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Through the analysis of measured data, significant economic benefits had been brought about by using the heat pump water heating system.
The waste heat recovery is an effective measure of energy saving and emission reduction.
The data is in table1.
Table 1 Comparison of operation cost data Test time Daily steam consumption (t) Average power consumption (kWh) Steam price (RMB/t) Power price (BMB/kWh) Daily operation cost (RMB) Steam water heating system 2012.2.24~ 2012.3.7 227.2 ____ 273 0.8 62000 Heat pump water heating system 2012.3.26~ 2012.4.7 188 5772 273 0.8 56000 It can be seen that the daily operating cost of 6000 RMB was saved, and operating cost of 2.19 million RMB was saved average a year by using the heat pump water heating system with waste heat recovery.
The effect of energy efficiency and emission reduction is obvious, so the heat pump water heating system with waste heat recovery has good development prospect.

Recrystallization texture also was examined during isothermal annealing at 500°C with reduction in area.
Stored energy associated with orientations in the deformed grains was evaluated by reconstructing of data measured using electron back-scattered diffraction (EBSD).
To obtain the electron backscatter diffraction (EBSD) data, high resolution EBSD (using a JEOL 6500F scanning electron microscope with an INCA/OXFORD EBSD system) was used and the data analysis was performed using the REDS [15].
Reduction in area is specified by 90, 92, 95, 98%.
Vinel: Physica Status Solidi (B) 112 (1982) p. 111 [15] REDS, Repressing of EBSD Data in SNU, User Manual, Texture Control Lab, 2002

Components of the methodology The main components of the methodology are: the conceptual model at catchment scale and pollution source basis; GIS database including inventory of the pollution sources, laboratory microcosm test results and site assessment data; GIS work; three tiered iterative risk assessment; risk reduction planning with the aid of the quantitative risk model focusing on fulfilment of the effect based quality criteria targeted for the surface water ecosystem.
The GIS database includes: site-specific data and parameters taking into account the Water Balance of the area [10, 11], geological data [12], the results of the microcosm leaching experiment [13], the natural risk reduction capacity of the site, and the results of the chemical stabilisation microcosm experiment [14].
In the GIS work TIN-based (Triangulated Irregular Network) DTM (Digital Terrain Model) was derived from the contour line data, consisting of more than 250 000 triangles, using ArcView3.1 3D Analyst [18].
The model can be further refined with additional data input, assuming various water uses and considering the solid transport.
Arendt (2005), p. 1331 [10] OMSZ, National Hungarian Meteorological Service, Meteorological data (2002) [11] D.

The methodology and a RWH tank system was evaluated applying the daily rainfall data obtained in two met-stations of Blindern in Oslo and Rygge in Fredrikstad, South Norway.
Results show that, using different tank sizes, the system can achieve 26.5%-100% runoff volume and a 15%-100% peak flow reductions.
All these scenarios cover a 30-years period and for each scenario and rainfall data are available with daily resolution.
The methodology was applied to daily rainfall data recorded in cities of Oslo and Fredrikstad, Norway.
Kreutzer, Pilot project- Can damage data from insurance company be used by municipalities for climate prevention?

Reduce the degree of direct reduction.
It provides enough high-quality reducing gas and enhances the indirect reduction degree of iron ore.
The technology has been applied for a long time in the Russian RPA Toulachermet 2# BF (furnace capacity is 1033m3), the Production data showed that compared with the conventional operations, the coke rate of this approach decreased by 28.5%, while 27.3% yield, carbon utilization increased from 37% to 67%, while the CO2 output is significantly reduced.
If coupled with the fixed CO2, emission reductions can reach 86%.
According to the agreement, China is a developing country, only undertake CO2 emission reduction requirements after 2012.

The correlation data obtained from Figure 1 were showed in Table 1.
With the reduction of electrical activity Cu+ and the precipitation of Cu on the cathode, the concentration ratio of oxidation state and reduction state matter changed continuously with the electrolysis time.
Table 2 lists a part of data extracted from Figure 5 and diffusion coefficient D of electrical activity Cu+ figured out by equation (2).
Fig.7 Chronoamperometry curve of NaCl-KCl-CuCl2 molten salt system Taking curve c in Figure 7 as an example, data of current I and time t data from the curve were presented in Table 3.
Table 3 I, t data from c curve in NaCl-KCl-CuCl2 syst t/s 0.354 0.506 0.809 1.011 1.263 1.566 1.869 I/A 0.808 0.788 0.758 0.745 0.731 0.720 0.712 t1/2/s 0.5953 0.7112 0.8993 1.0053 1.1239 1.2514 1.3671 t3/2/s 0.2110 0.3598 0.7273 1.0161 1.4196 1.9597 2.5550 （a） （b） Fig.8 Relationship between I~t1/2 and I~t3/2 in NaCl-KCl-CuCl2 system Doing linear regression to the datas in Fig.8, linear regression equations (3) and (4)are got.

Effects of Reduction f Percent of Template (HMI) and Time of Static Synthesis on the Structure of MCM-22 Zeolite Everton R.
Federal University of Campina Grande, 58109-970 Campina Grande - PB, Brazil, aeverton.ufcg@gmail.com, bromulo_fas@yahoo.com.br, caeciob@hotmail.com, dherve@deq.ufcg.edu.br emeiry@deq.ufcg.edu.br Keywords: reduction, HMI, time, MCM-22.
This paper focuses on the synthesis of MCM-22 to determine the effect of reduction of percent of template (HMI) and time of static synthesis on the production of high purity MCM-22 zeolite.
According to the data in Table 1 verify that the synthesized MCM-22 (P) and MCM-22 showed a high percentage of silicon oxide (SiO2) and a reason SiO2/Al2O3 characteristic of the MWW framework [8], and a reason SiO2/Al2O3 lower when compared with the MCM-22 [3], after the calcination those ratios can be submitted to small reductions [5].
These results agree with the previously reported data [3] to the static synthesis.

Data Acquisition and Preprocessing Data Acquisition.
Data Preprocessing.
Data preprocessing is an important link in the process of data mining.
Data preprocessing is a preliminary cleaning operation, to make the data into the clean data we want.
Data preprocessing is mainly to complete the following tasks: Data Cleaning, Data Reduction, Data Integration and Transformation.

Then, Reduce reduction operation is performed to process these data in multi-nodes to produce the dataset results.
The users of data mining agent can access Meta data to generate local data model, which is extracted from the data.
Users of data mining agent can access Meta data to generate local data model that is extracted from the data.
Both local data mining algorithm and global data mining algorithms can perform calculations on different data platform of data mining
The new data model of cloud management n data [J].

The as-cast block was cold rolled with different reduction levels up to 98%.
The influence of strain mode on the evolution of the recrystallization textures was discussed based on experimental data and results of crystal plasticity calculations. 2.
The materials A and B were subjected to the thickness reductions of ~88% and 98%, respectively.
The orientation data were post-processed with the MTM-FHM software [3].
To the purpose of obtaining a reliable comparison between deformation and recrystallization textures, all orientation data were post-processed with the MTM-FHM software [3].