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 language | English (US) |
|---|---|
| Pages (from-to) | 352-363 |
| Number of pages | 12 |
| Journal | AIChE Symposium Series |
| Volume | 98 |
| Issue number | 326 |
| State | Published - Dec 1 2002 |
| Event | Chemical 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 2001 → Jan 12 2001 |
Keywords
- Adaptive agents
- Cross-functional integration
- Data-centric modeling
- District heating
- Electric power
- Model predictive control
- Oil refining
