Search results

The guideline how to estimate this convection heat transfer coefficient based on the preliminary experimental data is also presented in this paper.
The variation in the final pressure of the initial pressurization process affects little the minimal total mass of the system, and therefore we need not deliberately augment the final pressure of the initial pressurization process more than 10 bar for further significant reduction in the total mass of the system.
From the experimental data, we can estimate the average convection heat transfer coefficient during the discharge process by the following procedure: 1.
The estimated convection heat transfer coefficient by this method using the experimental data is approximately 9.8 W/m2K.

Langmuir, Sips and Tóth isotherm models were used to correlate the equilibrium data.
Adsorption equilibrium data.
Modelling Modelling of equilibrium data.
Experimental CO2 breakthrough data and models adjustments are shown in Fig. 5.
This model presented a deviation less than 10% when compared to equilibrium data.

For in the latter technology the data is 80% for vanadium and only 10% for chromium.
All experimental data were the averages of two or three parallel experiments.
Jin et al. [26] have compared the oxygen reduction reaction (ORR) in NaOH and KOH solutions, and found out that the ORR in KOH solutions was more favorable in comparison with that in NaOH solutions in both kinetic and thermodynamic considerations.
Zhang, Comparison of the oxygen reduction reaction between NaOH and KOH solutions on a Pt electrode: The electrolyte-dependent effect, Journal of Physical Chemistry B. 114 (2010) 6542-6548.

Hence, crash data was sourced from the Namibian National Road Safety Council (NRSC) for the road above classes.
Namibian national rural road classes. 2.2 Data collection Road crash data on the Namibian national rural road network was obtained from the National Road Safety Council from 2012 to 2016.
The choice of post-hoc tests depends on the variances from Levene’s test and the sample sizes of the crash data groups. 4.
The study computed 21.3 FSI crashes per 100,000 population based on Namibian population data.
Bruce, Practical Statistics for Data Scientists: 50 Essential Concepts, vol. 1, no. 1.

Moreover, the data acquisition setup is not economically viable.
Tests were conducted on pipe sections under a variety of load conditions including internal pressure, axial compression, bending, and local buckling, and test data was monitored remotely through internet access.
The corrosion rate can be identified using the soil corrosivity data.
The observed data can be used to calculate the present safety factor of the system.
A source separation technique for processing of thermometric data from fiber-optic DTS measurements for water leakage identification in dikes, IEEE Sensors J, vol. 8, no. 7, pp. 1118-1129

Utilizing the data gained from finite element studies conducted by others, the method extracted for measuring the critical buckling load is illustrated for a broad variety of section measurements.
As such, since a reduction in the shear stiffness was found, these columns suffer greater decreases in their buckling ability.
While the second additive material was (Hyperplast PC200) is a superplasticizer 3rd generation for mortar and concrete as a High-Ranges Water Reduction Additives (HRWRA).
The data was automatically obtained using a method for data collection Fig.
Majdi et al., ‘Experimental data on compressive strength and ultrasonic pulse velocity properties of sustainable mortar made with high content of GGBFS and CKD combinations’, Data Br, vol. 31, p. 105961, 2020

The enhancement of strength is closely connected to the reduction of sheet metal thickness.
Compared to the nominal angle αnom of the tool active parts, the measured springback angles Δα can be calculated with formula (1): (1) For comparison of the springback values, the arithmetic mean of the springback angles Δα of each data set is to be calculated with (1): (2) Another statistical approach for looking at the springback angles consists of evaluating their statistical dispersion within a data set.
It is a general observation that can be seen over most of the data sets that the springback Δα reduces with increasing stroke rates.
This data set corresponds quite well with what can be expected due to the mechanical properties.
Fig. 5 presents the example of two data sets.

MATLAB Data plot for boiler output.
Where: u(k) - input data, y(k) - output data, N - number of the data set, k – discrete time step of the data set
Input Data plot for training.
Input Data plot for Validation. 2.2.
Outputs of the identified model and actual system for training data and Modeling error for training data.

Study of forestsb on offsetting carbon emissions from energy consumption in Tianjin,China Shangao Xiong1,a,Hongyuan Li1,b,Xiao Ding1,c,Xunqiang Mo1,d 1College of Environmental Science and Engineering,Nankai University,Tianjin,China axiongshangao1985@163.com, bhongyuan@nankai.edu.cn, cdyongxu@sina.com,dmoxunqiang@mail.nankai.edu.cn Keywords: Carbon storage,carbon emission,energy consumption Abstract：Forests can play an important role in mitigating the impacts of climate change by reducing atmospheric carbon dioxide.The purpose of this study is to quantified carbon storage and sequestration by forests and carbon emissions from energy consumption by several energy types in Tianjin,China,as well as the role of forests on offsetting carbon emissions from fossil fuel combustion.Data used for this study were collected according to the sixth national forest inventory(1999-2003) and China energy statistical yearbook.The results showed that the forests including natural forests and plantation
The study quantified carbon storage and sequestration by forests and carbon emissions from energy consumption in Tianjin,as well as the role of forests on offsetting carbon emissions from fossil fuel combustion.The aim is to provide the scientific basis of forestry development and carbon emission reduction for forests managers and government decision-making departments.
China Tianjin Fig.1 Location of Tianjin,China Forest inventory data Based on the sixth national forest inventory,which was carried out in China during 1999–2003.The age classes used for the inventory are based on national guidelines for forest resource surveys including nature forest and the plantation(Table 1).
Fossil fuel consumption and carbon emissions Consumption of fossil fuels by industrial energy used for 1999–2003 were quantified based on statistical data published for China energy statistical yearbook.

The data best fit with Freundlich model.
The reduction in uptake capacity with increase in sorbent dosage could be attributed to reduced rate of dye transfer on to adsorbent surface [10].
From the analyzed data and values of regression factor (R2), it is evident that the adsorption of MB on to Kigelia africana leaf adsorbent has followed Freundlich model.
The data best fit in to the model with R2 value 0.9977.