Functional representation and reasoning about composition properties in process plant




Greater Copenhagen area

Multilevel Flow Models (MFM) ( has been used to represent various process plants. 

Apart from the simple mass flow, special functions (separation, mixing, reaction) affect the composition of that flow. Like the mass flow, the composition has to be in balance between all inflows and outflow of these special functions. As the composition of a flow affects its physical properties, a deviation in the composition propagates through the system as well as offsets in the flows.

The aim of this project will be to analyze a case study of a relevant process (e.g. de-aeration of sea water or oil and gas separation) and define propagation rules for the composition role in MFM.

Finally, these rules should be implemented in the reasoning system and demonstrated on the respective MFM model.

This master project is supported by DTU-Elektro (AUT), DHRTC, and Eldor Technology.

In collaboration with

Eldor Technology


Object-Oriented Programming

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Company / Organization

DTU Elektro


Xinxin Zhang




Supervisor info

MSc in Electrical Engineering


Xinxin Zhang

ECTS credits

30 - 35


MSc thesis

Must be completed


Technical University of Denmark

For almost two centuries DTU, Technical University of Denmark, has been dedicated to fulfilling the vision of H.C. Ørsted – the father of electromagnetism – who founded the university in 1829 to develop and create value using the natural sciences and the technical sciences to benefit society.

Today, DTU is ranked as one of the foremost technical universities in Europe, continues to set new records in the number of publications, and persistently increases and develops our partnerships with industry, and assignments accomplished by DTU’s public sector consultancy.

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