基于粒子群优化技术的染料敏化太阳能电池孔隙率优化

Biswajit Mandal, P. Bhowmik, Tapas Chakrabarti
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引用次数: 2

摘要

本文研究了染料敏化太阳能电池(Dye-Sensitized Solar Cell, DSSC)的孔隙度优化,以获得最大的输出功率。采用粒子群优化技术求解最优孔隙度,得到孔隙度范围内的电流-电压特性。由DSSC扩散模型得到的功率(PW)-电压(V)和电流(I)-电压(V)曲线与文献中已有的PW-V、I-V曲线一致。该方法增加了孔隙度值范围的新范围,有助于在参数保持不变的情况下获得电池的最大输出功率,以分析孔隙度以外的模型。
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Porosity optimization of Dye-Sensitized Solar Cell using Particle Swarm Optimization Technique
The porosity optimization of the Dye-Sensitized Solar Cell (DSSC) has studied in this paper to achieve maximum power output. Current-voltage characteristics for a range of porosity value obtained from the implemented Particle Swarm Optimization technique for optimal porosity. The Power (PW)-Voltage (V) and Current (I)-Voltage (V) curve acquired from the diffusion model of DSSC which are identical with the PW-V, I-V curve available in the literature. The proposed approach adds a new extent of the range of porosity value, which helps to get maximum power output from the cell, where parameters have kept constant to analyze the model beside porosity.
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