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Our aim, from this analysis and using primary data from a company that builds algae farms, is to estimate the output of algae biofuel and decrease of GHG emissions in the process.
The origin of used data was a life cycle analysis of a plant in the State of Pernambuco, in northeastern Brazil, and company data See algae Technology (SAT) a specialist in growing algae and producing - among other products of the refining of algae oil - biofuel.
To be able to process all the data gathered in the field, this study resorted to prior literature in order to obtain emission factors of the various activities at the plant.
Based on the values of literature and primary data obtained from the plant, the fuel consumption during agricultural operation of the process is 266,7 l/ha year.
Compared to the original value of 495.19 kg CO2 eq/ha.yr, we have a reduction of 78.4%.

The technique generated random data used Bootstrap.
Each of the rule sets produced are then evaluated on the original training data and on the test data.
There is no missing data present in the training dataset.
The technique generated random data called Bootstrap [22].
Due to ensemble techniques, there is a reduction of the bias problem that arises from the collection of data used in learning including the fixed set of parameters.

Feng Xiangzhao (2008) use Kaya equation to make no-residual decomposition of China's carbon dioxide emissions in 1971-2005 data; Zhu Qin (2009) used the extended Kaya identities to establish factor decomposition model and apply LMDI to decompose energy consumption.
From the terms of using data, IDA, KAYA equation and STIRPAT method, EKC and econometric analysis method use time series data mostly.
Limited to the access of data, structure decomposition analysis uses the cross section data.
We can conclude from the table that technical factors are the role of the positive effect, showing that technology improvement focusing on energy conservation and emission reduction really played the role.
The important direction of breakthrough for energy conservation and emission reduction policy is low carbon adjustment of structure.

The initial powders were obtained from soot and amorphous boron by the mechanochemical synthesis method, by the high-temperature synthesis (SHS) method and by the carbon reduction method.
The size of grains on the obtained sample of boron carbide obtained by reduction with carbon does not exceed 20 μm, and the size of the residual pores is about 5 μm.
Aforementioned data correlate with the findings of studies on the effect of nanosized particles on the SPS sintering process.
SEM images of the fractures of hot-pressed boron carbide specimens obtained by various methods: a) SHS method; b) reduction with carbon followed by breaking and grinding; c) mechanosynthesis of amorphous boron and soot; d) direct synthesis during hot pressing.
Nguyen, Kinetic regularities and mechanisms of hydrogen reduction of nanosized oxide materials in thin layers, Nanotechnologies in Russia, 12(11-12) (2017) 620-626

Symbols:experimental data[20 ].
Data 43(1998) 1027-1029
Data, 55 (11)(2010), 4580-4585
Data, 53(11)(2008), 2521-2531
Data, 41 (5)(1996), 1101-1103

The main factors behind simulated performance differences are thinner n-channel layer leading to reduced operating voltages and switch to stepper-based photolithography that enables roughly 4-fold layout area reductions for functionally identical circuit blocks.
The Gen. 13 circuit beneficially enables more than 10-fold reduction in simulated maximum power consumption compared to Gen. 12 logic gate, but at the penalty of significantly reduced operating frequency/speed.
For the memory IC designs, Gen. 13 technology more than doubles single-chip data storage capacity.
This is simultaneously achieved while reducing power consumption to less than 1/3rd of the power needed to operate the corresponding Gen. 12 memory chips of much smaller data storage capacity.
Likewise, Table 3 shows even larger degree (> 8X) of power consumption improvement for the Gen. 13 Venus lander and microprocessor circuits compared to Gen. 12 (despite the expansion of the microprocessor’s data/address bus width from 8 bits to 16 bits).

Data required to the computer.
The data required for input into the computer are presented in Table 1.
Schematic representation of the obtained data.
The designer so does not have adequate data for applying relation (4).
The obtained data is represented schematically in Fig. 5.

Material data for joining simulation Tensile tests at elevated temperatures.
Material data for forming simulation Tensile tests.
The result of this type of test represents a fundamental input data for the software used for structural analysis and the determination of the stress distribution.
Considering the yield loci, the criteria of Hill-90 and Barlat-2000 fitted the experimental data with high accuracy.
In the next step, the friction stir welding simulation will be carried out to study the influence of different process parameters using the generated material data.

To achieve this goal, cost reduction through the use of lower cost feedstock and the minimisation of processing steps is essential.
In addition, some data on recent DuPont powder is also presented.
Comparison of Interstitial content, PSD and packing data.
Temperature ( o C) Reduction (%) 96 97 98 99+ 98 99 99+ 97 98 99 99+ Increasing roll speed 99 Figure 5.
The results are compared with quoted data for wrought derived CP Grades 2, 3 and 4 [3].

The temperature of maximum rate of weight reduction was lower for sodium, barium and nickel exchanged brown coal than that for acid-washed coal by 50°C, otherwise, the samples of magnesium and calcium did not influence the decomposition temperature compared with acid-washed coal.
Coal samples The Yunnan brown coal were crushed, ground and sieved to less than 0.25mm, and the measured data of raw coals are listed with proximate and ultimate analysis in Table 1.
With added the NaCl, KCl, KOH, NaOH and Al2O3, all of these catalysts had little effect on the conversation of coal pyrolysis, but the temperature of maximum rate of weight reduction was higher for the hydroxide.
It not only increased the reaction conversion but also the temperature of maximum rate of weight reduction lower.
In addition, the most inorganic materials can make the temperature of the maximum rate of weight reduction lower and change the process of the Yunnan brown coal.