首页> 外文期刊>International journal of green energy >THE OPTIMIZED OPERATION OF A SOLAR HYBRID DESICCANT/DISPLACEMENT VENTILATION COMBINED WITH A PERSONALIZED EVAPORATIVE COOLER
【24h】

THE OPTIMIZED OPERATION OF A SOLAR HYBRID DESICCANT/DISPLACEMENT VENTILATION COMBINED WITH A PERSONALIZED EVAPORATIVE COOLER

机译:太阳能干燥剂/置换通风和个性化蒸发冷却器的优化运行

获取原文
获取原文并翻译 | 示例
       

摘要

The study investigates by modeling and experimentation the performance of displacement ventilation (DV) aided with personalized evaporative cooler (PEC) system that operates in humid climate and uses a solid desiccant (SD) dehumidification system regenerated by parabolic solar concentrator thermal source. Predictive component models of the conditioned space, the SD, the solar concentrator system, and the PEC were developed and used for the prediction of associated operational energy consumption while utilizing an optimized control strategy. The control strategy seeks optimal values of supply air flow rate and temperature and the desiccant regeneration temperature for both cases with and without the aid of the PEC while meeting space load, indoor air quality, and thermal comfort requirements. Energy consumption was calculated for the optimized strategy using genetic algorithm optimizer and the integrated DV/SD-PEC models. The results agreed well with experimental data obtained from tests on a DV climatic chamber. In addition, votes of comfort recorded by participants in the experiment using PEC were very similar to predicted comfort. The optimized hybrid system performance was applied to a typical office space of area of 64 m~2. The operation of the hybrid system with PECs resulted in a higher supply air temperature. The increment in supply air temperature is 1.1℃ when PEC is used compared to case without PEC, This increase in temperature showed that an energy saving of 13.5% is achieved for the PEC aided hybrid system.
机译:该研究通过建模和实验研究了在个性化的蒸发冷却器(PEC)系统辅助下的置换通风(DV)的性能,该系统在潮湿的气候下运行,并使用抛物线太阳能聚光器热源再生的固体干燥剂(SD)除湿系统。开发了条件空间,SD,太阳能集中器系统和PEC的预测组件模型,并将其用于预测相关的运行能耗,同时利用优化的控制策略。在满足和满足空间负荷,室内空气质量和热舒适性要求的情况下,无论是否使用PEC,控制策略都寻求供气流速和温度以及干燥剂再生温度的最佳值。使用遗传算法优化器和集成的DV / SD-PEC模型为优化策略计算了能耗。结果与从DV气候舱进行测试获得的实验数据吻合得很好。此外,实验参与者使用PEC记录的舒适度投票与预测的舒适度非常相似。优化的混合系统性能应用于64 m〜2的典型办公空间。带PEC的混合系统的运行导致更高的送风温度。与没有PEC的情况相比,使用PEC时的送风温度升高为1.1℃。这种温度升高表明,PEC辅助混合动力系统可实现13.5%的节能。

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