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Online since: October 2014
Authors: Wan Jun Fu
The Technology of High Efficiency Water Purification
Wan-Jun FU
Northeast Dianli University Jilin city 132012, P R China
fuwanjun2002@163.com
Keywords: Water Purification, Energy Saving, Emission Reduction.
The technology has the advantages of energy saving and emission reduction efficiency greatly, is currently the most advanced water purification.
Quartz sand filter and soft fiber filter the actual data comparison results are shown in Table 2 Table 1 The Water Purity and Filler Interception Capacity Species inlet water suspensions (NTU) out water suspensions (NTU) Interception capacity (g/cm3) Max Min Average Max Min Average Average Quartz sand 23.60 18.10 20.20 6.50 1.52 4.01 0.0125 Soft fiber 23.60 18.10 20.20 1.56 0.40 0.98 0.2450 Table 2 The Water Flow, Filtration Cycle and Cleaning Water Consumption Species The water flow (t/h.m2) filtration cycle (h) cleaning water consumption(%) Max Min Average Max Min Average Average Quartz sand 15 7.5 12.5 23 9 18 3.1 Soft fiber 45.5 22.0 32.0 50 20 36 0.85 Filtration Water Head Loss (Filtration Resistance) In the effective filtration cycle of quartz sand filter, the initial head loss (filtration resistance) increased sharply, linear has been stable in the mid to late filtration rise, greatly, is approximately linear increase.
The technology has the advantages of energy saving and emission reduction efficiency greatly, is currently the most advanced water purification.
Quartz sand filter and soft fiber filter the actual data comparison results are shown in Table 2 Table 1 The Water Purity and Filler Interception Capacity Species inlet water suspensions (NTU) out water suspensions (NTU) Interception capacity (g/cm3) Max Min Average Max Min Average Average Quartz sand 23.60 18.10 20.20 6.50 1.52 4.01 0.0125 Soft fiber 23.60 18.10 20.20 1.56 0.40 0.98 0.2450 Table 2 The Water Flow, Filtration Cycle and Cleaning Water Consumption Species The water flow (t/h.m2) filtration cycle (h) cleaning water consumption(%) Max Min Average Max Min Average Average Quartz sand 15 7.5 12.5 23 9 18 3.1 Soft fiber 45.5 22.0 32.0 50 20 36 0.85 Filtration Water Head Loss (Filtration Resistance) In the effective filtration cycle of quartz sand filter, the initial head loss (filtration resistance) increased sharply, linear has been stable in the mid to late filtration rise, greatly, is approximately linear increase.
Online since: July 2013
Authors: Xian Long Yue
Collection and Application of the Discontinuous Energy
Xianlong Yue
North China Electric Power University, Hebei Baoding 071003
Keywords: Energytransformation, Energycollection, Counting, Energy Conservation and Emission Reduction.
It can save energyconsumption but cater to the idea of energy conservation and emission reduction.
References [1] China's 2010 population census data,China Statistics Press,The National Bureau of statistics of population and social science and Technology Statistics,2012
It can save energyconsumption but cater to the idea of energy conservation and emission reduction.
References [1] China's 2010 population census data,China Statistics Press,The National Bureau of statistics of population and social science and Technology Statistics,2012
Online since: June 2014
Authors: Ying Cai, Ya Jun Wang, Chu Ne Li
Therefore this paper simulated the relative energy saving ratio under performing different energy saving standards, this study further analyzed economy, energy saving and emission reduction.
The ratio of energy-saving and emission reduction of the implementation of the "65% energy-saving standards compared with the implementation of the "50% energy saving standards" and how about the economy, witch is unable to draw by the theoretical analysis or experiment.
The meteorological data used in the simulation are come from typical meteorological year data issued by Technology Department of Tsinghai University and Meteorological Information Center Meteorological data of China Meteorological Administration.
One building annual reduction of CO2 emissions is 398.6t per year, SO2 emissions is 2.8t per year and NO2 emissions is 0.14t per year.
Fatherly, reductions of CO2 emissions is 25×104t per year, SO2 emissions is1800t per year and NO2 emissions is 90t per year in the entire city of Lanzhou.
The ratio of energy-saving and emission reduction of the implementation of the "65% energy-saving standards compared with the implementation of the "50% energy saving standards" and how about the economy, witch is unable to draw by the theoretical analysis or experiment.
The meteorological data used in the simulation are come from typical meteorological year data issued by Technology Department of Tsinghai University and Meteorological Information Center Meteorological data of China Meteorological Administration.
One building annual reduction of CO2 emissions is 398.6t per year, SO2 emissions is 2.8t per year and NO2 emissions is 0.14t per year.
Fatherly, reductions of CO2 emissions is 25×104t per year, SO2 emissions is1800t per year and NO2 emissions is 90t per year in the entire city of Lanzhou.
Online since: July 2011
Authors: Jian Wei Zhang, Yan Qing Song, Sheng Zhao Cheng
This paper analyzes the characteristics of the dam on the basis of measured data, using wavelet decomposition and reconstruction method, taking advantage of wavelet transform to do different frequency bands and signal denoising for dam measured data, effectively extracting original information from the measured data sequence with interference error, introducing a effective method to eliminate errors of measured data.
So when using dam safety monitoring data, we should judge and deal with the noise, eliminate the false and save the truth, make the analysis based on reliable data.
Figure 1 is a comparison between original settle measured data and denoised data with soft-threshold.
As can be seen from the figure, after denoising, the data graph becomes smoother.
Fig.1 Comparison of the signal before and after de-noising Conclusion Dealing with dam safety monitoring data with wavelet analysis, analyzing denoise of monitoring data series.
So when using dam safety monitoring data, we should judge and deal with the noise, eliminate the false and save the truth, make the analysis based on reliable data.
Figure 1 is a comparison between original settle measured data and denoised data with soft-threshold.
As can be seen from the figure, after denoising, the data graph becomes smoother.
Fig.1 Comparison of the signal before and after de-noising Conclusion Dealing with dam safety monitoring data with wavelet analysis, analyzing denoise of monitoring data series.
Online since: February 2012
Authors: Jian Ge, Xiao Zhou, Yan Yan
This research not only provides a method that can calculate CO2 emission of residential buildings, but also provides an effective suggestion to choose appropriate energy saving and CO2 reduction strategy.
Y=X+1.99 (4) where X is the number of floors above the ground and Y is the CO2 emission per unit area. 2.4 The phase of operation of buildings This study has collected data of actual electricity usage of 966 residential buildings in Zhejiang province and has analyzed the CO2 emission of different types of residence in Zhejiang.
The CO2 emission per unit area in this phase is about 24kg/m2.a. 2.5 The phase of demolishment and disposal of buildings Due to the lack of related data, formulas 5 and 6, referred to Taiwanese literature [3], are adopted after comparing related research results.
So the reduction of CO2 emission depends mostly on the work during the usage process of the construction, but the CO2 emission of other phases is not ignored yet. 3.
[3] Zhang Yousheng,Life cycle assessment on the reduction of carbon dioxide emission of buildings, National Cheng Kung University: Doctoral Dissertation,2002
Y=X+1.99 (4) where X is the number of floors above the ground and Y is the CO2 emission per unit area. 2.4 The phase of operation of buildings This study has collected data of actual electricity usage of 966 residential buildings in Zhejiang province and has analyzed the CO2 emission of different types of residence in Zhejiang.
The CO2 emission per unit area in this phase is about 24kg/m2.a. 2.5 The phase of demolishment and disposal of buildings Due to the lack of related data, formulas 5 and 6, referred to Taiwanese literature [3], are adopted after comparing related research results.
So the reduction of CO2 emission depends mostly on the work during the usage process of the construction, but the CO2 emission of other phases is not ignored yet. 3.
[3] Zhang Yousheng,Life cycle assessment on the reduction of carbon dioxide emission of buildings, National Cheng Kung University: Doctoral Dissertation,2002
Online since: October 2011
Authors: Liang Kuan Zhu, Wen Xiu Tang, Mo Zhang, Ying Liu, Xu Fei Lang
This method estimate of the threshold between soft threshold and hard threshold, compared with the previous noise reduction method, this method is more close to reality of wavelet coefficients, in order to provide a good removing noise environment, positioning results more accurate and reliable.
In practical application, especially in the signal noise reduction processing real-time demand high, it is difficult to half-and-half soft threshold coefficient of the best value selection and judgment.
For half a soft threshold algorithm [9] of shortages, it is proposed an improvement half soft threshold algorithm, it can be applied to the transmission line fault detection and noise reduction, will get more effective noise reduction effects [10-11].
The data from figure 4, it can be observed that in A phase fault occurred in 0.02 s to 0.03 s, and detect the timebetween initial traveling wave reached testing point and the timeof reflection wave reached testing point in the M.
Power distribution fault cause identification with imbalanced data using the data mining-based fuzzy classification E-algorithm.
In practical application, especially in the signal noise reduction processing real-time demand high, it is difficult to half-and-half soft threshold coefficient of the best value selection and judgment.
For half a soft threshold algorithm [9] of shortages, it is proposed an improvement half soft threshold algorithm, it can be applied to the transmission line fault detection and noise reduction, will get more effective noise reduction effects [10-11].
The data from figure 4, it can be observed that in A phase fault occurred in 0.02 s to 0.03 s, and detect the timebetween initial traveling wave reached testing point and the timeof reflection wave reached testing point in the M.
Power distribution fault cause identification with imbalanced data using the data mining-based fuzzy classification E-algorithm.
Online since: September 2011
Authors: Tian Bo Liu, Fang Jun Luan, Shou Jin Wang
Compared with the fuzzy sets and probability and statistics, RS merely use the data itself without using the priori knowledge [5, 6].
Before processing the data using the rough set theory, firstly, the data should be discredited, see table 2.
Research and Implementation on Reduction Algorithm of Rough Set [J].
[6] Li Liangbao, Wang Yaowu.Study on Data Standard and Data Exchange[J].
Data Reduction Based on Rough Set Theory and HierarchicAnalysis[J].Journal of Northeastern University (Natural Science), 2008 Vol.29 No.1:22-24.
Before processing the data using the rough set theory, firstly, the data should be discredited, see table 2.
Research and Implementation on Reduction Algorithm of Rough Set [J].
[6] Li Liangbao, Wang Yaowu.Study on Data Standard and Data Exchange[J].
Data Reduction Based on Rough Set Theory and HierarchicAnalysis[J].Journal of Northeastern University (Natural Science), 2008 Vol.29 No.1:22-24.
Online since: December 2014
Authors: Zhi Yuan Yang, Chao Tan, Si Tong Wang, Yan Hong Li
After fractional release pretreatment, the sulfur reduction of Chenghe coal could be reached to 53.10%.
As the temperature exceeded 60℃, sulfur reduction presented a slight decline.
As to Hancheng coal, the data was 92.41% and 18.46%.
There was a slight reduction of thiophene.
There was a slight reduction of thiophene.
As the temperature exceeded 60℃, sulfur reduction presented a slight decline.
As to Hancheng coal, the data was 92.41% and 18.46%.
There was a slight reduction of thiophene.
There was a slight reduction of thiophene.
Online since: May 2012
Authors: Tao Wang, Zheng Yan Wang, Su Zhen Wang
This paper has designed a gyro dynamic data generator for simulation according to the gyro signal characteristics.The signal produced by the generator is specified as the gyro data and the optimal estimator for data fusion is designed by using the Kaman filter algorithm.The multi-segment data is analyzed and identified while the optimal data is estimated .The results show no matter how the correlation of the data is, the fusion data has attenuation of 10dB in noise, with its signal-to-noise ratio being enhanced more than 2 times at least.
At present, apart from improving the design and produce technique, the noise reduction processingt is an efficiency method to enhance the MEMS gyro precision[3,4,5].
Towards to the MEMS dynamic data, the optimal estimator for data fusion is designed by using the Kalman filter algorithm .The multi-segment data is analyzed and identified while the optimal data is estimated.
In order to adjust the collecting data , generator install the framing buffer to observe the data in different time.
In order to observe the energy and the frequency of the data, the data is transformed by FFT.
At present, apart from improving the design and produce technique, the noise reduction processingt is an efficiency method to enhance the MEMS gyro precision[3,4,5].
Towards to the MEMS dynamic data, the optimal estimator for data fusion is designed by using the Kalman filter algorithm .The multi-segment data is analyzed and identified while the optimal data is estimated.
In order to adjust the collecting data , generator install the framing buffer to observe the data in different time.
In order to observe the energy and the frequency of the data, the data is transformed by FFT.
Online since: August 2013
Authors: Wanida Wattanakaroon, Wimol Phoudee
The peptide hydrogel containing ciprofloxacin and tobramycin resulted in 7.68 ± 0.33 and 6.13 ± 0.40 log reduction, respectively.
These data could provide a better rationale for antibiotic clinical applications to eradicate planktonic bacteria and biofilm infections found in chronic wounds.
Antibiotic killing was reported as a log reduction.
Log reduction states that incorporation of 10 μg/mL of ciprofloxacin or 10 μg/mL of tobramycin inhibited microbial growth.
The peptide hydrogel containing ciprofloxacin and tobramycin resulted in 7.68 ± 0.33 and 6.13 ± 0.40 log reduction, respectively (Fig. 2A).
These data could provide a better rationale for antibiotic clinical applications to eradicate planktonic bacteria and biofilm infections found in chronic wounds.
Antibiotic killing was reported as a log reduction.
Log reduction states that incorporation of 10 μg/mL of ciprofloxacin or 10 μg/mL of tobramycin inhibited microbial growth.
The peptide hydrogel containing ciprofloxacin and tobramycin resulted in 7.68 ± 0.33 and 6.13 ± 0.40 log reduction, respectively (Fig. 2A).