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Performance study of an enhanced solar greenhouse combined with the phase change material using genetic algorithm optimization method

机译:基于遗传算法优化方法的相变材料强化日光温室性能研究。

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摘要

There are several common shapes for solar greenhouses structure. In a special structure, the curved glass roof is equipped with a thin remarkable cover. In this case, the cover modifies the solar light spectrally and reflects the unnecessarily wavelengths on a tubular collector installed in the focal line of the curved roof, out of the greenhouse, for greenhouse multipurpose applications. In this work, the basic idea for mentioned above special greenhouse was enhanced. As a new study, the performance effects of the collectors numbers (here, 1, 2, and 3) used for roof of the one solar greenhouse system was investigated. Also, for better saving energy process, a specific amount of phase change material (PCM) was applied in the collector. A genetic algorithm method was used to optimize the collector pipe radius versus the volume of the PCM placed inside this pipe. Simulation results indicated that the use of this enhanced system solar greenhouse leads to the remarkable results in the energy budget and the economic factors. (C) 2016 Elsevier Ltd. All rights reserved.
机译:日光温室结构有几种常见的形状。在特殊的结构中,弯曲的玻璃屋顶配备了薄而显眼的盖子。在这种情况下,盖罩在光谱上改变了太阳光,并反射了不必要的波长,该波长安装在温室外用于温室的多用途应用中的管状收集器上,该收集器安装在弯曲屋顶的焦线上。在这项工作中,增强了上述特殊温室的基本思想。作为一项新研究,研究了用于一个日光温室系统的屋顶的集热器数量(此处为1、2和3)的性能影响。另外,为了更好地节约能源,在收集器中使用了特定数量的相变材料(PCM)。使用遗传算法方法来优化收集器管道的半径与放置在该管道内的PCM的体积之间的关系。仿真结果表明,使用这种增强型系统的日光温室可以在能源预算和经济因素方面取得显著成果。 (C)2016 Elsevier Ltd.保留所有权利。

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