http://www.seipub.org/acer/RSS.aspxen-US2015-09<p class="abstract">Effects of Excess Iodine and Water on Bunsen Reaction for Over-Azeotropic Limit</p><ul><li>Pages 1-14</li><li>Author Sachidanand R. SatputeJun Kyu ParkShripad T. Revanka</li><li>Abstract Phase separation is of major importance in a Bunsen reaction in sulfur-iodine thermochemical cycle for hydrogen generation. Extensive experimental data on Bunsen reaction was collected and assembled over range of reaction temperature 293 - 393.5 K, excess iodine in the range of 1-16 moles, and excess water in the range of 1- 22 moles. The data was systematically analyzed to see key parametric effects on the reaction. The effects of iodine, water and temperature were studied on density ratio, distribution of components in two phases, reverse Bunsen reaction, SO2 dissolution, and azeotrope limits. Best operating conditions were obtained to for which Bunsen reaction would be economical. The analysis indicated that iodine excess of 4 to 6 moles, water excess of 10.5 to 12.5 moles, and temperature range of 345-360 K are the best operating range for the Bunsen reaction. These operating ranges ensure no side reaction, economical operation by avoiding excess iodine, water and complicated options to break or bypass azeotrope. In addition reverse Bunsen and SO2 solubility study are also considered for better understanding of process. Based on this study unique points of operation are recommended.</li></ul>http://www.seipub.org/acer/PaperInfo.aspx?ID=23366Advanced Chemical Engineering Researchhttp://www.seipub.org/acer/PaperInfo.aspx?ID=233662015-09<p class="abstract">Development of an Immunity-based Framework for Power Plant Monitoring and Control</p><ul><li>Pages 15-28</li><li>Author Mario PerhinschiGhassan Al-SinbolDebangsu BhattacharyyaFernando LimaGaurav MirlekarRichard Turto</li><li>Abstract In this paper, the artificial immune system paradigm is used to formulate a comprehensive and integrated framework for monitoring and control of advanced power plants. The proposed data-driven methodology is envisioned to address directly the complexity and multi-dimensionality of modern power plants and support their safe operation at desirable levels of performance under normal and abnormal conditions. Abnormal condition detection, identification, evaluation, and accommodation are addressed. A preliminary numerical simulation example using an integrated gasification combined cycle power plant illustrates the general concept and the proposed computational tools.</li></ul>http://www.seipub.org/acer/PaperInfo.aspx?ID=24376Advanced Chemical Engineering Researchhttp://www.seipub.org/acer/PaperInfo.aspx?ID=243762015-09<p class="abstract">Mathematical Modeling and Experimental Analysis for Flow of Emulsions in Porous Media</p><ul><li>Pages 29-47</li><li>Author Oluwafemi FadayiniDaniel AfolabiDaniel SamuelTaiwo OshinOlusegun Akinmoladu</li><li>Abstract It has been suggested that oil migrates through reservoir sands in the form of a fine, emulsions of oil-in-water, and that oil accumulations occur where the stream enters finer-grained rock such as silt or shale. Since emulsion is a non-Newtonian fluid and a power law fluid, the pressure drops of the emulsion (oil-in-water) depend on the viscosity, density, and other parameters such as consistency factor, K and power law index, n. Darcy’s equation, Rate equation and Equation of State were combined and used to develop the mathematical model. Experimental analyses were also carried out to validate the mathematical model. The average percentage error value between the calculated results and the experimental results was 6.57 %. Plots of correlation factors (coefficient differences) were also plotted to show and describe the disparities between the obtained model and other models. The significances of these plots were evident as it explained the range of close proximities of other models to the model. It was concluded that for pseudo-plastic type of emulsions, the pressure drop in the porous medium is inversely proportional to the viscosity of the emulsion.</li></ul>http://www.seipub.org/acer/PaperInfo.aspx?ID=24528Advanced Chemical Engineering Researchhttp://www.seipub.org/acer/PaperInfo.aspx?ID=245282015-09<p class="abstract">New Way to Produce Magnetite Nanoparticles at Low Temperature</p><ul><li>Pages 48-55</li><li>Author Filiberto Mata-PérezRefugio MartínezAzdrubal GuerreroGerardo Orteg</li><li>Abstract This work reports a simple process for preparation of stable and uniform magnetite nanoparticles (Fe3O4) at low temperature. The method is supported in three single steps and provides low-sized functionalized magnetite nanoparticles at lower temperatures than the obtained by similar methods. The samples have been characterized by x-ray diffraction (XRD), Fourier-transform infrared spectroscopy (FT-IR), transmission electron microscopy (TEM), and vibrating sample magnetometry (VSM), where it shows the nature of the nanoparticles. This study reveals that these nanoparticles are spherical in shape and have an average size of 30 nm, they present a super-paramagnetic behavior, and IR spectra show the group of N-monosubstituted amides, CO-NH in the cover of the superparamagnetic nanoparticles which avoids their agglomeration.</li></ul>http://www.seipub.org/acer/PaperInfo.aspx?ID=25530Advanced Chemical Engineering Researchhttp://www.seipub.org/acer/PaperInfo.aspx?ID=25530