Sizing and Simulation of a Photovoltaic Hybrid Energy System and Generator for the Electricity Supply of the Residence of the Governor of Mamou, Guinea

Ansoumane Sakouvogui; Nene Aissata Balde; Yacouba Camara; Saidou Barry; Elhadj Ousmane Camara; Thierno Amadou Barry

doi:doi:10.11648/j.ijrse.20241301.11

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Sizing and Simulation of a Photovoltaic Hybrid Energy System and Generator for the Electricity Supply of the Residence of the Governor of Mamou, Guinea

Ansoumane Sakouvogui^*, Nene Aissata Balde, Yacouba Camara, Saidou Barry, Elhadj Ousmane Camara, Thierno Amadou Barry

Published in International Journal of Sustainable and Green Energy (Volume 13, Issue 1)

Received: 20 December 2023 Accepted: 2 January 2024 Published: 18 January 2024

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Abstract

The optimization sizing model of hybrid renewable energy systems is a model that applies to micro-energy and makes it possible to simplify the design and implementation of electrical energy projects in isolated areas of large distribution networks and can be interconnected. The objective of this work is the optimal sizing and simulation on HOMER (Hybrid Optimization Model for Electrical Renewable) software of a hybrid photovoltaic system and generator for the electricity supply of the residence of the governor of Mamou. The methodology followed to estimate the electrical loads of the residence, categorizing them in two ways (low consumers and high energy consumers). The field survey made it possible to know the average temperatures and average irradiations of the site. The dimensioning of the photovoltaic field was initially carried out using analytical formulas. The characteristics of the field elements were also determined. The choice of group was made on the basis of the total load of the residence. Finally, the HOMER software made it possible to carry out optimal sizing and simulation of certain parameters. The main results obtained relate to: the meteorological characteristics of the site (temperature and irradiation). The temperature varies from 23.10°C to 30.30°C with an average of 25.86°C. Irradiation varies from 4.68 kWh/m²d to 6.76 kWh/m²d from August to April with an average of 5.54 kWh/m2d. The elements of the hybrid system are: 20 panels of 260 Wp, for an installed power of 5200 Wp; 8220 Ah batteries, for an installed capacity of 1760 Ah; two (2) converters (Sunny boy and Sunny island) with a power of 84 kW each and a 10 kVA generator. The annual production of electrical energy of the entire hybrid system is thus 39.393 kWh. Including 18.113 kWh for the generator, i.e. 46%, and 21.28 kWh for the photovoltaic system, 54%. The investment cost of the system is estimated at 192420600 FG. The results obtained show that the use of renewable energy sources such as solar coupled with thermal remains the best optimal solution for providing electrical energy to isolated areas.

Published in	International Journal of Sustainable and Green Energy (Volume 13, Issue 1)
DOI	10.11648/j.ijrse.20241301.11
Page(s)	1-7
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 System, Photovoltaic, Generator, HOMER

References

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Sakouvogui, A., Balde, N. A., Camara, Y., Barry, S., Camara, E. O., et al. (2024). Sizing and Simulation of a Photovoltaic Hybrid Energy System and Generator for the Electricity Supply of the Residence of the Governor of Mamou, Guinea. International Journal of Sustainable and Green Energy, 13(1), 1-7. https://doi.org/10.11648/j.ijrse.20241301.11

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ACS Style

Sakouvogui, A.; Balde, N. A.; Camara, Y.; Barry, S.; Camara, E. O., et al. Sizing and Simulation of a Photovoltaic Hybrid Energy System and Generator for the Electricity Supply of the Residence of the Governor of Mamou, Guinea. Int. J. Sustain. Green Energy 2024, 13(1), 1-7. doi: 10.11648/j.ijrse.20241301.11

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AMA Style

Sakouvogui A, Balde NA, Camara Y, Barry S, Camara EO, et al. Sizing and Simulation of a Photovoltaic Hybrid Energy System and Generator for the Electricity Supply of the Residence of the Governor of Mamou, Guinea. Int J Sustain Green Energy. 2024;13(1):1-7. doi: 10.11648/j.ijrse.20241301.11

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@article{10.11648/j.ijrse.20241301.11,
  author = {Ansoumane Sakouvogui and Nene Aissata Balde and Yacouba Camara and Saidou Barry and Elhadj Ousmane Camara and Thierno Amadou Barry},
  title = {Sizing and Simulation of a Photovoltaic Hybrid Energy System and Generator for the Electricity Supply of the Residence of the Governor of Mamou, Guinea},
  journal = {International Journal of Sustainable and Green Energy},
  volume = {13},
  number = {1},
  pages = {1-7},
  doi = {10.11648/j.ijrse.20241301.11},
  url = {https://doi.org/10.11648/j.ijrse.20241301.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijrse.20241301.11},
  abstract = {The optimization sizing model of hybrid renewable energy systems is a model that applies to micro-energy and makes it possible to simplify the design and implementation of electrical energy projects in isolated areas of large distribution networks and can be interconnected. The objective of this work is the optimal sizing and simulation on HOMER (Hybrid Optimization Model for Electrical Renewable) software of a hybrid photovoltaic system and generator for the electricity supply of the residence of the governor of Mamou. The methodology followed to estimate the electrical loads of the residence, categorizing them in two ways (low consumers and high energy consumers). The field survey made it possible to know the average temperatures and average irradiations of the site. The dimensioning of the photovoltaic field was initially carried out using analytical formulas. The characteristics of the field elements were also determined. The choice of group was made on the basis of the total load of the residence. Finally, the HOMER software made it possible to carry out optimal sizing and simulation of certain parameters. The main results obtained relate to: the meteorological characteristics of the site (temperature and irradiation). The temperature varies from 23.10°C to 30.30°C with an average of 25.86°C. Irradiation varies from 4.68 kWh/m²d to 6.76 kWh/m²d from August to April with an average of 5.54 kWh/m2d. The elements of the hybrid system are: 20 panels of 260 Wp, for an installed power of 5200 Wp; 8220 Ah batteries, for an installed capacity of 1760 Ah; two (2) converters (Sunny boy and Sunny island) with a power of 84 kW each and a 10 kVA generator. The annual production of electrical energy of the entire hybrid system is thus 39.393 kWh. Including 18.113 kWh for the generator, i.e. 46%, and 21.28 kWh for the photovoltaic system, 54%. The investment cost of the system is estimated at 192420600 FG. The results obtained show that the use of renewable energy sources such as solar coupled with thermal remains the best optimal solution for providing electrical energy to isolated areas.
},
 year = {2024}
}

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TY - JOUR
T1 - Sizing and Simulation of a Photovoltaic Hybrid Energy System and Generator for the Electricity Supply of the Residence of the Governor of Mamou, Guinea
AU - Ansoumane Sakouvogui
AU - Nene Aissata Balde
AU - Yacouba Camara
AU - Saidou Barry
AU - Elhadj Ousmane Camara
AU - Thierno Amadou Barry
Y1 - 2024/01/18
PY - 2024
N1 - https://doi.org/10.11648/j.ijrse.20241301.11
DO - 10.11648/j.ijrse.20241301.11
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 - 1
EP - 7
PB - Science Publishing Group
SN - 2575-1549
UR - https://doi.org/10.11648/j.ijrse.20241301.11
AB - The optimization sizing model of hybrid renewable energy systems is a model that applies to micro-energy and makes it possible to simplify the design and implementation of electrical energy projects in isolated areas of large distribution networks and can be interconnected. The objective of this work is the optimal sizing and simulation on HOMER (Hybrid Optimization Model for Electrical Renewable) software of a hybrid photovoltaic system and generator for the electricity supply of the residence of the governor of Mamou. The methodology followed to estimate the electrical loads of the residence, categorizing them in two ways (low consumers and high energy consumers). The field survey made it possible to know the average temperatures and average irradiations of the site. The dimensioning of the photovoltaic field was initially carried out using analytical formulas. The characteristics of the field elements were also determined. The choice of group was made on the basis of the total load of the residence. Finally, the HOMER software made it possible to carry out optimal sizing and simulation of certain parameters. The main results obtained relate to: the meteorological characteristics of the site (temperature and irradiation). The temperature varies from 23.10°C to 30.30°C with an average of 25.86°C. Irradiation varies from 4.68 kWh/m²d to 6.76 kWh/m²d from August to April with an average of 5.54 kWh/m2d. The elements of the hybrid system are: 20 panels of 260 Wp, for an installed power of 5200 Wp; 8220 Ah batteries, for an installed capacity of 1760 Ah; two (2) converters (Sunny boy and Sunny island) with a power of 84 kW each and a 10 kVA generator. The annual production of electrical energy of the entire hybrid system is thus 39.393 kWh. Including 18.113 kWh for the generator, i.e. 46%, and 21.28 kWh for the photovoltaic system, 54%. The investment cost of the system is estimated at 192420600 FG. The results obtained show that the use of renewable energy sources such as solar coupled with thermal remains the best optimal solution for providing electrical energy to isolated areas.

VL - 13
IS - 1
ER -

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Author Information

Ansoumane Sakouvogui

Energy Department, Higher Institute of Technology, Mamou, Guinea

Contact Email
Nene Aissata Balde

Energy Department, Higher Institute of Technology, Mamou, Guinea
Yacouba Camara

Energy Department, Higher Institute of Technology, Mamou, Guinea
Saidou Barry

Energy Department, Higher Institute of Technology, Mamou, Guinea
Elhadj Ousmane Camara

Energy Department, Higher Institute of Technology, Mamou, Guinea
Thierno Amadou Barry

Energy Department, Higher Institute of Technology, Mamou, Guinea

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APA Style

Sakouvogui, A., Balde, N. A., Camara, Y., Barry, S., Camara, E. O., et al. (2024). Sizing and Simulation of a Photovoltaic Hybrid Energy System and Generator for the Electricity Supply of the Residence of the Governor of Mamou, Guinea. International Journal of Sustainable and Green Energy, 13(1), 1-7. https://doi.org/10.11648/j.ijrse.20241301.11

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ACS Style

Sakouvogui, A.; Balde, N. A.; Camara, Y.; Barry, S.; Camara, E. O., et al. Sizing and Simulation of a Photovoltaic Hybrid Energy System and Generator for the Electricity Supply of the Residence of the Governor of Mamou, Guinea. Int. J. Sustain. Green Energy 2024, 13(1), 1-7. doi: 10.11648/j.ijrse.20241301.11

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AMA Style

Sakouvogui A, Balde NA, Camara Y, Barry S, Camara EO, et al. Sizing and Simulation of a Photovoltaic Hybrid Energy System and Generator for the Electricity Supply of the Residence of the Governor of Mamou, Guinea. Int J Sustain Green Energy. 2024;13(1):1-7. doi: 10.11648/j.ijrse.20241301.11

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@article{10.11648/j.ijrse.20241301.11,
  author = {Ansoumane Sakouvogui and Nene Aissata Balde and Yacouba Camara and Saidou Barry and Elhadj Ousmane Camara and Thierno Amadou Barry},
  title = {Sizing and Simulation of a Photovoltaic Hybrid Energy System and Generator for the Electricity Supply of the Residence of the Governor of Mamou, Guinea},
  journal = {International Journal of Sustainable and Green Energy},
  volume = {13},
  number = {1},
  pages = {1-7},
  doi = {10.11648/j.ijrse.20241301.11},
  url = {https://doi.org/10.11648/j.ijrse.20241301.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijrse.20241301.11},
  abstract = {The optimization sizing model of hybrid renewable energy systems is a model that applies to micro-energy and makes it possible to simplify the design and implementation of electrical energy projects in isolated areas of large distribution networks and can be interconnected. The objective of this work is the optimal sizing and simulation on HOMER (Hybrid Optimization Model for Electrical Renewable) software of a hybrid photovoltaic system and generator for the electricity supply of the residence of the governor of Mamou. The methodology followed to estimate the electrical loads of the residence, categorizing them in two ways (low consumers and high energy consumers). The field survey made it possible to know the average temperatures and average irradiations of the site. The dimensioning of the photovoltaic field was initially carried out using analytical formulas. The characteristics of the field elements were also determined. The choice of group was made on the basis of the total load of the residence. Finally, the HOMER software made it possible to carry out optimal sizing and simulation of certain parameters. The main results obtained relate to: the meteorological characteristics of the site (temperature and irradiation). The temperature varies from 23.10°C to 30.30°C with an average of 25.86°C. Irradiation varies from 4.68 kWh/m²d to 6.76 kWh/m²d from August to April with an average of 5.54 kWh/m2d. The elements of the hybrid system are: 20 panels of 260 Wp, for an installed power of 5200 Wp; 8220 Ah batteries, for an installed capacity of 1760 Ah; two (2) converters (Sunny boy and Sunny island) with a power of 84 kW each and a 10 kVA generator. The annual production of electrical energy of the entire hybrid system is thus 39.393 kWh. Including 18.113 kWh for the generator, i.e. 46%, and 21.28 kWh for the photovoltaic system, 54%. The investment cost of the system is estimated at 192420600 FG. The results obtained show that the use of renewable energy sources such as solar coupled with thermal remains the best optimal solution for providing electrical energy to isolated areas.
},
 year = {2024}
}

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VL - 13
IS - 1
ER -

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