Maximizing Demineralization during Chemical Leaching of Coal through Optimal Reagent Addition Policy

The main objective of the optimal reagent addition was to maximize the quantity of product with minimal quantity of feed. In the present study, the optimal addition of reagents during the chemical leaching of coal was computed. Chemical leaching of coal was carried out using aqueous solution of caustic to dissolve and remove the mineral matter. Simulation studies were carried out using the optimal reagent addition for chemical leaching of coal in batch reactors. This was experimentally validated, using the bench-scale reactor setup with hierarchical optimization architecture. Chemical leaching experiments were conducted using West Bokaro coal. Samples collected at various time intervals during the experiment were analyzed. Variations in silica (SiO2) and alumina (Al2O3) concentrations, which were main constituents present in coal ash, were evaluated with respect to time for different concentrations of caustic. The simulation studies for optimal addition were carried out at 6, 8 and 10 intervals. An objective function, required for maximum ash removal, was solved, using sequential quadratic programming (SQP) algorithm to find out the optimum sequence for reagent dosing. An improvement of about 1% (wt) ash reduction on an average was observed with implementation of optimal reagent addition.

Parameter Estimation of Kinetic Model Equations for Chemical Leaching of Coal

Coals are invariably associated with mineral matter, which makes it unsuitable for efficient utilisation. For difficult-to-wash coals, advanced coal beneficiation technologies like chemical leaching methods are under development. In this paper, kinetic equations using different methods have been evolved, and related parameters have been estimated, using the experimental results obtained during coal leaching process. As coal is a heterogeneous rock, three different methods namely (i) parametric estimation through rate equation, (ii) non-linear regression and (iii) parametric estimation through shrinking core model have been developed and validated to check the minimum level of permitted error tolerance. Experiments were designed, using full factorial design with three variables, which are sensitive to the process. Values of activation energy and k0 obtained, using the parametric estimation of rate equation and shrinking core model, are almost in the same range. The order of the reaction for silica and alumina is two, using rate equation method. The parametric data obtained from the polynomial regression method were compared with the actual data. The exponential polynomial provides a better fit for the chemical leaching process of coal.

Biodiversity of microalgae in Western and Eastern Ghats, India

The systematic study was conducted on the microalgal flora of Western Ghats and other parts of Eastern Ghats revealed a rich wetland algal resource for biotechnological exploration. The present study reveals with the diversity of microalgal flora in the region of Kodaikanal (10 degrees 14' N, 77 degrees 28' E), Gudalur (9 degrees 19'N 77 degrees 12'E), Agasthiyar falls (9 degrees 58'N, 78 degrees 10'E) and Kolli hills (10 degrees 12'N, 77 degrees 56'E) located in Western and Eastern Ghats of Tamilnadu, India collected in May 2011. In total, 97 species of micro algae belonging to three taxonomic groups were identified, of which 41 species belonging to Cyanophyceae, 38 species from Chlorophyceae and 18 species from Bacillariophyceae. The predominant species in Cyanophyceae were Aphanothece microscopica, Chroococcus minutus, Coelospharium dubium, Hydrococcus rivularism, Oscillatoria princeps, Nostoc muscorum, Nostoc puncteforme, Nostoc commune, Gleotricha gausii, Calothrix braunii, Rivellaria sp., Tolypothrix tenuis, Scytonema schmidtii, whereas in Chlorophyceae, Chlorella sp., Scenedesmus sp., Pediastrum duplex, Cosmarium consperum, Euastrum elagans, Micrasterias americana and in Bacillariophyceae, Navicula hallophyla, Rhophaldia gebrella, Fragellaria intermedia, Pinnularia virdis, Nitzchia palliate. Physicochemical nature of water samples were analyzed and correlated with the total microalgal diversity. Based on the correlation coefficient data, the micro algae showed positive relationship with dissolved oxygen, salinity, nutrients and negative relationship with temperature and turbidity. The species diversity index (H'), Species Richness (SR) and species evenness (J') were calculated and analyzed for microalgal population dynamic variation in the Western and Eastern Ghats.

Synthesis, growth, spectral and thermal properties of a new organic crystal: 2-carboxypyridin-1-ium trichloroacetate

A novel organic optical material complex of 2-carboxypyridin-1-ium trichloroacetate has been synthesized and crystals were grown from aqueous solution employing the technique of controlled evaporation. The crystal structure has been determined using single crystal X-ray diffraction studies. The single crystals were successfully grown by the slow evaporation method with dimensions 12 × 8 × 3 mm(3). FT IR spectral investigation has been carried out to identify the various functional groups present in the grown crystal. Molecular structure was confirmed by NMR spectral analysis. Melting point was found using thermal measurements.

Effect of microclimate on particulate matter, airborne bacteria, and odorous compounds in swine nursery houses

Nursery pigs are vulnerable to environmental risks associated with the microclimate and aerial contaminants. This study was carried out to assess the effect of microclimate (i.e., temperature, relative humidity, and air speed) on the quantity of particulate matter (PM), airborne bacteria, and odorants in nursery houses. Data were collected from 15 farms in different locations throughout South Korea during 4 seasons; daily sampling times were from 1000 to 1100 h in the morning. A nonparametric correlation analysis revealed correlations between microclimate variables and airborne contaminants in different seasons. Over the entire year, negative correlations were observed between temperature, air speed, and some odorous compounds (P < 0.05). Furthermore, negative correlations were observed between temperature, air speed, and relatively large airborne particulates, such as PM(10) (PM mean aerodynamic diameter ≤10 μm), PM(7) (PM mean aerodynamic diameter ≤7 μm), and total suspended particles (P < 0.05). A possible reason for these negative correlations is that increased ventilation at an increased room temperature could transfer most airborne particulates that are carried with odorous compounds out of the nursery houses. On the other hand, because of the sensitivity of coliform bacteria to temperature, positive correlations were observed between temperature and total coliform and Escherichia coli counts (P < 0.01). Because it is a challenging task to control the quantity of aerial contaminants in nursery houses, the relationships between the microclimate and airborne contaminants established in this study could be used to reduce those contaminants by controlling microclimate variables. The correlations established in the current study could also be helpful in establishing guidelines for good management practices in nursery houses.