Search results

ISO 14040:2006 standard defines the scope of LCA analysis from cradle to grave or from grave to usage, depending on data collection facilities [9].
Sobrino et al. (2011) found a CO2eq. emissions reduction range of 84% to 91% for biodiesel compared to diesel [11].
To quantify CF and EP, computational tools combining emission factor data, global warming potentials, and calculation equations for each stage can be used.
The next step involves gathering Greenhouse Gas (GHG) emissions data generated during Biodiesel manufacturing at each stage of the LCA.
/FU at each stage of the LCA, as indicated in equation (1): C=AD*DE*GWP (1) where: C = Concentration of emissions in weight of CO2 equivalent AD= Activity Data ED= Emission Data GWP = Global Warming Potential In Equation (2), the CF is established as CO2eq/FU.

The data acquisition speeds up to 2500 points per second.
All the data were recorded simultaneously by an electronic data logger.
Results and discussion The experimental results are herein reported and discussed in terms of qualitative and quantitative data.
A first data elaboration consists in the analysis of load (kN) versus deflection (mm) relationship referring to the point of load application as illustrated in Fig. 5 a-d.
The wider resin-free un-bonded regions implied a reduction of the load bearing capacity of the LHA.

An analysis of published data indicates that a huge amount of literature is available on the preparation and properties of bulk Cd1-XFeXSe, but little is known regarding thin films.
X-ray diffraction data of electrodeposited Cd-Fe-Se thin films were recorded using a JEOL-JDX 8030 diffractometer with CuKα radiation (λ=0.15418 nm).
The optical absorption data were used to plot a graph of (αhν) 2 versus hν, where α is the optical absorption coefficient of the material and hν is the photon energy.
JCPDS Diffraction Data Card No. 75-0608 (2003)
JCPDS Diffraction Data Card No. 08-0459 (2003).

Applications in this field could include a range of purposes including data acquisition and location positioning, thereby reducing the weight and accompanying cost of space exploration as well as providing increased performance/reduced cost in future military applications [4].
As the material is not intended for application in plane strain conditions this is of little concern, although the absence of standards for testing of this type does limit comparison of data between difference sources.
In the case of the macroscale samples this data is compared to; values are not validated as K1c due to difficulties associated with the introduction of correctly orientated pre-cracks (a) (b) (a) (b) into such a brittle, lamellar material.
This data confirms that the modelling of materials behaviour upon the microscale using data obtained from macrosized samples is likely to provide large inaccuracies, particularly in cases in which the material has a significant directionality within its structure.
These values are significantly lower than those obtained by macroscale testing, a difference that is attributed to a reduction in crack wake extrinsic toughening and the fact that the material is not under plane strain conditions.

It was reported that in 10-year data collection, the most affected age group which cause traffic related-death is children aged 1 to 4 followed by aged 5 to 9 with approximately 43.8% and 30.2% respectively [2].
Germany is one of success country in implementing CRS law whereby between 1995 and 2007, the number of child fatalities shown reduction up to 75%, while the number of seriously injured showed a 57% reduction[6].
Analyses of ASEAN NCAP COP were conducted based on 28 data cases of crash test performed in three phases.
Only 10.7% tested vehicles received full mark for this assessment Meanwhile, for P1.5 dummy, no data shows that it failed the test requirement. 53.7% and 46.4% of the P1.5 occupant data considered as in middle area and “Good” respectively.
Acknowledgment The authors would like to thank The Malaysian Institute of Road Safety Research for the funding of this research, and MIROS PC3 Laboratory for essential data used in this study.

Spatio-temporal Variations of Aerosol Optical Depth over Areas Around Beijing in Recent 14 Years Liu Hao1, Tang Xinming2, Cao Wei3,a, Xie Zhiying4, Lei Jinghan5, Li Ming6 and Gao Yang7 1Academy of Disaster Reduction and Emergency Management, Beijing Normal University, Beijing 100875 China 2Satellite Surveying and Mapping Application Center, National Administration of Surveying, Mapping and Geo-information, Beijing 100830 China 3Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101 China 4Lanzhou Jiaotong University, Lanzhou 730070 China 5Faculty Of Education, Beijing Normal University, Beijing 100875 China 6National Geomatics Center of China, Beijing 100830 China 7Capital Normal University, Beijing 100048 alihaha1985@126.com(corresponding author) Key Words: MODIS; Aerosol optical depth; Spatio-temporal variations; Areas around Beijing Abstract.
Based on the monthly data of MODIS Level 3, the spatio-temporal variabilities of Aerosol Optical Depth (AOD) over areas around Beijing have been analyzed from March 2000 to December 2013.
As we know, aerosol properties are greatly affected by the specific weather process, so daily data is not suitable for us.
Therefore, we used MODIS Level 3, version C5.1, 550nm wavelength aerosol data set, with a resolution of 1°×1°, from March 2000 to December 2013, this data is monthly mean data set from EOS-Terra[5]. 3 Results and analysis 3.1 Temporal variations of AOD (1) Inter-annual variations In recent 14 years, from Fig.1 the annual mean AOD vary between 0.428 and 0.550, which reach its peak at 2006 with an AOD of 0.550, and reach its trough in 2004 with an AOD of 0.428.
A Critical Look at Deriving Monthly Aerosol Optical Depth From Satellite Data[J].

We have compared the test results with model data.
The first assumption used is that the interface and beam spreading losses are negligible, that is, all a signal reduction factor terms equal one.
The parallel port of the PC is used to output the motor control signal and a high-speed data acquisition board is used to digitize the ultrasonic signals.
A graphics based user interface software was developed for scan control and data analysis.
Those data are going up and down regularly.

The energy and thermodynamic analysis of the CCP carried out gave result with the cycle efficiency of 94.92%, an efficient process with 20% energy reduction due to compression and pumping action done by incorporating pumps in the process.
The use of electrochemical CO2 reduction reaction as a carbon recycling method to minimize the amount of CO2 levels in the atmosphere, (the major reason for climate change,) in order to control global warming within relatively safe level [14] gave rise to alternative fuel, such as CO, CH4, hydrocarbons, and alcohols.
The materials used in this article are: physiochemical and thermodynamic data (including data from the plant, Aspen HYSYS, flue gas characterization, and MEA), design textbook, CCP, and process flow diagram shown in Figure 1.
Input Parameter for Simulation S/N Parameter Value/Unit 1 Flue Gas Characterization CO2 8.7%, H2O 17.8%, N2 73.3%, O2 0.2%, SO2 0.0017%, and NOX 0.0097% all in mol/mol basis. 2 Process Conditions Pressure 101.6kPa, Temperature 1500C, and Flow rate 500tons/day 3 HYSYS Data Process flow diagram, Process flow sheets Results and Discussions The simulation results, the mass balance and design specifications results, mechanical design results and energy and cost results are summarily presented in tables 1 to 12.
Qingyu, Machine Learning Assisted Understanding and Discovery of CO2 Reduction Reaction Electrocatalyst, A publication of American Chemical Society, Journal of Physical Chemistry. 127, 2 (2023) 882-893

From these equations, the pump speed reduction will reduce pump flow, pump head and motor shaft power.
System Structure and Composition The entire system takes the programmable controller as the core, and is divided into five parts, including data acquisition, automatic control, executing mechanism, terminal monitor and data communication.
In the data acquisition process, it’s necessary to detect the water level changes in real-time.
Local control cabinet can collect operating data of the field devices and signals of sensor.
The system has a flexible way of monitoring and the data communication is convenient.

The technique when applied to a series of well annealed polycrystalline metals gives two photon momentum data on a quality comparable to that obtainable using 1D Angular Correlation of Annihilation Radiation (ACAR).
Dots represent the experimental ACAR data of ref. [10].
The g function before deconvolution (left) and f function after deconvolution (right) of CDBS data are shown accordingly in respect to the corresponding ACAR data.
the 1D-ACAR data by Lang et. al. [10] which are shown as dots.
Ho (Full name: King Fung HO) Table 1 Positron Lifetime measurements and Fermi wave vector pF data obtained from CDBS for various metals.