The browser you are using is not supported by this website. All versions of Internet Explorer are no longer supported, either by us or Microsoft (read more here: https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Please use a modern browser to fully experience our website, such as the newest versions of Edge, Chrome, Firefox or Safari etc.

Minimization of economical losses due to utility disturbances in the process industry

På svenska

Author

Summary, in English

A process industrial site may consist of several production areas, some producing intermediate products for further refinement in other areas, and some producing end products. The areas may share the same utilities, such as steam and cooling water, which means that the areas could be connected both by the flow of products through the site and by the use of the same utilities. Management of utility disturbances thus becomes an interesting topic. In this paper, a simple approach for modeling utilities is suggested and used to formulate a mixed-integer quadratic program (MIQP) that aims at minimizing the total economic loss at the site, due to utility disturbances. The optimization problem is reformulated as an ordinary quadratic program (QP), where auxiliary variables are utilized to avoid the use of integer variables. For suitable choices of the optimization weights, the solutions to the MIQP and the QP are in many cases equal. Two examples are given, where one is a small example inspired by a real site at the specialty chemicals company Perstorp, and the second is a larger problem that aims to show the advantage of the QP formulation when the number of areas, and thus the number of integer variables, becomes large.

Publishing year

2013

Language

English

Pages

767-777

Publication/Series

Journal of Process Control

Volume

23

Issue

5

Document type

Journal article

Publisher

Elsevier

Topic

  • Control Engineering

Keywords

  • production control
  • plant-wide disturbances
  • optimization
  • receding horizon control
  • utilities
  • process industry

Status

Published

Project

  • PICLU

Research group

  • LCCC

ISBN/ISSN/Other

  • ISSN: 1873-2771