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September 7, 2026Discover Applied SciencesOpen Access

Optimal design of hybrid renewable energy conversion systems using two configurations and four different algorithms for a rural village in Egypt

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Authors

MTMohamed A. ToradSESayed H. A. ElbannaMEMahmoud A. El‐Dabah

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Overview

Simulation study reveals optimal techno-economic configurations for hybrid off-grid renewable energy systems, highlighting the reliability benefits of biomass integration.

Key Points

  • To optimize the techno-economic design and reliability of a decentralized hybrid renewable energy conversion system for an off-grid rural community using multiple optimization algorithms.
  • Modeled a decentralized hybrid renewable energy network comprising solar photovoltaic panels, wind turbines, biomass generators, battery storage, and power converters.
  • Evaluated system reliability, financial viability, and emissions using HOMER Pro alongside metaheuristic algorithms, including Cheetah Optimizer (CO), Fractional-Order Velocity Inertia-free Moth-flame optimization (FVIM), and Secretary Bird Optimization Algorithm (SBOA).
  • HOMER Pro achieved a 0.0000% loss of power supply probability (LPSP), 29.3827% surplus energy, a net present cost (NPC) of $3,671,711, a cost of energy (COE) of $0.10/kWh, and greenhouse gas (GHG) emissions of 11.016 tons/year.
  • SBOA attained an LPSP of 2.6733%, 7.3229% excess energy, an NPC of $3,560,416.88, a COE of $0.121/kWh, and GHG emissions of 688.122 tons/year.
  • CO and FVIM yielded LPSPs of 1.4877% and 2.5724%, excess energy of 5.9408% and 7.3600%, NPCs of $3,572,813.22 and $3,587,924.56, COEs of $0.123/kWh and $0.124/kWh, and emissions of 690.315 and 692.874 tons/year, respectively.

Cite This Study

Torad et al. (2026) studied this question.

synapsesocial.com/papers/6a9e8531c3034f961570d58ahttps://doi.org/10.1007/s42452-026-09425-z
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