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Optimization of a solar-powered adsorptive ice-maker by a mathematical method

机译:用数学方法优化太阳能吸附式制冰机

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摘要

In this paper, the simulation results of an adsorptive system driven by solar energy, to be used for freezing and cold storage, are presented. The system, consisting of an activated carbon reactor connected to a solar collector and to an evaporator/cold box, is able to produce and store 5 kg of ice/day, in a north Mediterranean climate. The simulations were carried out by a dynamic mathematical model which uses measured climatic data and that is based on energy balances of the components of the system. A parametric analysis, based on a Full Factorial Design (FFD) - a known statistical method used to evaluate the effects and interactions of different independent variables on a dependent variable - was accomplished. The results obtained evidenced that the most influencing parameters on the system performance are the transmittance/absorptivity coefficient of the solar collector and the heat transfer coefficient between the solar collector and the adsorbent material. Finally, the application of the Steepest Ascent Method (SAM) allowed to optimize the solar-powered adsorptive system, in terms of performance, and to determine the corresponding optimal values of the key parameters. © 2008 Elsevier Ltd. All rights reserved.
机译:本文给出了用于冷冻和冷藏的太阳能驱动的吸附系统的仿真结果。该系统由连接到太阳能集热器和蒸发器/冷箱的活性炭反应器组成,在地中海北部气候下,每天可生产和储存5公斤冰。仿真是通过动态数学模型进行的,该模型使用测得的气候数据,并且基于系统组件的能量平衡。基于全因子设计(FFD)(一种用于评估不同自变量对因变量的影响和相互作用的已知统计方法)的参数分析已完成。获得的结果证明,对系统性能影响最大的参数是太阳能收集器的透射率/吸收系数以及太阳能收集器与吸附材料之间的传热系数。最后,最陡上升法(SAM)的应用允许在性能方面优化太阳能吸附系统,并确定关键参数的相应最佳值。 ©2008 Elsevier Ltd.保留所有权利。

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