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Data Analysis for Tracking and Optimizing Boiler Performance

[+] Author Affiliations
Kushi Sellahennedige, Jason Lee

Riley Power Inc., Worcester, MA

Paper No. POWER2015-49813, pp. V001T10A004; 7 pages
doi:10.1115/POWER2015-49813
From:
  • ASME 2015 Power Conference collocated with the ASME 2015 9th International Conference on Energy Sustainability, the ASME 2015 13th International Conference on Fuel Cell Science, Engineering and Technology, and the ASME 2015 Nuclear Forum
  • ASME 2015 Power Conference
  • San Diego, California, USA, June 28–July 2, 2015
  • Conference Sponsors: Power Division
  • ISBN: 978-0-7918-5660-4
  • Copyright © 2015 by ASME

abstract

In order to understand how a boiler is performing/ operating, it is critical to obtain data throughout its operation. Data collection and storage methods have evolved through the years improving the quality and quantity of the data. Data is valuable for tracking current unit performance, troubleshooting and helping to narrow down any potential issues/ concerns with performance. Proper use of data collection and analysis may minimize the need for scheduled performance testing except when specific data points are required. This paper will discuss how sensitivity analysis can be utilized to determine the effect lack of/poor quality data has on the desired analysis. It discusses data collection and evaluation for various cases and the relevant ASME codes. Other key features of the paper are the various methods available for data representation, allowing the engineer to easily track key operating parameters.

Copyright © 2015 by ASME
Topics: Boilers

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