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An optimal control approach to considering uncertainties in kinetic parameters in the maintenance scheduling and production of a process using decaying catalysts

Accepted version
Peer-reviewed

Type

Article

Change log

Authors

Adloor, SD 
Vassiliadis, VS 

Abstract

This article presents a novel approach for optimising maintenance scheduling and production in a process using decaying catalysts while considering uncertainties in the kinetic parameters involved. The approach formulates this problem as a multistage mixed-integer optimal control problem (MSMIOCP) and uses a solution methodology that can offer a number of potential advantages over conventional methodologies. The solution methodology involves using a multiple scenario approach to consider parametric uncertainties and formulating a stochastic version of the MSMIOCP, which is solved as a standard nonlinear optimisation problem using a technique developed in a previous work. The proposed formulation and solution methodology are applied to identify the effects on the optimal process operation, of individual uncertainty of each parameter, of simultaneous uncertainty of all parameters and of the number of scenarios generated, as four case studies. The results obtained provide insights into these aspects and indicate the approach’s capability to solve this problem.

Description

Keywords

4007 Control Engineering, Mechatronics and Robotics, 40 Engineering

Journal Title

Computers & Chemical Engineering

Conference Name

Journal ISSN

0098-1354

Volume Title

149

Publisher

Elsevier BV
Sponsorship
Author S.D. Adloor would like to acknowledge the Cambridge India Ramanujan Scholarship awarded by the Cambridge Trust and the Science and Engineering Research Board of India for the financial support of this research.