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A Way to Determine the Economic Operation Mode of Substation Transformer Deli Zhao1, Huilin Zhang1, Fengzhen Liu1 and Xin Zhao2,a 1 State Grid Liaoning Chaoyang Power Supply Company, Chaoyang, Liaoning,122000, China 2 State Grid Beijing Tongzhou Power Supply Company,Beijing,101100,China atsustar@126.com Keywords: Transformer, Loss reduction, Economic operation Abstract.
Comparison between the two , the use of two main transformers in parallel operation mode rather than just put in the 2nd main transformer is significant to reduce the variable loss (1.33 ~ 11.04) kW, the annual reduction in electricity consumption variable loss of about (1.165 ~ 9.67) × 104kWh.
Summary The overal calculation is based on the actual data and its effectiveness has been proved in the system, so it is very meaningful to readjust the method to make preparation for the economic operation.The further research will be done on the physical solution to the real system and the balanced arrangement of different substation devices ans apparatuses.

Data were collected in a two theta range between 20 and 70° in steps of 0.02 º/s.
Table 2 Acidity data of the catalysts from FTIR spectra of adsorbed pyridine Desorb.
It was ascribed to the reduction of sulfate ions [9].
Table 3 showed the data of the fresh catalysts obtained by TG analysis.
These data indicated that sulfate loss after 72 hours on stream was 19.83% for PSZA, and 5.79 % for PSZAY.

The research presents the results of data analysis on degassing of wheel grades of steels in a tank degasser with a capacity of 120 tons, operated at the JSC “Ural Steel”.
The Purpose and Object of the Study The study of the laws of degassing of wheel steel grades was carried out on the basis of the production data on the results of vacuum metal treatment at the installation vacuum tank degasser (VTD) SIEMENS-VAI with a capacity of 120 tons, operated since 2012 in an electric steel shop of the JSC “Ural Steel”.
The Basic Data To study the patterns of steel degassing at the VTD, an analysis of the production data on the smelting of wheel steel grades for November-December 2019 was carried out.
The averaged data on process parameters and the results of steel degassing of the studied steels are given in Table 1.
Therefore, for further processing from the initial production data, the dropouts of melting was screened with a freeboard value of more than 600 mm, and the influence of the slag layer thickness, visually estimated, was not taken into account.

Data processing examples show that the model's practicality and reliability.
The main characteristic of grey system theory is the research about small data and uncertainty, and the basic tool is grey generation.
Behavioral data of the system may be chaotic and complex, but there is always some kind of law among them.
Grey generation is to find the law from these behavioral data, and establish grey model according to the law, further predict the system by solving the model [1].
Example There are the fatigue experimental data (Mpa) in [9]: = [ 560,540,l523,500,475] Corresponds temperature (oC): t = [100, 150,200,250,300] The number corresponding to the temperature: k = [1,2,3,4,5] The model was obtained by using this method proposed in this paper: The fitting value of the data: =[560.6246,540.2185,520.5551,501.6074,,475] The relative error: e(%)=[-0.11154,-0.040461,0.46748,-0.32149,0] The mean of the relative error is 0.18819%.

They significantly contribute to improvement of forgings quality and production costs reduction.
The crucial points of the numerical simulations are material input data and implemented material models.
The paper is dealing with overview of methods for the input data measurement.
Introducion The FEM simulation results are as good as the input data and thus care must be paid to use appropriate material data and models describing considered material behavior under service loading conditions.The influence of strain, strain rate, stresses and temperatures have to be addressed.
Example of data measured for fitting of Jonson/Cook model can be seen in Fig. 1.

This lays a sound foundation for simulation calculation in developing products using for practical engineering and installing the structural vibration reduction system of electromagnetic damper.
Introduction Deeply developing new type energy shock absorber is the requirement of structure vibration control and seismic resistance and disaster mitigation, while earthquakes are frequent, human’s life and property suffer great losses; However, effective programs of vibration reduction and seism resistance are limited in recent years.
represents frequency influence coefficient, determined from data fitting: （1-1） represents amplitude influence coefficient, determined from data fitting: -+3.2 （1-2） Improvement of Model - Single Parameter Theoretical Velocity Model Single Parameter Theoretical Model of Resilience Velocity Resilience model formula (1) considers vibration frequencyand influence of vibration amplitude, namely dual parameter influence of frequency coefficient and amplitude influence parameter.
We hereby make a research by means of test data fitting.
Test data for researching velocity influence parameter is as shown by Fig. 1 (test condition is the same with what is adopted in formula-1), measured static damping force is =0.635/ Tab.1 Relationship between velocity amplitudeand velocity influence coefficient Based on the test curve of relationship between velocity influence coefficient and velocity amplitude drawn by the test data in Tab.1, we put forward the following theoretical formula for velocity influence coefficient: （4-1） Where a, b, c represents unknown constant to be determined from data fitting: , , .

The application of heat pump technology is one of the effective ways to realize energy conservation and emission reduction of air conditioning systems.
According to Fig. 1 and the data in Table 4, we establish comparison matrix and calculate sort weights.
Total sort weight W(4)=(0.1786，0.2562，0.3101，0.2766)T of scheme level C to target level is obtained according to the data in Table 5 and Table 6.
(3) We will select the optimal cold and heat source of heat pump system for local application by the use of AHP, which can realize the target of energy conservation, emission reduction and the initial investment and running cost reduction.
Finally it will realize the ultimate goal of energy saving and emission reduction.

The results are well consistent with that of the vibration tests which provide the basis for further study of vibration and noise reduction.
The vibration tests of the reducer have been done and the collected data were analyzed with the HEAD acoustics multichannel vibration test and analysis system.
The finite element model is correct and which can provide useful theoretical basis for further study of vibration reduction.
The results are well consistent with that of the tests which provide the basis for further study of vibration and noise reduction.

The kinetic data were evaluated by the pseudo-first-order, pseudo-second-order and intra-particle diffusion model.
The experimental data were well described by the pseudo-second-order model with r2=0.997.
Fig. 3 shows that the experimental data is best fitted to the pseudo second-order kinetic model.
Table 1 shows various data obtained from two different kinetic model.
Data. 58 (2013) 798-806

Different methods reported for the N2O control at the tail gas of industries include thermal decomposition, selective catalytic reduction and catalytic decomposition.
XRD data were analyzed for phase identification, presence of impurity phase, as well as for structural damage if any during the catalyst preparations.
During the content of Fe is 1%, as shown in Fig. 6, this sample itself displays a distinct H2 reduction peak at 450 0C, which can be assigned to the reduction peak from Fe3+ to Fe2+, and in the existence of Fe3+.
Meanwhile, it shows another weak H2 reduction peak at 570 0C, which can be assigned to the reduction peak of Fe2O3, in the existence of Fe2O3 partly.
With the increase of the contents of Fe ions, the shift of the H2 reduction peak to low temperature occurred, and the drastic increase of the signal of H2 reduction peak of Fe2O3 were also observed.