EN

朱娜

副教授    博士生导师    硕士生导师

个人信息 更多+
  • 性别: 女
  • 在职信息: 在职
  • 所在单位: 环境科学与工程学院
  • 学历: 研究生(博士)毕业
  • 学位: 工学博士学位

其他联系方式

邮编:

通讯/办公地址:

邮箱:

论文成果

当前位置: 中文主页 - 科学研究 - 论文成果

Online optimal ventilation control of building air-conditioning systems.

发布时间:2023-04-22
点击次数:
论文类型:
文章
第一作者:
王盛卫
合写作者:
孙忠伟,孙勇军,朱娜
发表刊物:
Indoor and Built Environment
收录刊物:
SCI
所属单位:
香港理工大学
刊物所在地:
United Kingdom
学科门类:
工学
一级学科:
土木工程
项目来源:
Hong Kong Research Grants Council
文献类型:
J
卷号:
20
页面范围:
129-136
ISSN号:
1420-326X
关键字:
Demand-controlled ventilation;Occupancy detection;Ventilation control;Optimal control;Energy performance
DOI码:
10.1177/1420326X10394491
发表时间:
2011-04-01
影响因子:
3.067
摘要:
This paper presents a ventilation control strategy for multi-zone variable air volume (VAV) air-conditioning systems; integrating the sequential split-range control strategy for air-handing units with an aim to optimise the fresh air flow rate by compromising the indoor air quality and energy consumption. In this strategy, a CO2-based adaptive demand-controlled ventilation scheme would employ a dynamic multi-zone ventilation equation for multi-zone air-conditioning systems, in which a CO2-based dynamic occupancy detection scheme would be used for online occupancy detection. The strategy would identify the critical zones online, and fully consider the outdoor air demand of critical zones, while, a model-based fresh air flow rate optimal control scheme is employed for VAV air-conditioning systems with the primary air handling units. An adaptive optimisation algorithm would be used for optimising the fresh air flow rate to minimise the energy consumption. The energy saving potentials in the Hong Kong climate condition by optimising fresh air ventilation and the practical implementation of the control strategy are also discussed in this paper.