Workshop on Optimization Under Uncertainty

03-09-2018 – The workshop on optimization under uncertainty at TU Dortmund was organized by the DYN group in the context of the European project PRONTO.

PRONTO: PROcess NeTwork Optimization for efficient and sustainable operation of Europe’s process industries taking machinery condition and process performance into account.

The PRONTO – ITN is an Innovative Training Network funded by the European Commission through its Marie Skłodowska-Curie Actions. The goal of PRONTO is the integration of information about equipment condition into the process network operation, providing decision support to operators and managers to achieve an optimally energy and resource efficient network production.

The workshop

In the morning, Prof. Sergio Lucia (TU Berlin) and Prof. Rüdiger Schultz (Universität Duisburg-Essen) gave two seminars on Robust Model-predictive Control and on Discrete Optimization under Uncertainty. In the afternoon, the Poster Sessions provided an opportunity to present research results from the PRONTO project and the DYN group.



ESRs of the PRONTO project attended the 10th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes. The conference hosted 200 registered participants in the following topics: fault diagnosis, process supervision, safety monitoring and fault-tolerant control as well as state-of-the-art applications and emerging research directions.
The ESRs presented the following works:

  • Stief, A., Ottewill, J. R., Tan, R., Cao, Y., Process and Alarm Data Integration under a Two-Stage Bayesian Framework for Fault Diagnostics
  • Lucke, M., Chioua, M., Grimholt, C., Hollender, M., Thornhill, N., On Improving Fault Detection and Diagnosis Using Alarm-Range Normalisation
  • Cong, T., Baranowski, J., Binary Classifier for Fault Detection Based on Gaussian Model and PCA

The website of the conference can be found at  

ESRs at ADCHEM2018


ESRs of the PRONTO project attended 10th IFAC Symposium on Advanced Control of Chemical Processes. They presented various results from PRONTO ranging from Online Alarm Flood Classification to Model Predictive Control. The Conference hosted more than 200 participants in the following topics: Model-based Control, Modelling and Identification, Scheduling and Optimization, Big Data Analytics and Monitoring, Batch Processes, Process Applications, Energy Processes and Control. During the conference the participants had the chance to visit the State Key Laboratory of Synthetical Automation for Process Industries at the Northeastern University.

The ESRs presented the following works:

  • Galan, A., de Prada, C.,  Sarabia, D., Gutierrez, G., González, R., Sola, M., Validation of a hydrogen network RTO application for decision support of refinery operators, ADCHEM 2018.
  • Schulze Spüntrup, F., Imsland, L., Asset fleet management in the process industry – a conceptual model, ADCHEM 2018.
  • Gutierrez, G., Galan, A., Sarabia, D., de Prada, C., Two-stage stochastic optimization of a hydrogen network, ADCHEM 2018.
  • Lucke, M., Chioua, M., Grimholt, C., Hollender, M., Thornhill, N., Online alarm flood classification using alarm coactivations, ADCHEM 2018.
  • Stief, A., Tan, R., Cao, Y., Ottewill, J. R., Analytics of heterogeneous process data: Multiphase flow facility case study, ADCHEM 2018.
  • Bradford, E., Imsland, L., Economic stochastic model predictive control using the unscented Kalman filter, ADCHEM 2018. (IFAC Young Author Award finalist)

The website of the conference can be found at

ESRs at PSE2018

PSE 2018 July 1-5, 2018, San Diego, California, USA





ESRs of the PRONTO project attended the International Symposium on Process Systems Engineering San Diego, California, USA. They presented various results from PRONTO ranging from Demand Side Management to model predictive control.

The following talks were given:

  • Borghesan, F., Thornhill, N.F., Chioua, M., Forecast of persistent disturbances in process systems using a k-nearest neighbor and a weighted k-nearest neighbor method, PSE 2018.
  • Leo, E., Engell, S., Multi-stage integrated electricity procurement and production scheduling, PSE 2018
  • Dalle Ave, G., Harjunkoski, I., Engell, S., Industrial demand side management formulation for simultaneous electricity load commitment and future load prediction, PSE 2018
  • Bradford, E., Imsland, L., Economic model predictive control of batch processes using parameterized control policies, PSE 2018

The website of The conference can be found on

ESRs at ESCAPE2018

ESCAPE28, June 10th to 13th, 2018, Graz, Austria

ESRs of the PRONTO project attended the 28th European Symposium on Computer Aided Process Engineering in Graz, Austria. They presented interesting results on optimal batch scheduling, Demand side Management and degradation modelling.

The following talks were given:

  • A heuristic neighborhood search-based approach for the solution of resource-task network scheduling problems, Giancarlo Dalle Ave, Xing Wang, Iiro Harjunkoski, Sebastian Engell
  • A two-stage stochastic programming approach to integrated day-ahead electricity commitment and production scheduling, Egidio Leo, Sebastian Engell
  • Wu, O., Bouaswaig, A.E.F., Schneider, S.M., Leira, F.M., Imsland, L., and Roth, M., 2018, Data-driven degradation model for batch processes: a case study on heat exchanger fouling, European Symposium on Computer-Aided Process Engineering 2018 (ESCAPE-28).

The website of the conference and the book of abstracts can be found on .










Network meeting in Ladenburg

Host Institution: ABB Ladenburg, Germany
Date: 26th-28th June 2017

This three-days meeting took place in Ladenburg, Germany at ABB Corporate Research Center. The first day of the meeting the ESRs attended a course about Intellectual property rights, protection and management given by the Intellectual Property Department of ABB Corporate Research Center.

The second day of the meeting consisted of a session of presentations delivered by the ESRs on project progress. The session was followed by a project network meeting which included discussion on the project progress, solutions to various challenges as well as future actions.

The third day the participants visited the BASF Ludwigshafen production site where they had an excellent opportunity to see how some solutions developed within previous projects are successfully running in the real production environment.

More information about the BASF Ludwigshafen production can be found here.

Second Network meeting

Host Institution: Imperial college london
Date: 20-22nd December 2016

During the network meeting, the ChemEng Discovery Space allowed the ESRs within PRONTO to benefit from an unparalleled hands-on educational experience, with the four-storey high state-of-the-art carbon capture pilot plant representing a scaled-down chemical engineering plant- situated in the very heart of London. The centrepiece of the facility is the show-stopping ABB control room, accompanied by the installation of several brand new laboratories kitted out with the latest chemical engineering teaching equipment.

More information about the plant can be found here.