Modular modeling of air-conditioning system with state-space method and graph theory

Modular modeling of air-conditioning system with state-space method and graph theory
复制标题

状态空间法和图论的空调系统模块化建模

DOI:
10.1016/j.ijrefrig.2018.11.040
复制
发表时间:
2019-03
影响因子:
3.9
通讯作者:
Wang Shaofan
Wang Shaofan
中科院分区:
工程技术2区
文献类型:
--
作者:
Yao Ye;Chen Jiongde;Feng Jingmei;Wang Shaofan

文献摘要

参考文献

相似文献

为了提高暖通空调系统建模效率,本文采用状态空间法建立暖通空调系统各部件的模块化模型。采用组件模块化模型建立了变风量空调系统的动态系统模型,并通过瞬态响应实验对动态系统模型进行了验证。作为模型应用的实例,结合系统模型研究了基于ARIMA的预测PI控制器对室温的控制效果,结果表明该控制器比传统的PI控制器具有更好的控制效果,并通过实验进行了验证。本文的研究工作对空调系统的动态建模和控制算法的研究具有重要意义。
To improve the modeling efficiency of HVAC system, the modular models for HVAC components are to be established by using the state-space method in this study. The component modular models are used to establish a dynamic system model for a VAV (variable-air-volume) system, and the dynamic system model has been validated by transient response experiments. As an example of model application, the ARIMA-based predictive PI controller for room temperature has been investigated with the system model, which is shown to have the better control effect than the traditional PI controller, and this has been validated by experiments as well. The work in this study will be of significance to the dynamic modeling and control algorithm study of air conditioning systems.
DOI: 10.1016/j.ijheatmasstransfer.2013.04.037
发表时间: 2013-09
影响因子: 5.2
作者:
Ye Yao;Mengwei Huang;J. Mo;Shanqi Dai
通讯作者: Ye Yao;Mengwei Huang;J. Mo;Shanqi Dai
DOI: 10.1016/j.ijrefrig.2015.03.017
发表时间: 2015-07
期刊: International Journal of Refrigeration-revue Internationale Du Froid
影响因子: --
作者:
Kresten K. Sørensen;M. Skovrup;Lars Jessen;J. Stoustrup
通讯作者: Kresten K. Sørensen;M. Skovrup;Lars Jessen;J. Stoustrup
DOI: 10.1016/j.apm.2011.02.006
发表时间: 2011-08
影响因子: 5
作者:
J. Eynard;S. Grieu;M. Polit
通讯作者: J. Eynard;S. Grieu;M. Polit
DOI: 10.1016/j.ijrefrig.2013.05.006
发表时间: 2013-12
期刊: International Journal of Refrigeration-revue Internationale Du Froid
影响因子: --
作者:
Ye Yao;Mengwei Huang;J. Chen
通讯作者: Ye Yao;Mengwei Huang;J. Chen
DOI: 10.1016/j.enbuild.2013.09.016
发表时间: 2014
影响因子: 6.7
作者:
Yan Chen;S. Treado
通讯作者: Yan Chen;S. Treado