首页> 外文期刊>Renewable energy >Experimental and numerical study of a PCM solar air heat exchanger and its ventilation preheating effectiveness
【24h】

Experimental and numerical study of a PCM solar air heat exchanger and its ventilation preheating effectiveness

机译:PCM太阳能空气热交换器及其通风预热效果的实验与数值研究

获取原文
获取原文并翻译 | 示例
           

摘要

This article presents a PCM solar air heat exchanger integrated into ventilated window developed to maximize the use of the solar energy to pre-heat the ventilated air. The system is designed to improve the indoor air quality and thermal comfort by continuous pre-heated air supply at a reduced energy use through the capturing and storing of solar energy. This study examines the thermodynamic behavior of the system both experimentally and numerically. This entails a full-scale experiment in climate boxes to study the thermal storage and heat release ability of the facility. Accordingly, a numerical model combining heat transfer and buoyancy derived laminar flow and nonlinear thermal properties of the PCM is built and validated with the experimental data. The model is then used for configuration optimization of the PCM solar air heat exchanger to maximize the solar energy storage and the ventilation pre-heating effectiveness. The results show that for a 6-h solar charging period, the optimum PCM plate depth is 90 mm and the optimum air gap thickness is 6 mm. The same configuration can be used for both summer night cooling and winter solar energy storage applications. The total stored/released latent heat after one charging period is 93.31 MJ/m(3). (C) 2019 The Authors. Published by Elsevier Ltd.
机译:本文介绍了一种集成在通风窗中的PCM太阳能空气热交换器,其开发目的是最大限度地利用太阳能来预热通风空气。该系统旨在通过连续预热的空气供应来改善室内空气质量和热舒适性,同时通过收集和存储太阳能来减少能耗。这项研究通过实验和数值研究了系统的热力学行为。这需要在气候箱中进行全面的实验,以研究设施的储热和放热能力。因此,建立了将传热和浮力导出的层流与PCM的非线性热特性相结合的数值模型,并用实验数据进行了验证。然后将该模型用于PCM太阳能空气热交换器的配置优化,以最大化太阳能存储和通风的预热效率。结果表明,对于6小时的太阳能充电时间,最佳PCM板深度为90 mm,最佳气隙厚度为6 mm。相同的配置可用于夏夜制冷和冬季太阳能存储应用。一个充电周期后的总存储/释放潜热为93.31 MJ / m(3)。 (C)2019作者。由Elsevier Ltd.发布

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号