scholarly journals Air Conditioning Energy Saving from Cloud-Based Artificial Intelligence: Case Study of a Split-Type Air Conditioner

Energies ◽  
2020 ◽  
Vol 13 (8) ◽  
pp. 2001 ◽  
Author(s):  
Dasheng Lee ◽  
Fu-Po Tsai
Keyword(s):  
Artificial Intelligence ◽  
Energy Efficiency ◽  
Energy Saving ◽  
Pid Control ◽  
Air Conditioning ◽  
Efficiency Index ◽  
Air Conditioner ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Air Conditioners

This study developed cloud-based artificial intelligence (AI) that could run AI programs in the cloud and control air conditioners remotely from home. AI programs in the cloud can be altered any time to provide good control performances without altering the control hardware. The air conditioner costs and prices can thus be reduced by the increasing energy efficiency. Cloud control increased energy efficiency through AI control based on two conditions: (1) a constant indoor cooling rate and (2) a fixed stable range of indoor temperature control. However, if the two conditions cannot be guaranteed or the cloud signals are lost, the original proportional-integral-differential (PID) control equipped in the air conditioner can be used to ensure that the air conditioner works stably. The split-type air conditioner tested in this study is ranked eighth among 1177 air conditioners sold in Taiwan according to public data. It has extremely high energy efficiency, and using AI to increase its energy efficiency was challenging. Thus, this study analyzed the literature of AI-assisted controls since 1995 and applied it to heating, ventilation, and air conditioning equipment. Two technologies with the highest energy saving efficiency, a fuzzy + PID and model-based predictive control (MPC), were chosen to be developed into two control methodologies of cloud-based AI. They were tested for whether they could improve air conditioning energy efficiency. Energy efficiency measurement involved an enthalpy differential test chamber. The two indices, namely the energy efficiency ratio (EER) and cooling season power factor (CSPF), were tested. The EER measurement is the total efficiency value obtained when testing the required electric power at the maximum cooling capacity under constantly controlled temperature and humidity. CSPF is the tested efficiency value under dynamic conditions from changing indoor and outdoor temperatures and humidity according to the climate conditions in Taiwan. By using the static energy efficiency index EER for evaluation, the fuzzy + PID control could not save energy, but MPC increased the EER value by 9.12%. By using the dynamic energy efficiency index CSPF for evaluation, the fuzzy + PID control could increase CSPF by 3.46%, and MPC could increase energy efficiency by 7.37%.

Intelligent Information Control for Air System

2013 ◽  
Vol 310 ◽  
pp. 502-505
Author(s):  
Jun Zhou
Keyword(s):  
Pid Control ◽  
Pid Controller ◽  
Air Conditioning ◽  
Information Control ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Air Conditioning System ◽  
Adaptive Fuzzy ◽  
Technical Requirements ◽  
Adaptive Fuzzy Pid Control

PID control has been widely applied in the industrial process control because of its robust and easy realization, but it is difficult to tune the parameters of PID controller, which often leads to oscillation and overshoot. Due to no repetition and random of adaptive fuzzy PID control, the authors propose a method to search for normalization PID controller parameters based on adaptive fuzzy PID control, which can be expected to have higher ability of searching for global optimal PID parameters according to the performance index of control system . The MATLAB simulation of the Adaptive fuzzy PID controller and a PID controller were carried out on the Air Conditioning System temperature. Results showed that: Response time of Adaptive fuzzy PID was 0.46 s., and maximum overshoot didn’t exceed 3.29%.The stability accuracy and rapidity of the system were able to satisfy the Air Conditioning System technical requirements.

The Temperature Control Based on the AHU of Fuzzy-PID

2013 ◽  
Vol 427-429 ◽  
pp. 537-540
Author(s):  
Xiang Dong Wang ◽  
Xin Wang ◽  
Jing Liang Wei ◽  
Shu Jiang Li
Keyword(s):  
Energy Consumption ◽  
Air Conditioning ◽  
Control Method ◽  
Air Conditioner ◽  
Fuzzy Pid ◽  
Control Effect ◽  
Fuzzy Pid Control ◽  
General Control ◽  
Input Quantity ◽  
Central Air Conditioning

Air conditioner unit which is a significant part of central air-conditioning is a multiinput-multioutput system.Because the input quantity of it is related with each other and influenced by multifarious interference, an ideal control effect is unavailable by general control method. It is also the main unit of energy consumption, so the refrigeration effect and the energy consumption of the central air-conditioning are determined by the control effect and efficiency of it. A neural network model is made according to the unit of air handing and controlled by the strategy of fuzzy-PID. It is proved by experiment that favorable control effect is available in case that the fuzzy-PID control strategy meets requirements when either there is interference or the target quantity changes.

Research of Energy Saving Control for Central Air-Conditioning Based on Adaptive Fuzzy PID Method

2012 ◽  
Vol 204-208 ◽  
pp. 4286-4291
Author(s):  
Jian Min Sun ◽  
Chun Dong Zhang ◽  
Ze Yang Zhou
Keyword(s):  
Energy Saving ◽  
Pid Controller ◽  
Air Conditioning ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Adaptive Fuzzy ◽  
Fuzzy Pid Controller ◽  
Chilled Water ◽  
Central Air Conditioning ◽  
Value Determination

Central air-conditioning control system have characteristics of susceptible to outside interference, nonlinear, time-varying, hysteresis and difficult to build precise mathematical model. Central air conditioning chilled water system with variable water flow was taken as subject. According to the principle of energy saving, on the basis of traditional PID controller, adaptive fuzzy PID controller was designed. Fuzzy control algorithm determines the choice of parameters of PID controller KP、KI、KD , with which, then, regulate the output of adaptive fuzzy PID controller; Finally the output value determination of the operation frequency of the chilled water pumps. Compared with conventional system temperature control, adaptive fuzzy PID control in central air conditioning system has good energy-saving effect.

scholarly journals Optimal Air Conditioner Placement Using a Simple Thermal Environment Analysis Method for Continuous Large Spaces with Predominant Advection

Energies ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4663
Author(s):  
Tatsuhiro Yamamoto ◽  
Akihito Ozaki ◽  
Myonghyang Lee
Keyword(s):  
Air Conditioning ◽  
Thermal Environment ◽  
Fluid Dynamic ◽  
Optimal Placement ◽  
Air Conditioner ◽  
Analysis Method ◽  
Computational Fluid Dynamic Analysis ◽  
Environment Analysis ◽  
Air Conditioners ◽  
Energy Simulations

The number of houses with large, continuous spaces has increased recently. With improvements in insulation performance, it has become possible to efficiently air condition such spaces using a single air conditioner. However, the air conditioning efficiency depends on the placement of the air conditioner. The only way to determine the optimal placement of such air conditioners is to conduct an experiment or use computational fluid dynamic analysis. However, because the analysis is performed over a limited period, it is difficult to consider non-stationarity effects without using an energy simulation. Therefore, in this study, energy simulations and computational fluid dynamics analyses were coupled to develop a thermal environment analysis method that considers non-stationarity effects, and various air conditioner arrangements were investigated to demonstrate the applicability of the proposed method. The accuracy verification results generally followed the experimental results. A case study was conducted using the calculated boundary conditions, and the results showed that the placement of two air conditioners in the target experimental house could provide sufficient air conditioning during both winter and summer. Our results suggest that this method can be used to conduct preliminary studies if the necessary data are available during design or if an experimental house is used.

Sign in / Sign up

Export Citation Format

Share Document