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(Fig.1a) shows the relevant data based on data charts,We can see the distribution of a large range of energy efficiency test data, the uneven quality of Chinese product manufacturers, the majority of air-cooled air conditioning energy efficiency of 3.0 or less, significantly lower than that of Europe, Japan.
According to the measured data,we can calculate the SEER with the Eq. 1 ,Eq.2 and Eq.3.
According to Chinese meteorological data, we can find the part of the city's SEER value(see Fig.1b).
Analysis of experimental data.
The efficiency analysis of chillers Number EER SEER（spring） IPLV Effect 1# 4.10 4.30 4.90 2# 4.30 4.50 5.20 4.48% Conclusion Acording to analysis of statistical data and test data of Chinese relevant products, the energy efficiency of Chinese air-conditioned have great space for improvement.

The experimental facility is divided into 3 main components, namely the piping system, battery components, and data acquisition system.
The NTC thermistor sensors were connected to the Arduino board, whilst the thermocouple sensors were connected to the NI-DAQ 6008 data acquisition system.
Battery temperature data was collected in each variation, including the discharge rate and liquid flow rate.
The data was then processed to estimate the effective convective heat transfer coefficient (h) of the liquid cold plate.
The corresponding pressure drop (∆P) data for different flow rate variations are detailed in Table 2.

Correlation of workability test results and rheological test results of Fresh concrete Among investigations on correlation of various workability data and rheological data [1-11], the workability tests are concentrated within a narrow scope including slump, slump flow, L-flow (or L-box test), and V-funnel, while the rheological test data are only yield stress and plastic viscosity based on the Bingham fluid model.
Compared with experimental data of slump, there are less data reported on the relationship between tests of slump flow, V-funnel, or L-box, and rheological properties.
Based on the relationships established between workability data and rheological data, it was concluded that the V-funnel flow time test correlate well to plastic viscosity and yield stress of highly flowable underwater concrete, with R 2 values of 0.81 and 0.83, respectively.
A decrease in flow time resulting from a reduction in cohesiveness could then lead to greater loss in washout.
Such researches seem full of both experimental data and correlation equations along with high or low correlation factors, which really means that a great deal of experimental and calculation work have been done.

Two options for the speed reduction are a gearbox and a screw driven slider-crank mechanism.
A constant reduction ratio means that some design redundancy is unavoidable in order to meet both requirements.
Other limitations include permitted rotational speed of the motor and the speed limit of the reduction system.
With careful design, a factor of 1.5 in the reduction ratio can be reached in a slider-crank mechanism.
Since a redundant reduction system is heavy and it is hard to switch from one reduction system to another smoothly, the redundant driver is not chosen to solve the problem.

Slight reduction in density were observed across all T1 as the Y-TZP content increases up to 10 vol%.
Above 10 vol% Y-TZP content, the sharp decrease in HV might be effects of significant reduction in density.
The reduction of HV in the alumina-Y-TZP composite could also be the effect of porosity formation which caused reduction in density hence leading to reduction in HV.
Furthermore, according to Eq.2, the Young’s modulus is directly proportional to density hence reduction in density would lead to reduction in Young’s modulus of the composite.
According to previous literature data [13,15], the most ideal amount of ZrO2 content is found to be 10 vol% hence these finding are in agreement with previous literature.

Also, a superposition model was developed and applied to the experimental data which gave very good agreement between the actual and predicted crack growth rates.
In general, the superposition model described the experimental data extremely well.
For ΔK values greater than 10 MPa, the data converged to the cyclic component.
At lower ΔK values the data tended to a constant crack growth rate, independent of ΔK, corresponding to the SCC growth rate divided by the frequency, given in eqn.(1).
Using limited operating data to analyze surface crack growth behaviour formed a good base for predicting the remaining life of ferritic-pearlitic pipeline steels.

Then we embark on the strategy to generate the synthetic data base.
These results serve on the one hand as experimental data set for the later training of the data-based models and furthermore as reference data for the validation of the following simulation models.
This confirms that a higher effort in data acquisition and as well as in training is necessary for usable data-based prediction models.
If R> 15 mm a reduction of about 37% of the analytical strength prognosis is required.
In the case of the data-based models, it was shown that the forecast quality depends very strongly on the available quantity and quality of the data.

A series of FT-IR spectra confirmed the reduction of the Hemicelluloses and Lignin content after the treatment.
Table 1 showed that the alkaline treatment leads to the reduction in the density of original OP and RH specimens.
After alkaline treatment, the data showed that Silicon (Si) and Potassium (K) have been reduced.
The elements composition of the (RH) fibre before and after treatment was determined and the data are summarized in Table 3.
The data showed that Bismuth (Bi) element was not present.

An equally important endeavour is the development of algorithms to manipulate that data in objective ways to extract quantitative measures of microstructure.
The most obvious quantitative processing of EBSD data includes contouring and colour coded displays of orientation on pole and inverse pole figures.
If a formal statistical test of similarity is required, the Kolmogorov-Smirnov test should be used on data cast in cumulative histograms [5].
It should be noted that there are some problems calculating boundary lengths on gridded data.
Our point here though is that boundary density vs. misorientation constitutes basic data upon which to build models for microstructural development.

The available data are the locked-rotor torque (starting torque), breakdown torque, and full-load torque.
The errors F1, F2, and F3 are computed using the available data from the sample motors, that is, 5 hp, 50 hp, and 500 hp.
The manufacturer-supplied data from the respective datasheets of the three motors are presented in Table 1.
Using the performance characteristics, majorly considering the torque and other nameplate data to minimize the deviation between the estimated and manufacturer data.
Rabelo, A High Precision Method for Induction Machine Parameters Estimation From Manufacturer Data, IEEE Trans.