Development of Integrated Biomimetic Framework with Intelligent Monitoring, Cognition and Decision Capabilities for Control of Advanced Energy Plants Email Page
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Performer:  West Virginia University Research Corporation Location:  Morgantown, West Virginia
Project Duration:  01/15/2014 – 01/14/2018 Award Number:  FE0012451
Technology Area:  Plant Optimization Technologies Total Award Value:  $1,403,611
Key Technology:  Sensors & Controls DOE Share:  $1,093,807
Performer Share:  $309,804

Self-organizing, biometric control structure selection
Self-organizing, biometric control structure selection

Project Description

The objective of this proposed research is to develop algorithms and methodologies for designing biomimetic control systems that utilize distributed intelligence for optimal control of advanced energy plants. The algorithms will be developed so as to make them applicable to other process and power plants for which plant models are available.

Project Benefits

This project will develop algorithms and methodologies for designing control systems. In the absence of process models, process data can be used to build the models necessary for deployment of the developed algorithms. Overall, by supporting efforts to develop distributed intelligence for optimal control of advanced energy plants, this technology is expected to help lower operating costs in advanced energy plants.

Presentations, Papers, and Publications

Contact Information

Federal Project Manager Richard Dunst: richard.dunst@netl.doe.gov
Technology Manager Briggs White: briggs.white@netl.doe.gov
Principal Investigator Debangsu Bhattacharyya: debangsu.bhattacharyya@mail.wvu.edu