Smart windows: Thermal modelling and evaluation
Smart windows: Thermal modelling and evaluation
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DOI：
10.1016/j.solener.2014.02.016
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发表时间：
2014-05-01
期刊：
影响因子：
6.7
通讯作者：
Wu, Yupeng
中科院分区：
文献类型：
--
作者：
Sabry, M.;Eames, P. C.;Wu, Yupeng
本文对水冷高效第三代GaAsP/InGaAs QWSC（效率接近32%）太阳能电池集成的多窗格智能窗的性能进行了数值研究，该多窗格智能窗在两轴跟踪太阳能聚光器照射下的玻璃间距为500倍。优化系统参数，如光学浓度比和冷却剂（水）流速，是必不可少的，以避免由于高温和热应力导致系统性能下降。使用有限体积CFD软件包对智能窗口系统的热流体特性进行了详细建模。分析结果考虑了智能窗系统内部发生的传导、对流和辐射热交换过程以及对内外环境环境的热交换。(C) 2014年作者。Elsevier Ltd.出版。这是一篇基于CC BY许可（http://creativecommons.org/licenses/by/3.0/）的开放获取文章。
A numerical investigation of the performance of a multi paned smart window integrated with water-cooled high efficiency third generation GaAsP/InGaAs QWSC (similar to 32% efficiency) solar cells illuminated by two-axis tracking solar concentrators at 500x in the inter pane space is presented. Optimising system parameters such as optical concentration ratio and coolant (water) flow rate is essential in order to avoid degradation in system performance due to high cell temperatures and thermal stresses. Detailed modelling of the thermofluid characteristics of the smart windows system was undertaken using a finite volume CFD package. Results of this analysis which considered the conductive, convective and radiative heat exchange processes taking place in the interior of the smart window system as well as the heat exchange to the internal and external ambient environment are presented. (C) 2014 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/3.0/).