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 Location:  Cleveland, Ohio
Project Duration:  11/01/2011 – 10/31/2016 Award Number:  FE0007270
Technology Area:  Coal Utilization Science Total Award Value:  $2,304,858
Key Technology:  Sensors & Controls DOE Share:  $1,787,983
Performer Share:  $516,875

Diagram of System Level Fusion of Sensor
Diagram of System Level Fusion of Sensor

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.

Presentations, Papers, and Publications

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