A systematic synthesis and design methodology to achieve process intensification in (bio) chemical processes
Publication: Research - peer-review › Journal article – Annual report year: 2012
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A systematic synthesis and design methodology to achieve process intensification in (bio) chemical processes. / Lutze, Philip; Roman Martinez, Alicia; Woodley, John; Gani, Rafiqul.
In: Computers & Chemical Engineering, Vol. 36, 10.01.2012, p. 189-207.Publication: Research - peer-review › Journal article – Annual report year: 2012
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TY - JOUR
T1 - A systematic synthesis and design methodology to achieve process intensification in (bio) chemical processes
A1 - Lutze,Philip
A1 - Roman Martinez,Alicia
A1 - Woodley,John
A1 - Gani,Rafiqul
AU - Lutze,Philip
AU - Roman Martinez,Alicia
AU - Woodley,John
AU - Gani,Rafiqul
PB - Pergamon
PY - 2012/1/10
Y1 - 2012/1/10
N2 - Process intensification (PI) has the potential to improve existing processes or create new process options, which are needed in order to produce products using more sustainable methods. In principle, an enormous number of process options can be generated but where and how the process should be intensified for the biggest improvement is difficult to identify. In this paper the development of a systematic computer aided model-based synthesis and design methodology incorporating PI is presented. In order to manage the complexities involved, the methodology employs a decomposition-based solution approach. Starting from an analysis of existing processes, the methodology generates a set of process options and reduces their number through several screening steps until from the remaining options, the optimal is found. The application of the methodology is highlighted through a case study involving the chemo-enzymatic synthesis of N-acetyl-d-neuraminic acid (Neu5Ac).
AB - Process intensification (PI) has the potential to improve existing processes or create new process options, which are needed in order to produce products using more sustainable methods. In principle, an enormous number of process options can be generated but where and how the process should be intensified for the biggest improvement is difficult to identify. In this paper the development of a systematic computer aided model-based synthesis and design methodology incorporating PI is presented. In order to manage the complexities involved, the methodology employs a decomposition-based solution approach. Starting from an analysis of existing processes, the methodology generates a set of process options and reduces their number through several screening steps until from the remaining options, the optimal is found. The application of the methodology is highlighted through a case study involving the chemo-enzymatic synthesis of N-acetyl-d-neuraminic acid (Neu5Ac).
KW - Process intensification
KW - Process synthesis
KW - Knowledge base
KW - Methodology
U2 - 10.1016/j.compchemeng.2011.08.005
DO - 10.1016/j.compchemeng.2011.08.005
JO - Computers & Chemical Engineering
JF - Computers & Chemical Engineering
SN - 0098-1354
VL - 36
SP - 189
EP - 207
ER -