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Optimal Planning and Deployment of Hybrid Renewable Energy to Rural Healthcare Facilities in Nigeria

Author

Listed:
  • Lanre Olatomiwa

    (Department of Electrical & Electronics Engineering, Federal University of Technology, Minna P.M.B 65, Niger State, Nigeria
    Department of Electrical & Electronic Engineering Science, University of Johannesburg, Johannesburg 2006, South Africa)

  • Omowunmi Mary Longe

    (Department of Electrical & Electronic Engineering Science, University of Johannesburg, Johannesburg 2006, South Africa)

  • Toyeeb Adekunle Abd’Azeez

    (Department of Electrical & Electronics Engineering, Federal University of Technology, Minna P.M.B 65, Niger State, Nigeria)

  • James Garba Ambafi

    (Department of Electrical & Electronics Engineering, Federal University of Technology, Minna P.M.B 65, Niger State, Nigeria)

  • Kufre Esenowo Jack

    (Department of Mechatronics Engineering, Federal University of Technology, Minna P.M.B 65, Niger State, Nigeria)

  • Ahmad Abubakar Sadiq

    (Department of Electrical & Electronics Engineering, Federal University of Technology, Minna P.M.B 65, Niger State, Nigeria)

Abstract

This paper takes a cursory look at the problem of inadequate power supply in the rural healthcare centres of a developing country, specifically Nigeria, and proffers strategies to address this issue through the design of hybrid renewable energy systems combined with the existing unreliable grid in order to meet the healthcare load demand, thus ensuring higher reliability of available energy sources. The simulations, analysis and results presented in this paper are based on meteorological data and the load profiles of six selected locations in Nigeria, using which hybrid grid-connected systems integrating diesel, solar and wind energy sources are designed with configurations to give optimum output. The optimised design configurations in the considered case study, Ejioku, Okuru-Ama, Damare-Polo, Agbalaenyi, Kadassaka and Doso, produce very low energy costs of of 0.0791 $/kWh, 0.115 $/kWh, 0.0874 $/kWh, 0.0754 $/kWh, 0.0667 $/kWh and 0.0588 $/kWh, respectively, leveraging solar and wind energy sources which make higher percentage contributions at all sites. The load-following-dispatch strategy is adopted at all sites, ensuring that at every point in time, there is sufficient power to meet the needs of the healthcare centres. Further works on this topic could consider other strategies to optimise general energy usage on the demand side.

Suggested Citation

  • Lanre Olatomiwa & Omowunmi Mary Longe & Toyeeb Adekunle Abd’Azeez & James Garba Ambafi & Kufre Esenowo Jack & Ahmad Abubakar Sadiq, 2023. "Optimal Planning and Deployment of Hybrid Renewable Energy to Rural Healthcare Facilities in Nigeria," Energies, MDPI, vol. 16(21), pages 1-24, October.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:21:p:7259-:d:1267401
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    References listed on IDEAS

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    1. Nonthawat Khortsriwong & Promphak Boonraksa & Terapong Boonraksa & Thipwan Fangsuwannarak & Asada Boonsrirat & Watcharakorn Pinthurat & Boonruang Marungsri, 2023. "Performance of Deep Learning Techniques for Forecasting PV Power Generation: A Case Study on a 1.5 MWp Floating PV Power Plant," Energies, MDPI, vol. 16(5), pages 1-21, February.
    2. Edrees Yahya Alhawsawi & Hanan Mikhael D. Habbi & Mansour Hawsawi & Mohamed A. Zohdy, 2023. "Optimal Design and Operation of Hybrid Renewable Energy Systems for Oakland University," Energies, MDPI, vol. 16(15), pages 1-26, August.
    3. Sinha, Sunanda & Chandel, S.S., 2014. "Review of software tools for hybrid renewable energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 32(C), pages 192-205.
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