Bakgrunn og aktiviteter

General

DNV GL sponsored Professorship in Subsea Process Systems Engineering

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

  • Fast hierarchical economic optimization of dynamic systems, FRIPRP/IKTPLUSS Young Researcher Grant funded by the Norwegian Research Council
  • Estimation of unmeasured process variables for subsea processing systems, Funded within the SUBPRO center for research-based innovation SUBPRO SFI
  • Operational strategies for extending the remaining useful life of subsea processing systems, Funded within the SUBPRO center for research-based innovation SUBPRO SFI

Awards

Other

 

Vitenskapelig, faglig og kunstnerisk arbeid

Viser et utvalg av aktivitet. Se alle publikasjoner i databasen

2018

  • Das, Tamal; Jaeschke, Johannes. (2018) A control oriented model for inline deoiling hydrocyclone. Nordic process control workshop 2018 ; 2018-01-18 - 2018-01-19.
  • Matias, José O.A.; Le Roux, Galo AC; Jaeschke, Johannes. (2018) Modifier adaptation for real-time optimization of a gas lifted well network. IFAC-PapersOnLine.
  • Stechlinski, Peter; Jaeschke, Johannes; Barton, Paul I.. (2018) Generalized sensitivity analysis of nonlinear programs using a sequence of quadratic programs. Optimization.
  • Suwartadi, Eka; 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; Krishnamoorthy, Dinesh; Jaeschke, Johannes. (2018) Fast Economic Model Predictive Control for a Gas Lifted Well Network. IFAC-PapersOnLine.
  • Verheyleweghen, Adriaen; Jaeschke, Johannes. (2018) Self-Optimizing Control of an LNG Liquefaction Plant. Journal of Process Control.

2017

2016

2015

2014

2013

2012

2011

2010

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