Affiliation:
1. Development Planning Office, China Civil Aviation Flight Academy, Section 4, Nanchang Road, Guanghan City, Sichuan Province, 618300, China
Abstract
Abstract
In order to reduce the cost of central air conditioning, we need to reduce its energy consumption. This paper briefly introduced Internet of Things and the energy-saving and comfort monitoring system of central air conditioning based on the Internet of Things. The system took comfort degree as constraint and energy efficiency as objective to control energy saving of central air conditioning. Company X in Guanghan, Sichuan, China, was taken as an example for analysis. The system was compared with the energy-saving control system which took temperature and power as constraints. Compared with before the energy-saving control, the proportion of air conditioning downtime in the working hours of employees increased after the implementation of the two kinds of energy-saving control systems, and the proportion of downtime under the energy-saving control system designed in this study was larger; in addition, after the control of the two kinds of energy-saving systems, the energy efficiency of the air conditioning significantly improved, and the air conditioning under the control of the energy-saving system proposed in this study had more improvement in energy efficiency and higher energy-saving efficiency. The energy-saving control method proposed in this study can effectively reduce the power consumption of the central air conditioning in the office.
Publisher
Oxford University Press (OUP)
Subject
General Environmental Science,Architecture,Civil and Structural Engineering
Reference9 articles.
1. A survey on energy conserving mechanisms for the internet of things: Wireless networking aspects;Abbas;Sensors,2015
2. Performance prediction of room air conditioners and optimization of control strategy for energy conservation;Wu;Heat Transfer Eng,2017
3. Retrofit of air conditioning systems through an wireless sensor and actuator network: An IoT-based application for smart buildings;Medina;2017 IEEE 14th International Conference on Networking, Sensing and Control (ICNSC),2017
4. Green data center with IoT sensing and cloud-assisted smart temperature control system;Liu;Comput Netw,2016
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献