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Excess Energy from PV-Battery System Installations: A Case of Rural Health Center in Tigray, Ethiopia

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  • Mulu Bayray Kahsay

    (Department of Electronics and Information Systems, Gent University, 9052 Ghent, Belgium
    School of Mechanical and Industrial Engineering, Mekelle University, Mekelle P.O. Box 231, Ethiopia)

  • Johan Lauwaert

    (Department of Electronics and Information Systems, Gent University, 9052 Ghent, Belgium)

Abstract

PV-Battery systems are commonly sized based on the lowest solar radiation of the site of implementation. This implies that during days of high solar radiation excess energy is available. This study investigated the potential of excess energy for thermal storage from PV systems for a case of a rural health center. The system components of a typical PV installation in a rural health center in Tigray, Ethiopia, were considered. The electricity load profile of the health center and solar radiation data available from Mekelle city were used as inputs to a TRNSYS model. Analysis of excess energy in the system at hourly and ten-minute time intervals was conducted. The analysis results indicate that during the months from September to May excess energy was available that could be thermally stored and utilized. During these months, the excess peak power ranged from 737 to 841 W and daily average excess energy ranged from 2070 to 2959 Wh. In contrast, in the months from June to August, no excess energy was available due to low solar radiation.

Suggested Citation

  • Mulu Bayray Kahsay & Johan Lauwaert, 2022. "Excess Energy from PV-Battery System Installations: A Case of Rural Health Center in Tigray, Ethiopia," Energies, MDPI, vol. 15(12), pages 1-11, June.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:12:p:4355-:d:838939
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    References listed on IDEAS

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    1. Yildiz, Baran & Bilbao, Jose I. & Roberts, Mike & Heslop, Simon & Dore, Jonathon & Bruce, Anna & MacGill, Iain & Egan, Renate J. & Sproul, Alistair B., 2021. "Analysis of electricity consumption and thermal storage of domestic electric water heating systems to utilize excess PV generation," Energy, Elsevier, vol. 235(C).
    2. Tarragona, Joan & Pisello, Anna Laura & Fernández, Cèsar & Cabeza, Luisa F. & Payá, Jorge & Marchante-Avellaneda, Javier & de Gracia, Alvaro, 2022. "Analysis of thermal energy storage tanks and PV panels combinations in different buildings controlled through model predictive control," Energy, Elsevier, vol. 239(PC).
    3. Tarragona, Joan & Fernández, Cèsar & de Gracia, Alvaro, 2020. "Model predictive control applied to a heating system with PV panels and thermal energy storage," Energy, Elsevier, vol. 197(C).
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