Optimization of a hybrid power supply system for the round-the-clock medical center: An economic analysis using HOMER PRO
https://doi.org/10.25206/2588-0373-2026-10-1-39-48
EDN: ZCGSBK
Abstract
The article is devoted to the study of the optimal use of a hybrid energy system, including solar and wind installations, a diesel generator, as well as a geothermal heat pump, to provide electricity and hot water to a medical center located in the city of Salmiya (Syria). This region is remote and is experiencing an acute shortage of electricity.
The system was modeled and optimized using HOMER PRO software. The calculations took into account a variable daily load of 60 kWh and a peak power consumption of 5.9 kW. Solar and wind sources provide the base load, while a diesel generator is used during periods of low generation. The geothermal heat pump provides hot water supply with high energy efficiency. The study analyzed the technical and economic efficiency of the proposed solution. The results show that using a hybrid system can significantly reduce operating costs and increase the reliability of energy supply in remote regions.
About the Authors
Ali DeebRussian Federation
DEEB ALI, Postgraduate of the Hydropower and Renewable Energy Department
Krasnoznamennaya St., 14, bld. 1, Moscow, 111250
A. N. Doroshin
Russian Federation
DOROSHIN Aleksandr Nikolayevich, Candidate of Technical Sciences, Associate Professor of the Hydropower and Renewable Energy Department
AuthorID (RSCI): 751790
Krasnoznamennaya St., 14, bld. 1, Moscow, 111250
Muhammad Deeb
Russian Federation
DEEB MUHAMMAD, Candidate of Technical Sciences, Assistant of the Electromechanics, Electrical and Electronic Apparatuses Department
Krasnoznamennaya St., 14, bld. 1, Moscow, 111250
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Review
For citations:
Deeb A., Doroshin A.N., Deeb M. Optimization of a hybrid power supply system for the round-the-clock medical center: An economic analysis using HOMER PRO. Omsk Scientific Bulletin. Series Aviation-Rocket and Power Engineering. 2026;10(1):39-48. (In Russ.) https://doi.org/10.25206/2588-0373-2026-10-1-39-48. EDN: ZCGSBK
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