Projects / Programmes
Sustainable MINLP optimization of chemical processes for the entire life-cycle
| Code |
Science |
Field |
Subfield |
| 2.02.00 |
Engineering sciences and technologies |
Chemical engineering |
|
| Code |
Science |
Field |
| T350 |
Technological sciences |
Chemical technology and engineering |
| T120 |
Technological sciences |
Systems engineering, computer technology |
| T130 |
Technological sciences |
Production technology |
| P175 |
Natural sciences and mathematics |
Informatics, systems theory |
MINLP, sustainable development, life cycle, operability, flexibility, controllability, synthesis, retrofit, chemical process, multiperiodic model
Researchers (9)
Organisations (1)
Abstract
The main goal of this project is development of advanced mixed-integer nonlinear programming (MINLP) optimization methodology for the synthesis and retrofit of sustainable chemical processes through the entire life-cycle. Basic idea is to introduce the issues of sustainability and operability into an effective MINLP frame, considering expected trends in the existing supply chain for the whole plant life-cycle timescale. The objective is to design flexible and controllable plants to improve their operating efficiency, market competition and environmental sustainability with respect to energy consumption and the reduction of their environmental impact.
The capabilities of recent methodology will be extended through the following research activities:
- Development and implementation of life-cycle and sustainability criteria within the MINLP
synthesis and/or retrofit of chemical processes;
- Development of mathematical models and strategies for synthesis of flexible and controllable
process schemes;
- Study of interactions between reactor / separator / heat exchange networks and efficient
multilevel MINLP synthesis and retrofit of process schemes at different levels of model
aggregation;
- Consistent modeling at different levels of process scheme development: early design stage,
more detailed design and flexible design with their multiperiod life-cycle formulation;
- Development of multilevel MINLP strategies for solving large combinatorial problems;
- Implementation of the methodology in the existing CAPE tools.
The main aim is thus to extend the current level of MINLP process synthesis and retrofit to initiate new processes or to innovate the existing ones with respect to the criteria of operability, sustainability and life-cycle considering interactions between the process and its supply chain background.
