JBO-OSN: A Synaptic Bio-Inspired Optimization Approach for Floatovoltaic Hybrid Energy Systems in The Tuz Gölü (Salt Lake) Region

Mert Ökten

doi:10.21541/apjess.1773408

JBO-OSN: A Synaptic Bio-Inspired Optimization Approach for Floatovoltaic Hybrid Energy Systems in The Tuz Gölü (Salt Lake) Region

Abstract

This study introduces a novel bio-inspired metaheuristic algorithm, named JBO-OSN (Jackal–Badger–Octopus with Optimized Synaptic Network), for addressing the multi-objective optimization of a hybrid floatovoltaic–battery–diesel energy system. The target application is the Tuz Gölü (Salt Lake) region in Türkiye, where arid climatic conditions and unique resource availability present challenges for sustainable energy planning. The aim is to reduce cost, minimize carbon emissions, and ensure battery longevity in off-grid and semi-grid contexts. The system is modeled using realistic meteorological and demand profiles, incorporating water surface effects on photovoltaic performance such as reflectivity and thermal regulation. JBO-OSN is designed by integrating biological cooperation, synaptic decision-making, and chaotic dynamics to enhance exploration and convergence. The algorithm is implemented in MATLAB and benchmarked against widely used optimization techniques including PSO, GWO, and WOA. Simulation results demonstrate that JBO-OSN achieves superior convergence speed, improved solution stability, and more effective trade-offs among objectives compared to conventional swarm-based approaches. The algorithm efficiently balances system cost, emission reduction, and battery cycling stability under arid environmental conditions. JBO-OSN shows promise as a robust decision-support tool for the design and optimization of hybrid renewable energy systems in resource-constrained, arid regions. Its bio-inspired and synaptic-based framework provides advantages over traditional algorithms, supporting future applications in sustainable energy planning.

Keywords

References

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Details

Primary Language

English

Subjects

Algorithms and Calculation Theory

Journal Section

Research Article

Authors

Mert Ökten ^*
0000-0003-0077-4471
Türkiye

Publication Date

January 31, 2026

Submission Date

August 28, 2025

Acceptance Date

November 7, 2025

Published in Issue

Year 2026 Volume: 14 Number: 1

DOI

https://doi.org/10.21541/apjess.1773408

IZ

https://izlik.org/JA63KX26JE

Cite

RIS / Bibtex

APA

Ökten, M. (2026). JBO-OSN: A Synaptic Bio-Inspired Optimization Approach for Floatovoltaic Hybrid Energy Systems in The Tuz Gölü (Salt Lake) Region. Academic Platform Journal of Engineering and Smart Systems, 14(1), 36-45. https://doi.org/10.21541/apjess.1773408

AMA

1.Ökten M. JBO-OSN: A Synaptic Bio-Inspired Optimization Approach for Floatovoltaic Hybrid Energy Systems in The Tuz Gölü (Salt Lake) Region. APJESS. 2026;14(1):36-45. doi:10.21541/apjess.1773408

Chicago

Ökten, Mert. 2026. “JBO-OSN: A Synaptic Bio-Inspired Optimization Approach for Floatovoltaic Hybrid Energy Systems in The Tuz Gölü (Salt Lake) Region”. Academic Platform Journal of Engineering and Smart Systems 14 (1): 36-45. https://doi.org/10.21541/apjess.1773408.

EndNote

Ökten M (January 1, 2026) JBO-OSN: A Synaptic Bio-Inspired Optimization Approach for Floatovoltaic Hybrid Energy Systems in The Tuz Gölü (Salt Lake) Region. Academic Platform Journal of Engineering and Smart Systems 14 1 36–45.

IEEE

[1]M. Ökten, “JBO-OSN: A Synaptic Bio-Inspired Optimization Approach for Floatovoltaic Hybrid Energy Systems in The Tuz Gölü (Salt Lake) Region”, APJESS, vol. 14, no. 1, pp. 36–45, Jan. 2026, doi: 10.21541/apjess.1773408.

ISNAD

Ökten, Mert. “JBO-OSN: A Synaptic Bio-Inspired Optimization Approach for Floatovoltaic Hybrid Energy Systems in The Tuz Gölü (Salt Lake) Region”. Academic Platform Journal of Engineering and Smart Systems 14/1 (January 1, 2026): 36-45. https://doi.org/10.21541/apjess.1773408.

JAMA

1.Ökten M. JBO-OSN: A Synaptic Bio-Inspired Optimization Approach for Floatovoltaic Hybrid Energy Systems in The Tuz Gölü (Salt Lake) Region. APJESS. 2026;14:36–45.

MLA

Ökten, Mert. “JBO-OSN: A Synaptic Bio-Inspired Optimization Approach for Floatovoltaic Hybrid Energy Systems in The Tuz Gölü (Salt Lake) Region”. Academic Platform Journal of Engineering and Smart Systems, vol. 14, no. 1, Jan. 2026, pp. 36-45, doi:10.21541/apjess.1773408.

Vancouver

1.Mert Ökten. JBO-OSN: A Synaptic Bio-Inspired Optimization Approach for Floatovoltaic Hybrid Energy Systems in The Tuz Gölü (Salt Lake) Region. APJESS. 2026 Jan. 1;14(1):36-45. doi:10.21541/apjess.1773408