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Dipl.-Inf. Tim Janus

Dipl.-Inf. Tim Janus Photo of Dipl.-Inf. Tim Janus

(+49)231 755-5142

(+49)231 755-5129


Fakultät Bio- und Chemieingenieurwesen
Lehrstuhl für Systemdynamik und Prozessführung
Geschossbau 2

Room 328


Short CV

Tim Janus studied computer science at TU Dortmund University. Before joining the chair, he planned, developed and tested a software package for a research project, that is used to optimize several case studies of chemical processes which were designed with the de-facto industry standard flowsheet simulation software Aspen Plus. He joined the chair in November 2015 where he researches algorithms for the optimization of chemical processes in the conceptual design phase. He also continues the development of the software package that is used for chemical process modelling and optimization at the chair.

Consultation Hour

By arrangement via mail.

Research Interests

My research interests are in the field of optimization for chemical processes. The underlying optimization problems are MINLPs (Mixed Integer Non Linear Programs). I investigate methods to solve those complex problems by combining stochastic optimization algorithms like evolution strategies with more specialized local methods. In my research I use case-studies designed as equation-oriented models and also case-studies designed as flowsheets in process simulators, like Aspen Plus.


InPROMPT SBP/Transregio 63 (C1)

Support and Development of the optimization software FSOpt.


Subproject C1 focusses on the early phase of process design. In this phase, the main task is the generation of process alternatives and the evaluation of different alternatives under uncertainty. I continued the development of the integrated platform FSOpt that is used for modelling and optimizing chemical process alternatives.

SuperOpt  - Strukturoptimierung chemischer Prozesse für maximale Energieeffizienz


The goal of the BMBF project SuperOpt is the development of a prototypical software that can identify the most energy- and cost-efficient variant of a chemical process. Therefore, the commercial flowsheet simulation software Aspen Plus is used to model and simulate the chemical process. A memetic algorithm and derivative free methods are combined to search for the best solution. Thereby, parts of the process are exchanged with alternatives.

InPROMPT SBP/Transregio 63 (Subproject D1)


Subproject D1 focusses on an iterative approach to generate a detailed model of a chemical process (Hydroformulation). Hereby D1 is responsible to consolidate the different models like reaction kinetics, the behavior of single- or multi-phase solvent systems and cat leaching which are generated by other subprojects. For that reason, optimal design of experiments and the final flowsheet optimization for the complete chemical process are goals of D1.



DYN6a, DYN6b, DYN8, DYN11,



Supervised Theses



in proceedingsJanus, Lübbers, Engell

Neural Networks for Surrogate-assisted Evolutionary Optimization of Chemical Processes

IEEE, 1-8, 2020

in proceedingsJanus, Cegla, Barkmann, Engell

Optimization of a hydroformulation process in a thermomorphic solvent system using a commercial steady-state process simulator and a memetic algorithm


journalJanus, Foussette, Urselmann, Tlatlik, Gottschalk, Emmerich, Bäck, Engell

Optimierungsbasierte Prozesssynthese auf Basis eines kommerziellen Flowsheet Simulators


in proceedingsUrselmann, Janus, Foussette, Tlatlik, Gottschalk, Emmerich, Bäck, Engell

Derivative-Free Chemical Process Synthesis by Memetic Algorithms Coupled to Aspen Plus Process Models

European Symposium on Computer-Aided Process Engineering (ESCAPE-26), 38, 187-192, 2016

in proceedingsUrselmann, Janus, Foussette, Tlatlik, Gottschalk, Emmerich, Engell

Designoptimierung thermischer Trennverfahren mit memetischen Algorithmen und Aspen Plus Prozessmodellen

Jahrestreffen der ProcessNet-Fachgemeinschaft Fluiddynamik und Trenntechnik, 87, 1060, 2015

talkBäck, Urselmann, Janus, Foussette, Krause, Gottschalk, Tlatlik, Engell

Optimization of the Structure and the Operational Parameters of Chemical Processes by a Memetic Algorithm coupled to Aspen Plus Simulations

AspenTech Optimize 2015, 2015

in proceedingsUrselmann, Foussette, Janus, Tlatlik, Gottschalk, Emmerich, Engell, Bäck

Selection of a DFO Method for the Efficient Solution of Continuous Constrained Sub-Problems within a Memetic Algorithm for Chemical Process Synthesis

Genetic and Evolutionary Computation Conference (GECCO 2016), 1029-1036, 2015

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