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您的检索式：作者名="Norbert Asprion"
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| 1 | Dividing wall columns : Fendamentais and recent advance 显示文摘 | Norbert Asprion Gerd Kaibel | 2010 | Chemical Enginerring and Processing: Process Intensification2010，49，： | 1 |
| 2 | Using machine learning models to explore the solution space of large nonlinear systems underlying flowsheet simulations with constraints显示文摘Flowsheet simulations of chemical processes on an industrial scale require the solution of large systems of nonlinear equations,so that solvability becomes a practical issue.Additional constraints from technical,economic,environmental,and safety considerations may further limit the feasible solution space beyond the convergence requirement.A priori,the design variable domains for which a simulation converges and fulfills the imposed constraints are usually unknown and it can become very time-consuming to distinguish feasible from infeasible design variable choices by simply running the simulation for each choice.To support the exploration of the design variable space for such scenarios,an adaptive sampling technique based on machine learning models has recently been proposed.However,that approach only considers the exploration of the convergent domain and ignores additional constraints.In this paper,we present an improvement which particularly takes the fulfillment of constraints into account.We successfully apply the proposed algorithm to a toy example in up to 20 dimensions and to an industrially relevant flowsheet simulation. | Patrick Otto Ludl Raoul Heese Johannes Höller Norbert Asprion Michael Bortz | 2022 | Frontiers of Chemical Science and Engineering2022，16，2： | 1 |
| 3 | Decision support for the development,simulation and optimization of dynamic process models显示文摘Simulation is besides experimentation the major method for designing,analyzing and optimizing chemical processes.The ability of simulations to reflect real process behavior strongly depends on model quality.Validation and adaption of process models are usually based on available plant data.Using such a model in various simulation and optimization studies can support the process designer in his task.Beneath steady state models there is also a growing demand for dynamic models either to adapt faster to changing conditions or to reflect batch operation.In this contribution challenges of extending an existing decision support framework for steady state models to dynamic models will be discussed and the resulting opportunities will be demonstrated for distillation and reactor examples. | Norbert Asprion Roger Böttcher Jan Schwientek Johannes Höller Patrick Schwartz Charlie Vanaret Michael Bortz | 2022 | Frontiers of Chemical Science and Engineering2022，16，2： | 1 |
| 4 | Dividing wall columns: Fundamentals and recent advances显示文摘 | Asprion Norbert Kaibel Gerd | 2010 | Chemical Engineering and Processing2010，49，： | 1 |
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