Simulation on the Energy-Saving Design Model in Construction for Considering the Multi-Level Features

2014 ◽  
Vol 716-717 ◽  
pp. 387-390
Author(s):  
Xiao Xiang

For the drawbacks of construction design and regulation used in our country for long time, like construction rules are far behind, and the energy consumption of the construction process is higher, the energy-saving construction design model based on multi-level features is proposed. Through calculating the energy consumption with hours as units, and quantitative judgment is made, the appropriate formulas are utilized reasonably depending on the circumstances to compute energy consumption of construction, so as to obtain the energy-saving design under the corresponding conditions. This model can be adopted to calculate rational energy consumption, and circumvent, so that ultimately achieving energy saving. At the same time, the initial conditions of construction and matters requiring attention during the construction phase are integrated and discussed, as well as issues such as the weights of design value, as a whole to consider, to minimize the error between the design and construction.

2019 ◽  
Vol 111 ◽  
pp. 06042
Author(s):  
Ziyi Su ◽  
Xiaofeng Li

With the continuous expansion of the subway scale, the amount of energy consumed by subway stations has become a concern, among which the energy consumption of ventilation and air-conditioning (VAC) system takes a large proportion. There are many former studies concentrated on this topic. However, the problems of previous studies are obvious, such as time-consuming and unclear practical meaning of the energy model. This study has proposed a model based on theoretical analysis and focused on the energy model of the VAC system for underground subway stations. The energy model consists of the model for the cooling load and the energy efficient ratio. In this model, basic station information and environmental parameters should be tested and inputted. Then with the help of simple simulation tools, Subway Thermal Environment Simulation Software (STESS), the energy consumption of the station can be fast estimated by the model proposed in this paper. This model can be applied to determine the energy-saving potential of changing operation pattern and adopting energy-saving technologies, which gives guidance to the energy-saving retrofit of the station.


2013 ◽  
Vol 774-776 ◽  
pp. 913-918
Author(s):  
Li Du ◽  
Yu Mei Li ◽  
Cong Hao Li

Base on the process of asphalt pavement construction, analyse the influence factors of energy-saving and emission-reduction in asphalt pavement construction. Research shows thatduring the asphalt pavement construction process, all kinds of construction machinery are the main source of energy consumption and emissions; Asphalt mixture also emission part of gases itself, which closely related with the heating temperature of the mixture.


2015 ◽  
Vol 8 (1) ◽  
pp. 206-210 ◽  
Author(s):  
Yu Junyang ◽  
Hu Zhigang ◽  
Han Yuanyuan

Current consumption of cloud computing has attracted more and more attention of scholars. The research on Hadoop as a cloud platform and its energy consumption has also received considerable attention from scholars. This paper presents a method to measure the energy consumption of jobs that run on Hadoop, and this method is used to measure the effectiveness of the implementation of periodic tasks on the platform of Hadoop. Combining with the current mainstream of energy estimate formula to conduct further analysis, this paper has reached a conclusion as how to reduce energy consumption of Hadoop by adjusting the split size or using appropriate size of workers (servers). Finally, experiments show the effectiveness of these methods as being energy-saving strategies and verify the feasibility of the methods for the measurement of periodic tasks at the same time.


Author(s):  
Hui Yang ◽  
Anand Nayyar

: In the fast development of information, the information data is increasing in geometric multiples, and the speed of information transmission and storage space are required to be higher. In order to reduce the use of storage space and further improve the transmission efficiency of data, data need to be compressed. processing. In the process of data compression, it is very important to ensure the lossless nature of data, and lossless data compression algorithms appear. The gradual optimization design of the algorithm can often achieve the energy-saving optimization of data compression. Similarly, The effect of energy saving can also be obtained by improving the hardware structure of node. In this paper, a new structure is designed for sensor node, which adopts hardware acceleration, and the data compression module is separated from the node microprocessor.On the basis of the ASIC design of the algorithm, by introducing hardware acceleration, the energy consumption of the compressed data was successfully reduced, and the proportion of energy consumption and compression time saved by the general-purpose processor was as high as 98.4 % and 95.8 %, respectively. It greatly reduces the compression time and energy consumption.


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