Sort by:
Publication Type:
Open access:
Publication Date:
Periodicals:
Search results
Online since: October 2013
Authors: Xu Mei Chen, Yun Zhu, Zhen Yu Li, Xiao Xi Yu
With the survey data from 4cities in China (Jinan, Shanghai, Shenzhen and Chengdu), this article clarifies the policy environment and technology status, makes a policy assessment for the policies on promoting clean vehicles in China, analyzes the effectiveness of emission reduction cost and benefits, and proposes policy recommendations for promoting clean energy vehicles in place of the conventional vehicles in Chinese cities.
At thelocal level, the rules and regulations for urban public transport, which include the promotion of clean energy vehicles, have been successively promulgated in Hangzhou, Harbin, Guangzhou, Beijing and other cities specifically as follows:, DATA SOURCES In cities in China, the promotion processvaries from city to city.
Pollutant emission reduction was about 42.4 t and 279.8 t in 2010 and 2011 respectively, and 760.4 t in 2012.The expected pollutant emission reduction is about 1606 t in 2015.
Table2 Analysis of Economic Benefits of Fuel Oil per K9(12m) Bus in Shenzhen Vehicle Daily mileage Per vehicle Kilometer Operating days per year oil price (RMB/L) Electricity price (RMB/kWh) Fuel consumption (L/kWh) Operation cost (RMB/year) Fuel bus 250 353 7.76 40 273928 BYD K9 250 353 0.2788 120 29525 (Data source: survey data of China Academy of Transportation Sciences) POLICY RECOMMENDATIONS FOR PROMOTING CLEAN ENERGY VEHICLES IN URBAN TRANSPORT SECTOR a.include new energy vehicles for urban public transport in the evaluation index system for transit metropolis construction.
ACKNOWLEDGEMENTS This research was funded by the UK Special Prosperity Fund.The authors thank the Li Lailai, Song Zu and Zhang Jingfor their contribution in collecting technical data for this research.
At thelocal level, the rules and regulations for urban public transport, which include the promotion of clean energy vehicles, have been successively promulgated in Hangzhou, Harbin, Guangzhou, Beijing and other cities specifically as follows:, DATA SOURCES In cities in China, the promotion processvaries from city to city.
Pollutant emission reduction was about 42.4 t and 279.8 t in 2010 and 2011 respectively, and 760.4 t in 2012.The expected pollutant emission reduction is about 1606 t in 2015.
Table2 Analysis of Economic Benefits of Fuel Oil per K9(12m) Bus in Shenzhen Vehicle Daily mileage Per vehicle Kilometer Operating days per year oil price (RMB/L) Electricity price (RMB/kWh) Fuel consumption (L/kWh) Operation cost (RMB/year) Fuel bus 250 353 7.76 40 273928 BYD K9 250 353 0.2788 120 29525 (Data source: survey data of China Academy of Transportation Sciences) POLICY RECOMMENDATIONS FOR PROMOTING CLEAN ENERGY VEHICLES IN URBAN TRANSPORT SECTOR a.include new energy vehicles for urban public transport in the evaluation index system for transit metropolis construction.
ACKNOWLEDGEMENTS This research was funded by the UK Special Prosperity Fund.The authors thank the Li Lailai, Song Zu and Zhang Jingfor their contribution in collecting technical data for this research.
Online since: February 2011
Authors: Xin Na Tian, You Hong Xiao, Wen Ping Zhang, Yong Wei Chen
The most potential method of selective catalytic reduction (SCR) to remove NOx from diesel engine emissions is very effective in NOx reduction with an efficiency up to 95%.
From the principles of physisorption measurement with nitrogen, the BET surface area of catalysts was calculated in a combination with use of the data obtained from the isothermal lines at a pressure ranged from 0.1-1.0 bar.
The measured data of the BET surface are shown in Table 1.
X-Ray Diffraction (XRD) is an effective method in identifying structures and constitutes of a catalyst where the measured data is compared with a standard XRD spectrum.
Data acquisition was carried out with a measurement step of 0.8 eV.
From the principles of physisorption measurement with nitrogen, the BET surface area of catalysts was calculated in a combination with use of the data obtained from the isothermal lines at a pressure ranged from 0.1-1.0 bar.
The measured data of the BET surface are shown in Table 1.
X-Ray Diffraction (XRD) is an effective method in identifying structures and constitutes of a catalyst where the measured data is compared with a standard XRD spectrum.
Data acquisition was carried out with a measurement step of 0.8 eV.
Online since: December 2012
Authors: Lin Ping Guo, Shu Wang Yan
The space averaged method is employed to analyze the scale of fluctuation of soil in the vertical direction of Tianjin combining geology data, and regional representative values are obtained, which is of high application value on risk assessment and reliability analysis in geotechnical engineering.
Introduction Test data of soil properties indexes just represents characteristics of points, not space average properties.
In this paper, the two main methods are introduced, and geology data of Tianjin Port is analyzed and the correlation distance of this area is obtained, which can be applied to practical project.
Compared with other sampling tests, sampling distance of cone penetration test is smaller, for which more data can be obtained in the same soil layer; and more cones in the lateral direction can reflect more truthfully of the soil profile.
(3) Bayes theory provides an approach to employ existing similar engineering experience, which is of highly importance to summarize regional data of correlation distance.
Introduction Test data of soil properties indexes just represents characteristics of points, not space average properties.
In this paper, the two main methods are introduced, and geology data of Tianjin Port is analyzed and the correlation distance of this area is obtained, which can be applied to practical project.
Compared with other sampling tests, sampling distance of cone penetration test is smaller, for which more data can be obtained in the same soil layer; and more cones in the lateral direction can reflect more truthfully of the soil profile.
(3) Bayes theory provides an approach to employ existing similar engineering experience, which is of highly importance to summarize regional data of correlation distance.
Online since: August 2012
Authors: Jiang Han, Hua Zhai, Lian Xia, Hai Jin Huang
Get in neural network after the test data repository and simulation.
What’s more only with the experience of site technical personnel or simple fault data base it is very hard to find where the fault is and remove the failure.
Select the first result set, then the reduction rate[9] will be: e=25%.
Carry out the attribute reduction of the Table 1 with the Rosetta, a data and spreadsheet tool based on the rough set theory, and then we can achieve the simplest fault logic rule table, the results as shown in Table 2 below.
, DF1, DF2, DF3, DF4, DF5, DF6, DF7 as the output data.
What’s more only with the experience of site technical personnel or simple fault data base it is very hard to find where the fault is and remove the failure.
Select the first result set, then the reduction rate[9] will be: e=25%.
Carry out the attribute reduction of the Table 1 with the Rosetta, a data and spreadsheet tool based on the rough set theory, and then we can achieve the simplest fault logic rule table, the results as shown in Table 2 below.
, DF1, DF2, DF3, DF4, DF5, DF6, DF7 as the output data.
Online since: August 2014
Authors: Xiu Ying Jiang, Qing Yun Chi, Zhen Hao
., Ltd, Hangzhou, 310053, China
aCQYSD@163.com,bHaoz@163.com,c jiangxiuyingxyz@163.com
Keywords: Data mining, Association rules, Aprior, SQL.
Introduction Association rule mining is one of the most active research branches in the field of data mining.
When search for other frequent item sets Using dimensionality reduction methods, rather than the iterative method.
Transaction Database Represented with Binary Variables Let Transaction database relational model be R (TID, I1, I2… Im), each tuple of data using binary variable.
[3] Jiawei Han, Michelins.”Data Mining Concepts and Techniques”. (2001)
Introduction Association rule mining is one of the most active research branches in the field of data mining.
When search for other frequent item sets Using dimensionality reduction methods, rather than the iterative method.
Transaction Database Represented with Binary Variables Let Transaction database relational model be R (TID, I1, I2… Im), each tuple of data using binary variable.
[3] Jiawei Han, Michelins.”Data Mining Concepts and Techniques”. (2001)
Online since: February 2014
Authors: Bing Shan Liu
The selective catalyst reduction (SCR) schemes therefore were investigated to find out the suitable solution for the DMCC engine emissions improving.
So far, the DMCC engine with methanol fumigation has been shown considerable fuel cost reduction by replacing part of diesel fuel with methanol.
The reasons for total NOX failing to be reduced could be very complex, but at least two factors could be firmly confirmed according to related data.
For B50 and B25, parts of NO2 were reverted to NO, meaning reduction reactions dominated.
The variation ranges of NO2 percentage reflected that the lower the temperature is, the stronger the reduction action is.
So far, the DMCC engine with methanol fumigation has been shown considerable fuel cost reduction by replacing part of diesel fuel with methanol.
The reasons for total NOX failing to be reduced could be very complex, but at least two factors could be firmly confirmed according to related data.
For B50 and B25, parts of NO2 were reverted to NO, meaning reduction reactions dominated.
The variation ranges of NO2 percentage reflected that the lower the temperature is, the stronger the reduction action is.
Online since: March 2013
Authors: Chun Xiang Qian, Yun Tian Zhu, Li Li, Yong Hao Zhao
A sand column prepared for experimental data and a set of engineering equations for 1-D numerical modeling data of the sand cementation process were adopted.
Clearly, the feature of the modeling data was in resemblance with the one of the experimental data.
The constant of linear reduction of urea hydrolysis rate varied from 0.0009 mM/h2, 0.0015 mM/h2 to 0.002 mM/h2, which represented an inspiring approach to modify the numerical data.
Obviously, the feature of the modeling data (Fig. 5a) was in resemblance with the one of the experimental data (Fig. 4b).
The experimental data were presented in Fig. 5b.
Clearly, the feature of the modeling data was in resemblance with the one of the experimental data.
The constant of linear reduction of urea hydrolysis rate varied from 0.0009 mM/h2, 0.0015 mM/h2 to 0.002 mM/h2, which represented an inspiring approach to modify the numerical data.
Obviously, the feature of the modeling data (Fig. 5a) was in resemblance with the one of the experimental data (Fig. 4b).
The experimental data were presented in Fig. 5b.
Online since: September 2013
Authors: Fawaz Mohsen Abdullah, A.K.M. Nurul Amin, Ummu Atiqah Khairiyah B. Mohammad, Muammer Din Arif
All the data recorded under the application of the magnet were analyzed and compared with the same collected under identical conditions during conventional machining process.
From the FFT plots of the vibration data (samples shown in Fig. 2 & 3) two peak acceleration amplitudes are identified in the wide frequency range from 0-7,500 Hz.
Fig. 5: Percentage Reduction of acceleration amplitude due to the application of magnet Effect of cutting parameters on percentage reduction of acceleration amplitude.
To evaluate the influence of the individual machining parameters on percentage reduction of acceleration amplitude, single factor plots of the percentage reductions were generated.
The maximum reduction of acceleration amplitude was 73.43% and an average reduction of 31.58%.
From the FFT plots of the vibration data (samples shown in Fig. 2 & 3) two peak acceleration amplitudes are identified in the wide frequency range from 0-7,500 Hz.
Fig. 5: Percentage Reduction of acceleration amplitude due to the application of magnet Effect of cutting parameters on percentage reduction of acceleration amplitude.
To evaluate the influence of the individual machining parameters on percentage reduction of acceleration amplitude, single factor plots of the percentage reductions were generated.
The maximum reduction of acceleration amplitude was 73.43% and an average reduction of 31.58%.
Online since: September 2010
Authors: Ryutaro Tanaka, Akira Hosokawa, Takashi Ueda, Tatsuaki Furumoto, Mohd Sanusi Abdul Aziz
This paper deals with the reduction of residual stress induced during the selective laser
melting with a mixture of ferrous based metal powder.
This paper deals with the reduction of residual stress induced during the layered manufacturing processes.
The laser beam then was irradiated to the powdered surface through a galvanometer mirror, and scanned on it with programmed NC data.
Reduction of residual stress To investigate the influence of heat treatment to the beam model on the reduction of residual stress within the consolidated structure, the effect of preheating and post heating of the beam model was examined.
The preheating was performed to the base plate surface to investigate the reduction of residual stress on the base plate.
This paper deals with the reduction of residual stress induced during the layered manufacturing processes.
The laser beam then was irradiated to the powdered surface through a galvanometer mirror, and scanned on it with programmed NC data.
Reduction of residual stress To investigate the influence of heat treatment to the beam model on the reduction of residual stress within the consolidated structure, the effect of preheating and post heating of the beam model was examined.
The preheating was performed to the base plate surface to investigate the reduction of residual stress on the base plate.
Online since: June 2012
Authors: Li Guo, Huan Qin Zhu, Yuan Bao Sun
It thus seems that wear reduction by PTFE is specific to the polymer and the reasons for the anomaly are not known.
Whereas MoS2 reduced the wear rates of these polymers, the reduction of the coefficient was not observed.
Mass loss was converted into volume loss for plotting the wear data using the computed density values based on the composition.
There was also a reduction in wear rate but it was still too high for practical usage.
The reduction was, however, much greater when PTFE was also included as the filler.
Whereas MoS2 reduced the wear rates of these polymers, the reduction of the coefficient was not observed.
Mass loss was converted into volume loss for plotting the wear data using the computed density values based on the composition.
There was also a reduction in wear rate but it was still too high for practical usage.
The reduction was, however, much greater when PTFE was also included as the filler.