Investigation of "Smart Parts" with Embedded Sensors for Energy System Applications Email Page
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Performer:  University of Texas at El Paso Location:  El Paso, Texas
Project Duration:  10/01/2013 – 09/30/2017 Award Number:  FE0012321
Technology Area:  Plant Optimization Technologies Total Award Value:  $1,150,820
Key Technology:  Sensors & Controls DOE Share:  $913,287
Performer Share:  $237,532

''Smart Parts'' with embedded sensors, (a) sensing<br/>capabilities showcase, (b) case study 1, ''smart''<br/>tube, (c) case study 2, ''smart'' pre-mixer.
''Smart Parts'' with embedded sensors, (a) sensing
capabilities showcase, (b) case study 1, ''smart''
tube, (c) case study 2, ''smart'' pre-mixer.

Project Description

This research project aims to optimize advanced 3-D manufacturing processes for embedded sensors in energy system components, characterizing the performance and properties of these smart parts, and assessing the feasibility of applying these parts in harsh energy system environments. Specific project objectives are to (1) fabricate energy system related components with embedded sensors, (2) evaluate the mechanical properties and sensing functionalities of the smart parts with embedded piezoceramic sensors, and (3) assess in-situ sensing capability of energy system parts. This research effort will not only contribute to designing and fabricating parts, but also to determining the smart part's durability, repeatability, and stability by testing it in realistic energy environments.

Project Benefits

This project will aid in designing and fabricating energy system "smart parts" and determining their durability, repeatability, and stability through testing in realistic energy environments. This research will aid in the development of advanced technologies to reduce the cost and increase the efficiency of power-generation facilities with carbon capture capabilities.

Presentations, Papers, and Publications

Contact Information

Federal Project Manager Maria Reidpath:
Technology Manager Briggs White:
Principal Investigator Yirong Lin: