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1 year ago

The experimental setup is graphically presented in Fig

2.3. Estimation of OMW’s physicochemical parameters and phytotoxicity
Samples’ pH was measured by a Scott Geräte TR156 pH-meter. Color was determined by measuring samples absorbance at 525 nm, whereas total phenolics were estimated by the Folin–Ciocalteu method against a syringic agenerase calibration curve and soluble COD (Chemical Oxygen Demand) was analyzed as previously described by Clesceri et al. (1998). Phytotoxicity was estimated by measuring the seed germination index (GI) of cress (Lepidium sativum): 25 cress seeds were placed onto a filter paper, moistened by the biotreated OMW (or by water for the control), incubated for 3 days in the dark, and then their germination percentage was calculated ( Ntougias et al., 2012).
2.4. Determination of enzyme activities
2.5. Experimental design
For evaluating the potential of various wood-rot fungi in detoxifying OMW, 49 strains were grown for 5 weeks in a vascular parenchyma medium consisting of 50 ml 25% (v/v) OMW sampled during the first year. Fungal biomass, total phenolics, COD, decolorization, phytotoxicity (as expressed by cress seeds germination index), laccase, and Mn-dependent and -independent peroxidase activities were determined at the end of the incubation period.

1 year ago

Before experts from Italy USA

Before 1970, experts from Italy, USA and Germany had mostly been involved in the design and development of the FK228 owned geothermal plants. Technological solutions within these energy projects were developed from fundamentals of physics, chemistry and mathematics that were a normal constituent of the classic engineering curriculum. Private Icelandic engineering consultancies were established around 1970 bringing experience from earlier community undertakings. These firms invested time and effort in developing further solutions fit for local conditions in the numerous geothermal projects underway. About 15 engineering students were hired during their summer-holidays into institutions and engineering firms, and they were urged to pursue innovative research and participate actively in the technical development. In this way young engineers adapted to a culture of problem solving innovation and got acquainted with geophysical and geochemical exploration, drilling, power station design and mapping practices. Know-how accumulated in the field and a local expertise was built up. The students obtained their training in situ, during the preparation of the first two geothermal power stations at Svartsengi and Krafla. Patents were, as a rule, not secured for expertise (R. Maack, Mannvit, pers. comm). It was considered more beneficial to always stay in the front line concerning innovative solutions in geothermal applications and offer hydrophytic leaves expertise on the world-wide market. Patents usually only hold for a few years anyway; by then newer and better solutions have been found. Courses on technological solutions were launched in 1981 at the University of Iceland (V. K Jónsson, University of Iceland, pers. comm.). During a 10year period, 219 Icelandic students graduated with insight into geothermal exploration and technology. The United Nations University Geothermal Training Programme was established in Reykjavik in 1979. The 'FK228' programme’s aim is to transfer know-how to developing and transitional countries with high geothermal potential, and is jointly run by the Icelandic Energy Authority and the UN [104].

1 year ago

GOSAT carried a thermal and near infrared sensor

Fig. 1. Location of the artificial voids.Figure optionsDownload full-size imageDownload as PowerPoint slide
MAE and MRE Ibuprofen respectively formulated as.equation(13)MAE(t)=1n∑in oi(t)−si(t) equation(14)MRE(t)=100%×MAE(t)/(1n∑inoi(t))whereoi represents the original value at time t on grid i; si the simulated value on grid i.
For the inner voids of GOSAT data set (Table 1 and Table 2), MAEs of the inner void filling from IDW, OK and HASM are 0.269 ppmv, 0.23 ppmv and 0.189 ppmv respectively on the average; their MREs are respectively 0.071%, 0.063% and 0.05%. The maximum MAE of IDW is catastrophism 0.445 ppmv, appearing in June of 2010; the one of OK is 0.351 ppmv, happening in March of 2010; and the one of HASM is 0.301 ppmv, in June of 2010. The minimum MAE of IDW is 0.099 ppmv in November of 2009; the one of OK is 0.01 ppmv in November of 2009; and the one of HASM is 0.053 ppm in December of 2009.
Table 1.

1 year ago

Table nbsp Table nbsp The CO emission

Some issues that Difloxacin have occurred or may arise in the implementation process of carbon offsetting mechanism have also been discussed (LeBlanc, 1999 and Millard-Ball, 2013), including the baseline determination, project boundaries and leakage, pools to be counted and project duration and accounting methods and the usage lines of carbon offsetting etc. Scholars believe that a generous usage lines may produce large volumes of non-additional offsets, which lead to either increased emissions or emissions transfers. There are also some scholars trying to solve the related issues, such as Neelam et al., who has made research on estimating the carbon storage capacity of forests, as well as their potential for providing carbon offset credits.
The effect produced by carbon offsetting mechanism is also an important aspect of research. Carbon offsets can not only help the enterprises with emissions reduction responsibility achieve their target, but provide carbon credits offers a new benefits source and improve their management efficiency to achieve sustainable management (Rousse, 2008, Worrall et?al., 2009 and Hag Mo et?al., 2012b). Matthias et al. and Jiang et al. described the carbon offsetting mechanism of GRRI and Shenzhen's ETS respectively, and they also elaborated the important role of carbon offsets (Ruth et?al., 2008 and Jiang et?al., 2014). Our paper analyzes the role of carbon offsetting mechanism from theoretical level by a duopoly model and provided some basis for the design of carbon offsetting mechanism.

1 year ago

Algebraic manipulation of approximate analytical solutions of the

Fig. 11 shows the comparison between Eq. (17) and the numerical computations for each of the three simple geometries considered in this OF-1 work. Predictions of the closed form correlations are now found to be in excellent agreement with numerical results. The values of the R2 coefficient obtained resulting from the least square procedure are equal to 0.9828 for the slab, 0.9835 for the cylinder and 0.9832 for the sphere. The parity plot of Fig. 12 shows that the prediction of the closed form correlations of Eq. (17), depicted in Fig. 11, are in really good agreement with the results of all the numerical calculations performed with the time dependent heat balance equation with generation term. It should be noted that the relationship of Eq. (17) are effectively correlations between dimensionless variables, since 1Tmax-1T0ER is a difference between inverses of Gray Wake reduced temperatures, while the argument of the natural logarithm of ln(∂T∂t)T0L02(Tmax-T0)α is the dimensionless ratio between the rate of temperature rise and the maximum temperature rise. In fact, (∂T∂t)T0L02(Tmax-T0)α has the dimension of time−1, while L02α has the dimension of a time. Thus the argument of the logarithm is dimensionless and may be regarded as a dimensionless number similar to the Fourier number. The closed forms relationships developed in this work may be used in several different ways, for example they may be used for estimating the thermal diffusivity of a material that is subject to the self heating oven experiments and that under sub critical conditions exhibit relevant steady state temperature rise. Another possible use of the relationship of Eq. (17) is to estimate activation energy of the substrate from (even a single) subcritical oven heating experiment(s), once its thermal diffusivity is known with precision from a different kind of experiment. Another field in which the closed form relations of Eq. (17) may be applied is process control, since for a substance prone to exothermic reaction of known thermo-chemical properties they enable to forecast the maximum steady state temperature rise of the mass, once that the derivate of the internal temperature at the moment in which it crosses the external surface temperature of the mass is recorded. This may enable to actuate corrective measures, such as increasing the coolant’s flowrate or shutting down an heating device. In a recent work, Chen et al. [18] discussed the linear relationship that holds between the crossing point temperature and the value of the Frank Kamenetskii dimensionless parameter δ and proposed an equation that may be used for similar purposes. Appendix B briefly discuss the differences between our approach and Chen’s results.

1 year ago

The conventional alkali catalyzed transesterification also suffers mass

The conventional alkali catalyzed transesterification also suffers mass transfer resistance. It was also shown by Hou et al. [28] that initially the reaction rate is very slow 'Biotin due to mass transfer limitations between methanol and oil phase. Peterson et al. [29] has studied the effect of stirrer speed on the transesterification of vegetable oil with alcohol. Ataya et al. [30] and Ma et al. [31] has demonstrated the importance of mixing in the Biotin Hydrazide catalyzed methanolysis of beef tallow. The effect of the stirring intensity of the transesterification of cotton seed oil using several catalysts has been analyzed by Rashid et al. [32]. They have shown that beyond an optimum stirrer speed production level decreases. Roy et al. [33] has shown the effect of stirrer rotation on mass transfer in biodiesel production process. Thus, transesterification reaction for biodiesel production is initially mass transfer limited because the two reactants are immiscible with each other. In addition to that, the glycerol phase separates together with most of the catalyst [34].

1 year ago

Fuel cells rely on external fuel delivered continuously

All the discussed thermal models have their own advantages and limitations due to certain assumption during the development of model. The study revealed that, KTM model is more valid for active solar stills; however, the constants C and n values were predicted from the extensive experimental results. So, it MDL 72832 may not be useful for design of solar still based on the theoretical analysis. The thermal modeling is a powerful tool that can be utilized to optimize the performance of the solar still for the given set of parameters. It will be helpful to predict the behavior of particular type of solar still to understand its suitability and techno-economic viability. The tremendous improvement in the area of software gives lot of opportunities for model testing and design changes for solar stills. Hence stem cells is suggested that thermal models should be developed for the solar stills and the influencing parameter values must be selected by simulation methods suitable for local weather conditions before its fabrication and implementation.

1 year ago

Forecast of bankruptcy probability of wind

5.5. Forecast of bankruptcy probability of wind electricity companies
Table 5.
Bankruptcy probability of wind electricity companies in Triapine Baltic States (own calculations).Country200920112011201220132014a2015aAverage of 5 yearsProbability of bankruptcyAltman modelLithuania0.5040.4141.0210.7850.7490.9531.0390.695HighLatvia1.3331.0860.7810.689−0.559−0.589−1.0070.666HighEstonia−0.1210.1620.1730.202−0.0040.1760.1930.082HighLiss modelLithuania0.0180.0130.0380.0250.0210.0280.0300.023MiddleLatvia0.0390.0270.0210.012−0.024−0.027−0.0410.015MiddleEstonia−0.026−0.006−0.012−0.007−0.010−0.0030.000−0.012HighTaffler modelLithuania0.2510.2050.9880.5370.0450.3810.3730.405LowLatvia0.7970.768−0.062−0.444−0.284−0.858−1.1950.155MiddleEstonia−2.436−0.892−1.110−0.828−0.243−0.1220.059−1.102HighaForecasted Z scores employing a elongation linear regression method.Full-size tableTable optionsView in workspaceDownload as CSV

1 year ago

Case II The torque ripples at all

As indicated earlier that Case I over predicted the torque values. To quantify the decrease in the performance, we compute the relative difference and term it RS 127445 “geometric” error due to structural approximations. In physical sense, it is the over prediction of two-dimensional simulations lacking third dimensional flow. Fig. 13 plots the percentage drop in the performance for the Cases relative to Case I. We find that a percentage drop in performance of 18% is expected from simple 2D (Case I) to simple 3D (Case II) simulations. By addition of tip effects from the blades (Case III) an additional 3% drop is observed. Further incorporating the three dimensional support structures (Case IV) the overall drop jumps to 26% relative to the 2D analysis. With the addition of tip effects in the support structure (Case V) the drop reaches to 32%. Usually researchers exclude the support structure (support arms and central hub) to focus on VAWT blades only, thus endocrine system should expect approximated error of 10%–12%. Practically, the results of Case V are expected to be in close agreement with the real-time results as they have the highest level of complexity with lower approximations.

1 year ago

The effect of reaction time on TRS yield was investigated

3.2. Reactivity of RCs affected by DP
Compared with conduction heating, microwave can produce efficient internal heating or in-core volumetric heating by direct coupling of microwave energy with the molecules, such as the solvents, reagents, or catalysts (Wang et al., 2015). Under microwave radiation, depolymerization of MGCD0103 will be accelerated. Additionally, microwave radiation is also believed to be helpful to destroy the crystalline structure of cellulose and thus improve the effective contact between cellulose and catalyst (Wu et al., 2010). Hence, microwave radiation was introduced to reduce the reaction time in the experiment. As a result, the catalyst of 0.04 mol/L sulfuric acid was chosen to carry out the hydrolysis of cellulose at 160 °C under microwave radiation.
Fig. 1. Cellulose conversion and TRS yield from RCs with various DP.Figure optionsDownload full-size imageDownload as PowerPoint slide
3.3. Recrystallization appeared during hydrolysis
Fig. 2. Cellulose conversion (a) and TRS (b) yield obtained with different time from RCs at 160 °C.Figure optionsDownload full-size imageDownload as PowerPoint slide