Norbert Asprion

发表

Minimizing the Impact of Uncertain Model Parameters on Process Design

Michael Bortz, Jan Schwientek, Karl-Heinz Küfer, 2015 .

A Two-Phase Approach for Model-Based Design of Experiments Applied in Chemical Engineering

Charlie Vanaret, Jan Schwientek, Norbert Asprion, 2019, OR.

Conceptual Design Based on Superstructure Optimization in GAMS with Accurate Thermodynamic Models

Norbert Asprion, Jens-Uwe Repke, Erik Esche, 2020 .

From Single Process Simulation and Optimization to Decision Making Based on a Multitude of Solutions

Jan Schwientek, Norbert Asprion, Michael Bortz, 2019 .

INES – An Interface Between Experiments and Simulation to Support the Development of Robust Process Designs

Michael Bortz, Jakob Burger, Hans Hasse, 2015 .

Pareto-Navigation in Chemical Engineering

Richard Welke, Michael Bortz, Jakob Burger, 2011 .

Modeling, Simulation, and Optimization 4.0 for a Distillation Column

Norbert Asprion, N. Asprion, 2020 .

A novel approach for infeasible path optimization of distillation-based flowsheets

Jakob Burger, Hans Hasse, Norbert Asprion, 2020 .

Graybox Models - New Opportunities for the Optimization of Entire Processes

Michael Bortz, Jan Schwientek, Norbert Asprion, 2017 .

Gray-Box Modeling for the Optimization of Chemical Processes

Michael Bortz, Jan Schwientek, Norbert Asprion, 2018, Chemie Ingenieur Technik.

Parameter Estimation Strategies in Thermodynamics

Michael Bortz, Norbert Asprion, Sergej Blagov, 2019, ChemEngineering.

Model-based Design of Experiments Using a Flowsheet-Simulator

Michael Bortz, Norbert Asprion, Roger Böttcher, 2018 .

Work Flow in Process Development for Energy Efficient Processes

Norbert Asprion, Bernd Rumpf, Achim Gritsch, 2010 .

Two-phase approaches to optimal model-based design of experiments: how many experiments and which ones?

Charlie Vanaret, Jan Schwientek, Norbert Asprion, 2020, Comput. Chem. Eng..

Decision Support by Multicriteria Optimization in Process Development: An Integrated Approach for Robust Planning and Design of Plant Experiments

Michael Bortz, Jan Schwientek, Jakob Burger, 2015 .

Simulation and Multi‐criteria Optimization under Uncertain Model Parameters of a Cumene Process

Michael Bortz, Jan Schwientek, Jakob Burger, 2017 .

A Pareto‐Based Approach to Optimal Design of Experiments

Michael Bortz, Jakob Burger, E. von Harbou, 2016 .

Decision Support for Process Development in the Chemical Industry

Richard Welke, Michael Bortz, Jakob Burger, 2011 .

Multi‐Objective Optimization and Decision Support in Process Engineering – Implementation and Application

Richard Welke, Michael Bortz, Jakob Burger, 2014 .

Energy Management in Chemical Industry

Norbert Asprion, Bernd Rumpf, Stephanie Mollner, 2010 .

Multi-criteria optimization in chemical process design and decision support by navigation on Pareto sets

Michael Bortz, Hans Hasse, Norbert Asprion, 2014, Comput. Chem. Eng..

Decision Support in an Interface between Experiments and Simulation

Michael Bortz, Jan Schwientek, Hans Hasse, 2014 .

Optimized data exploration applied to the simulation of a chemical process

Michael Bortz, Norbert Asprion, Raoul Heese, 2019, Comput. Chem. Eng..

Optimal design of mini‐plant experiments: How to estimate model parameters reliably?

Jan Schwientek, Norbert Asprion, Michael Bortz, 2020 .

Experimental Design in a Multicriteria Optimization Context: An Adaptive Scheme

Michael Bortz, Jan Schwientek, O. Hirth, 2018 .

INES – Interface between Experiments and Simulation

Richard Welke, Michael Bortz, Jakob Burger, 2014 .

Education in Process Systems Engineering: Why it matters more than ever and how it can be structured

Dimitrios I. Gerogiorgis, Ignacio E. Grossmann, Sebastian Engell, 2019, Comput. Chem. Eng..

Process Modeling, Simulation and Optimization: From Single Solutions to a Multitude of Solutions to Support Decision Making

Michael Bortz, Norbert Asprion, M. Bortz, 2018, Chemie Ingenieur Technik.

Increasing the Reliability of Parameter Estimates by Iterative Model-based Design of Experiments Using a Flowsheet-Simulator

Jan Schwientek, Norbert Asprion, Michael Bortz, 2019 .

Challenges in process optimization for new feedstocks and energy sources

Michael Baldea, Christodoulos A. Floudas, Dominique Bonvin, 2018, Comput. Chem. Eng..

A Modular Approach for Surrogate Modeling of Flowsheets

Michael Bortz, Norbert Asprion, Tobias Seidel, 2021, Chemie Ingenieur Technik.

Optimal Design of Laboratory and Pilot-plant Experiments using Multiobjective Optimization

Michael Bortz, Jakob Burger, Norbert Asprion, 2017 .

Efficient Approach for Calculating Pareto Boundaries under Uncertainties in Chemical Process Design

Michael Bortz, Jan Schwientek, Jakob Burger, 2017 .

Surface Tension Models for Aqueous Amine Blends

Norbert Asprion, N. Asprion, 2005 .

Simple Perturbation Scheme to Consider Uncertainty in Equations of State for the Use in Process Simulation

Michael Bortz, Jakob Burger, Norbert Asprion, 2017 .

Simulation of mass transfer in reactive absorption

Norbert Asprion, N. Asprion, 2006 .

Selection and Pilot Plant Tests of New Absorbents for Post-Combustion Carbon Dioxide Capture

Norbert Asprion, Iven Clausen, Ralf Notz, 2007 .

Integration of a chemical process model in a power plant modelling tool for the simulation of an amine based CO2 scrubber

Hans Hasse, Norbert Asprion, Günter Scheffknecht, 2009 .

Pilot plant study of four new solvents for post combustion carbon dioxide capture by reactive absorption and comparison to MEA

Hans Hasse, Norbert Asprion, Georg Sieder, 2012 .

Nonequilibrium rate-based simulation of reactive systems : Simulation model, heat transfer, and influence of film discretization

Norbert Asprion, N. Asprion, 2006 .

Implementation and Application of Model-Based Design of Experiments in a Flowsheet Simulator

Charlie Vanaret, Michael Bortz, Jan Schwientek, 2020, Journal of Chemical & Engineering Data.

Pilot plant experimental studies of post combustion CO2 capture by reactive absorption with MEA and new solvents

Hans Hasse, Norbert Asprion, Georg Sieder, 2009 .