Microcontroller-Based Energy Saving Control for Air - Conditioning System Using Fuzzy Logic Approaching: An Overview

2006 ◽  
Author(s):  
Zainah Md. Zain ◽  
NorRul Hasma Abdullah ◽  
Abdul Halim Mohd Hanafi
Keyword(s):  
Fuzzy Logic ◽  
Energy Saving ◽  
Air Conditioning ◽  
Air Conditioning System ◽  
Energy Saving Control

A Fuzzy Logic Based on Theoptimal Energy Conservation with Human Satisfaction of the Inverter Air Conditioning System for Tropical Area

2012 ◽  
Vol 622-623 ◽  
pp. 122-129
Author(s):  
Chutima Plodprong ◽  
Worarat Patprakorn ◽  
Pornrapeepat Bhasaputra
Keyword(s):  
Fuzzy Logic ◽  
Energy Saving ◽  
Air Conditioning ◽  
Energy Savings ◽  
Comfort Zone ◽  
Air Conditioning System ◽  
Logic Control ◽  
Matlab Program ◽  
Tropical Area ◽  
Fan Speed

This research is study of the air conditioning by used fuzzy logic control to analysis. It will take into account the energy savings and the room temperature remained in range of comfort zone for the resident's satisfaction. To control % AC compressor and fan speed. The system was simulated and designed simulation model of fuzzy logic controlled on Matlab program to monitor energy consumption and temperature of the room. The results indicate that thermal comfort of the room together with energy saving can be obtained through fuzzy logic controlled .At a temperature setting of 25 °C and defined heat load in the room, the energy saving for the system is calculated to 30.77 % for fuzzy controllers when compared with on-off condition.

The Central Air-Conditioning Energy-Saving Control Technology

2011 ◽  
Vol 250-253 ◽  
pp. 2695-2699 ◽  
Author(s):  
De Bao Lei ◽  
Zhong Hua Tang ◽  
Kai Zhao
Keyword(s):  
Energy Saving ◽  
Air Conditioning ◽  
Control Variable ◽  
State Parameter ◽  
System Control ◽  
Air Conditioning System ◽  
Variable Air Volume ◽  
Central Air Conditioning ◽  
Energy Saving Control ◽  
And Control

With the application of the central air conditioning system widely, it has increased fast the consumption of national energy. This paper analyzes how to control a central air-conditioning system for energy saving, mainly including control characteristics , automatic control component and the control approaches of energy saving. Energy-saving approaches consist of indoor state parameter selection control, variable-speed pump control，variable air volume system control, Storage cold control and control Optimization.

scholarly journals Research on Comprehensive Energy Saving Control Strategy of Air Conditioning

2020 ◽  
pp. 130-140
Author(s):  
Guozeng Wu , Tao Li , Yijin Gang
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Control Strategy ◽  
Air Conditioning ◽  
Control Algorithm ◽  
Environmental Indicators ◽  
Air Conditioning System ◽  
Saving Effect ◽  
Energy Saving Control ◽  
Conditioning Control

On the basis of ensuring the requirements of process air parameters, the air conditioning control should reduce the energy consumption of the air conditioning system to the maximum extent. In this paper, by improving the adjusting speed and stability of the air conditioning system, and according to the process of environmental indicators allow deviation of belt, on the premise of not beyond the maximum technical index requirements by control algorithm to achieve better energy saving effect.

Fuzzy logic based energy saving technique for a central air conditioning system

Energy ◽  
2007 ◽  
Vol 32 (7) ◽  
pp. 1222-1234 ◽  
Author(s):  
S SHAHNAWAZAHMED ◽  
M SHAHMAJID ◽  
H NOVIA ◽  
H ABDRAHMAN
Keyword(s):  
Fuzzy Logic ◽  
Energy Saving ◽  
Air Conditioning ◽  
Air Conditioning System ◽  
Central Air Conditioning ◽  
Energy Saving Technique

scholarly journals Multi-Objective Optimization of Energy Saving Control for Air Conditioning System in Data Center

Energies ◽  
2019 ◽  
Vol 12 (8) ◽  
pp. 1474 ◽  
Author(s):  
Leehter Yao ◽  
Jin-Hao Huang
Keyword(s):  
Energy Saving ◽  
Air Temperature ◽  
Data Center ◽  
Air Conditioning ◽  
Multi Objective Optimization ◽  
Nsga Ii ◽  
Air Conditioning System ◽  
Multi Objective ◽  
Control Scheme ◽  
Energy Saving Control

A multi-objective optimization scheme is proposed to save energy for a data center air conditioning system (ACS). Since the air handling units (AHU) and chillers are the most energy consuming facilities, the proposed energy saving control scheme aims to maximize the saved energy for these two facilities. However, the rack intake air temperature tends to increase if the energy saving control scheme applied to AHU and chillers is conducted inappropriately. Both ACS energy consumption and rack intake air temperature stabilization are set as two objectives for multi-objective optimization. The non-dominated sorting genetic algorithm II (NSGA-II) is utilized to solve the multi-objective optimization problem. In order for the NSGA-II to evaluate fitness functions that are both the ACS total power consumption and AHU outlet cold air temperature deviations from a specified range, neural network models are utilized. Feedforward neural networks are utilized to learn the power consumption models for both chillers and AHUs as well as the AHU outlet cold air temperature based on the recorded data collected in the field. The effectiveness and efficiency of the proposed energy saving control scheme is verified through practical experiments conducted on a campus data center ACS.

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