基于数据统计的办公建筑多联机行为调节
作者:
作者单位:

同济大学 机械与能源工程学院 暖通空调及燃气研究所,同济大学 机械与能源工程学院 暖通空调及燃气研究所,大金(中国)投资有限公司

作者简介:

通讯作者:

中图分类号:

TU831.7

基金项目:


Behavior Regulation of Variable Refrigerant Flow System in Office Building Based on Statistical Analysis
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    以开机率表征变制冷剂流量多联机行为调节特性,对上海某办公建筑做了制冷制热共1年的数据调研.数据统计发现制热期间最大开机率仅为60%左右,制热能耗随开机率增大基本呈线性变化,统计区间样本数据能耗极差最大值为0.4左右.制冷能耗随开机率增大呈先缓后陡的指数变化增大趋势,对应极差最大值为0.55左右.使用数据包络分析法和Parzen窗法进一步分析了能耗随开机率的变化特性,研究结果表明,变制冷剂流量多联机系统在制热期间发生有效行为调节的概率为0.54,制冷期间发生有效行为调节的概率为0.44.

    Abstract:

    Operating unit ratio (OUR) was addressed to analyse behavior regulation of variable refrigerant flow (VRF) system. Correspondingly one office building located in Shanghai was investigated to get data of one year including cooling and heating periods. Statistical results showed that maximum value of OUR was about 60% during heating period, the corresponding energy consumption of VRF keeps in line with the increase of OUR and the maximum range value of sample data during statistical intervals was about 0.4. As to the energy consumption in cooling period, it shows exponential variation (ie. flat at beginning and steep in the subsequent) with the increase of OUR, the maximum range value of sample data during statistical intervals was about 0.55. Data envelope analyse (DEA) and Parzen window were used to further investigate the variation characteristics of behavior regulation. Results showed that probability of effective behavior regulation during heating period was about 0.54 and that corresponding value during cooling period was about 0.44.

    参考文献
    相似文献
    引证文献
引用本文

赵德印,张旭,钟鸣.基于数据统计的办公建筑多联机行为调节[J].同济大学学报(自然科学版),2016,44(6):0915~0921

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2015-08-03
  • 最后修改日期:2016-04-08
  • 录用日期:2015-10-28
  • 在线发布日期: 2016-07-08
  • 出版日期: