Comparison of different modeling methods for a single effect water-lithium bromide absorption chiller

摘要

This paper presents a comparison of different absorption chiller modeling methods. Models were validated using experimental data of a single effect water-lithium bromide absorption chiller. Six of the models considered are empirically based ones and the last considered model is a physical one (PhM). The empirical modeling methods compared are: the adapted Gordon-Ng model (GNA), the characteristic equation model (ΔΔT) and the adapted characteristic equation model (ΔΔT’), the multivariable polynomial model (MPR), the artificial neural network model (ANN) and the Carnot function model (CFM). These models are used to predict the effects of external water operating condition on cooling capacity (QE) and thermal COP (COPth). Models parameters are calculated using a constant methodology and accuracy evaluation of each model is done in the paper through comparisons between numerical and experimental results.