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Thermodynamic modeling and multi-objective optimization of two stage thermoelectric generator in electrically series and parallel configuration

机译:串联和并联配置的两级热电发电机的热力学建模和多目标优化

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Two-stage exo-reversible thermoelectric generator considering internal irreversibilties is developed in electrically series and electrically parallel configurations in matrix laboratory simulink environment based on finite time thermodynamic analysis. Simultaneous optimization of proposed system for maximizing power output, thermal efficiency and minimizing entropy generation is employed based on second version of non-dominated sorting genetic algorithm, where working electrical current, number of thermoelectric elements in top and bottom stage, temperature of hot side and cold side are considered as design variables. The present work explores optimal values of above performance parameters and design variables with the comparison of two-stage thermoelectric generator in two modes. For triple and dual objective functions, Pareto frontier is obtained and using four decision variable techniques viz. Fuzzy Bellman-Zadeh, Shannon's entropy, LINMAP and TOPSIS best optimal solution is selected. With the current study, it has been proved that triple-objective optimization gives much lower difference between ideal and obtained solution, termed as deviation index, as compared to the dual objective optimization. (C) 2016 Elsevier Ltd. All rights reserved.
机译:基于有限时间热力学分析,在矩阵实验室simulink环境中,以电串联和电并联配置开发了考虑内部不可逆性的两级可逆热电发电机。在第二版非支配排序遗传算法的基础上,对提出的系统进行了同时优化,以实现最大的输出功率,热效率和最小化的熵产生,其中工作电流,顶部和底部的热电元件数量,热侧温度和冷侧被视为设计变量。通过比较两种模式下的两级热电发电机,本工作探索了上述性能参数和设计变量的最佳值。对于三重和双目标函数,使用四个决策变量技术获得帕累托边界。选择了模糊Bellman-Zadeh,香农熵,LINMAP和TOPSIS最佳最优解。通过当前的研究,已证明与双目标优化相比,三目标优化给出了理想解和所得解之间的差异,称为偏差指数。 (C)2016 Elsevier Ltd.保留所有权利。

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