An Information Theoretic Framework and Self-Organizing Agent-Based Sensor Network Architecture for Power Plant Condition Monitor Email Page
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Performer: Case Western Reserve University
Diagram of System Level Fusion of Sensor
Diagram of System Level Fusion of Sensor
Website: Case Western Reserve University
Award Number: FE0007270
Project Duration: 11/01/2011 – 10/31/2016
Total Award Value: $2,344,332
DOE Share: $1,827,457
Performer Share: $516,875
Technology Area: Coal Utilization Science
Key Technology: Sensors & Controls
Location: Cleveland, Ohio

Project Description

The main objective of this project is to develop an information theoretic sensing and control framework that encompasses distributed software agents and companion computational algorithms that maximize the collection, transmission, aggregation, and conversion of data to actionable information for monitoring, diagnosis, prognosis and control of advanced power plants.

Project Benefits

This project will focus on development of algorithms that will better enable advanced power generation systems to respond to the challenges of electric generation requirements in the future. Improvements in power industry algorithms will improve power plant operation resulting in greater efficiency, improved grid dispatch, and reduced emissions.

Contact Information

Federal Project Manager Sydni Credle: sydni.credle@netl.doe.gov
Technology Manager Briggs White: briggs.white@netl.doe.gov
Principal Investigator Kenneth Loparo: Kenneth.Loparo@case.edu

 

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