Parametric optimization of Solar Parabolic Collector using metaheuristic Optimization

P. Dutta, Supradip Kumar Biswas, Madhurima Majumder
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引用次数: 6

Abstract

Estimation of an exceptionally exact model for solar parabolic collector from the experimental data is an important task for the researchers for the recreation, assessment, control and plan. Efficient optimization techniques are fundamental to accomplish this undertaking. In this paper a modified optimization technique is proposed for productive and precise estimation of the parameters of solar parabolic collector. The proposed algorithm is concentrated on the modification of Elephant Swarm Water Search Algorithm. This algorithm tested on parabolic collector parameters, namely reflectivity, Absorptivity & period of sun incidence. Response surface methodology has been used to implement the non linear model between the input & output parameters of the process. In addition, the proposed ESWSA optimization technique has been tested against the manufacture datasheet of solar parabolic reflector. Results show the effectiveness of ESWSA algorithm for modeling of the solar parabolic systems. Keyword : Solar parabolic Collector, Parameters, ESWSA, Optimization
基于元启发式优化的太阳能抛物面集热器参数优化
从实验数据中估计出一个非常精确的太阳能抛物面集热器模型是研究人员进行再开发、评估、控制和计划的重要任务。高效的优化技术是完成这项任务的基础。本文提出了一种改进的优化技术,用于高效、精确地估计太阳能抛物型集热器的参数。该算法主要是对象群水搜索算法的改进。该算法对抛物面集热器参数反射率、吸收率和太阳入射周期进行了测试。采用响应面法建立了过程输入输出参数之间的非线性模型。此外,本文提出的ESWSA优化技术已通过太阳抛物面反射器的制造数据进行了验证。结果表明了ESWSA算法对太阳抛物系统建模的有效性。关键词:太阳能集热器,参数,ESWSA,优化
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