Modelling of Integrated Recycle Heat Exchangers

David D. Biruk*, Chiu Choi**, John Kang***
* Manager, Electric Production Reliability Engineering, Northside Generating Station, JEA, Jacksonville, Florida, USA.
** Professor, Electrical Engineering Program, University of North Florida, Jacksonville, Florida, USA.
*** Manager, Reliability Engineering (Retired), Northside Generating Station, JEA, Jacksonville, Florida, USA.
Periodicity:May - July'2017
DOI : https://doi.org/10.26634/jps.5.2.13617

Abstract

This paper describes the mathematical modelling of an Integrated Recycle Heat Exchanger in a 300 MW Circulating Fluidized Bed Boiler currently in operation in the Northside Power Generation Plant of JEA. Numerical data were collected from the operation. The data were used in the development and training of regression and neural network models for the Integrated Recycle Heat Exchanger. The performance of the regression and neural network models were compared using five different criteria. The findings were described in this paper. Minor differences between the performances of these models were also discussed.

Keywords

Integrated Recycle Heat Exchanger, Circulating Fluidized Bed Boiler, Regression Modeling, Neural Network Modelling

How to Cite this Article?

Biruk, D. D., Choi, C., and Kang, J. (2017). Modelling of Integrated Recycle Heat Exchangers. i-manager’s Journal on Power Systems Engineering, 5(2), 1-9. https://doi.org/10.26634/jps.5.2.13617

References

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