Energy Consumption Analysis of Pulverizing System in Coal-Fired Power Plant

2014 ◽  
Vol 988 ◽  
pp. 564-567
Author(s):  
Ji Li ◽  
Jun Wei

Pulverizing system is the main energy-consumption equipment in coal-fired power plant, so it is of great significance to study energy-saving and optimization of pulverizing system. This paper first analyzes the situation and condition of pulverizing system in large-scale coal-fired power plant in China. According to analysis, coal mill and primary-air fan are the two main energy consumption facilities. Then their energy consumption characteristics, including power consumption and unit power consumption are studied. Subsequently, the energy-saving operation proposal for the pulverizing system is proposed.

Sensors ◽  
2021 ◽  
Vol 21 (5) ◽  
pp. 1800
Author(s):  
Linfei Hou ◽  
Fengyu Zhou ◽  
Kiwan Kim ◽  
Liang Zhang

The four-wheeled Mecanum robot is widely used in various industries due to its maneuverability and strong load capacity, which is suitable for performing precise transportation tasks in a narrow environment. While the Mecanum wheel robot has mobility, it also consumes more energy than ordinary robots. The power consumed by the Mecanum wheel mobile robot varies enormously depending on their operating regimes and environments. Therefore, only knowing the working environment of the robot and the accurate power consumption model can we accurately predict the power consumption of the robot. In order to increase the applicable scenarios of energy consumption modeling for Mecanum wheel robots and improve the accuracy of energy consumption modeling, this paper focuses on various factors that affect the energy consumption of the Mecanum wheel robot, such as motor temperature, terrain, the center of gravity position, etc. The model is derived from the kinematic and kinetic model combined with electrical engineering and energy flow principles. The model has been simulated in MATLAB and experimentally validated with the four-wheeled Mecanum robot platform in our lab. Experimental results show that the accuracy of the model reached 95%. The results of energy consumption modeling can help robots save energy by helping them to perform rational path planning and task planning.


2014 ◽  
Vol 986-987 ◽  
pp. 1383-1386
Author(s):  
Zhen Xing Yang ◽  
He Guo ◽  
Yu Long Yu ◽  
Yu Xin Wang

Cloud computing is a new emerging paradigm which delivers an infrastructure, platform and software as services in a pay-as-you-go model. However, with the development of cloud computing, the large-scale data centers consume huge amounts of electrical energy resulting in high operational costs and environment problem. Nevertheless, existing energy-saving algorithms based on live migration don’t consider the migration energy consumption, and most of which are designed for homogeneous cloud environment. In this paper, we take the first step to model energy consumption in heterogeneous cloud environment with migration energy consumption. Based on this energy model, we design energy-saving Best fit decreasing (ESBFD) algorithm and energy-saving first fit decreasing (ESFFD) algorithm. We further provide results of several experiments using traces from PlanetLab in CloudSim. The experiments show that the proposed algorithms can effectively reduce the energy consumption of data center in the heterogeneous cloud environment compared to existing algorithms like NEA, DVFS, ST (Single Threshold) and DT (Double Threshold).


In connection with the large-scale development of high-rise building projects recently in Russia and abroad and their significant energy consumption, one of the main principles in designing is the use of effective energy-saving technologies. Also, important aspects are reducing energy consumption and neutralizing the environmental impact of tall buildings. The most promising areas in the field of integration of solar modules (planar and concentrating) in the construction of buildings are development of BIPV technologies (roofing, film, facade materials), the integration of solar energy concentrators that do not require biaxial tracking (medium and low concentrations) on the facades and roofs of buildings (parabolic concentrators, lenses, and Fresnel mirrors), integration of highly concentrated modules on the roofs of buildings.


2014 ◽  
Vol 962-965 ◽  
pp. 2445-2451
Author(s):  
Ya Fan Li ◽  
Juan Wang ◽  
Xin Tian

This paper firstly analyzed the current situation of integrated passenger transportation hub, putting forward the integrated passenger transportation hub had a strong advantage on developing green low-carbon economy. And then based on the energy consumption analysis of integrated passenger transportation hub, energy saving and emission reduction management measures were proposed.


2012 ◽  
Vol 524-527 ◽  
pp. 1217-1222 ◽  
Author(s):  
Zhi Qiang Huang ◽  
Zhen Chen ◽  
Gang Zheng ◽  
Jian Qiang Xue ◽  
Xue Yuan Li

With the characteristics of low permeability, pressure and abundance, it's extremely hard to exploit the super low permeability reservoirs in ChangQing oil field. For this reason, the water injection recovery technique has been widely used. Analysis showed that a serious problem of high energy consumption exist in the water injection system, the power consumption of which accounts for about 44%. And the energy cost of pump units reach up to 43%, it's the highest energy consumption link in the system. In this paper the load rate classification method (LRCM) is firstly adopted to statistical analyze water injection stations, which are divided into the owing and over load rate stations. As a result, the owing load rate stations accounts for 83.8%, with a serious phenomenon of the Big Horse Pull A Small Carriage, causing the large-scale backflow in the station, and the efficiency is low, the energy consumption is on the high side. Aimed at water injection stations with different load rate, the methods of reasonable shutting down the pumps, pump replacement, optimizing the transmission ratio and piston size, as well as the speed control technology have been used to make the outlet flow and actual demand reasonable matching. The test result shows that the energy saving technology is well targeted, simple, practical and low cost. The pump units’ efficiency improves obviously, the consumption reduces by 10%, which greatly improve the oilfield economic benefits.


2014 ◽  
Vol 672-674 ◽  
pp. 518-521
Author(s):  
Li Fei Song ◽  
Tao Li ◽  
Qi Fen Li ◽  
Lin Hui Zhao ◽  
Xin Zhao ◽  
...  

In this paper, the Unicom's medium-sized IDC room in a city of northern China is the research object for the study. Based on field research of the room refrigeration conditions, data center room air conditioning system is carried out to optimize and for energy conservation research. Through the analytic methods of energy saving-technology, the best energy saving solutions is explored.


2012 ◽  
Vol 605-607 ◽  
pp. 566-569
Author(s):  
Rong Mao Zheng

In order to layout convenient the wireless sensor node generally used battery for power supply, the node require working up to several months or even years but battery replacement was difficult or impossible. In this paper, research does not affect the function of WSN how to save the node energy consumption, which can work more time in large-scale collection, processing and communication of complex environmental data. Results show that the energy-saving technologies can be to reduce the energy consumption of 55.6%, which can greatly extend the working life of the wireless sensor node battery.


2015 ◽  
Vol 744-746 ◽  
pp. 2318-2323
Author(s):  
Xiao Rui Liu ◽  
Shu Hui Xu ◽  
Yang Guo ◽  
Qing Ru Hao

The main purpose of this test is to analysis heating energy consumption in new rural apartments in north china. At the first, we analysis the present situation of energy consumption and feature for new apartment in north china, then we proposed the measures to improve the performance of energy saving thermal insulation in new apartment in the area of north china, we conducted comparative analysis for energy consumption in new apartment before and after energy saving.


2018 ◽  
Vol 239 ◽  
pp. 01044 ◽  
Author(s):  
Victor Pevzner ◽  
Uriy Romen ◽  
Kirill Shapetko

The paper analyses international practices of energy saving for train traction. It describes methods that allow decrease of power consumption. Russian practices of energy consumption for train traction are reviewed, as well as methods for determining the power consumption related to condition of track layout geometry. Best practices of evaluation of impact of profile elevation unevenness to the train traction energy consumption are presented. The calculations that allow matching the data on track geometry before and after track maintenance works are performed, and the convictions concerning cost reduction for train traction energy saving are developed.


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