Optimal control of combined air conditioning system with variable refrigerant flow and variable air volume for energy saving

2014 ◽  
Vol 42 ◽  
pp. 14-25 ◽  
Author(s):  
Yonghua Zhu ◽  
Xinqiao Jin ◽  
Xing Fang ◽  
Zhimin Du
2018 ◽  
Vol 38 ◽  
pp. 04012
Author(s):  
Sai Feng Xu ◽  
Xing Lin Yang ◽  
Zou Ying Le

For ocean-going vessels sailing in different areas on the sea, the change of external environment factors will cause frequent changes in load, traditional ship air-conditioning system is usually designed with a fixed cooling capacity, this design method causes serious waste of resources. A new type of sea-based air conditioning system is proposed in this paper, which uses the sea-based source heat pump system, combined with variable air volume, variable water technology. The multifunctional cabins’ dynamic loads for a ship navigating in a typical Eurasian route were calculated based on Simulink. The model can predict changes in full voyage load. Based on the simulation model, the effects of variable air volume and variable water volume on the energy consumption of the air-conditioning system are analyzed. The results show that: When the VAV is coupled with the VWV, the energy saving rate is 23.2%. Therefore, the application of variable air volume and variable water technology to marine air conditioning systems can achieve economical and energy saving advantages.


2019 ◽  
Vol 11 (18) ◽  
pp. 5122 ◽  
Author(s):  
Nam-Chul Seong ◽  
Jee-Heon Kim ◽  
Wonchang Choi

This study is aimed at developing a real-time optimal control strategy for variable air volume (VAV) air-conditioning in a heating, ventilation, and air-conditioning (HVAC) system using genetic algorithms and a simulated large-scale office building. The two selected control variables are the settings for the supply air temperature and the duct static pressure to provide optimal control for the VAV air-conditioning system. Genetic algorithms were employed to calculate the optimal control settings for each control variable. The proposed optimal control conditions were evaluated according to the total energy consumption of the HVAC system based on its component parts (fan, chiller, and cold-water pump). The results confirm that the supply air temperature and duct static pressure change according to the cooling load of the simulated building. Using the proposed optimal control variables, the total energy consumption of the building was reduced up to 5.72% compared to under ‘normal’ settings and conditions.


2013 ◽  
Vol 732-733 ◽  
pp. 615-619
Author(s):  
Jia Shi Chen ◽  
Zheng Song Wu ◽  
Yang Liu ◽  
Shan Chi Lin

A model reference adaptive control (MRAC) algorithm is proposed to the air-conditioning system of variable air volume (VAV) terminal units (VAV BOX). The study of temperature controlling parameters in room area (Zone) is based on Lyapunov stability theory. We built the simulation model in Matlab to validate the superior controlling performance and good energy saving effect of the algorithm. The research shows that the energy consumption release 60% ~70% in larger room. In modern building, the energy saving and comfort is very important, so the simulation has important engineering practical value.


2022 ◽  
Vol 87 (791) ◽  
pp. 29-39
Author(s):  
Hitomi IGARASHI ◽  
Takashi AKIMOTO ◽  
Nobuhiro HIRASUGA ◽  
Shun KATO ◽  
Yu SAKAMOTO

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