The Experts below are selected from a list of 1842 Experts worldwide ranked by ideXlab platform

Simon Halstead - One of the best experts on this subject based on the ideXlab platform.

  • flowsheet simulation of cobalt nickel separation by solvent extraction with trihexyl tetradecyl phosphonium chloride
    Industrial & Engineering Chemistry Research, 2018
    Co-Authors: Hongyan Chen, Megan Jobson, Andrew J Masters, Maria Gonzalezmiquel, Simon Halstead
    Abstract:

    Solvent extraction is widely used for selective separation of metals from solutions. Ionic liquids are showing potential for this purpose. To date, little research has focused on design, operation, and optimization of solvent extraction Flowsheets using ionic liquids. This work addresses this gap in knowledge, aiming to support development, design, and optimization of such solvent extraction processes. In this work, a general flowsheet simulation model is developed and applied for the case of cobalt–nickel separation using ionic liquid trihexyl(tetradecyl)phosphonium chloride ([P66614]Cl). All components are treated as distributing between the two phases and are modeled using distribution coefficient models derived from published experimental data and ab initio computational results. The rate of mass transfer between the two phases is calculated using a mass transfer model. Simulation results are shown to be generally in good agreement with published experimental results.

  • Flowsheet Simulation of Cobalt–Nickel Separation by Solvent Extraction with Trihexyl(tetradecyl)phosphonium Chloride
    2018
    Co-Authors: Hongyan Chen, Megan Jobson, Andrew J Masters, Maria Gonzalez-miquel, Simon Halstead
    Abstract:

    Solvent extraction is widely used for selective separation of metals from solutions. Ionic liquids are showing potential for this purpose. To date, little research has focused on design, operation, and optimization of solvent extraction Flowsheets using ionic liquids. This work addresses this gap in knowledge, aiming to support development, design, and optimization of such solvent extraction processes. In this work, a general flowsheet simulation model is developed and applied for the case of cobalt–nickel separation using ionic liquid trihexyl­(tetradecyl)­phosphonium chloride ([P66614]­Cl). All components are treated as distributing between the two phases and are modeled using distribution coefficient models derived from published experimental data and ab initio computational results. The rate of mass transfer between the two phases is calculated using a mass transfer model. Simulation results are shown to be generally in good agreement with published experimental results

Diego Barletta - One of the best experts on this subject based on the ideXlab platform.

  • Process Pathways Optimization for a Lignocellulosic Biorefinery Producing Levulinic Acid, Succinic Acid, and Ethanol
    Industrial & Engineering Chemistry Research, 2016
    Co-Authors: Aristide Giuliano, Massimo Poletto, Raffaele Cerulli, Giancarlo Raiconi, Diego Barletta
    Abstract:

    Process flowsheet optimization of a lignocellulosic biorefinery coproducing levulinic acid, succinic acid, and ethanol was performed to maximize an economic objective function (either the net present value, NPV, or the internal rate of return, IRR, alternatively) by means of mathematical programming methods. Most promising alternative industrial processes were selected to build the superstructure of the biorefinery. A discretization method was applied to obtain a MILP approximation of the resulting MINLP master problem. NPV maximization for a biorefinery with hardwood feedstock provided with an optimal flowsheet with all three products. Larger biomass allocation values resulted for levulinic acid and succinic acid (more than 40% each). A sensitivity analysis highlighted that the optimal flowsheet was significantly dependent on the economic scenario (chemical products selling price, discount rate) and on the plant scale. Finally, alternative maximization of NPV and of IRR provided different optimal Flowsheets and biomass allocation to chemical products

  • Process Pathways Optimization for a Lignocellulosic Biorefinery Producing Levulinic Acid, Succinic Acid, and Ethanol
    2016
    Co-Authors: Aristide Giuliano, Massimo Poletto, Raffaele Cerulli, Giancarlo Raiconi, Diego Barletta
    Abstract:

    Process flowsheet optimization of a lignocellulosic biorefinery coproducing levulinic acid, succinic acid, and ethanol was performed to maximize an economic objective function (either the net present value, NPV, or the internal rate of return, IRR, alternatively) by means of mathematical programming methods. Most promising alternative industrial processes were selected to build the superstructure of the biorefinery. A discretization method was applied to obtain a MILP approximation of the resulting MINLP master problem. NPV maximization for a biorefinery with hardwood feedstock provided with an optimal flowsheet with all three products. Larger biomass allocation values resulted for levulinic acid and succinic acid (more than 40% each). A sensitivity analysis highlighted that the optimal flowsheet was significantly dependent on the economic scenario (chemical products selling price, discount rate) and on the plant scale. Finally, alternative maximization of NPV and of IRR provided different optimal Flowsheets and biomass allocation to chemical products

Hongyan Chen - One of the best experts on this subject based on the ideXlab platform.

  • flowsheet simulation of cobalt nickel separation by solvent extraction with trihexyl tetradecyl phosphonium chloride
    Industrial & Engineering Chemistry Research, 2018
    Co-Authors: Hongyan Chen, Megan Jobson, Andrew J Masters, Maria Gonzalezmiquel, Simon Halstead
    Abstract:

    Solvent extraction is widely used for selective separation of metals from solutions. Ionic liquids are showing potential for this purpose. To date, little research has focused on design, operation, and optimization of solvent extraction Flowsheets using ionic liquids. This work addresses this gap in knowledge, aiming to support development, design, and optimization of such solvent extraction processes. In this work, a general flowsheet simulation model is developed and applied for the case of cobalt–nickel separation using ionic liquid trihexyl(tetradecyl)phosphonium chloride ([P66614]Cl). All components are treated as distributing between the two phases and are modeled using distribution coefficient models derived from published experimental data and ab initio computational results. The rate of mass transfer between the two phases is calculated using a mass transfer model. Simulation results are shown to be generally in good agreement with published experimental results.

  • Flowsheet Simulation of Cobalt–Nickel Separation by Solvent Extraction with Trihexyl(tetradecyl)phosphonium Chloride
    2018
    Co-Authors: Hongyan Chen, Megan Jobson, Andrew J Masters, Maria Gonzalez-miquel, Simon Halstead
    Abstract:

    Solvent extraction is widely used for selective separation of metals from solutions. Ionic liquids are showing potential for this purpose. To date, little research has focused on design, operation, and optimization of solvent extraction Flowsheets using ionic liquids. This work addresses this gap in knowledge, aiming to support development, design, and optimization of such solvent extraction processes. In this work, a general flowsheet simulation model is developed and applied for the case of cobalt–nickel separation using ionic liquid trihexyl­(tetradecyl)­phosphonium chloride ([P66614]­Cl). All components are treated as distributing between the two phases and are modeled using distribution coefficient models derived from published experimental data and ab initio computational results. The rate of mass transfer between the two phases is calculated using a mass transfer model. Simulation results are shown to be generally in good agreement with published experimental results

Paul I Barton - One of the best experts on this subject based on the ideXlab platform.

  • reliable flash calculations part 2 process flowsheeting with nonsmooth models and generalized derivatives
    Industrial & Engineering Chemistry Research, 2017
    Co-Authors: Harry A J Watson, Matias Vikse, Truls Gundersen, Paul I Barton
    Abstract:

    This article presents new methods for robustly simulating process Flowsheets containing nondifferentiable models, using recent advances in exact sensitivity analysis for nonsmooth functions. Among other benefits, this allows flowsheeting problems to be equipped with newly developed nonsmooth inside-out algorithms for nonideal vapor–liquid equilibrium calculations that converge reliability, even when the phase regime at the results of these calculations is unknown a priori. Furthermore, process models for inherently nonsmooth unit operations may be seamlessly integrated into process Flowsheets, so long as computationally relevant generalized derivative information is computed correctly and communicated to the flowsheet convergence algorithm. These techniques may be used in either sequential-modular simulations or simulations in which the most challenging modules are solved using tailored external procedures, while the remaining flowsheet equations are solved simultaneously. This new nonsmooth flowsheeting ...

  • Reliable Flash Calculations: Part 2. Process Flowsheeting with Nonsmooth Models and Generalized Derivatives
    2017
    Co-Authors: Harry A. J. Watson, Matias Vikse, Truls Gundersen, Paul I Barton
    Abstract:

    This article presents new methods for robustly simulating process Flowsheets containing nondifferentiable models, using recent advances in exact sensitivity analysis for nonsmooth functions. Among other benefits, this allows flowsheeting problems to be equipped with newly developed nonsmooth inside-out algorithms for nonideal vapor–liquid equilibrium calculations that converge reliability, even when the phase regime at the results of these calculations is unknown a priori. Furthermore, process models for inherently nonsmooth unit operations may be seamlessly integrated into process Flowsheets, so long as computationally relevant generalized derivative information is computed correctly and communicated to the flowsheet convergence algorithm. These techniques may be used in either sequential-modular simulations or simulations in which the most challenging modules are solved using tailored external procedures, while the remaining flowsheet equations are solved simultaneously. This new nonsmooth flowsheeting strategy is capable of solving process simulation problems involving nonsmooth models more reliably and efficiently than the algorithms implemented in existing software, and, in some cases, allows for the solution of problems that are beyond the capabilities of classical approaches. As examples of the latter, it will be shown that the nonsmooth approach is particularly well-suited for highly accurate simulation of natural gas liquefaction processes, in which many nonsmooth modeling elements are present in combination with nonideal thermodynamic behavior and complex heat-transfer considerations

Aristide Giuliano - One of the best experts on this subject based on the ideXlab platform.

  • Process Pathways Optimization for a Lignocellulosic Biorefinery Producing Levulinic Acid, Succinic Acid, and Ethanol
    Industrial & Engineering Chemistry Research, 2016
    Co-Authors: Aristide Giuliano, Massimo Poletto, Raffaele Cerulli, Giancarlo Raiconi, Diego Barletta
    Abstract:

    Process flowsheet optimization of a lignocellulosic biorefinery coproducing levulinic acid, succinic acid, and ethanol was performed to maximize an economic objective function (either the net present value, NPV, or the internal rate of return, IRR, alternatively) by means of mathematical programming methods. Most promising alternative industrial processes were selected to build the superstructure of the biorefinery. A discretization method was applied to obtain a MILP approximation of the resulting MINLP master problem. NPV maximization for a biorefinery with hardwood feedstock provided with an optimal flowsheet with all three products. Larger biomass allocation values resulted for levulinic acid and succinic acid (more than 40% each). A sensitivity analysis highlighted that the optimal flowsheet was significantly dependent on the economic scenario (chemical products selling price, discount rate) and on the plant scale. Finally, alternative maximization of NPV and of IRR provided different optimal Flowsheets and biomass allocation to chemical products

  • Process Pathways Optimization for a Lignocellulosic Biorefinery Producing Levulinic Acid, Succinic Acid, and Ethanol
    2016
    Co-Authors: Aristide Giuliano, Massimo Poletto, Raffaele Cerulli, Giancarlo Raiconi, Diego Barletta
    Abstract:

    Process flowsheet optimization of a lignocellulosic biorefinery coproducing levulinic acid, succinic acid, and ethanol was performed to maximize an economic objective function (either the net present value, NPV, or the internal rate of return, IRR, alternatively) by means of mathematical programming methods. Most promising alternative industrial processes were selected to build the superstructure of the biorefinery. A discretization method was applied to obtain a MILP approximation of the resulting MINLP master problem. NPV maximization for a biorefinery with hardwood feedstock provided with an optimal flowsheet with all three products. Larger biomass allocation values resulted for levulinic acid and succinic acid (more than 40% each). A sensitivity analysis highlighted that the optimal flowsheet was significantly dependent on the economic scenario (chemical products selling price, discount rate) and on the plant scale. Finally, alternative maximization of NPV and of IRR provided different optimal Flowsheets and biomass allocation to chemical products