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Model-Based Data Reconciliation to Improve Accuracy and Reliability of Performance Evaluation of Thermal Power Plants

[+] Author Affiliations
Peter Hartner, Josef Petek, Peter Pechtl

GE Energy, Graz, Austria

Patrick Hamilton

GE Energy, Minden, NV

Paper No. GT2005-68937, pp. 195-200; 6 pages
doi:10.1115/GT2005-68937
From:
  • ASME Turbo Expo 2005: Power for Land, Sea, and Air
  • Volume 4: Turbo Expo 2005
  • Reno, Nevada, USA, June 6–9, 2005
  • Conference Sponsors: International Gas Turbine Institute
  • ISBN: 0-7918-4727-6 | eISBN: 0-7918-3754-8
  • Copyright © 2005 by ASME

abstract

Accurate on-line plant and equipment performance evaluation is becoming critical in the power generation industry as operators seek to optimize their plants, particularly in competitive power markets. The analysis accuracy of an on-line performance monitoring system is directly dependent on the quality of the input data and usually suffers because installed plant sensors are not high-precision instruments. The inherent measurement uncertainties can be overcome by using a readily available heat balance program in combination with a least square solver. This data reconciliation system will provide the performance evaluation system with data that better reflects the plant’s current operating point, thus improving the performance evaluation system’s output and allowing for better plant optimization. Additionally, the reconciliation system can identify broken, biased or highly noisy sensors. These improvements can be obtained without installing additional precision sensors or putting unreasonable efforts into sensor calibration.

Copyright © 2005 by ASME

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