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Proceedings Paper

An energy signature scheme for steam trap assessment and flow rate estimation using pipe-induced acoustic measurements
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Paper Abstract

The US Congress has passed legislation dictating that all government agencies establish a plan and process for improving energy efficiencies at their sites. In response to this legislation, Oak Ridge National Laboratory (ORNL) has recently conducted a pilot study to explore the deployment of a wireless sensor system for a real-time measurement-based energy efficiency optimization framework within the steam distribution system within the ORNL campus. We make assessments on the real-time status of the distribution system by observing the state measurements of acoustic sensors mounted on the steam pipes/traps/valves. In this paper, we describe a spectral-based energy signature scheme that interprets acoustic vibration sensor data to estimate steam flow rates and assess steam traps health status. Experimental results show that the energy signature scheme has the potential to identify different steam trap health status and it has sufficient sensitivity to estimate steam flow rate. Moreover, results indicate a nearly quadratic relationship over the test region between the overall energy signature factor and flow rate in the pipe. The analysis based on estimated steam flow and steam trap status helps generate alerts that enable operators and maintenance personnel to take remedial action. The goal is to achieve significant energy-saving in steam lines by monitoring and acting on leaking steam pipes/traps/valves.

Paper Details

Date Published: 9 May 2012
PDF: 8 pages
Proc. SPIE 8366, Advanced Environmental, Chemical, and Biological Sensing Technologies IX, 83660F (9 May 2012); doi: 10.1117/12.919086
Show Author Affiliations
Mohammed M. Olama, Oak Ridge National Lab. (United States)
Glenn O. Allgood, Oak Ridge National Lab. (United States)
Teja P. Kuruganti, Oak Ridge National Lab. (United States)
Joe E. Lake, Oak Ridge National Lab. (United States)

Published in SPIE Proceedings Vol. 8366:
Advanced Environmental, Chemical, and Biological Sensing Technologies IX
Tuan Vo-Dinh; Robert A. Lieberman; Günter Gauglitz, Editor(s)

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