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        A simple thermo-physical model for vapor–liquid equilibrium of the reactive HIx (HI–H2O–I2–H2) system

        Subhasis Mandal,Amiya K. Jana 한국공업화학회 2014 Journal of Industrial and Engineering Chemistry Vol.20 No.5

        Thermodynamic phase equilibrium of the reactive HIx system encountered in the sulfur-iodine (SI) cycle has been identified as a basic research need for the hydrogen economy. In this communication, a simple NRTL (nonrandom two-liquid)-based vapor–liquid equilibrium (VLE) model is devised for the HIx system considering the HI decomposition reaction in the gas phase only. We propose a new set of NRTL binary interaction parameters as well as a new expression for the HI decomposition chemical equilibrium constant as a function of temperature. This simple VLE model with the use of only one set of NRTL binary parameters is capable of reproducing the Larousse et al. (Int. J. Hydrogen Energy 34 (2009) 3258–3266) experimental data for a wide range of pressures (1–24 bar) and HI concentrations beyond the azeotrope. 2013 The Korean Society of Industrial and Engineering Chemistry. Published by Elsevier B.V.

      • SCIESCOPUSKCI등재

        Simulating reactive distillation of HIx (HI-H<sub>2</sub>O-I<sub>2</sub>) system in Sulphur-Iodine cycle for hydrogen production

        Mandal, Subhasis,Jana, Amiya K. Korean Nuclear Society 2020 Nuclear Engineering and Technology Vol.52 No.2

        In this article, we develop a reactive distillation (RD) column configuration for the production of hydrogen. This RD column is in the HI decomposition section of the sulphur - iodine (SI) thermochemical cycle, in which HI decomposition and H<sub>2</sub> separation take place simultaneously. The section plays a major role in high hydrogen production efficiency (that depends on reaction conversion and separation efficiency) of the SI cycle. In the column simulation, the rigorous thermodynamic phase equilibrium and reaction kinetic model are used. The tuning parameters involved in phase equilibrium model are dependent on interactive components and system temperature. For kinetic model, parameter values are adopted from the Aspen flowsheet simulator. Interestingly, there is no side reaction (e.g., solvation reaction, electrolyte decomposition and polyiodide formation) considered aiming to make the proposed model simple that leads to a challenging prediction. The process parameters are determined on the basis of optimal hydrogen production as reflux ratio = 0.87, total number of stages = 19 and feeding point at 8th stage. With this, the column operates at a reasonably low pressure (i.e., 8 bar) and produces hydrogen in the distillate with a desired composition (H<sub>2</sub> = 9.18 mol%, H<sub>2</sub>O = 88.27 mol% and HI = 2.54 mol%). Finally, the results are compared with other model simulations. It is observed that the proposed scheme leads to consume a reasonably low energy requirement of 327 MJ/kmol of H<sub>2</sub>.

      • KCI등재

        Dynamics and risk assessment of SARS-CoV-2 in urban areas: a geographical assessment on Kolkata Municipal Corporation, India

        Paul Suman,Bhattacharya Subhasis,Mandal Buddhadev,Haldar Subrata,Mandal Somnath,Kundu Sanjit,Biswas Anupam 대한공간정보학회 2021 Spatial Information Research Vol.29 No.3

        SARS-CoV-2 has been transmitted and outbreak took place in India during the last week before nationwide 1st lockdown took place. Urban areas found more vulnerable and reported nearly 65% of cases during every phase of lockdown. Mumbai, among four metropolitan cities found huge number of containment zones with nearly 30% of SARS-CoV-2 cases indicating clustering of cases. Most of the containment zones of SARS-CoV-2 cases in Kolkata Municipal Corporation found a significant relation with slum areas. The study primarily tries considering the nature of SARS-CoV-2 cases in different urban centres with the help of cartographic techniques. AHP method has been used to determine the factors responsible for such concentration of SARS-CoV-2 cases with vulnerability assessment (exposure, sensitivity and resilience) and risks. Before nationwide lockdown starts, the share of urban centres found 25% which has been transformed into nearly 60% at the end of 3rd phase of lockdown. Growth rate of SARS-CoV-2 cases found very high for Chennai and Thane with less number of doubling time to nation. Slum concentration and containment density shows a higher degree of correlation in Kolkata Municipal Corporation. Risk map also shows the concentration of cases in central and north Kolkata with higher degree of diseases exposure and sensitivity. Control measures must be taken by the central and state Government to minimise the transmission rate of SARS-CoV-2 mainly urban areas. As urban area contributing a higher share of SARS-CoV-2 cases, a proper management plan must be enforce.

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