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

Lida Simasatitkul (LDSI)
Chulalongkorn-CAPEC
Muhammad Zaman
KAIST-CAPEC
From biomass to fatty alcohol via bio bio-diesel: Optimal
process design
The objective of this project is to develop a systematic step by
step methodology to obtain flexible process flowsheets for
biodiesel and related products from different bio bio-sources. The
methodology will generate different flowsheet alternatives,
analyze them hem through process simulation and evaluate them
based on operational issues, economics, and supply chain as
well as sustainability measures to deteremine the best process
design. The systematic methodology will be applied to a case
study to determine the optimal process design to produce a
combination of at least two products: bio bio-diesel and/or fatty
alcohol from at least two different biosources: palm oil and
waste cooking palm oil. The process flowsheet should be
flexible to allow the processing steps re required for both the
products using both the raw material sources. The process
design should be flexible so that changing prices/supply of raw
materials as well as prices/demand of products can be handled.
That is, the process flowsheet should be able to ha handle the
changing operating conditions for the raw material to product
processing routes.
Collaboration with Chulalongkorn University, Bangkok,
Thailand (Prof A Arpornwichanop)
Research areas: B, C, E
Carbon dioxide capture from power plants: Performance
and control studies
Carbon dioxide is responsible for 60 percent of the global
warming caused by greenhouse gases (GHGs). According to the
International Energy Agency’s roadmap, 20 percent of the total
CO2 emissions issions should be removed by CCS by year 2050. Hence
the capture of CO2 from power plants, mainly form coal based
power generation is much significant for greenhouse gas
reduction. The overall objective of this project is to perform
comparative performance study for different solvents and
alternative configurations of the carbon capture process, and to
perform dynamic simulations for the selected process to resolve
control issues. For the base case, mature solvent
monoethanolamine (MEA) will be used. For process simulation
and analysis, commercial simulators with user user-added modules
will be used. The project will try to identify suitable solvent
replacements; identify the most important design design-control
parameters; develop dynamic models for the CO2 capture
process; cess; identify novel integration opportunities to make the
process more sustainable than the existing base case designs.
Collaboration with KAIST, Korea (Prof Jay H. Lee)
Research areas: B; D, E
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