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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

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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[7] Fadli D. 2019. “Optimal Sizing of PV/Diesel/Battery Hybrid Micro-Grid System Using Multi Objective Bat Algorithm”. The International Journal of Engineering and Science (IJES), 8.7.06-14. DOI: 10.9790/1813-0807010614.
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Cite This Article
  • 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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  • 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
  • Energy Department, Higher Institute of Technology, Mamou, Guinea

  • Energy Department, Higher Institute of Technology, Mamou, Guinea

  • Energy Department, Higher Institute of Technology, Mamou, Guinea

  • Energy Department, Higher Institute of Technology, Mamou, Guinea

  • Energy Department, Higher Institute of Technology, Mamou, Guinea

  • Energy Department, Higher Institute of Technology, Mamou, Guinea

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