Projekt

Functional representation and reasoning about composition properties in process plant

Udbyder

Vejleder

Sted

København og omegn

Multilevel Flow Models (MFM) (http://www.mfm.elektro.dtu.dk/english/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.

I samarbejde med

Eldor Technology

Forudsætninger

Object-Oriented Programming

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Kontakt

Virksomhed/organisation

DTU Elektro

Navn

Xinxin Zhang

Stilling

Adjunkt

Mail

xinz@elektro.dtu.dk

Vejleder-info

Kandidatuddannelsen i Elektroteknologi

Vejleder

Xinxin Zhang

ECTS-point

30 - 35

Type

Kandidatspeciale

Skal have taget

31372

OM DTU

DTU er et teknisk eliteuniversitet med international rækkevidde og standard. Vores mission er at udvikle og nyttiggøre naturvidenskab og teknisk videnskab til gavn for samfundet. 10.000 studerende uddanner sig her til fremtiden, og 5.700 medarbejdere har hver dag fokus på uddannelse, forskning, myndighedsrådgivning og innovation, som bidrager til øget vækst og velfærd.

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