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PEC12-25 CAPEC-PROCESS Industrial Consortium ... - DTU Orbit

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Larissa P Cunico (LACU)<br />

<strong>CAPEC</strong><br />

Marina Fedorova (MFAD)<br />

<strong>CAPEC</strong><br />

Modelling of phase equilibria and related properties of<br />

mixtures involving lipids<br />

The objective of this project is to perform a systematic<br />

numerical analysis to determine the needs of phase equilibria<br />

and related properties in the production of edible oils, biodiesel<br />

and other oleochemicals. The available data in literature will be<br />

analyzed for consistency and then used to develop/adopt the<br />

most appropriate models, for example, group-contribution<br />

combined with atom connectivity based models. For systems<br />

that are not in literature, some experimental work will be<br />

conducted in UNICAMP – Department artment of Chemical<br />

Engineering in Brazil, where the necessary facilities exist. These<br />

developed predictive models will be used to determine the<br />

sensitivity of design variables with respect to uuncertainties<br />

in the<br />

predicted properties. The application of the he developed properties<br />

models will be illustrated through case studies involving<br />

different lipid compound processing steps. Then, the obtained<br />

results will be implemented in process simulation software and<br />

will be applied on industrial cases from Alfa Lav Laval Copenhagen<br />

A/S as one of the means to validate the models.<br />

Supervisors: RaG, Prof R. Cerriani, Dr. B Sarup<br />

Start: 1-3-2012; End: 28-2-2015<br />

Research areas: A, F<br />

Systematic methods and tools for computer aided modelling<br />

Models play an important role of increasing importance in<br />

design and analysis of chemicals/bio-chemicals chemicals based products<br />

and the processes that manufacture them because of the<br />

increasing use of computer-aided aided methods and tools. The<br />

advantage of using these model-based based methods and tools is that<br />

they have the potential to reduce the number of experiments,<br />

which can be expensive and time consuming. As the required<br />

models may be complex and require multiple time and/or<br />

lengths scales, their development and app application for productprocess<br />

design is not trivial. Therefore, the modelling<br />

framework can contribute by reducing the time and resources<br />

needed for model development and application, thereby<br />

reducing the overall time and cost for product product-process<br />

development<br />

The objective of this project is to develop methods and tools that<br />

will allow systematic development of models and their solution<br />

using a modelling framework, which consists of a model<br />

generation tool, a model analysis-solution solution tool and templates for<br />

solving ving different modelling problems. Through a number of<br />

modelling case studies, the novel features of the modelling<br />

framework will be illustrated.<br />

Supervisors: RaG, GSI<br />

Start: 1-4-2012; End: 31-3-2015<br />

Research areas: B, E, F<br />

32

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