eng. 2022, 11(2), 47-55. doi: 10.11648/j.ijepe.20221102.14

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AMA Style

Moussa Tissologo, Seydou Ouedraogo, Ratousiri Arnaud Abdel Aziz Valea, Fréderic Ouattara, Ayité Senah Akoda Ajavon. Comparison of Two Methods for Optimizing the Electricity Production Cost for Rural Electrification: Case of PV/Biogas Generator Hybrid Power Plant in Burkina Faso. Int J Energy Power Eng. 2022;11(2):47-55. doi: 10.11648/j.ijepe.20221102.14

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@article{10.11648/j.ijepe.20221102.14,
  author = {Moussa Tissologo and Seydou Ouedraogo and Ratousiri Arnaud Abdel Aziz Valea and Fréderic Ouattara and Ayité Senah Akoda Ajavon},
  title = {Comparison of Two Methods for Optimizing the Electricity Production Cost for Rural Electrification: Case of PV/Biogas Generator Hybrid Power Plant in Burkina Faso},
  journal = {International Journal of Energy and Power Engineering},
  volume = {11},
  number = {2},
  pages = {47-55},
  doi = {10.11648/j.ijepe.20221102.14},
  url = {https://doi.org/10.11648/j.ijepe.20221102.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijepe.20221102.14},
  abstract = {In fossil fuels depletion and climate change context, converting renewable energies into electricity is an asset for the electrification in West Africa rural areas. However, the massive production of electricity from renewable energies still comes up against a high cost per kWh of electricity produced. The optimization method choice is essential in the feasibility study of electrification projects with a view to achieve a cost per kWh of electricity that is bearable for both, the users and the project implementation structure. In this study, the optimization methods of genetic algorithm and that of the Homer software are compared in order to determine which is the best for the production cost optimization of an hybrid power plant at the Dori site, located in the Sahelian zone of Burkina Faso, in West Africa. The electricity production cost optimization on this site, by the two methods showed that the genetic algorithm method is the best indicated with kWh cost of $0.589 against a kWh cost of $0.620 for the Homer software. With both methods, the amount of CO2 equivalent avoided from being emitted into the atmosphere is the same, i.e. 161127 tons per year. The genetic algorithm optimization method is best suited for the study of rural electrification projects in the Sahelian zone of Burkina Faso.},
 year = {2022}
}

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TY  - JOUR
T1  - Comparison of Two Methods for Optimizing the Electricity Production Cost for Rural Electrification: Case of PV/Biogas Generator Hybrid Power Plant in Burkina Faso
AU  - Moussa Tissologo
AU  - Seydou Ouedraogo
AU  - Ratousiri Arnaud Abdel Aziz Valea
AU  - Fréderic Ouattara
AU  - Ayité Senah Akoda Ajavon
Y1  - 2022/04/25
PY  - 2022
N1  - https://doi.org/10.11648/j.ijepe.20221102.14
DO  - 10.11648/j.ijepe.20221102.14
T2  - International Journal of Energy and Power Engineering
JF  - International Journal of Energy and Power Engineering
JO  - International Journal of Energy and Power Engineering
SP  - 47
EP  - 55
PB  - Science Publishing Group
SN  - 2326-960X
UR  - https://doi.org/10.11648/j.ijepe.20221102.14
AB  - In fossil fuels depletion and climate change context, converting renewable energies into electricity is an asset for the electrification in West Africa rural areas. However, the massive production of electricity from renewable energies still comes up against a high cost per kWh of electricity produced. The optimization method choice is essential in the feasibility study of electrification projects with a view to achieve a cost per kWh of electricity that is bearable for both, the users and the project implementation structure. In this study, the optimization methods of genetic algorithm and that of the Homer software are compared in order to determine which is the best for the production cost optimization of an hybrid power plant at the Dori site, located in the Sahelian zone of Burkina Faso, in West Africa. The electricity production cost optimization on this site, by the two methods showed that the genetic algorithm method is the best indicated with kWh cost of $0.589 against a kWh cost of $0.620 for the Homer software. With both methods, the amount of CO2 equivalent avoided from being emitted into the atmosphere is the same, i.e. 161127 tons per year. The genetic algorithm optimization method is best suited for the study of rural electrification projects in the Sahelian zone of Burkina Faso.
VL  - 11
IS  - 2
ER  -

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Author Information

Moussa Tissologo

Electrical Engineering Department, University Institute of Technology, Norbert Zongo University, Koudougou, Burkina Faso
Seydou Ouedraogo

Electrical Engineering Department, University Institute of Technology, Nazi Boni University, Bobo-Dioulasso, Burkina Faso
Ratousiri Arnaud Abdel Aziz Valea

Electrical Engineering Department, Burkina Institute of Technology (BIT), Koudougou, Burkina Faso
Fréderic Ouattara

Department of Physics, Science and Technology Training and Research Unit, Norbert Zongo University, Koudougou, Burkina Faso
Ayité Senah Akoda Ajavon

Electrical Engineering Department, National School of Engineers, University of Lomé, Lomé, Togo

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APA Style

Moussa Tissologo, Seydou Ouedraogo, Ratousiri Arnaud Abdel Aziz Valea, Fréderic Ouattara, Ayité Senah Akoda Ajavon. (2022). Comparison of Two Methods for Optimizing the Electricity Production Cost for Rural Electrification: Case of PV/Biogas Generator Hybrid Power Plant in Burkina Faso. International Journal of Energy and Power Engineering, 11(2), 47-55. https://doi.org/10.11648/j.ijepe.20221102.14

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ACS Style

Moussa Tissologo; Seydou Ouedraogo; Ratousiri Arnaud Abdel Aziz Valea; Fréderic Ouattara; Ayité Senah Akoda Ajavon. Comparison of Two Methods for Optimizing the Electricity Production Cost for Rural Electrification: Case of PV/Biogas Generator Hybrid Power Plant in Burkina Faso. Int. J. Energy Power Eng. 2022, 11(2), 47-55. doi: 10.11648/j.ijepe.20221102.14

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AMA Style

Moussa Tissologo, Seydou Ouedraogo, Ratousiri Arnaud Abdel Aziz Valea, Fréderic Ouattara, Ayité Senah Akoda Ajavon. Comparison of Two Methods for Optimizing the Electricity Production Cost for Rural Electrification: Case of PV/Biogas Generator Hybrid Power Plant in Burkina Faso. Int J Energy Power Eng. 2022;11(2):47-55. doi: 10.11648/j.ijepe.20221102.14

Copy | Download

@article{10.11648/j.ijepe.20221102.14,
  author = {Moussa Tissologo and Seydou Ouedraogo and Ratousiri Arnaud Abdel Aziz Valea and Fréderic Ouattara and Ayité Senah Akoda Ajavon},
  title = {Comparison of Two Methods for Optimizing the Electricity Production Cost for Rural Electrification: Case of PV/Biogas Generator Hybrid Power Plant in Burkina Faso},
  journal = {International Journal of Energy and Power Engineering},
  volume = {11},
  number = {2},
  pages = {47-55},
  doi = {10.11648/j.ijepe.20221102.14},
  url = {https://doi.org/10.11648/j.ijepe.20221102.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijepe.20221102.14},
  abstract = {In fossil fuels depletion and climate change context, converting renewable energies into electricity is an asset for the electrification in West Africa rural areas. However, the massive production of electricity from renewable energies still comes up against a high cost per kWh of electricity produced. The optimization method choice is essential in the feasibility study of electrification projects with a view to achieve a cost per kWh of electricity that is bearable for both, the users and the project implementation structure. In this study, the optimization methods of genetic algorithm and that of the Homer software are compared in order to determine which is the best for the production cost optimization of an hybrid power plant at the Dori site, located in the Sahelian zone of Burkina Faso, in West Africa. The electricity production cost optimization on this site, by the two methods showed that the genetic algorithm method is the best indicated with kWh cost of $0.589 against a kWh cost of $0.620 for the Homer software. With both methods, the amount of CO2 equivalent avoided from being emitted into the atmosphere is the same, i.e. 161127 tons per year. The genetic algorithm optimization method is best suited for the study of rural electrification projects in the Sahelian zone of Burkina Faso.},
 year = {2022}
}

Copy | Download

TY  - JOUR
T1  - Comparison of Two Methods for Optimizing the Electricity Production Cost for Rural Electrification: Case of PV/Biogas Generator Hybrid Power Plant in Burkina Faso
AU  - Moussa Tissologo
AU  - Seydou Ouedraogo
AU  - Ratousiri Arnaud Abdel Aziz Valea
AU  - Fréderic Ouattara
AU  - Ayité Senah Akoda Ajavon
Y1  - 2022/04/25
PY  - 2022
N1  - https://doi.org/10.11648/j.ijepe.20221102.14
DO  - 10.11648/j.ijepe.20221102.14
T2  - International Journal of Energy and Power Engineering
JF  - International Journal of Energy and Power Engineering
JO  - International Journal of Energy and Power Engineering
SP  - 47
EP  - 55
PB  - Science Publishing Group
SN  - 2326-960X
UR  - https://doi.org/10.11648/j.ijepe.20221102.14
AB  - In fossil fuels depletion and climate change context, converting renewable energies into electricity is an asset for the electrification in West Africa rural areas. However, the massive production of electricity from renewable energies still comes up against a high cost per kWh of electricity produced. The optimization method choice is essential in the feasibility study of electrification projects with a view to achieve a cost per kWh of electricity that is bearable for both, the users and the project implementation structure. In this study, the optimization methods of genetic algorithm and that of the Homer software are compared in order to determine which is the best for the production cost optimization of an hybrid power plant at the Dori site, located in the Sahelian zone of Burkina Faso, in West Africa. The electricity production cost optimization on this site, by the two methods showed that the genetic algorithm method is the best indicated with kWh cost of $0.589 against a kWh cost of $0.620 for the Homer software. With both methods, the amount of CO2 equivalent avoided from being emitted into the atmosphere is the same, i.e. 161127 tons per year. The genetic algorithm optimization method is best suited for the study of rural electrification projects in the Sahelian zone of Burkina Faso.
VL  - 11
IS  - 2
ER  -

Copy | Download