An advanced simulation test bed for the stability analysis of variable air volume air-conditioning control system. Part 1: Optimal simplified model of building envelope for room thermal performance prediction

2018 ◽  
Vol 158 ◽  
pp. 950-963
Author(s):  
Zhi-Ming Yi ◽  
Hang Yu ◽  
Qi Wei ◽  
Xiang-Yang Chu
Keyword(s):  
Performance Prediction ◽  
Air Conditioning ◽  
Building Envelope ◽  
Test Bed ◽  
Simulation Test ◽  
Variable Air Volume ◽  
Air Volume ◽  
System Part ◽  
The Stability ◽  
Conditioning Control

scholarly journals The Analysis for Energy Consumption of Marine Air Conditioning System Based on VAV and VWV

2018 ◽  
Vol 38 ◽  
pp. 04012
Author(s):  
Sai Feng Xu ◽  
Xing Lin Yang ◽  
Zou Ying Le
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Air Conditioning ◽  
Water Volume ◽  
Pump System ◽  
Air Conditioning System ◽  
Variable Air Volume ◽  
Air Volume ◽  
Marine Air ◽  
Variable Water

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.

scholarly journals Optimal Control Strategy for Variable Air Volume Air-Conditioning Systems Using Genetic Algorithms

2019 ◽  
Vol 11 (18) ◽  
pp. 5122 ◽  
Author(s):  
Nam-Chul Seong ◽  
Jee-Heon Kim ◽  
Wonchang Choi
Keyword(s):  
Optimal Control ◽  
Genetic Algorithms ◽  
Control Strategy ◽  
Air Conditioning ◽  
Static Pressure ◽  
Hvac System ◽  
Total Energy Consumption ◽  
Optimal Control Strategy ◽  
Variable Air Volume ◽  
Air Volume

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.

scholarly journals Research on the Modeling, Control, and Calibration Technology of a Tracked Vehicle Load Simulation Test Bench

2019 ◽  
Vol 9 (12) ◽  
pp. 2557
Author(s):  
Haoliang Lv ◽  
Xiaojun Zhou ◽  
Chenglong Yang ◽  
Zhe Wang ◽  
Yimeng Fu
Keyword(s):  
Test Bench ◽  
Control Method ◽  
Dynamic State ◽  
Test Bed ◽  
Simulation Test ◽  
Tracked Vehicle ◽  
Resistance Torque ◽  
Model Control ◽  
The Stability ◽  
Load Simulation

The load simulation test bench plays an important role in tracked vehicle development. The stability and accuracy of the system have a vital impact on the experimental results. To accurately reproduce the power performance of a tracked vehicle on the test platform, this paper aims to investigate the model, control, and calibration method of the test bench. Firstly, the dynamic model of a tracked vehicle under complex driving conditions is analyzed and established, which takes driving torque as the input and driving wheel speed as the output. Then, considering the uncertainties and disturbances in the system model, a 2-degree-of-freedom (2-DOF) control method combined with a disturbance observer is proposed to solve the stability problem of the system. Furthermore, in order to investigate the accuracy of the simulation on the test bed, a method of calibrating the system by a flywheel set with standard inertia is proposed. In the calibration process, the influence of the system resistance torque and the original mechanical inertia on the results is considered, and the response time of the inertia simulation is analyzed in both a steady and dynamic state. Finally, the load simulation test is carried out with the corrected system. The test results show that the system has a high load simulation accuracy under various load simulation tests.

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