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

CAPEC
Jason Price (JAPR)
CAPEC-PROCESS
Alberto Quaglia (AQ)
important in chemical process-product design. However, due to
the increased complexity of the molecular structures of
chemicals, their wider applications, and demands for greater
accuracy, extension and analysis of the current prediction
methods as well as development of new models are necessary.
Therefore, the combination of group-contribution (GC) and
atom connectivity (CI) (the GC Plus approach) that is able to
extend the application range of the host property model has been
developed and extended to predict the UNIFAC GC-model
parameters (see PEC09-17). The objectives of this PhD-project
is to analyze the performance of the GC Plus approach in VLE and
SLE calculations and based on it, to extend and further develop
the GC Plus approach for other versions of the UNIFAC models
and to apply the models for chemical process synthesis and
design.
Supervisors: RaG, GK
Start: 01-04-2009; End: 31-09-2012
Research area: A, B, C
Operation and Control of Enzymatic Biodiesel Production
This work explores the control of biodiesel production via an
enzymatic catalyst. Currently enzymatic catalysts are not in
widespread use for commercial-scale biodiesel production. This
is mainly due to non-optimized process designs. Furthermore is
it unclear what process variables need to be monitored and
controlled to ensure optimal economics. Critical to the project is
to develop a control methodology to optimize the productivity
of biodiesel production. The implementation of a control system
to handle changes in the feed composition and the correct
dosing of alcohol can potentially lead to very large energy
savings and at the same time provide a more consistent product
quality. However given most conversion and quality analyses of
biodiesel are commonly done by chromatographic methods,
suitable measurement techniques will need to be investigated to
obtain real-time information on the states of the system.
The main deliverable is a steady state and dynamic simulation
model of the process including a strategy for monitoring and
process control. This model and the proposed strategies will be
validated experimentally on the department’s pilot facilities.
Supervisors: JW, JKH, MAN
Start: 01-09-2011; End: 01-10-2014
Research area: B, D
Incremental refinement of process design
Process Simulation is not common in the food and biofuels
industries, mainly due to the complexity of thermodynamics and
transport properties of the species involved.
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