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Improving the Gordon-Ng Model and Analyzing Thermodynamic Parameters to Evaluate Performance in a Water-Cooled Centrifugal Chiller

Author

Listed:
  • Blanca Foliaco

    (Department of Mechanical Engineering, Universidad del Norte, Puerto Colombia 081001, Colombia)

  • Antonio Bula

    (Department of Mechanical Engineering, Universidad del Norte, Puerto Colombia 081001, Colombia)

  • Peter Coombes

    (School of Environment, Science and Engineering, Southern Cross University, Lismore NSW 2480, Australia)

Abstract

The Gordon-Ng models are tools that have been used to estimate and evaluate the performance of various types of chillers for several years. A 550 TR centrifugal chiller plant facility was available to collect data from July and September 2018. The authors propose rearranging variables of the traditional (GNU) model based on average electric consumption and through a thermodynamic analysis comparable to the original model. Furthermore, assumptions are validated. Then, by estimation of the parameters of the new model using least square fitting with field training data and comparing to the GNU model and Braun model (based on consumption), it was shown that the proposed model provides a better prediction in order to evaluate consumption of a centrifugal chiller in regular operation, by improving the coefficient of variation (CV), CV = 3.24% and R 2 = 92.52% for a filtered sub-data. Through an algorithm built from steady-state cycle analysis, physical parameters ( S gen , Q leak,eq , R ) were estimated to compare with the same parameters obtained by regression to check the influence of the interception term in the model. It was found that without an interception term, the estimated parameters achieve relative errors (ER) below 20%. Additional comparison between external and internal power prediction is shown, with CV = 3.57 % and mean relative error (MRE) of 2.7%, achieving better accuracy than GNU and Braun model.

Suggested Citation

  • Blanca Foliaco & Antonio Bula & Peter Coombes, 2020. "Improving the Gordon-Ng Model and Analyzing Thermodynamic Parameters to Evaluate Performance in a Water-Cooled Centrifugal Chiller," Energies, MDPI, vol. 13(9), pages 1-20, April.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:9:p:2135-:d:351723
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    References listed on IDEAS

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    1. Tomasz Halon & Ewa Pelinska-Olko & Malgorzata Szyc & Bartosz Zajaczkowski, 2019. "Predicting Performance of a District Heat Powered Adsorption Chiller by Means of an Artificial Neural Network," Energies, MDPI, vol. 12(17), pages 1-11, August.
    2. Lee, Tzong-Shing & Lu, Wan-Chen, 2010. "An evaluation of empirically-based models for predicting energy performance of vapor-compression water chillers," Applied Energy, Elsevier, vol. 87(11), pages 3486-3493, November.
    3. Lee, Tzong-Shing & Liao, Ke-Yang & Lu, Wan-Chen, 2012. "Evaluation of the suitability of empirically-based models for predicting energy performance of centrifugal water chillers with variable chilled water flow," Applied Energy, Elsevier, vol. 93(C), pages 583-595.
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