Emerging technologies for enterprise optimization in the process industries

Rudolf Kulhavý, Joseph Lu, Tariq Samad

Research output: Contribution to journalConference articlepeer-review

8 Scopus citations

Abstract

A discussion on three emerging technologies for process enterprise optimization covers the cross-functional integration on a model predictive control (MPC) foundation, in which a coordination layer is added to dynamically integrate unit-level MPC; enterprise optimization for oil refining, which was used to illustrate the concept; data-centric forecasting and optimization, providing some details for how high-dimensional problems can be addressed and outlining an application to a district heating network; adaptive software agents and their use for developing bottom-up models of complex systems; a tool for the deregulated electric power industry; and the importance of seeking multiple approaches to complex problems, leveraging existing foundations and advances in information technology, and a multidisciplinary perspective. These topics were discussed in a presentation at the 6th AIChE International Conference on Chemical Process Control (Tucson, AZ 1/7-12/2001).

Original languageEnglish (US)
Pages (from-to)352-363
Number of pages12
JournalAIChE Symposium Series
Volume98
Issue number326
StatePublished - Dec 1 2002
EventChemical Process Control - VI, Assessment and New Directions for Research: Proceedings of the 6th International Conference on Chemical Process Control - Tucson, AZ, United States
Duration: Jan 7 2001Jan 12 2001

Keywords

  • Adaptive agents
  • Cross-functional integration
  • Data-centric modeling
  • District heating
  • Electric power
  • Model predictive control
  • Oil refining

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