...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Building and Environment >Modeling and performance analyses of a batch-wise liquid desiccant air conditioning system
【24h】

Modeling and performance analyses of a batch-wise liquid desiccant air conditioning system

机译：间歇式液体干燥剂空调系统的建模与性能分析

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Numerous efforts have been made and reported to improve the energy efficiency of liquid desiccant air conditioning (LDAC) in recent studies. This study proposes a novel batch-wise operation strategy for LDAC that desiccant solutions in dehumidifier and regenerator are circulating independently and exchanging intermittently to get a full utilization of solution dehumidification capacity, cooling and heating energy. System models, including heat and mass transfer models of dehumidifier and regenerator, heat exchanger models and solution transfer model, are developed and verified to analyze and estimate the performance of proposed batch-wise strategy. The maximum relative errors between experimental and model predicting results are within 9.69% for outlet air temperature and within 7.97% for outlet air relative humidity. Performance and energy efficiency of proposed strategy are analyzed and compared with normal on-going solution exchange strategy. According to the simulation results, dehumidification rate and regeneration rate can be improved by average of 5.00% and 3.50% due to multiple solution usages in dehumidifier and regenerator. Moreover, the proposed batch-wise strategy demonstrates considerable energy savings with up to 16.81% and 18.60% from dehumidifier and regenerator, respectively.
机译：在最近的研究中，已经做出了许多努力并且报告了提高液体干燥剂空调（LDAC）的能量效率的方法。这项研究提出了一种新的LDAC分批操作策略，即除湿器和再生器中的干燥剂溶液独立循环并间歇交换，以充分利用溶液的除湿能力，冷却和加热能量。开发并验证了系统模型，包括除湿器和再生器的传热和传质模型，热交换器模型和溶液传递模型，以分析和评估所提出的分批策略的性能。实验和模型预测结果之间的最大相对误差对于出口空气温度在9.69％之内，对于出口空气相对湿度在7.97％之内。分析了所提出策略的性能和能效，并与常规的持续解决方案交换策略进行了比较。根据仿真结果，由于在除湿器和再生器中使用多种溶液，除湿率和再生率可分别提高5.00％和3.50％。此外，建议的分批策略显示出可观的节能效果，除湿机和再生器分别节省了16.81％和18.60％。

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