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3D numerical modelling and experimental validation of an asphalt solar collector

机译:沥青太阳能集热器的3D数值建模与实验验证

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Research about renewable technologies for thermal energy collection is crnrial when critical problems such as climate change, global warming or environmental pollution are concerned. Transforming solar energy into thermal energy by means of asphalt solar collectors might help to reduce greenhouse gas emissions and fossil fuel consumption. In this paper, a laboratory-scale asphalt solar collector formed by different slabs has been characterized by applying numerical techniques. An experimental test where the thermal performance of the collector was determined for three values of heat exchange fluid flow rate was carried out for the validation of the numerical model. Then, the CFD model was used to analyse the thermal response of the collector according to the following parameters: flow rate, solar irradiance, size and thickness. Results show that increasing values of heat exchange fluid flow rate result in better thermal performances. Likewise, increasing values of irradiance and size of the collector lead to higher values of thermal performance, although other parameters should also be considered for the final design of the system. Finally, under the conditions here considered, the thickness of the collector turned out not to be as significant as expected in relation to its thermal response. The combination of experimental tests and CFD codes can be considered a powerful tool for the characterization of asphalt solar collectors without incurring significant costs related to experimental field tests. (C) 2017 Elsevier Ltd. All rights reserved.
机译:当诸如气候变化,全球变暖或环境污染等关键问题时,热能收集可再生技术的研究是兴隆。通过沥青太阳能集热器将太阳能转化为热能可能有助于减少温室气体排放和化石燃料消耗。本文通过不同的板坯形成的实验室级沥青太阳能集电极通过应用数值技术来表征。确定了用于验证数值模型的热交换流体流速的三个热交换流体流速的测量值的热性能的实验测试。然后,CFD模型用于根据以下参数分析收集器的热响应:流速,太阳辐照度,尺寸和厚度。结果表明,越来越多的热交换流体流速的值导致更好的热性能。同样,增加的辐照度和收集器的尺寸的值导致热性能的更高值,尽管也应考虑其他参数用于系统的最终设计。最后,在这里考虑的条件下,收集器的厚度结果不如与其热响应相关的预期一样重要。实验测试和CFD代码的组合可以被认为是沥青太阳能收集器表征的强大工具,而不会产生与实验场测试相关的重大成本。 (c)2017 Elsevier Ltd.保留所有权利。

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