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Thermodynamic analysis and optimization of an integrated Rankine power cycle and nano-fluid based parabolic trough solar collector

机译:集成朗肯功率循环和基于纳米流体的抛物槽太阳能收集器的热力学分析和优化

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In this paper, the performance of an integrated Rankine power cycle with parabolic trough solar system and a thermal storage system is simulated based on four different nano-fluids in the solar collector system, namely CuO, SiO2, TiO2 and Al2O3. The effects of solar intensity, dead state temperature, and volume fraction of different nano-particles on the performance of the integrated cycle are studied using second law of thermodynamics. Also, the genetic algorithm is applied to optimize the net output power of the solar Rankine cycle. The solar thermal energy is stored in a two-tank system to improve the overall performance of the system when sunlight is not available. The concept of Finite Time Thermodynamics is applied for analyzing the performance of the solar collector and thermal energy storage system. This study reveals that by increasing the volume fraction of nano-particles, the exergy efficiency of the system increases. At higher dead state temperatures, the overall exergy efficiency is increased, and higher solar irradiation leads to considerable increase of the output power of the system. It is shown that among the selected nano-fluids, CuO/oil has the best performance from exergy perspective. (C) 2016 Elsevier Ltd. All rights reserved.
机译:本文基于太阳能集热器系统中的四种不同的纳米流体,即CuO,SiO2,TiO2和Al2O3,模拟了具有抛物线槽太阳能系统和蓄热系统的朗肯动力循环的综合性能。利用热力学第二定律研究了太阳强度,死态温度和不同纳米颗粒的体积分数对积分循环性能的影响。同样,遗传算法被应用于优化太阳朗肯循环的净输出功率。当没有日光时,太阳能将热能存储在两个水箱系统中,以提高系统的整体性能。有限时间热力学的概念被用于分析太阳能收集器和热能存储系统的性能。这项研究表明,通过增加纳米粒子的体积分数,系统的火用效率会提高。在更高的死态温度下,总的火用效率会提高,并且更高的太阳辐射会导致系统输出功率的显着增加。结果表明,从火用角度出发,在选定的纳米流体中,CuO /油具有最佳性能。 (C)2016 Elsevier Ltd.保留所有权利。

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