Coal Utilization Science (High Density Sensor Network Development)

 

Management and control in<br/>self-organizing systems
Management and control in
self-organizing systems
Performer: 
Ames National Laboratory
Website:  Ames National Laboratory
Award Number:  FWP-AL-14-450-002
Project Duration:  10/01/2013 – 09/30/2014
Total Award Value:  $450,000
DOE Share:  $450,000
Performer Share:  $0
Technology Area:  Coal Utilization Science
Key Technology:  Simulation-Based Engineering
Location:  Ames, IA

Project Description

The cost of various sensors is dramatically dropping, the capability of sensors is increasing, and the demands for control and sensing in advanced power plants are significant. Based on this, future power plant sensor development will be based on implementing large-scale, high-density sensor networks. These networks will include a large variety of different kinds of sensors ranging from simple temperature and pressure measurement with little on-board processing capability, to those with advanced lab-on-a-chip capabilities. Because of the size and complexity of these sensor networks, these sensors will need to be synchronized and orchestrated to provide the significantly improved power plant control and engineering capability needed to achieve the efficiency and near-zero emissions goals of the Department of Energy. The goal of the project is to develop the mathematics, algorithms, and understandings needed for the implementation of these networks.

Project Benefits

The expected impact of this technology is reduced operating costs and emissions, and increased efficiency of energy systems such as coal-fired furnaces, fluidized beds, gasifiers, fuel cells, and advanced hybrid power plants.

Contact Information

Federal Project Manager 
Steven Seachman: steven.seachman@netl.doe.gov
Technology Manager 
Robert Romanosky: robert.romanosky@netl.doe.gov
Principal Investigator 
Kenneth Bryden: kmbryden@iastate.edu
 

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