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Reduction experiments for isothermal reduction were conducted in a horizontal electric furnace with molybdenum disilicide heating elements.
The elaboration of these statistical results provides different plots that can be used to analyze the data as illustrated in Figure 1 and 2.
Figure 3 shows 3D surface plots for the effect of reduction time and temperature on extent of reduction using 10 wt% catalysts.
At longer period of reduction, the energy provided is adequate to bring appreciable reduction of iron oxides.
Fig. 3: 3D surface plot of temperature and reduction time for extent of reduction at10 wt.% of catalyst.

In the conclusion part, quantitative data is given, offering theoretical support for the governments’ strategic policy-making in developing EV.
Therefore, the reduction and control of automotive emissions are important to the goal of achieving carbon reduction commitment in China.
The essential of this method is raw data such as average speed (km/h, by the investigation and statistics or passenger and freight volume calculating), travel distance(km) and emission factors (g/km) are plugged into a basic formula.
According to the requirement of carbon emission reduction, two pollutants including CO and CO2 were picked out to establish the emissions inventory.
Consequently, China vehicular emissions inventory of carbon material from 2004 to 2010 can be worked out by comprehensively utilized Eq.1 and data of Table 1, Table 2 and Fig.1.

These films were annealed at 50 °C under vacuum overnight before thermal reduction.
Chemical reduction and thermal reduction methods are widely used to convert GO to RGO.
We interpret the data in terms of kinetic mechanisms involved in the thermal reduction of GO.
For characterization of the conversion and reaction rate of the thermal reduction quantitatively, we define a reduction yield.
From the response curve, we estimated the initial reduction response DR400/Dt of each data set at various heating temperatures, see Fig. 4.

The results show that rolling reduction ratio has significant influences on C2S2 procedure.
Table 1 lists the geometry, materials and simulation data for the simulation.
Table 1 Data for the numerical simulation Geometry data Central distance of each pair rollers, (mm) 80 Initial work-piece thickness, (mm) 4 Initial work-piece width, (mm) 20 Rolling reduction ratios 5 %, 10 %, 20 % Bending channel thickness, (mm) 3.8, 3.6, 3.2 Output channel cross-section (mm2) 4×20 Die channel angle, (°) 92.7 Die outer corner angle, (°) 0 Materials data Young’s modulus, (Gpa) Work-piece (5052Al) Rollers and others (H13) Poisson’s ratio, 68.9 206 Thermal expansion, (˚C-1) 0.33 0.3 Thermal conductivity, (N s-1/˚C) 2.2E-5 1.4E-5 Heat capacity, (N mm-2/˚C) 180.2 32 Emissivity, 2.433 3.588 Simulation data 0.7 0.5 Roller angular velocity, (rad/s) 0.1 Time step, (s) 0.3 Initial temperature, (°C) 20 Environmental temperature, (°C) 20 Friction factor, 0.7 (rollers), 0.03 (others) 5052Al was used as the work-piece material that was hypothesized as a plastic body.
It is important to note that, contrasting with the rolling reduction ratio of 5 %, the rolling reduction ratio of 10 % produced only very slight reduction in restoration ratio, while the rolling reduction ratio of 20 % produced a far larger reduction in restoration ratio.
Contrasting with the at the rolling reduction ratio of 5 %, the at the rolling reduction ratio of 10 % and 20 % is respectively 8.16 % and 8.32 % less.

Therefore, a rough calculation method about carbon emission reductions of separation collection was summarized here, with reference to the domestic and foreign empirical data of carbon emission reductions in the waste management.
Besides, carbon emissions by recycling are influenced by the reprocessing technology, the type of energy as an alternative, and the use of different basic data.
Moreover, the commonly used calculation methods of carbon emissions are based on the volatile data of each waste component, which is more often established by the study of waste in European and American.
Table 1 The composition of MSW in Guangxi in2010 [%] Composition Organic matter Inorganic matter Others Kitchen waste Waste paper Bamboo Fiber Plastics Rubber Glass Ceramics Metal Dust Mass percentage 46.6 5.2 1.3 9.8 0.9 1.9 0.2 30.9 3.2 Note: Data is from the "The second Five-Year Plan of waste disposal facilities construction in Guangxi".
Table 2 Adopted value of carbon emissions during the operation/process of waste treatment [kg CO2-eq.t–1] Operation type Collection/ transportation Landfill Biological treatment Recycling Within a distance of 20 km High organic waste Low organic waste Anaerobic digestion Waste paper Waste wood Waste plastics Waste glass Waste metal Unit carbon emission 20 675 -25 -132 -3125 -220 -528 -485 -9260 Note: The -related data about carbon emissions were derived from references [1~10].

Data showed that three work stations namely, peeled trim station, arrangement before cooked station, and arrangement in tray station, needed to be improved.
Data in figure 1 was showed that 80 percent of cost was indicated at peeled trim station and arrangement before cooked station.
Then researchers selected those problems to solve and compare data between before and after improvement.
The improvement of process applying industrial technique is one of the best techniques to cost reduction [4].
Finally, the evaluation of proposed technique was recorded to compare between before and after improvement at each station using statistic data.

Energy consumption data, in the recent five years, are collected from more than 20 hotels in Shanghai and other eastern China regions.
These data exclude the development of non-star chain hotels.
All analytical data is shown in Table 1.
Data collection and assessment have been conducted in three-star hotels having been run for 15 to 20 years or so.
This data is a good hint for the relevant departments and enterprises on a good energy saving revelation, the reduction of power consumption and primary energy saving in hotels.

Reduction of NO by iron.
Fig. 3 presents the NO reduction efficiency by iron.
According to the thermodynamic calculation using the basic data from JANAF tables (1985), metallic iron could be completely oxidized to Fe2O3 at 700-900 °C and when the concentration of NO is lower than 500 ppm.
In the NO reduction experiments, the final temperature was 1100°C.
The NO reduction efficiencies increased when CO was added.

Based on Jilin province and nine cities’ COD emissions data of 2010, this paper is an attempt to quantitatively analyze the area distribution patterns of two indices (COD emissions per capita and COD emissions per unit production value) as well as their causes.
COD emissions environment learning curve We calculated the ten thousand yuan GDP COD emissions and GDP per capita of nine cities which were based on economic data and environmental statistics in calendar year.
Use the data to do a scatter plot.
The COD emissions environment learning curve of Jilin province We build the COD emissions environment learning curve of Jilin province which was based on the data of ten thousand yuan GDP COD emissions and GDP per capita from 2000 to 2010(Figure 1).
These data were simulated by the COD emissions of environmental learning curve of Jilin province.

This paper takes 7 indexes, using AHP, obtained weights of the five power plants by integrated evaluation which can evaluate the effect of energy-saving and emissions reduction. 1 Evaluation indexes of energy-saving and emission reduction Many factors affect energy-saving and emission reduction of the coal-fired power generation.
We want to choose the power plant of the best effect by using the 7 indexes’ data of 5 power plants.
According the data in 依据表2中五个电厂的7个指标的数据，利用同样的方法构造第三层对第二层每个准则的判断矩阵。
Integrated Evaluation of Energy-saving and Emission Reduction.
Study on Evaluation System of coal-fired power generation energy-saving emission reduction.