Conference article

Fast Simulations of Air Conditioning Systems Using Spline-Based Table Look-Up Method (SBTL) with Analytic Jacobians

Lixiang Li
Modelon Inc, USA

Jesse Gohl
Modelon Inc, USA

John Batteh
Modelon Inc, USA

Christopher Greiner
Ford Motor Company, USA

Kai Wang
Ford Motor Company, USA

Download articlehttps://doi.org/10.3384/ecp2016964

Published in: Proceedings of the American Modelica Conference 2020, Boulder, Colorado, USA, March 23-25, 2020

Linköping Electronic Conference Proceedings 169:7, p. 64-72

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Published: 2020-11-03

ISBN: 978-91-7929-900-2

ISSN: 1650-3686 (print), 1650-3740 (online)

Abstract

Refrigerant property calculation has a significant impact on the computational performance of vapor compression cycle simulations. In a previous publication, the authors have described the Modelica implementation of a Spline-Based Table Look-Up Method (SBTL) for fast calculation of refrigerant properties. This implementation demonstrated significant improvement in computational speed for a range of complex air conditioning system models. This paper describes further development of the SBTL method to allow the generation of analytic Jacobians. The new implementation with analytic Jacobian capability is tested on a range of air conditioning system models and demonstrates significant further improvement of computational speed when compared to the original SBTL model.

Keywords

Refrigerant Properties, Equation of State (EOS), Analytic Jacobians, Thermodynamic Modeling, Vapor Compression Cycle, Air Conditioning, Spline Interpolation, Computational Performance

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