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This book celebrates the life, work and influence of Professor Roger W.H. Sargent of Imperial College London. It does so through a range of original contributions that span the wide academic and industry interests of Professor Sargent. Roger Sargent passed away in late 2018, but his legacy lives on through his enormous academic tree, which traces to the early 1960s. That huge body of work has also had significant impacts on industrial practices. Roger was regarded as “the father of Process Systems Engineering (PSE)”. This area of Chemical Engineering continues to influence the modelling, design, control, optimization and integrated performance of industrial and related processes. This book highlights some of those impacts and the ongoing importance of PSE in helping to solve some of the grand challenges of our time.

Technology: general issues --- input-output model --- fuzzy optimization --- process synthesis --- preliminary stage design --- process systems engineering --- energy systems engineering --- process design --- optimization --- nonlinear programming --- process monitoring --- nonlinear principal component analysis --- parallel neural networks --- autoassociative neural network --- big data --- process scheduling --- process system engineering --- mixed-integer programming --- scheduling --- process control --- integration --- distribution --- planning --- oil supply chain --- robust optimization --- uncertainty --- bio-jet diesel --- co-hydrotreating --- hydrodesulphurisation --- hydrodeoxigenation --- reactive distillation --- coproduction --- Lurgi syngas --- cryogenic separation --- methanol synthesis --- LNG --- symmetry --- quadratic optimization --- quadratically-constrained quadratic optimization --- process modeling --- mathematical programming --- MINLP --- generalized disjunctive programming --- design --- higher education --- curricula --- visualization --- n/a

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The book presents a series of articles devoted to modeling, simulation, and optimization of processes, mainly chemical. General methods for process modeling and numerical simulation are described with flowsheeting. Population balances are addressed in detail with application to crystal production; energy saving is frequently optimized, including exergy analysis. The coupling between process simulation and computational fluid dynamics is studied for air classification and bubble columns. Pressure swing adsorption, reactive distillation, and nanofiltration are explained in general and applied to particular processes. The synthesis of carbon dots is solved by the design of experiments method. A safety study addresses the consequences of gas explosion.

History of engineering & technology --- volume-based population balance model with fines dissolution --- quadrature method of moments --- orthogonal polynomials --- population balance equation --- dynamic flowsheet simulation --- transformation matrix --- process modelling --- agglomeration --- milling --- solids --- multidimensional distributed parameters --- nanofiltration --- total volume membrane charge density --- modeling DSPM model --- ceramic membrane --- ionic strength --- heavy oil reservoir --- in-situ combustion --- oil recovery --- numerical simulation --- pressure swing adsorption (PSA) --- carbon molecular sieve (CMS) --- adsorption --- nitrogen --- nitrogen generator --- tapioca --- response surface methodology --- artificial neural network --- carbon dots --- hydrothermal --- photoluminescence --- organic --- butyric anhydride --- single reactive distillation column --- internal material circulation --- dynamic control --- modeling --- optimization --- ultrafiltration --- membrane module --- cross-flow --- protein solution --- combination system --- flame acceleration simulator (FLACS) --- pipe length --- ignition position --- fault diagnosis --- distillation --- inverse problem --- parameter estimation --- turbo air classifier --- process parameters --- particle trajectory --- relative classification sharpness index --- ammonia production --- numerical modelling --- steam methane reforming --- simulation --- Formox Perstorp --- formalin --- fixed catalytic bed reactor --- silver catalyst --- metal oxide catalyst --- exergy --- advanced exergy analysis --- organic Rankine cycle --- regenerative cycle --- reactive distillation --- steady state simulation --- Inside-Out method --- CFD --- bubble plume --- oscillation and offset characteristic --- bubble --- gas-liquid flow --- process steam drive --- software linking --- heat pump --- propane-propylene separation --- steam network --- pressure and heat losses --- energy efficiency --- co-processing --- bio-oil --- vacuum gas oil --- LCA --- Eco-indicator 99 --- FCC --- volume-based population balance model with fines dissolution --- quadrature method of moments --- orthogonal polynomials --- population balance equation --- dynamic flowsheet simulation --- transformation matrix --- process modelling --- agglomeration --- milling --- solids --- multidimensional distributed parameters --- nanofiltration --- total volume membrane charge density --- modeling DSPM model --- ceramic membrane --- ionic strength --- heavy oil reservoir --- in-situ combustion --- oil recovery --- numerical simulation --- pressure swing adsorption (PSA) --- carbon molecular sieve (CMS) --- adsorption --- nitrogen --- nitrogen generator --- tapioca --- response surface methodology --- artificial neural network --- carbon dots --- hydrothermal --- photoluminescence --- organic --- butyric anhydride --- single reactive distillation column --- internal material circulation --- dynamic control --- modeling --- optimization --- ultrafiltration --- membrane module --- cross-flow --- protein solution --- combination system --- flame acceleration simulator (FLACS) --- pipe length --- ignition position --- fault diagnosis --- distillation --- inverse problem --- parameter estimation --- turbo air classifier --- process parameters --- particle trajectory --- relative classification sharpness index --- ammonia production --- numerical modelling --- steam methane reforming --- simulation --- Formox Perstorp --- formalin --- fixed catalytic bed reactor --- silver catalyst --- metal oxide catalyst --- exergy --- advanced exergy analysis --- organic Rankine cycle --- regenerative cycle --- reactive distillation --- steady state simulation --- Inside-Out method --- CFD --- bubble plume --- oscillation and offset characteristic --- bubble --- gas-liquid flow --- process steam drive --- software linking --- heat pump --- propane-propylene separation --- steam network --- pressure and heat losses --- energy efficiency --- co-processing --- bio-oil --- vacuum gas oil --- LCA --- Eco-indicator 99 --- FCC

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

The book presents a series of articles devoted to modeling, simulation, and optimization of processes, mainly chemical. General methods for process modeling and numerical simulation are described with flowsheeting. Population balances are addressed in detail with application to crystal production; energy saving is frequently optimized, including exergy analysis. The coupling between process simulation and computational fluid dynamics is studied for air classification and bubble columns. Pressure swing adsorption, reactive distillation, and nanofiltration are explained in general and applied to particular processes. The synthesis of carbon dots is solved by the design of experiments method. A safety study addresses the consequences of gas explosion.

volume-based population balance model with fines dissolution --- quadrature method of moments --- orthogonal polynomials --- population balance equation --- dynamic flowsheet simulation --- transformation matrix --- process modelling --- agglomeration --- milling --- solids --- multidimensional distributed parameters --- nanofiltration --- total volume membrane charge density --- modeling DSPM model --- ceramic membrane --- ionic strength --- heavy oil reservoir --- in-situ combustion --- oil recovery --- numerical simulation --- pressure swing adsorption (PSA) --- carbon molecular sieve (CMS) --- adsorption --- nitrogen --- nitrogen generator --- tapioca --- response surface methodology --- artificial neural network --- carbon dots --- hydrothermal --- photoluminescence --- organic --- butyric anhydride --- single reactive distillation column --- internal material circulation --- dynamic control --- modeling --- optimization --- ultrafiltration --- membrane module --- cross-flow --- protein solution --- combination system --- flame acceleration simulator (FLACS) --- pipe length --- ignition position --- fault diagnosis --- distillation --- inverse problem --- parameter estimation --- turbo air classifier --- process parameters --- particle trajectory --- relative classification sharpness index --- ammonia production --- numerical modelling --- steam methane reforming --- simulation --- Formox Perstorp --- formalin --- fixed catalytic bed reactor --- silver catalyst --- metal oxide catalyst --- exergy --- advanced exergy analysis --- organic Rankine cycle --- regenerative cycle --- reactive distillation --- steady state simulation --- Inside–Out method --- CFD --- bubble plume --- oscillation and offset characteristic --- bubble --- gas–liquid flow --- process steam drive --- software linking --- heat pump --- propane–propylene separation --- steam network --- pressure and heat losses --- energy efficiency --- n/a --- co-processing --- bio-oil --- vacuum gas oil --- LCA --- Eco-indicator 99 --- FCC --- Inside-Out method --- gas-liquid flow --- propane-propylene separation