Physics-Based Dynamic Modeling of Hydro Generator Cooling System Using Plant Data, Empirical Heat Transfer Correlations and Reduced Parameter Estimation

Hydro-generator cooling arrays are sparsely instrumented, limiting estimation of heat-exchanger (HX) parameters from plant data for thermal modeling. This study develops and validates a 48-state quasi-linear parameter-varying (qLPV) gray-box model for twelve fin-and-tube air-to-water HXs in a hydro generator cooling system. Four equivalent three-HX groups use four serial cells each, and manufacturer-specified geometry and empirical correlations provide operating-dependent conductance values rather than fitted parameters. Of 19 coefficients, eleven are fixed, and eight effective group coefficients are estimated. Rated predictions reproduce manufacturer outlet temperatures within 0.6 °C, providing catalog-consistency verification. Coefficient calibration uses a 4.03 h window from a 48,241-sample (13.4 h) plant record. With the estimated coefficients frozen, combined filtered root-mean-square error (RMSE) values on the full record are 0.183 and 0.179 °C on the north and south sides of the cooler array. Multistart Nelder–Mead and direct four-dimensional simplicial homology global optimization (SHGO) yield numerically equivalent coefficient estimates. The resulting model is computationally economical and provides a physics-based plant-specific baseline for record replay, recalibration and prospective monitoring.

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Publication Details

Journal
Dynamics
Published
2026-10-07
DOI
https://doi.org/10.3390/dynamics6040043
Primary Topic
Control Systems and Identification
Type
article
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article

Physics-Based Dynamic Modeling of Hydro Generator Cooling System Using Plant Data, Empirical Heat Transfer Correlations and Reduced Parameter Estimation

Pavan Kumar Vaddi, Wenbo Jia, Hong Wang
Dynamics
Control Systems and Identification
article

Physics-Based Dynamic Modeling of Hydro Generator Cooling System Using Plant Data, Empirical Heat Transfer Correlations and Reduced Parameter Estimation

Pavan Kumar Vaddi, Wenbo Jia, Hong Wang
article en

Abstract

Hydro-generator cooling arrays are sparsely instrumented, limiting estimation of heat-exchanger (HX) parameters from plant data for thermal modeling. This study develops and validates a 48-state quasi-linear parameter-varying (qLPV) gray-box model for twelve fin-and-tube air-to-water HXs in a hydro generator cooling system. Four equivalent three-HX groups use four serial cells each, and manufacturer-specified geometry and empirical correlations provide operating-dependent conductance values rather than fitted parameters. Of 19 coefficients, eleven are fixed, and eight effective group coefficients are estimated. Rated predictions reproduce manufacturer outlet temperatures within 0.6 °C, providing catalog-consistency verification. Coefficient calibration uses a 4.03 h window from a 48,241-sample (13.4 h) plant record. With the estimated coefficients frozen, combined filtered root-mean-square error (RMSE) values on the full record are 0.183 and 0.179 °C on the north and south sides of the cooler array. Multistart Nelder–Mead and direct four-dimensional simplicial homology global optimization (SHGO) yield numerically equivalent coefficient estimates. The resulting model is computationally economical and provides a physics-based plant-specific baseline for record replay, recalibration and prospective monitoring.

DynamicsVol. 6(4)
Oak Ridge National Laboratory (US)
Openalex Percentile: Top 16%
Control Systems and Identification
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