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Optimization algorithms intended for self-tuning feedwater heater model
Conference proceeding   Open access  Peer reviewed

Optimization algorithms intended for self-tuning feedwater heater model

P. Czop, T. Barszcz and J. Bednarz
2013 INTERNATIONAL CONFERENCE ON MANUFACTURING, OPTIMIZATION, INDUSTRIAL AND MATERIAL ENGINEERING (MOIME 2013), Vol.46(1), pp.12016-7
IOP Conference Series-Materials Science and Engineering
01/01/2013
DOI: https://doi.org/10.1088/1757-899X/46/1/012016

Abstract

Engineering Engineering, Industrial Engineering, Manufacturing Materials Science Materials Science, Multidisciplinary Operations Research & Management Science Science & Technology Technology
This work presents a self-tuning feedwater heater model. This work continues the work on first-principle gray-box methodology applied to diagnostics and condition assessment of power plant components. The objective of this work is to review and benchmark the optimization algorithms regarding the time required to achieve the best model fit to operational power plant data. The paper recommends the most effective algorithm to be used in the model adjustment process.
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https://doi.org/10.1088/1757-899X/46/1/012016View
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