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Optimization of Gas Turbine Combined with Solid Oxide Fuel Cell Cycle Using Hybrid Optimization Algorithm Based on Simplex and Genetic Algorithms
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Hamoon Pourmirzaagha *   |
| Islamic Azad University , hamoon.pourmirzaagha@iau.ac.ir |
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Abstract: (51 Views) |
| This paper presents the optimization of gas turbine combined with solid oxide fuel cell using the hybrid algorithm based on simplex and genetic optimization algorithms. Initially, all components of the system are modeled separately using thermodynamically based correlations and an electrochemical analysis of fuel cell is presented. Comparison of the obtained results shows excellent agreements with previous studies. The effects of various parameters on the performance of cycle are analyzed. Moreover, the proposed algorithm is formulated with a new motivation for optimization of the system. When genetic algorithm finds the optimum points, simplex searches through the optimal points to find the best local points and then to localize a promising area, likely to contain a global minimum, it is necessary to well exploration the whole search domain. The proposed hybrid algorithm is applied to popular benchmark functions and its performance is compared with other optimization algorithms as accuracy. Exergetic and thermal efficiency and net power are three objective functions. The simulation results show that the efficiency of hybrid system with optimization module is 60%, although, the net power increases 76% with respect to basic module. |
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| Keywords: Heuristic optimization algorithm, Hybrid algorithm, Simplex genetic algorithm, Gas turbine, Solid oxide fuel cell |
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Full-Text [PDF 615 kb]
(32 Downloads)
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Type of Study: Research |
Subject:
Energy and Environment
Received: 2024/06/23 | Accepted: 2025/09/30 | Published: 2025/05/31
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