Sort by:
Publication Type:
Open access:
Publication Date:
Periodicals:
Search results
Online since: March 2015
Authors: Zhi Ping Li, Feng Peng Lai, Jun Jie Yi, Zhi Hao Yang
In high rank stage, the adsorption capacity of coal varies with inertinite content exhibit a positive correlation.③Reservoir permeability: raw coal reservoir permeability will affect the product rate of methane in condition of draining to reduce pressure, when the injection pressure is large enough so that the pressure is greater than coal when broken, the fracture of coal will further open and improve permeability.④Expansion of coal mechanism adsorption: coal volume expansion caused by injecting CO2 will reduced reservoir permeability, and permeability reduction has impacted on the effect of CO2-ECBM directly.⑤ The water cut of the coal reservoir effects: adsorption capacity of CO2 is weaker than water, the presence of water will reduce the chance of CO2 is adsorbed, thus affecting the CO2 -ECBM effect
However, our country lacks of saline aquifer geology data, it is not yet implemented saline aquifer storage.
Use of existing oil and gas reservoir to storage CO2 is considered to be the future direction of this technology, which is known as carbon dioxide enhanced oil recovery (CO2-EOR) technology, that is injecting co2 into reservoir to flood the oil, not only enhanced oil recovery, but also to achieve carbon storage, taking into account both economic and emission reduction benefits.
However, our country lacks of saline aquifer geology data, it is not yet implemented saline aquifer storage.
Use of existing oil and gas reservoir to storage CO2 is considered to be the future direction of this technology, which is known as carbon dioxide enhanced oil recovery (CO2-EOR) technology, that is injecting co2 into reservoir to flood the oil, not only enhanced oil recovery, but also to achieve carbon storage, taking into account both economic and emission reduction benefits.
Online since: August 2010
Authors: Yi Gong Lu, Ping Yang Xiao, Yong Sheng Deng, Xi Lin Liu
Working Principle of Hydraulic Coupler
Hydraulic coupler is installed between the motor and the reduction gear in the conveyor drive
device.
The turbine wheel is connected to the reduction gear shaft, as the role of driven shaft.
Table 2 The power unbalancedness of motor after adjustment matching situation Motor No. ε∆ γ eS λ[%] 1 first drum motor 1 0.002 0.004 0.045 0.04598 -0.94 motor 2 0.047 second drum motor 0.0503 1.88 2 first drum motor 1 0.002 0.004 0.0503 0.04859 -6.71 motor 2 0.047 second drum motor 0.045 13.42 3 first drum motor 1 0.002 0.004 0.0503 0.0475 -4.39 motor 2 0.045 second drum motor 0.047 8.78 4 first drum motor 1 0.002 -0.004 0.045 0.04598 4.25 motor 2 0.047 second drum motor 0.0503 -8.5 5 first drum motor 1 0.002 -0.004 0.0503 0.04859 -1.2 motor 2 0.047 second drum motor 0.045 2.4 6 first drum motor 1 0.002 -0.004 0.0503 0.0475 0.995 motor 2 0.045 second drum motor 0.047 -1.99 It can be seen from the data in the two tables, because of the transmission by motor with hydraulic coupler, the hydraulic coupler makes their output characteristic of combining operating to change soft, thus makes that the
The turbine wheel is connected to the reduction gear shaft, as the role of driven shaft.
Table 2 The power unbalancedness of motor after adjustment matching situation Motor No. ε∆ γ eS λ[%] 1 first drum motor 1 0.002 0.004 0.045 0.04598 -0.94 motor 2 0.047 second drum motor 0.0503 1.88 2 first drum motor 1 0.002 0.004 0.0503 0.04859 -6.71 motor 2 0.047 second drum motor 0.045 13.42 3 first drum motor 1 0.002 0.004 0.0503 0.0475 -4.39 motor 2 0.045 second drum motor 0.047 8.78 4 first drum motor 1 0.002 -0.004 0.045 0.04598 4.25 motor 2 0.047 second drum motor 0.0503 -8.5 5 first drum motor 1 0.002 -0.004 0.0503 0.04859 -1.2 motor 2 0.047 second drum motor 0.045 2.4 6 first drum motor 1 0.002 -0.004 0.0503 0.0475 0.995 motor 2 0.045 second drum motor 0.047 -1.99 It can be seen from the data in the two tables, because of the transmission by motor with hydraulic coupler, the hydraulic coupler makes their output characteristic of combining operating to change soft, thus makes that the
Online since: December 2012
Authors: Xiao Yun Fu, Xing Yuan He
Linear regressions were performed within each plant species to determine the possible effect of the RGR on nitrogen reduction, but the results were non-significant and therefore we have not included these results.
The reductions of N and P observed in the control samples implied these processes were at work reducing nitrogen and phosphorus.
Alexander, Regional interpretation of water quality monitoring data, Water Resour.
The reductions of N and P observed in the control samples implied these processes were at work reducing nitrogen and phosphorus.
Alexander, Regional interpretation of water quality monitoring data, Water Resour.
Online since: July 2011
Authors: Liu Jing Yao, Yan Ju, Rong Bin Zhang
After being washed with ethanol and dried at 60°C, the solid was re-dispersed in 25mL of 0.0087 mol.dm-3 HAuCl4 solution. 10mL of 0.2 mol.dm-3 KBH4 solution was added under vigorous stirring for reduction of AuCl4- at 80˚C for 4h.
Finally, the solid was calcinated at 500 °C in air for 2 h[14] before reduction at 150 °C in H2 for 2h.
Diffraction data were recorded using continuous scanning with a step of 0.04°/s from 0 to 95°.
Finally, the solid was calcinated at 500 °C in air for 2 h[14] before reduction at 150 °C in H2 for 2h.
Diffraction data were recorded using continuous scanning with a step of 0.04°/s from 0 to 95°.
Online since: November 2014
Authors: Hafizah Md Nor, Chin Kim Gan, Mohd Shahril Ahmad Khiar
The primary objective of the DSM presented in this paper is reduction of system peak load demand.
Therefore, the WH can be controlled to accomplish the peak reduction of the demand load during peak hour [10], [11].
Fuzzy rule viewer Simulation Results The input data of the simulation is a crisp input.
Therefore, the WH can be controlled to accomplish the peak reduction of the demand load during peak hour [10], [11].
Fuzzy rule viewer Simulation Results The input data of the simulation is a crisp input.
Online since: September 2013
Authors: Rui Feng Li, Shou Cheng He, Lu Cun Guo
During data analysis process, the Rohm of the sample at each temperature was subtracted to compare the Rp directly.
It indicated that the LBCO cathode with SDC interlayer exhibited the superior electrocatalytic activity for oxygen reduction reaction (ORR) and better electrochemical performance.
For example, the ASR value of LBCO cathode with SDC interlayer was 0.457 Ωcm2 at 800 °C, while the corresponding value for the LBCO cathode without SDC interlayer was 0.716 Ωcm2, resulting in about 36.2 % reduction.
It indicated that the LBCO cathode with SDC interlayer exhibited the superior electrocatalytic activity for oxygen reduction reaction (ORR) and better electrochemical performance.
For example, the ASR value of LBCO cathode with SDC interlayer was 0.457 Ωcm2 at 800 °C, while the corresponding value for the LBCO cathode without SDC interlayer was 0.716 Ωcm2, resulting in about 36.2 % reduction.
Online since: September 2013
Authors: Yan Jia, Rong Ze Xia, Hu Li
In their approach, the support vectors of categories were identified from the training data points.
K-means clustering algorithm was used to generate class labels and LDA was for subspace reduction.
References [1] An enhanced Support Vector Machine classification framework by using Euclidean distance function for text document categorization [2] One-against-one fuzzy support vector machine classifier An approach to text categorization [3] feature selection in SVM text categorization [4] Support Vector Machine Active Learning with Applications to Text Classification [5] Feature Weighting in k-Means Clustering [6] Partitioning-based clustering for Web document categorization [7] Adaptive Dimension Reduction Using Discriminant Analysis and K-means Clustering [8] http:// www.ictclas.org [9] http://weka.wikispaces.com
K-means clustering algorithm was used to generate class labels and LDA was for subspace reduction.
References [1] An enhanced Support Vector Machine classification framework by using Euclidean distance function for text document categorization [2] One-against-one fuzzy support vector machine classifier An approach to text categorization [3] feature selection in SVM text categorization [4] Support Vector Machine Active Learning with Applications to Text Classification [5] Feature Weighting in k-Means Clustering [6] Partitioning-based clustering for Web document categorization [7] Adaptive Dimension Reduction Using Discriminant Analysis and K-means Clustering [8] http:// www.ictclas.org [9] http://weka.wikispaces.com
Online since: March 2014
Authors: Eliz Paula Manfroi, Malik Cheriaf, Janaíde Cavalcante Rocha
The measurements were carried out in a Hewlett-Packard data logger (Model 34970 A) connected to a microcomputer with readings every 20 seconds.
The reduction of time for formation of the monosulfate is due to greater amount of red mud added, and thus a higher content of F2O3 and Al2O3 available for the formation of the monosulfate.
This reduction of wettability is related to greater filler effect of red mud when calcined at 900ºC.
The reduction of time for formation of the monosulfate is due to greater amount of red mud added, and thus a higher content of F2O3 and Al2O3 available for the formation of the monosulfate.
This reduction of wettability is related to greater filler effect of red mud when calcined at 900ºC.
Online since: September 2016
Authors: A. Pericles Savva, G. Demetris Nicolaides, F. Michael Petrou
Additionally, the reference mixture (L) exhibit 16% higher compressive strength (61.6 MPa) as opposed to the IC mixtures (51.8 MPa) considering all the available data.
Considering that the reference mixtures exposed to hot environmental conditions exhibit a reduction in compressive strength, the aforementioned observation can be attributed to the internal curing.
It seems that the hot environmental curing regime is affecting negatively (11% reduction on the average) the porosity of the reference mixtures.
Furthermore, despite the fact that the mixtures cast at 22oC have the highest initial permeability, which is reasonable, the reduction rate of the specific series is 30% higher than the rest of the mixtures, yielding to similar RCP values at 90 days.
The mixtures cured in water tanks with constant temperature as opposed to the exposed mixtures observed a RCP reduction rate of 47 % higher whereas the reference mixtures exhibited a 27 % higher reduction rate compared to the IC mixtures.
Considering that the reference mixtures exposed to hot environmental conditions exhibit a reduction in compressive strength, the aforementioned observation can be attributed to the internal curing.
It seems that the hot environmental curing regime is affecting negatively (11% reduction on the average) the porosity of the reference mixtures.
Furthermore, despite the fact that the mixtures cast at 22oC have the highest initial permeability, which is reasonable, the reduction rate of the specific series is 30% higher than the rest of the mixtures, yielding to similar RCP values at 90 days.
The mixtures cured in water tanks with constant temperature as opposed to the exposed mixtures observed a RCP reduction rate of 47 % higher whereas the reference mixtures exhibited a 27 % higher reduction rate compared to the IC mixtures.
Online since: November 2015
Authors: Dionys Van Gemert, Özlem Cizer
A generalized use of plasticizing chemical admixtures leads to a further cement reduction (Tool 3).
Mehta and Meryman [8] state that the combined use of tools 1 and 3 may give a reduction of 30 % in cement consumption.
In total the reduction might become about (0.7 x (2800 x 0.6 x 0.8) = ) 941 million tons/year, being the 1990 emission rate.
This evolution is important, and contributes considerably in the evolution of construction industry to sustainability through environmental protection, energy saving and reduction of demolition waste.
[6] PlasticsEurope, Plastics – the facts 2014-2015, An analysis of European Plastics Production, Demand and Waste data.
Mehta and Meryman [8] state that the combined use of tools 1 and 3 may give a reduction of 30 % in cement consumption.
In total the reduction might become about (0.7 x (2800 x 0.6 x 0.8) = ) 941 million tons/year, being the 1990 emission rate.
This evolution is important, and contributes considerably in the evolution of construction industry to sustainability through environmental protection, energy saving and reduction of demolition waste.
[6] PlasticsEurope, Plastics – the facts 2014-2015, An analysis of European Plastics Production, Demand and Waste data.