Johannes Jäschke

Associate Professor

Department of Chemical Engineering

johannes.jaschke@ntnu.no +47 73593691

Kjemi 4, 4.228, Gløshaugen, Sem Sælands vei 6

Research interests

My research interests are within the field of process systems engineering, with a strong focus on modelling, numerical optimization and control. By linking methods from optimization and control theory, my goal is to systematically develop practically applicable solutions for operating process systems in a safe, reliable, and economical way.

Topics in this area include

Optimization-driven methods for optimal operation and control strategies
Real-time optimization and predictive control
Quantitative data methods for optimization and control of process systems

Current research projects

SensPATH -- Sensitivity-based Path-following for Robust Economic Model Predictive Control, FRINATEK Project funded by the Norwegian Research Council
AutoPRO -- Digitalization for Autonomous Prognosis and Production Optimization in Offshore Production Systems, Norway-China collaboration project funded by the Norwegian research councl and MOST
Drifting Twins, Funded within the SUBPRO center for research-based innovation SUBPRO SFI
Experimental validation of operational strategies for extending the remaining useful life of subsea processing systems, Funded within the SUBPRO center for research-based innovation SUBPRO SFI
Model-based optimization for large-scale process systems, Funded within the Center for Environmentally Friendly Energy HighEFF (with SINTEF)

Awards

Member of the Outstanding Academic Fellows Program at NTNU 2014-2018

Other

Member of the board of the Department of Chemical engineering at NTNU

Courses

Scientific, academic and artistic work

Displaying a selection of activities. See all publications in the database

2021

Jahren, Jan Henrik; Assumpcao Matias, Jose Otavio; Jaeschke, Johannes. (2021) Data-driven modelling of choke valve erosion using data simulated from a first principles model. Elsevier. 2021. ISBN 9780323885065. Computer-aided chemical engineering.
Liu, Xingheng; Assumpcao Matias, Jose Otavio; Jäschke, Johannes; Vatn, Jørn. (2021) Gibbs sampler for noisy Transformed Gamma process: Inference and remaining useful life estimation. Reliability Engineering & System Safety. vol. 217 (108084).
Mdoe, Zawadi Ntengua; Krishnamoorthy, Dinesh; Jäschke, Johannes. (2021) Adaptive Horizon Multistage Nonlinear Model Predictive Control. American Control Conference (ACC).
Rizwan, Md; Alstad, Vidar; Jäschke, Johannes. (2021) Design considerations for industrial water electrolyzer plants. International Journal of Hydrogen Energy. vol. 46.
Rúa, Jairo; Verheyleweghen, Adriaen; Jäschke, Johannes; Nord, Lars O.. (2021) Optimal scheduling of flexible thermal power plants with lifetime enhancement under uncertainty. Applied Thermal Engineering. vol. 191.
Sales, Leonardo de Pádua Agripa; Jäschke, Johannes; Stanko, Milan. (2021) Early field planning using optimisation and considering uncertainties - Study case: Offshore deepwater field in Brazil. Journal of Petroleum Science and Engineering. vol. 207.
Thombre, Mandar Nitin; (Joyce) Yu, Zhou; Jäschke, Johannes; Biegler, Lorenz T.. (2021) Sensitivity-Assisted multistage nonlinear model predictive control: Robustness, stability and computational efficiency. Computers and Chemical Engineering. vol. 148.
Turan, Evren Mert; Jäschke, Johannes. (2021) Classification of undesirable events in oil well operation. 2021 23rd International Conference on Process Control.
Turan, Evren Mert; Jäschke, Johannes. (2021) Multiple shooting for training neural differential equations on time series. IEEE Control Systems Letters.

2020

Assumpcao Matias, Jose Otavio; Jäschke, Johannes. (2020) Online Model Maintenance in Real-time Optimization Methods. Computers and Chemical Engineering. vol. 145.
Assumpcao Matias, Jose Otavio; Ågotnes, Joachim Alexander Hauge; Jäschke, Johannes. (2020) Health-aware advanced control applied to a gas-lifted oil well network. IFAC-PapersOnLine. vol. 53 (3).
Bikmukhametov, Timur; Jäschke, Johannes. (2020) Combining machine learning and process engineering physics towards enhanced accuracy and explainability of data-driven models. Computers and Chemical Engineering. vol. 138.
Krishnamoorthy, Dinesh; Biegler, Lorenz T.; Jäschke, Johannes. (2020) Adaptive horizon economic nonlinear model predictive control. Journal of Process Control. vol. 92.
Pérez-Piñeiro, David; Nikolakopoulou, Anastasia; Jäschke, Johannes; Braatz, Richard D.. (2020) Self-Optimizing Control of a Continuous-Flow Pharmaceutical Manufacturing Plant. IFAC-PapersOnLine. vol. 53 (2).
Suwartadi, I Dewa Putu Eka; Kungurtsev, Vyacheslav; Jäschke, Johannes. (2020) Fast sensitivity-based economic model predictive control for degenerate systems. Journal of Process Control. vol. 88.
Thombre, Mandar; Mdoe, Zawadi Ntengua; Jäschke, Johannes. (2020) Data-Driven Robust Optimal Operation of Thermal Energy Storage in Industrial Clusters. Processes. vol. 8 (2).
Thombre, Mandar; Prakash, Sandeep; Knudsen, Brage Rugstad; Jäschke, Johannes. (2020) Optimizing the Capacity of Thermal Energy Storage in Industrial Clusters. Proceedings of the 30th European Symposium on Computer Aided Process Engineering.

2019

Assumpcao Matias, Jose Otavio; Jäschke, Johannes. (2019) Online Model Maintenance via Output Modifier Adaptation. Industrial & Engineering Chemistry Research. vol. 58 (30).
Bikmukhametov, Timur; Jäschke, Johannes. (2019) First principles and machine learning virtual flow metering: A literature review. Journal of Petroleum Science and Engineering. vol. 184:106487.
Bikmukhametov, Timur; Jäschke, Johannes. (2019) Oil Production Monitoring using Gradient Boosting Machine Learning Algorithm. IFAC-PapersOnLine. vol. 52 (1).
Das, Tamal; Heggheim, Sindre Johan; Dudek, Marcin; Verheyleweghen, Adriaen; Jäschke, Johannes. (2019) Optimal Operation of a Subsea Separation System Including a Coalescence Based Gravity Separator Model and a Produced Water Treatment Section. Industrial & Engineering Chemistry Research. vol. 58 (10).
Das, Tamal; Jäschke, Johannes. (2019) Simplified First-Principles Model of a Compact Flotation Unit for Use in Optimization and Control. Industrial & Engineering Chemistry Research. vol. 58 (3).
Dias, Ana Carolina Spindola Rangel; Soares, Felipo Rojas; Jäschke, Johannes; de Souza, Mauricio Bezerra; Pinto, Jose Carlos. (2019) Extracting Valuable Information from Big Data for Machine Learning Control: An Application for a Gas Lift Process. Processes. vol. 7 (5).
Jäschke, Johannes; Thombre, Mandar. (2019) A Data-driven approach for robust operation of energy storage systems. HighEFF Annual Consortium Meeting 2019 . SINTEF Energi; Trondheim. 2019-05-08 - 2019-05-09.
Matias, José O.A.; Jäschke, Johannes. (2019) Using a neural network for estimating plant gradients in real-time optimization with modifier adaptation. IFAC-PapersOnLine. vol. 52 (1).
Thombre, Mandar; Krishnamoorthy, Dinesh; Jäschke, Johannes. (2019) Data-driven Online Adaptation of the Scenario-tree in Multistage Model Predictive Control. IFAC-PapersOnLine. vol. 52 (1).
Verheyleweghen, Adriaen; Srivastav, Himanshu; Barros, Anne; Jäschke, Johannes. (2019) Combined Maintenance Scheduling and Production Optimization. Proceedings of the 29th European Safety and Reliability Conference(ESREL). 22 – 26 September 2019 Hannover, Germany.

2018

Assumpcao Matias, Jose Otavio; Le Roux, Galo AC; Jaeschke, Johannes. (2018) Modifier adaptation for real-time optimization of a gas lifted well network. IFAC-PapersOnLine. vol. 51 (8).
Bikmukhametov, Timur; Jäschke, Johannes. (2018) Analysis of Influence of Sensor Degradation on Flowrate Estimates. 21st Nordic Process Control Workshop ; Åbo. 2018-01-18 - 2018-01-19.
Bikmukhametov, Timur; Stanko, Milan; Jäschke, Johannes. (2018) Statistical Analysis of Effect of Sensor Degradation and Heat Transfer Modeling on Multiphase Flowrate Estimates from a Virtual Flow Meter. SPE Asia Pacific Oil & Gas Conference and Exhibition, 2018.
Bikmukhametov, Timur; Stanko, Milan; Jäschke, Johannes. (2018) Statistical Analysis of Effect of Sensor Degradation and Heat Transfer Modeling on Multiphase Flowrate Estimates from a Virtual Flow Meter. SPE Asia Pacific Oil & Gas Conference and Exhibition . Society of Petroleum Engineers; Brisbane. 2018-10-23 - 2018-10-25.
Das, Tamal; Jaeschke, Johannes. (2018) A control oriented model for inline deoiling hydrocyclone. Nordic process control workshop 2018 ; 2018-01-18 - 2018-01-19.
Das, Tamal; Jäschke, Johannes. (2018) Modeling and control of an inline deoiling hydrocyclone *. IFAC-PapersOnLine. vol. 51 (8).
Krishnamoorthy, Dinesh; Suwartadi, Eka; Foss, Bjarne Anton; Skogestad, Sigurd; Jäschke, Johannes. (2018) Improving Scenario Decomposition for Multistage MPC using a Sensitivity-based Path-following Algorithm. Proceedings of the IEEE Conference on Decision & Control, including the Symposium on Adaptive Processes.
Krishnamoorthy, Dinesh; Suwartadi, Eka; Foss, Bjarne Anton; Skogestad, Sigurd; Jäschke, Johannes. (2018) Improving Scenario Decomposition for Multistage MPC using a Sensitivity-based Path-following Algorithm. IEEE Control Systems Letters. vol. 2 (4).
Krishnamoorthy, Dinesh; Thombre, Mandar; Skogestad, Sigurd; Jäschke, Johannes. (2018) Data-driven Scenario Selection for Multistage Robust Model Predictive Control. IFAC-PapersOnLine. vol. 51 (20).
Stechlinski, Peter; Jaeschke, Johannes; Barton, Paul I.. (2018) Generalized sensitivity analysis of nonlinear programs using a sequence of quadratic programs. Optimization.
Suwartadi, Eka; Biegler, LT; Jaeschke, Johannes. (2018) A Multistage Economic Model Predictive Control for Time-Varying Parameter Value. 6th IFAC Conference on Nonlinear Model Predictive Control . International Federation of Automatic Control (IFAC); Madison, Wisconsin. 2018-08-19 - 2018-08-22.
Suwartadi, Eka; Jaeschke, Johannes. (2018) Fast Sensitivity-Based Nonlinear Economic Model Predictive Control with Degenerate NLP. 10th IFAC Symposium on Advanced Control of Chemical Processe . International Federation of Automatic Control (IFAC); Shenyang. 2018-07-25 - 2018-07-27.
Suwartadi, Eka; Jäschke, Johannes. (2018) Fast Sensitivity-Based Nonlinear Economic Model Predictive Control with Degenerate NLP. IFAC-PapersOnLine. vol. 51 (18).
Suwartadi, Eka; Krishnamoorthy, Dinesh; Jaeschke, Johannes. (2018) Fast Economic Model Predictive Control for a Gas Lifted Well Network. IFAC-PapersOnLine. vol. 51 (8).
Suwartadi, Eka; Krishnamoorthy, Dinesh; Jäschke, Johannes. (2018) Fast Economic Model Predictive Control for a Gas Lifted Well Network. 3rd IFAC Workshop on Automatic Control in Offshore Oil and Gas Production OOGP 2018 . International Federation of Automatic Control (IFAC); Esbjerg. 2018-05-30 - 2018-06-01.
Verheyleweghen, Adriaen; Jaeschke, Johannes. (2018) Self-Optimizing Control of an LNG Liquefaction Plant. Journal of Process Control.
Verheyleweghen, Adriaen; Jäschke, Johannes. (2018) Oil production optimization of several wells subject to choke degradation. IFAC-PapersOnLine. vol. 51 (8).
Verheyleweghen, Adriaen; Jäschke, Johannes; Gjøby, Julie Marie. (2018) Health-Aware Operation of a Subsea Compression System Subject to Degradation. European Symposium on Computer Aided Process Engineering ; Graz. 2018-06-10 - 2018-06-13.

2017

Das, Tamal; Backi, Christoph Josef; Jaschke, Johannes. (2017) A model for subsea oil-water gravity separator to estimate unmeasured disturbances. Computer-aided chemical engineering. vol. 40.
Das, Tamal; Jaeschke, Johannes. (2017) Pathfollowing approach for a sensitivity based moving horizon estimator. 2017 IEEE 56th Annual Conference on Decision and Control (CDC) ; Melbourne. 2017-12-12 - 2017-12-15.
Jaschke, Johannes; Cao, Yi; Kariwala, Vinay Kumar. (2017) Self-optimizing control - A survey. Annual Reviews in Control. vol. 43.
Kungurtsev, Vyacheslav; Jaschke, Johannes. (2017) A Predictor-Corrector Path-Following Algorithm for Dual-Degenerate Parametric Optimization Problems. SIAM Journal on Optimization. vol. 27 (1).
Suwartadi, Eka; Kungurtsev, Vyacheslav; Jaschke, Johannes. (2017) Sensitivity-Based Economic NMPC with a Path-Following Approach. Processes. vol. 5 (1).
Verheyleweghen, Adriaen; Jaeschke, Johannes. (2017) Framework for Combined Diagnostics, Prognostics and Optimal Operation of a Subsea Gas Compression System. IFAC-PapersOnLine. vol. 50 (1).
Verheyleweghen, Adriaen; Jaschke, Johannes. (2017) HEALTH-AWARE OPERATION OF A SUBSEA GAS COMPRESSION SYSTEM UNDER UNCERTAINTY. Foundations of Computer Aided Process Operations / Chemical Process Control 2017 . FOCAPO/CPC; Tucson, AZ. 2017-01-08 - 2017-01-12.

2016

Das, Tamal; Jäschke, Johannes Ernst Peter. (2016) Estimation of Unmeasured Oil and Water Purities for a Continuous Subsea Gravity Separator. Nordic Process Control Workshop ; 2016-08-25 - 2016-08-26.
Das, Tamal; Jäschke, Johannes Ernst Peter. (2016) A Simplified Dynamic Model of a Continuous Subsea Oil-Water Gravity Separator for Estimation of Unmeasurable Oil and Water Purities. Annual meeting - American Institute of Chemical Engineers.
Das, Tamal; Tyvold, Preben Furst; Jäschke, Johannes Ernst Peter. (2016) Modelling and optimization of compact subsea liquid-liquid separation system. Computer-aided chemical engineering. vol. 38.
de Oliveira, Vinicius; Jäschke, Johannes Ernst Peter; Skogestad, Sigurd. (2016) Optimal operation of energy storage in buildings: Use of the hot water system. Journal of Energy Storage. vol. 5.
de Oliveira, Vinicius; Jaschke, Johannes; Skogestad, Sigurd. (2016) Null-space method for optimal operation of transient processes. IFAC-PapersOnLine. vol. 49 (7).
Suwartadi, I Dewa Putu Eka; Jäschke, Johannes Ernst Peter. (2016) Economic Nonlinear Model Predictive Control with a Path-Following Approach. Annual meeting American Institute of Chemical Engineers (AICHE) . American Institute of Chemical Engineers (AICHE); San Francisco. 2016-11-13 - 2016-11-18.
Verheyleweghen, Adriaen; Jäschke, Johannes Ernst Peter. (2016) Health-aware operation and control of a subsea gas compression station. Nordic Process Control Workshop ; Sigtuna. 2016-08-25 - 2016-08-26.
Verheyleweghen, Adriaen; Jäschke, Johannes Ernst Peter. (2016) Robust Health Aware Operation of a Subsea Gas Compression System. AIChE Annual Meeting . AIChE; San Francisco. 2016-11-13 - 2016-11-18.
Verheyleweghen, Adriaen; Jäschke, Johannes Ernst Peter. (2016) Self-Optimizing Control of a Two-Stage Refrigeration Cycle. IFAC-PapersOnLine. vol. 49 (7).

2015

de Oliveira, Vinicius; Jaschke, Johannes; Skogestad, Sigurd. (2015) An autonomous approach for driving systems towards their limit: An intelligent adaptive anti-slug control system for production maximization. IFAC-PapersOnLine. vol. 48 (6).
de Oliveira, Vinicius; Jaschke, Johannes; Skogestad, Sigurd. (2015) Neighbouring-extremal control for steady-state optimization using noisy measurements. IFAC-PapersOnLine. vol. 48 (8).
Graciano, Jose Eduardo A; Jaschke, Johannes; Le Roux, Galo AC; Biegler, LT. (2015) Integrating self-optimizing control and real-time optimization using zone control MPC. Journal of Process Control. vol. 34.
Jaschke, Johannes. (2015) Optimizing process operation using sensitivity concepts. MOBOCON Symposium Optimazion and Control of Uncertain Systems ; Dortmund. 2015-09-15 - 2015-09-16.

2014

Jaschke, Johannes; Skogestad, Sigurd. (2014) A self-optimizing strategy for optimal operation of a preheating train for a crude oil unit. Computer-aided chemical engineering. vol. 33.
Jaschke, Johannes; Skogestad, Sigurd. (2014) Optimal operation of heat exchanger networks with stream split: Only temperature measurements are required. Computers and Chemical Engineering. vol. 70.
Jaschke, Johannes; Yang, X; Biegler, LT. (2014) Fast economic model predictive control based on NLP-sensitivities. Journal of Process Control. vol. 24 (8).

2013

de Oliveira, Vinicius; Jaschke, Johannes; Skogestad, Sigurd. (2013) Dynamic Online Optimization of a House Heating System in a Fluctuating Energy Price Scenario. Elsevier IFAC Publications / IFAC Proceedings series.
Jaschke, Johannes; Skogestad, Sigurd. (2013) Using Process Data for Finding Self-Optimizing Controlled Variables. Elsevier IFAC Publications / IFAC Proceedings series.
Minasidis, Vladimiros; Jaschke, Johannes; Skogestad, Sigurd. (2013) , Economic Plantwide Control: Automated Controlled Variable Selection for a Reactor-Separator-Recycle Process. Elsevier IFAC Publications / IFAC Proceedings series.

2012

Jaschke, Johannes; Skogestad, Sigurd. (2012) Control structure selection for optimal operation of a heat exchanger network. UKACC International Conference on Control 2012 ; Cardiff. 2012-09-03 - 2012-09-05.
Jaschke, Johannes; Skogestad, Sigurd. (2012) Economically Optimal Controlled Variables for Parallel Units - Application to Chemical Reactors. Elsevier IFAC Publications / IFAC Proceedings series. vol. 8.
Jaschke, Johannes; Skogestad, Sigurd. (2012) Optimal controlled variables for polynomial systems. Journal of Process Control. vol. 22 (1).

2011

Jaschke, Johannes. (2011) Invariants for Optimal Operation of Process Systems. 2011. ISBN 978-82-471-2909-8.
Jaschke, Johannes; Fikar, Miroslav; Skogestad, Sigurd. (2011) Self-optimizing Invariants in Dynamic Optimization. Proceedings of the IEEE Conference on Decision & Control, including the Symposium on Adaptive Processes.
Jaschke, Johannes; Skogestad, Sigurd. (2011) Controlled Variables from Optimal Operation Data. Computer-aided chemical engineering. vol. 29.
Jaschke, Johannes; Skogestad, Sigurd. (2011) Measurement Polynomials as Controlled Variables - Exercises. Selected Topics on Constrained and Nonlinear Control - Workbook.
Jaschke, Johannes; Skogestad, Sigurd. (2011) Measurements Polynomials as Controlled Variables. Preprints of the NIL workshop on Selected Topics on Constrained and Nonlinear Control.
Jaschke, Johannes; Skogestad, Sigurd. (2011) NCO tracking and self-optimizing control in the context of real-time optimization. Journal of Process Control. vol. 21 (10).
Jaschke, Johannes; Skogestad, Sigurd. (2011) Optimal operation by controlling the gradient to zero. Elsevier IFAC Publications / IFAC Proceedings series. vol. 18.
Skogestad, Sigurd; Yelchuru, Ramprasad; Jaschke, Johannes. (2011) Optimal use of measurements for control, optimization and estimation using the loss method: Summary of existing results and some new. Selected Topics on Constrained and Nonlinear Control - Workbook.

2010

Jaschke, Johannes; Skogestad, Sigurd. (2010) Self-optimizing Control and NCO tracking in the Context of Real-Time Optimizaton. Elsevier IFAC Publications / IFAC Proceedings series.

2009

Jaschke, Johannes; Skogestad, Sigurd. (2009) Nonlinear Measurement Combinations for Optimal Operation. Nordic Process Control Workshop 2009 ; Porsgrunn. 2009-01-29 - 2009-01-30.
Jaschke, Johannes; Skogestad, Sigurd. (2009) Optimally Invariant Variable Combinations for Nonlinear Systems. IFACS Symposium on Advanced Control of Chemical Processes (Adchem 2009) ; Istanbul. 2009-07-12 - 2009-07-15.
Jaschke, Johannes; Smedsrud, Helge; Skogestad, Sigurd; Manum, Henrik. (2009) Optimal Operation of a Waste Incineration Plant for Districk Heating. American Control Conference (ACC).
Manum, Henrik; Skogestad, Sigurd; Jaschke, Johannes. (2009) Convex initialization of the H2-optimal static output feedback problem. American Control Conference (ACC).

2008

Jaschke, Johannes; Narasimhan, Sridharakumar; Skogestad, Sigurd. (2008) Explicit real-time optimization. Elsevier IFAC Publications / IFAC Proceedings series.

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