Sandip Kumar Lahiri, PhD has over 26 years of experience in operation, process engineering and technical services for the leading petrochemical industries across globe. He has done technical consultancy of leading Fortune 500 petrochemical plants across globe astechnology advisor and sited in World Who’s Who as significant contributor
Often it is time-consuming to monitor conditions in modern complex process plants since there is ... more Often it is time-consuming to monitor conditions in modern complex process plants since there is an abundance of instrumentation chat measures thousands of process variables every few seconds. This has caused a "data overload" and due to the lack of appropriate analyses this wealth ot information is underutilized. Operating personnel typically use only a few variables to monitor the plant's performance. Fortunately, groups of variables often move together because more than one variable may be measuring the same driving principle governing [he process behavior. Multivariate statistical methods such as principai component analysis (PCA) are capable of compressing the information into low-dimensional spaces that retain most of the information. Using this method of statistical data compression a multivariate monitoring procedure has been developed to efficiently monitor performance ot large processes and rapidly detect and identify important process changes. A graphical in...
Department of Chemical Engineering, Department of Earth and Environmental Studies, Department of ... more Department of Chemical Engineering, Department of Earth and Environmental Studies, Department of Chemistry, National Institute of Technology Durgapur, Durgapur-713 209, West Bengal, India E-mail: susmita.dutta@che.nitdgp.ac.in <em>Manuscript received online 29 May 2020, revised and accepted 25 August 2020</em> In the present study, Chlorococcum sp., a green alga – collected from coke-oven effluent treatment plant, was used for the sequestration of carbon dioxide at diverse initial CO<sub>2</sub> concentrations (5-30%), pH of the medium (7-11) and inoculum sizes (5-12.5%), respectively. The test strain showed sustainability in growth upto 30% CO<sub>2</sub>. However, the maximum CO<sub>2</sub> sequestration was found to be 79.08±0.89% at 5% CO<sub>2</sub>, pH 9 and 12.5% inoculum size for the test strain. Since phenomenological modeling is difficult to build in such systems, artificial neural network modeling technique was t...
Often it is time consuming to monitor the plant condition in modern complex process industries as... more Often it is time consuming to monitor the plant condition in modern complex process industries as there is abundance of instrumentation that measure thousands of process variables in every few seconds. This has caused a "data overload" and due to the lack of appropriate analyses very little is currently being done to utilize this wealth of information. Fortunately, in process, groups of variables often moves together because more than one variable may be measuring the same driving principle governing the behavior of the process. Multivariate statistical methods such as Principal Component Analysis (PCA) are capable of compressing the information down into low dimensional spaces which retain most of the information. Using this method of statistical data compression a multivariate monitoring procedure has been developed to efficiently monitor the performance of large processes and to rapidly detect and identify important process changes. A graphical interface was developed w...
Journal of Chemical Engineering Research Updates, 2016
A novel method for optimum design of plate type distillation column integrating the equilibrium,... more A novel method for optimum design of plate type distillation column integrating the equilibrium, hydraulic and economic calculations is presented in the present paper. The present study explores the use of non-traditional optimization technique: called hybrid Particle swarm optimization (PSO) and Ant colony optimization (ACO), for design optimization of plate type distillation column from economic point of view. The optimization procedure involves the selection of the major plate geometric parameters such as hole diameters, ratio of downcomer area to tower area, weir height, fractional hole area in tray, tray spacing, tower diameter etc. and minimization of total annual cost is considered as design target subjected to operational constraints like flooding, weeping entrainment, quality specifications etc. The solution space of such type of problem is very complex due to presence of various nonlinear constraints and multiple minima. Hybrid Particle swarm optimization and Ant colony o...
Frying affects the nutritional quality of fish detrimentally. In this study, using Catla catla an... more Frying affects the nutritional quality of fish detrimentally. In this study, using Catla catla and mustard oil, experiments were carried out in varying temperatures (140–240 °C), times (5–20 min), and oil amounts (25–100 ml/kg of fish) which established drastic reduction of 44.97% and 99.40% for polyunsaturated fatty acid (PUFA)/saturated fatty acids (SFA) and index of atherogenicity (IA) profile, respectively. Artificial neural network (ANN) was implemented successfully to provide an association between the independent inputs with dependent outputs (values of R2 were 0.99 and 0.98; RMSE were 0.038 and 0.046; and performance were 0.038 and 0.067 for PUFA/SFA and IA, respectively) by exhaustive search of various algorithms and activation functions available in literature. ANN model–based meta-heuristic, stochastic optimization formalisms, genetic algorithm (GA) and particle swarm optimization (PSO), were applied to optimize the combination of cooking parameters for improving the nutr...
Multivariable Predictive Control: Applications in Industry provides engineers with a thorough und... more Multivariable Predictive Control: Applications in Industry provides engineers with a thorough understanding of all practical aspects of multivariate predictive control (MPC) applications, as well as expert guidance on how to derive maximum benefit from those systems. Short on theory and long on step-by-step information, it covers everything plant process engineers and control engineers need to know about building, deploying, and managing MPC applications in their companies.
This paper presents an artificial intelligence based process modeling and optimization strategies... more This paper presents an artificial intelligence based process modeling and optimization strategies, namely artificial neural network – differential evolution (ANN-DE) for modeling and optimization of ultraviolet (UV) transmittance of mono ethylene glycol (MEG) product. UV transmittance is one of the most important quality variable of MEG that has impact on the polyester product quality. UV transmittance measures the presence of undesirable compounds in MEG that absorb light in the ultraviolet region of the spectrum and indirectly measures the purity of MEG product. They are in trace quantities in the ppb ranges and primarily unknown in chemical structure. Thus, they cannot be measured directly. Off-line laboratory method for MEG UV measurement is common practice among the manufacturer, where a sample is withdrawn several times a day from the product stream and analyzed by time consuming laboratory analysis. In the event of a process malfunction or operating under suboptimal condition...
Often it is time-consuming to monitor conditions in modern complex process plants since there is ... more Often it is time-consuming to monitor conditions in modern complex process plants since there is an abundance of instrumentation chat measures thousands of process variables every few seconds. This has caused a "data overload" and due to the lack of appropriate analyses this wealth ot information is underutilized. Operating personnel typically use only a few variables to monitor the plant's performance. Fortunately, groups of variables often move together because more than one variable may be measuring the same driving principle governing [he process behavior. Multivariate statistical methods such as principai component analysis (PCA) are capable of compressing the information into low-dimensional spaces that retain most of the information. Using this method of statistical data compression a multivariate monitoring procedure has been developed to efficiently monitor performance ot large processes and rapidly detect and identify important process changes. A graphical in...
Department of Chemical Engineering, Department of Earth and Environmental Studies, Department of ... more Department of Chemical Engineering, Department of Earth and Environmental Studies, Department of Chemistry, National Institute of Technology Durgapur, Durgapur-713 209, West Bengal, India E-mail: susmita.dutta@che.nitdgp.ac.in <em>Manuscript received online 29 May 2020, revised and accepted 25 August 2020</em> In the present study, Chlorococcum sp., a green alga – collected from coke-oven effluent treatment plant, was used for the sequestration of carbon dioxide at diverse initial CO<sub>2</sub> concentrations (5-30%), pH of the medium (7-11) and inoculum sizes (5-12.5%), respectively. The test strain showed sustainability in growth upto 30% CO<sub>2</sub>. However, the maximum CO<sub>2</sub> sequestration was found to be 79.08±0.89% at 5% CO<sub>2</sub>, pH 9 and 12.5% inoculum size for the test strain. Since phenomenological modeling is difficult to build in such systems, artificial neural network modeling technique was t...
Often it is time consuming to monitor the plant condition in modern complex process industries as... more Often it is time consuming to monitor the plant condition in modern complex process industries as there is abundance of instrumentation that measure thousands of process variables in every few seconds. This has caused a "data overload" and due to the lack of appropriate analyses very little is currently being done to utilize this wealth of information. Fortunately, in process, groups of variables often moves together because more than one variable may be measuring the same driving principle governing the behavior of the process. Multivariate statistical methods such as Principal Component Analysis (PCA) are capable of compressing the information down into low dimensional spaces which retain most of the information. Using this method of statistical data compression a multivariate monitoring procedure has been developed to efficiently monitor the performance of large processes and to rapidly detect and identify important process changes. A graphical interface was developed w...
Journal of Chemical Engineering Research Updates, 2016
A novel method for optimum design of plate type distillation column integrating the equilibrium,... more A novel method for optimum design of plate type distillation column integrating the equilibrium, hydraulic and economic calculations is presented in the present paper. The present study explores the use of non-traditional optimization technique: called hybrid Particle swarm optimization (PSO) and Ant colony optimization (ACO), for design optimization of plate type distillation column from economic point of view. The optimization procedure involves the selection of the major plate geometric parameters such as hole diameters, ratio of downcomer area to tower area, weir height, fractional hole area in tray, tray spacing, tower diameter etc. and minimization of total annual cost is considered as design target subjected to operational constraints like flooding, weeping entrainment, quality specifications etc. The solution space of such type of problem is very complex due to presence of various nonlinear constraints and multiple minima. Hybrid Particle swarm optimization and Ant colony o...
Frying affects the nutritional quality of fish detrimentally. In this study, using Catla catla an... more Frying affects the nutritional quality of fish detrimentally. In this study, using Catla catla and mustard oil, experiments were carried out in varying temperatures (140–240 °C), times (5–20 min), and oil amounts (25–100 ml/kg of fish) which established drastic reduction of 44.97% and 99.40% for polyunsaturated fatty acid (PUFA)/saturated fatty acids (SFA) and index of atherogenicity (IA) profile, respectively. Artificial neural network (ANN) was implemented successfully to provide an association between the independent inputs with dependent outputs (values of R2 were 0.99 and 0.98; RMSE were 0.038 and 0.046; and performance were 0.038 and 0.067 for PUFA/SFA and IA, respectively) by exhaustive search of various algorithms and activation functions available in literature. ANN model–based meta-heuristic, stochastic optimization formalisms, genetic algorithm (GA) and particle swarm optimization (PSO), were applied to optimize the combination of cooking parameters for improving the nutr...
Multivariable Predictive Control: Applications in Industry provides engineers with a thorough und... more Multivariable Predictive Control: Applications in Industry provides engineers with a thorough understanding of all practical aspects of multivariate predictive control (MPC) applications, as well as expert guidance on how to derive maximum benefit from those systems. Short on theory and long on step-by-step information, it covers everything plant process engineers and control engineers need to know about building, deploying, and managing MPC applications in their companies.
This paper presents an artificial intelligence based process modeling and optimization strategies... more This paper presents an artificial intelligence based process modeling and optimization strategies, namely artificial neural network – differential evolution (ANN-DE) for modeling and optimization of ultraviolet (UV) transmittance of mono ethylene glycol (MEG) product. UV transmittance is one of the most important quality variable of MEG that has impact on the polyester product quality. UV transmittance measures the presence of undesirable compounds in MEG that absorb light in the ultraviolet region of the spectrum and indirectly measures the purity of MEG product. They are in trace quantities in the ppb ranges and primarily unknown in chemical structure. Thus, they cannot be measured directly. Off-line laboratory method for MEG UV measurement is common practice among the manufacturer, where a sample is withdrawn several times a day from the product stream and analyzed by time consuming laboratory analysis. In the event of a process malfunction or operating under suboptimal condition...
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