scholarly journals Application of energy-saving control strategy in air conditioning terminal equipment based on constant temperature difference of chilled water

2021 ◽  
pp. 101409
Author(s):  
Zubing Mao ◽  
Feilong Li ◽  
Qianjin Su ◽  
Zhaosong Fang ◽  
Xiaoning Xu ◽  
...  
Keyword(s):  
Energy Saving ◽  
Constant Temperature ◽  
Temperature Difference ◽  
Control Strategy ◽  
Air Conditioning ◽  
Chilled Water ◽  
Energy Saving Control ◽  
Terminal Equipment

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.

Improvement of variable refrigerant flow system performance using energy saving control strategy and chilled water storage

2018 ◽  
Vol 24 (5) ◽  
pp. 483-491 ◽  
Author(s):  
Xiaojie Lin ◽  
Jiazhen Ling ◽  
Yunho Hwang ◽  
Reinhard Radermacher ◽  
Byungsoon Kim
Keyword(s):  
Energy Saving ◽  
Control Strategy ◽  
System Performance ◽  
Flow System ◽  
Water Storage ◽  
Chilled Water ◽  
Energy Saving Control

A multi-objective operation strategy optimization for ice storage systems based on decentralized control structure

2020 ◽  
Vol 42 (1) ◽  
pp. 62-81
Author(s):  
Yanhuan Ren ◽  
Junqi Yu ◽  
Anjun Zhao ◽  
Wenqiang Jing ◽  
Tong Ran ◽  
...  
Keyword(s):  
Energy Saving ◽  
Decentralized Control ◽  
Optimization Algorithm ◽  
Control Strategy ◽  
Load Distribution ◽  
Air Conditioning ◽  
Control Structure ◽  
Ice Storage ◽  
Swarm Optimization ◽  
Multi Objective

Improving the operational efficiency of chillers and science-based planning the cooling load distribution between the chillers and ice tank are core issues to achieve low-cost and energy-saving operations of ice storage air-conditioning systems. In view of the problems existing in centralized control architecture applied in heating, ventilation, and air conditioning, a distributed multi-objective particle swarm optimization improved by differential evolution algorithm based on a decentralized control structure was proposed. The energy consumption, operating cost, and energy loss were taken as the objectives to solve the chiller’s hourly partial load ratio and the cooling ratio of ice tank. A large-scale shopping mall in Xi’an was used as a case study. The results show that the proposed algorithm was efficient and provided significantly higher energy-savings than the traditional control strategy and particle swarm optimization algorithm, which has the advantages of good convergence, high stability, strong robustness, and high accuracy. Practical application: The end equipment of the electromechanical system is the basic component through the building operation. Based on this characteristic, taken electromechanical equipment as the computing unit, this paper proposes a distributed multi-objective optimization control strategy. In order to fully explore the economic and energy-saving effect of ice storage system, the optimization algorithm solves the chillers operation status and the load distribution. The improved optimization algorithm ensures the diversity of particles, gains fast optimization speed and higher accuracy, and also provides a better economic and energy-saving operation strategy for ice storage air-conditioning projects.

Energy Saving Control Strategy for the High-Frequency Start-up Process for Electric Mining Haul Trucks

2018 ◽  
Vol 3 (4) ◽  
pp. 595-606 ◽  
Author(s):  
Yingjie Zhang ◽  
Ying Zhang ◽  
Zhaoyang Ai ◽  
Yun Feng ◽  
Wei Cheng ◽  
...  
Keyword(s):  
Energy Saving ◽  
Control Strategy ◽  
High Frequency ◽  
Start Up ◽  
Energy Saving Control
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