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Multi-objective techno-economic and environmental optimization of hydrogen-based hybrid renewable energy system using

Salih Ermiş1, Oğuz Taşdemir1, Rami Al-Hajj2

  • 1Department of Electrical and Electronics Engineering, Faculty of Engineering and Architecture, Kırşehir Ahi Evran University, Kırşehir, Türkiye.

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Summary

This study optimizes hybrid renewable energy systems (HRES) using the Osprey Optimization Algorithm (OOA) to minimize energy costs and health damage from emissions. The PV/WT/FC system offers the best balance for sustainable power.

Keywords:
Environmental sustainabilityHybrid renewable energy systemHydrogen energyOsprey optimization algorithmTechno-economic analysis

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Area of Science:

  • Renewable Energy Systems
  • Optimization Algorithms
  • Environmental Impact Assessment

Background:

  • Intermittent renewable energy sources require advanced storage and optimization for reliable power.
  • Hybrid renewable energy systems (HRES) present a sustainable solution but face complex optimization challenges for cost and emissions.
  • Minimizing economic costs and human health damage from lifecycle emissions in HRES is a critical research area.

Purpose of the Study:

  • To develop a multi-objective optimization framework for grid-connected HRES.
  • To optimize the sizing and power management of HRES integrating PV, WT, FC, electrolyzer, and hydrogen storage.
  • To minimize Cost of Energy (COE) and Human Health Damage (HHD) while ensuring zero Loss of Power Supply Probability (LPSP).

Main Methods:

  • Application of the Osprey Optimization Algorithm (OOA) for system optimization.
  • Multi-objective optimization considering COE and HHD.
  • Simulation using one-year meteorological data from Central Anatolia, Türkiye.
  • Comparative analysis against Particle Swarm Optimization (PSO), Teaching-Learning Based Optimization (TLBO), and Grey Wolf Optimizer (GWO).

Main Results:

  • The OOA demonstrated superior performance in solution quality and computational efficiency compared to PSO, TLBO, and GWO.
  • The Photovoltaic/Wind Turbine/Fuel Cell (PV/WT/FC) configuration yielded the most balanced Pareto-optimal solution.
  • The optimal PV/WT/FC system achieved an HHD of 0.419 DALY and a COE of 0.238 $/kWh.
  • Hydrogen storage effectively mitigated renewable intermittency, reducing grid dependency and emissions.

Conclusions:

  • The OOA is a robust tool for optimizing HRES design.
  • The PV/WT/FC configuration offers a cost-effective and environmentally sustainable solution for modern power systems.
  • Integrating hydrogen production and storage is key to managing renewable energy intermittency and reducing environmental impact.