Distributed Fiber Sensing Systems for 3D Combustion Temperature Field Monitoring in Coal-Fired Boilers Using Optically Generated Acoustic Waves

The overall objective of the project is to develop a novel distributed optical fiber sensing system for real-time monitoring and optimization of spatial and temporal distributions of high temperature profiles in fossil power plant boilers. Specific objectives are to: 1) Establish a boiler furnace temperature distribution model and guide the design of the sensing system; 2) Develop the sensors with one active sensing element on each fiber as well as a temperature distribution reconstruction algorithm for proof-of-concept; 3) Develop the distributed sensing system to integrate multiple active sensing elements on a single optical fiber. The entire sensing system, after being fully integrated and tested in the university labs, will be tested on Alstom’s combustion test facility.

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Distributed Fiber Sensing Systems for 3D Combustion Temperature Field Monitoring in Coal-Fired Boilers Using Optically Generated Acoustic Waves (March 2017)
Presented by Xingwei Wang, University of Massachusetts at Lowell, Project Review Meeting for Crosscutting Research, Gasification Systems, and Rare Earth Elements Research Portfolios, Pittsburgh, PA.
Distributed Fiber Sensing Systems for 3D Combustion Temperature Field Monitoring in Coal-Fired Boilers Using Optically Generated Acoustic Waves (April 2016)
Presented by Jingcheng Zhou, University of Massachusetts at Lowell, University of Connecticut, 2016 NETL Crosscutting Technology Research Review Meeting, Pittsburgh, PA.
Distributed Fiber Sensing Systems for 3D Combustion Temperature Field Monitoring in Coal-Fired Boilers Using Optically Generated Acoustic Waves (April 2015)
Poster by Jingcheng Zhou, University of Massachusetts-Lowell, 2015 NETL Crosscutting Technology Research Review Meeting, Pittsburgh, PA.

Principal Investigator

Xingwei Wang

xingwiewang@uml.edu

Project Benefits

This work will address the critical problem of achieving higher efficiency and fewer pollutant emissions in fossil energy power plants. The novel distributed sensor can have broader applications including measurements of strain, flow, velocity, and crack growth and corrosion for structural health monitoring of fossil power plants.

Project ID

FE0023031

Website

University of Massachusetts at Lowell

http://www.uml.edu/