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Angan Sengupta

Bio: Angan Sengupta is an academic researcher from Indian Institute of Technology, Jodhpur. The author has contributed to research in topics: Adsorption & Canonical ensemble. The author has an hindex of 4, co-authored 8 publications receiving 53 citations. Previous affiliations of Angan Sengupta include Indian Institute of Technology Roorkee & Birla Institute of Technology and Science.

Papers
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TL;DR: In this article, the effect of wind vector on the flame height during the calculation of safe inter-tank distance was investigated and the safe distance of separation among the tanks was calculated in no wind condition, as well as in the presence of wind.
Abstract: The present paper deals with the location of tanks in a tank farm, in chemical and allied industries. Ideally the tanks are so placed and installed that in case of fire, the neighbouring tanks could remain safe. The safe distance of separation among the tanks is calculated in no wind condition, as well as, in the presence of wind. The paper uses the methods available in literature and modifies the point source model to include the effect of wind vector on the flame height during the calculation of safe inter-tank distance. It is found that for wind velocity > 4 m/s, the modified point source model provides appropriate inter-tank distance. However, for no wind and with wind velocity

31 citations

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TL;DR: In this article, transition matrix Monte Carlo simulations in the grand canonical ensemble (GC-TMMC) are performed to investigate the role of the range of attraction on the features of fluid phase equilibria.

8 citations

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TL;DR: In this paper, the effect of individual factors influencing the properties of confined fluids such as fluid-fluid interactions, pore size and pore wall interaction were obtained using simulations as it is difficult to experimentally determine the same.
Abstract: Grand canonical Monte Carlo simulations are used to study the behaviour of triangle-well (TW) fluids with variable well widths confined inside slit pores. The effect of individual factors influencing the properties of confined fluids such as fluid–fluid interactions, pore size and pore wall–fluid interactions are obtained using simulations as it is difficult to experimentally determine the same. An interesting observation of this study is that inside the narrow pore of slit height h* = 5 at the high-pressure condition of P* = 0.8, for the TW fluid with long-range attraction or for the fluid at a low temperature for even a short-range attraction, the density profiles show layering such that there is a sticking tendency of the particles at centre, while there is a depletion of particles near the wall (as the layers at the centre have higher density peak heights than near the walls).

7 citations

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TL;DR: In this article, a simple one dimensional model has been developed from the steady state energy balance to simulate the safe distances (i.e. rim-rim distance) between fuel storage tanks containing class-I fuel (e.g. gasoline), both in presence and absence of a water-shield under no-wind and cross-wind conditions.
Abstract: Fire hazard is one of the main risks associated to fuel storage tanks in petroleum and in the petrochemical industries. Such a hazard includes pool fires in the storage tanks or in the bunds, fire propagation from the source tank to target tanks both in absence and in presence of wind, and also the cascading/domino effect due to confined and unconfined vapour cloud explosion and or BLEVE associated with the source tank. In the present work, a radiation shield of flowing water has been introduced at a distance from the source fuel storage tank to prevent the domino effect originating from this source tank, under fire, to the target fuel storage tanks in a tank farm. A simple one dimensional model has been developed from the steady state energy balance to simulate the safe distances (i.e. rim–rim distance) between fuel storage tanks containing class-I fuel (e.g. gasoline), both in presence and absence of a water-shield under no-wind and cross-wind conditions. The model predictions have shown that the maximum safe inter-tank separation distance of 28.42 m is anticipated at a wind velocity of 6 m/s, compared to 16.34 m in no-wind condition, beyond which the centroid of the parallelepiped (a solid-flame geometry) falls outside the base of the tilted flame geometry causing flattening of flame and a very sluggish increase in the flame tilt angle as the inverse of the Richardson number in the presence of wind velocity vector increases. Furthermore, the present one dimensional mathematical model has also been extended to show that introduction of a water-shield with an appropriate thickness (δopt) is able to prevent the propagation of radiation heat flux under both no-wind and cross-wind conditions to a much lower distance close to 8.34 m between tanks (measured from the centre of the source tank), than those predicted from the existing empirical models; viz. Point Source model and Shokrie-Beyler’s model.

7 citations

Journal ArticleDOI
TL;DR: In this paper, calcium alginate carbon (CAC) adsorbents were used to remove TOA anions from industrial lean DGA solvent, and the results showed that TOA uptake increased with the increase in the solution temperature.

6 citations


Cited by
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TL;DR: It is demonstrated that vertex-level closeness and betweenness can be used in the unit vulnerability analysis of process plants for the identification of critical units within a process plant and in the plant-wide vulnerability analysis for the Identification of the most vulnerable plant layout with respect to the escalation of cascading effects.

111 citations

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TL;DR: This study shows that compared to a static worst-case accident analysis, a dynamic consequence analysis provides a more rational approach for risk assessment and management of domino effects and presents the application of Bayesian networks and conflict analysis to risk-based allocation of chemical inventories to minimize the consequences and thus to reduce the escalation probability.
Abstract: Domino effects are low-probability high-consequence accidents causing severe damage to humans, process plants, and the environment. Because domino effects affect large areas and are difficult to control, preventive safety measures have been given priority over mitigative measures. As a result, safety distances and safety inventories have been used as preventive safety measures to reduce the escalation probability of domino effects. However, these safety measures are usually designed considering static accident scenarios. In this study, we show that compared to a static worst-case accident analysis, a dynamic consequence analysis provides a more rational approach for risk assessment and management of domino effects. This study also presents the application of Bayesian networks and conflict analysis to risk-based allocation of chemical inventories to minimize the consequences and thus to reduce the escalation probability. It emphasizes the risk management of chemical inventories as an inherent safety measure, particularly in existing process plants where the applicability of other safety measures such as safety distances is limited.

72 citations

Journal ArticleDOI
TL;DR: In this article, the authors used the Fire Dynamics Simulator (FDS) to simulate tank and dike pool fires in a tank farm and evaluated the potential for secondary fire events in nearby storage tanks based on the resulting incident radiative heat flux.

71 citations

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TL;DR: In this article, a case study focused on the identification of event sequences and accident scenarios following lightning impact on atmospheric tanks is presented, where reference event trees, validated using past accident analysis, are provided to describe the specific accident chains identified, accounting for reference protection and mitigation safety barriers.

68 citations

Journal ArticleDOI
TL;DR: In this paper, a mesoscopic model of a chemically active colloidal particle which on certain parts of its surface promotes chemical reactions in the surrounding solution is studied, in which only electrically neutral species are present in the solution and on chemical reactions which are described by first order kinetics.
Abstract: We study a mesoscopic model of a chemically active colloidal particle which on certain parts of its surface promotes chemical reactions in the surrounding solution. For reasons of simplicity and conceptual clarity, we focus on the case in which only electrically neutral species are present in the solution and on chemical reactions which are described by first order kinetics. Within a self-consistent approach we explicitly determine the steady state product and reactant number density fields around the colloid as functionals of the interaction potentials of the various molecular species in solution with the colloid. By using Teubner's reciprocal theorem, this allows us to compute and to interpret -- in a transparent way in terms of the classical Smoluchowski theory of chemical kinetics -- the external force needed to keep such a catalytically active colloid at rest (\textit{stall} force) or, equivalently, the corresponding velocity of the colloid \textit{if} it is free to move. We use the particular case of triangular-well interaction potentials as a benchmark example for applying the general theoretical framework developed here. For this latter case, we derive explicit expressions for the dependences of the quantities of interest on the diffusion coefficients of the chemical species, the reaction rate constant, the coverage by catalyst, the size of the colloid, as well as on the parameters of the interaction potentials. These expressions provide a detailed picture of the phenomenology associated with catalytically-active colloids and self-diffusiophoresis.

59 citations