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Research and Governance on Catalyst Abrasion for Selective Catalytic Reduction (SCR) System in Power Plant Boiler Ren Liming1, a, Wang Lei1, Wang Chunyu1 , An Jingxue1 1 Henan Electric Power Research Institute, Zhengzhou, China, 450052 aWlei1979130@sina.com Keywords: Power plant; boiler; SCR; abrasion.
Abstract: This paper presents a research on the problem of catalyst failure in a selective catalytic reduction (SCR) system.
In view of the increasingly strict environmental standards, the boiler is equipped with a selective catalytic reduction (SCR) system, manufactured by Shanghai electric Ishikawa island power station environmental protection engineering co., LTD, to reduce the amount of emissions of NOx.
Data Comparison Comparison on the distribution uniformity Now choose the index of relative root mean square value, to comparing the uniformity of the velocity and the fly ash concentration in horizontal flue on the retrofit of guide device.
Lower is the index, lower the deviation among the data of test points.

Data and Monitoring Sites.
Hydraulic geometry parameters were measured to provide the input data for model segmentation.
The model was first calibrated with the measured hydraulic characteristics and water quality data collected on April 29, 2008.
The data obtained from July 26, 2008 were then utilized to verify the model using the calibrated model coefficients.
In general, the model results of spatial DO, BOD5 (CBOD5), NH3-N, and TP match the field data reasonably well (not shown).

Moreover, the reduction is the percentage of reducing the thickness of the strip.
The experimental data has been arranged in the best way to analyze the effect of each processing parameter individually.
To analyze the reduction effect on the surface roughness, the values of surface roughness (Ra) have been plotted against the reduction values as shown in Fig. 3.
Fig. 3 Effect of reduction on surface roughness By analyzing the trends in Fig. 3, it can be noted the obvious linear decrease of the surface roughness found as a result of increasing the reduction.
It is known as explained above the effect of reduction which is in summary with increasing the reduction the surface roughness decreases.

Load-displacement curve was recorded using IMP data acquisition system. 20℃ 600℃ 800℃ Fig. 3 Heating curves.
Fig. 12 Comparison of different strength reduction factors.
The Strength Reduction Factor under the High Temperature.
The strength reduction factor under the high temperature: (3) The strength reduction factors of different countries and the test results are shown in Fig. 12.
It can be seen from the diagram that the strength reduction factor of the torsional test is higher than that recommended by the standard in high temperature.

The required data used for training and testing the ANN is obtained by conducting trial runs in wire cut electric discharge machine.
Proposed algorithm paves reduction in time for fixing the values for the process parameters and thus reduces the production time along with reduction in cost of machining processes and thereby increases the production as well as the efficiency.
Mathematical models developed by ANN using the trial data providing towards the selection of the optimum process parameters and process conditions without conducting trials or experiments [5].
As the outcome of training, the trial or experimental values were obtained and the result is validated by comparing the actual data with the experimental or trial data.
All the parameters were normalized by using matlab and this is the requirement to make the data flow on neural network.

To the best of our knowledge, Ag/Pd bimetallic composite has been not used for nitrate reduction.
The data were analyzed through Gamry Echem Analyst software (Gamry Echem Analyst Version5.50).
A higher of lower than the ratio of 3:5 would have a lower response for nitrate reduction.
Amperometric responses of nitrate reduction at -0.9V (vs.
On one hand, Ag/Pd bimetallic composite was firstly used for electrochemical reduction of nitrate.

Electric vehicle transmission system using single reduction gear or multi-speed transmission directly affects electric vehicle drivability and economy.
The comparative analysis between single reduction gear and two-speed transmission for electric vehicle was carried out.
In a UDDS driving cycles, the energy consumption is 2.12 kW.h. 3.3 Comparative Performance Analysis of EV with Single Gear and Two Speed Transmission (1) Contrastive analysis of dynamic performance ① Acceleration time By running 0 to 50 km/h acceleration and 0-80 km/h acceleration simulation calculation, acceleration time - speed data are obtained, as shown in table 6.
It played a key role in cost reduction for electric vehicle. ②Maximum speed simulation analysis By applying Maximum speed simulation calculation, Maximum speed curve are obtained.
Table7 Maximum Speed Simulation Analysis Simulation Analysis Unit Single gear Ratio Two-speed Ratio Maximum speed km/h 102.9 107.7 As can be seen from the table, whether using fixed speed ratio transmission system or two speed ratio transmission system, the car's maximum speed is also determined by the maximum speed of the motor. ③Gradability simulation analysis By applying Maximum speed simulation calculation with 20% grade road conditions, data was obtained, as shown in table 8.

The study on the construction of models and the empirical analysis of evaluating rebound effect according to the data in China are also less.
Because of limited data collection and acquisition, there are fewer researches on direct rebound effect in China.
Glomsrod & Wei[16] use CGE model to work on the data in China.
Secondly, historical data, empirical evidence and the econometric evidence are also inconsistent in addition to the lack of theory.
In a word, it is very difficult to test the economy-wide rebound effect from empirical data validation level.

The experimental data have been discussed and analyzed by comparison with theoretical results.
Table 1 – Experimental data of RC beam model.
Considering the Figure 4 it is possible recognize a reduction of values increasing the damage from D0 to D3 with a maximum value of about 57% for the first mode of vibration.
The reduction of frequency values has been recorded in particular for the first mode while for the other modes of vibration the reduction is lower and equal to about 20%.
Structural damage identification from dynamic-test data.

Data integration is a function of MIAS, allowing the reduction in the amount of data and information noise because of differences in the information needs of control systems and management support systems [1].
Analysis – the level of data sources.
Choice and creation of data sources.
The process of data integration can be divided into two phases – the pre-processing (basic data manipulation, such as formal verification of correctness, analog-to-digital conversion, digitization and reduction) and aggregation of information.
Data archiving in MIAS.