Thermal performance optimization of a flat plate solar air heater using genetic algorithm

被引：60

作者：

Varun ^{[1
]}

Siddhartha ^{[1
]}

机构：

[1] Natl Inst Technol, Dept Mech Engn, Hamirpur 177005, HP, India

来源：

APPLIED ENERGY | 2010年 / 87卷 / 05期

关键词：

Thermal performance; Solar air heater; Genetic algorithms; Optimization; Flat plate; MULTIOBJECTIVE OPTIMIZATION; SYSTEMS; DESIGN; ISLAND;

D O I：

10.1016/j.apenergy.2009.10.015

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

Thermal performance of solar air heater is low and different techniques are adopted to increase the performance of solar air heaters. such as: fins, artificial roughness etc. In this paper an attempt has been done to optimize the thermal performance of flat plate solar air heater by considering the different system and operating parameters to obtain maximum thermal performance. Thermal performance is obtained for different Reynolds number, emissivity of the plate, tilt angle and number of glass plates by using genetic algorithm. (C) 2009 Elsevier Ltd. All rights reserved.

引用

页码：1793 / 1799

页数：7

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