Summary
Dynamic behaviors be observed on a heat pump dryer to maximize drying performance under various condition through the change of compressor frequency. In order to optimize the drying performance, it is necessary to predict the dynamic behavior of air side and refrigerant side together. However, as the refrigeration cycle is optimized by a constant state condition of air at the design stage, it has less chance to implement design parameters to air flow path. In the study, simulation has been done to refrigerant and air side simultaneously under a concept of model based environment. There was no issues for integrated model because the geometrical model(3D) for air side converted to a reduced order model to make shorten the simulation time. The model for heat exchangers took a finite volume method that calculates the governing equations for several segments. The compressor model came from the analytical models for gas compression in control volumes. For the model for drum, it was predicted through the artificial neural network(ANN) learned by the test data set from experimental set up. In order to verify the system model that integrates the refrigeration and air cycle including drum model in the DymolaⓇ environment, the dynamic characteristics data of the dryer for 2 ~ 8 kg drying load conditions were acquired. The result of numerical study shows reasonably low errors when compared with the experimental data. The pressure of refrigeration cycle and drying time at the drying section showed an error of 10% or less.
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Details
- Original title: The dynamic behaviors on drying performance of heat pump dryer using a reduced order model.
- Record ID : 30031113
- Languages: English
- Subject: Technology
- Source: 14th IEA Heat Pump Conference 2023, Chicago, Illinois.
- Publication date: 2023/05/15
Links
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Indexing
- Themes: Heat pumps techniques
- Keywords: Modelling; Simulation; CFD; Dryer; Heat pump; Artificial neural network; Thermodynamic cycle
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- Source: 14th IEA Heat Pump Conference 2023, Chicago, Illinois.
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