Development of Multi-functional Sensor Module for Energy Saving Air Conditioner System

2012 ◽  
Author(s):  
Shinji Ueki ◽  
Hiroshi Imamoto ◽  
Koji Ando ◽  
Tsukasa Fujimori ◽  
Susumu Sugiyama ◽  
...  
Keyword(s):  
Energy Saving ◽  
Air Conditioner ◽  
Sensor Module

An Implementation of Demand Side Energy Management for Refined Load Control

2015 ◽  
Vol 1092-1093 ◽  
pp. 409-413
Author(s):  
Xiao Ming Jin ◽  
Xue Lin Zhao ◽  
Kun Qi Jia ◽  
Guang Yu He
Keyword(s):  
Energy Saving ◽  
Energy Management ◽  
Energy Demand ◽  
Air Conditioner ◽  
Demand Side ◽  
Zigbee Network ◽  
Remote Controller ◽  
Cost Efficient ◽  
End Use ◽  
And Control

Demand Side Energy Management System (DSEMS) manages energy demand by controlling end-use appliances in a refined, energy-saving, cost-efficient and user-friendly way. The DSEMS runs on an Android tablet computer, which serves as energy gateway to communicate with two types of controllers via ZigBee network. Smart sockets connected to the ZigBee network will monitor and control plug-in loads and IR remote controller (IRRC) for air-conditioner temperature setting. The proposed system has been installed in an apartment with over 24 rooms as a paradigm, which proved that the DSEMS can realize the autonomous energy-saving via real-time surveillance and control on household appliances.

Studies on the Heat-Resistance and Energy-Saving of the Eco-Roof in Southern Urban Districts

2012 ◽  
Vol 209-211 ◽  
pp. 1862-1866
Author(s):  
Sai Jun Zhou ◽  
Bo Zhi Ren ◽  
Chang Su
Keyword(s):  
Heat Resistance ◽  
Thermal Property ◽  
Energy Saving ◽  
Green Roof ◽  
Air Conditioner ◽  
Contrastive Study ◽  
Urban Districts ◽  
The Common

Roof is one of the main structures of a building, and it plays an important role in improving the degree of indoor thermal conformability so as to reduce the using of air-conditioner. Through a contrastive study on eco-roof and the common roof in a certain living district in Xiangtan City, the article comes to the conclusion: the water-storing green roof can enhance the urban eco-environment, modulate the indoor thermal property and decrease the using of air-conditioner.

Performance of Energy-saving and Water-saving for Household Air Conditioner in Chongqing

2013 ◽  
Vol 13 (16) ◽  
pp. 3233-3238
Author(s):  
Yueer He ◽  
Meng Liu ◽  
Xiaobo Wu ◽  
Chunyu Huang ◽  
Yusong Man
Keyword(s):  
Energy Saving ◽  
Water Saving ◽  
Air Conditioner

Energy Saving Effect of Novel Desiccant Air Conditioner for Zero Emission House

2012 ◽  
pp. 130-135 ◽  
Author(s):  
Shun Hirano ◽  
Chanyong Park ◽  
Tsukasa Hori ◽  
Yoshinori Hisazumi ◽  
Tsutomu Wakabayashi ◽  
...  
Keyword(s):  
Energy Saving ◽  
Air Conditioner ◽  
Zero Emission ◽  
Saving Effect

Estimation Method of Temperature Distribution and Energy Saving Technology of Air Conditioner in Data Center

2013 ◽  
Author(s):  
Kentaro Sano ◽  
Hayato Shimizu ◽  
Yoshihiro Kondo ◽  
Takayuki Fujimoto
Keyword(s):  
Energy Saving ◽  
Data Center ◽  
Estimation Method ◽  
Inlet Temperature ◽  
Measured Temperature ◽  
Air Conditioner ◽  
Allocation System ◽  
Optimization Control ◽  
Precise Prediction ◽  
Energy Saving Technology

Reducing the energy consumption of a data center has recently become important because the data center market is rapidly expanding. We developed the “IT-facility linkage system” to deal with this energy saving requirement. This system reduces the amount of energy consumed in a data center by linking two systems, one is the optimized server load allocation system and the other is the air conditioning optimization control system. One of the key technologies of the “IT-facility linkage system” is the precise prediction of the server inlet temperature. If we can comprehend the future temperature distributions, we can reduce the amount of energy consumed in a data center by consolidating the IT load to the more effectively cooled servers. We carried out computational thermal fluid dynamics to predict server inlet temperatures and evaluated the prediction precision by comparing the measured temperature data for this paper. As a result, we found out that when we use a detailed rack model and reproduce the characteristic air flow of a data center such as the recirculation, we can precisely predict the server inlet temperature to within less than one degree.

Sign in / Sign up

Export Citation Format

Share Document