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Simulation of solar cooling system based on variable effect LiBr-water absorption chiller

机译:基于可变效应溴化锂吸水冷却器的太阳能冷却系统的仿真

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摘要

In solar absorption cooling system, the instability of solar power causes mismatch between the solar collector and the absorption chiller. The variable effect absorption cycle was proposed to improve this. In order to investigate its solar driving performance, a Compound Parabolic Collector (CPC) driving variable effect LiBr-water absorption cooling system is simulated. Model of the variable effect LiBr-water absorption chiller is built through artificial neural network (ANN) modeling based on 450 groups of experimental data. Good agreement between the prediction and experimental data is achieved with correlation coefficient of 0.994. The CPC driving absorption cooling system is then built in TRaNsient SYstem Simulation program (TRNSYS) based on the chiller model. The daily performance of this system is calculated and analyzed. The variable effect chiller can work with low driving temperature, which guarantees a long working period. Besides, the variable effect chiller has high COP under high driving temperature, which ensures a competitive overall efficiency. The calculation shows that average chiller COP of 0.88 and solar COP of 035 are obtained. The effects of solar collector area, storage tank volume and cut-off driving temperature on the system performance are analyzed. The optimal solar collector area and tank volume are obtained. (C) 2017 Elsevier Ltd. All rights reserved.
机译:在太阳能吸收式制冷系统中,太阳能的不稳定会导致太阳能收集器和吸收式制冷机之间的不匹配。提出了可变效应吸收循环来改善这一点。为了研究其太阳能驱动性能,模拟了复合抛物面收集器(CPC)驱动可变效应LiBr-吸水冷却系统。基于450组实验数据,通过人工神经网络(ANN)建模,建立了可变效果的溴化锂吸水冷却器模型。相关系数为0.994,预测结果与实验数据吻合良好。然后,在基于冷却器模型的TRaNsient系统仿真程序(TRNSYS)中构建CPC驱动吸收冷却系统。计算并分析了该系统的日常性能。可变效果冷却器可以在较低的驱动温度下工作,从而保证了较长的工作时间。此外,可变效果冷却器在高驱动温度下具有较高的COP,从而确保了具有竞争力的整体效率。计算结果表明,平均冷水机组COP为0.88,太阳能COP为035。分析了太阳能集热器的面积,储水箱的体积和截止驱动温度对系统性能的影响。获得了最佳的太阳能收集器面积和水箱容积。 (C)2017 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Renewable energy》 |2017年第12期|907-914|共8页
  • 作者

    Xu Z. Y.; Wang R. Z.;

  • 作者单位

    Shanghai Jiao Tong Univ, Inst Refrigerat & Cryogen, Shanghai 200240, Peoples R China;

    Shanghai Jiao Tong Univ, Inst Refrigerat & Cryogen, Shanghai 200240, Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Solar cooling; CPC; Absorption cooling; Simulation; TRNSYS;

    机译:太阳能冷却;CPC;吸收冷却;模拟;TRNSYS;

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