Model-based multi-parametric programming strategies towards the integration of design, control and operational optimization Chapter

abstract

• 2017 Elsevier B.V. Operational uncertainty is a critical aspect associated with a process plant's overall performance. In this work we formulate a mixed integer dynamic design optimization problem while taking into consideration the optimal control and control-aware scheduling decisions as a function of the design, via multi-parametric programming, following our PAROC framework. The approach is applied on a residential scale cogeneration unit for the production of usable heat and electrical power.

authors

• Pistikopoulos, Stratos

author list (cited authors)

• Diangelakis, N. A., & Pistikopoulos, E. N.

citation count

• 5

complete list of authors

• Diangelakis, Nikolaos A||Pistikopoulos, Efstratios N

Book Title

• 27th European Symposium on Computer Aided Process Engineering

publication date

• October 2017

publisher

• Elsevier  Publisher

published in

• Computer Aided Chemical Engineering  Journal

keywords

• Model Based Control
• Multi-parametric Programming
• Process Design
• Scheduling

Digital Object Identifier (DOI)

• 10.1016/B978-0-444-63965-3.50313-5

start page

• 1867

end page

• 1872

volume

• 40B

URL

• http://dx.doi.org/10.1016/b978-0-444-63965-3.50313-5