The PSE Model-Based Innovation Prize 2018

Judgement criteria and judges' comments

Papers were judged against the following specific five criteria, taking into account the general guidelines published on the PSE website:

  • Innovation with respect to model-based concepts [25%]
  • Innovation with respect to construction and application of gPROMS® models [25%]
  • Innovation with respect to integration, use and implementation of model-based activities [25%]
  • Scope and significance of the results obtained [15%]
  • Overall scientific interest and relevance [10%].

As by definition the papers have already been reviewed and accepted for publication they are deemed to have scientific merit, and were thus not judged explicitly on this criterion other than to award ‘tie-breaker’ points in the last category.

Implicitly taken into account were the modelling themes that PSE is promoting for advanced process modelling and model-based innovation in general:

  • high-fidelity modelling, going to chemical engineering first principles where possible
  • model validation using experimental data in order to integrate theoretical models to observed values
  • multipurpose process modelling – i.e. using the same model for a variety of model-based activities in order to enhance return on modelling investment.


Judges' comments – Winning paper

Integrated design of ORC process and working fluid using process flowsheeting software and PC-SAFT by Johannes Schilling*, Andre Bardow of RWTH Aachen University, Germany; Joachim Gross of Stuttgart University, Germany.

Published in Proceedings of the IV International Seminar on ORC Power Systems, ORC2017, Italy.


This is an excellent work presenting the integration of a Computer Aided Molecular Design (CAMD) into the flowsheeting environment of gPROMS for the integrated design of process and working fluid. Several libraries in ProcessBuilder were adapted to employ the Variable Molecular Structure Compound feature of gSAFT during process optimisation. The resulting MINLP optimisation in gPROMS simultaneously determined the optimal working fluid and corresponding optimal process design.

Judges' comments

"An excellent piece of work demonstrating the integration of gPROMS with a Computer Aided Molecular Design for the integrated design of process and working fluid. The optimisation capabilities of gPROMS were then employed to determine simultaneously the optimal working fluid and corresponding optimal process."

Judges' comments – Runners-up

Prediction of critical quality attributes and optimization of continuous dry granulation process via flowsheet modeling and experimental validation by Seo-Young Park*, Shaun C. Galbraith, Huolong Liu, Bumjoon Cha, Zhuangrong Huang, Seongkyu Yoon of Department of Chemical Engineering, University of Massachusetts, Lowell, MA; HaeWoo Lee of Daegu-Gyeongbuk Medical Innovation Foundation (DGMIF), Daegu, South Korea; Thomas O'Connor and Sau Lee of Food and Drug Administration, Center for Drug Evaluation and Research, United States.

Published in Powder Technology, Elsevier.


This work presents an integrated flowsheet model for a dry granulation process using gSOLIDS. Several key unit operations were modelled including powder feeding and roller compaction and milling, and the model was formally validated using experimental data. The validated model was used to study the effect of different operating conditions on the quality of the product in detail.

Judges' comments

"A nice use of gSOLIDS for the integrated modelling of a continuous dry granulation process followed by experimental validation."

Judges' comments – Runner-up

Feasibility of novel integrated dividing-wall batch reactive distillation processes for the synthesis of methyl decanoate by Dhia Y. Aqar* of University of Bradford, UK and Ministry of Oil, South Refineries Company, Basra, Iraq, Nejat Rahmanian, Iqbal M. Mujtaba of University of Bradford, UK.

Published in Separation and Purification Technology, Elsevier.


This work illustrates the gPROMS-based development of a detailed model for a novel integrated divided-wall and batch distillation process. The optimisation capabilities of gPROMS are employed to define the optimal operating conditions of the integrated process as well as to assess the viability of various process configurations.

Judges' comments

"Very good work illustrating the use of gPROMS for the simulation and optimisation of a novel integrated divided-wall batch reactive distillation process."

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