Methods based on a semi-empirical model for simulating scroll compressors with HFC and HFO refrigerants.

Area of Science:

• Thermodynamics
• Mechanical Engineering
• Refrigeration Systems

Background:

• Scroll compressors are vital in refrigeration and air conditioning.
• Accurate modeling is crucial for performance prediction, especially with evolving refrigerants.
• Existing models require extensive calibration for refrigerant variations.

Purpose of the Study:

• To evaluate and compare three semi-empirical scroll compressor modeling methodologies.
• To assess model accuracy, refrigerant adaptability, and computational efficiency.
• To enhance existing models for improved physical background and prediction accuracy.

Main Methods:

• Developed an improved semi-empirical scroll compressor model.
• Proposed three distinct modeling methods: standard (full optimization), reference-based (partial optimization), and generalized (no optimization).
• Validated models using manufacturer data for two scroll compressors with HFCs, HFOs, and blends, using R134a as a reference.

Main Results:

• The standard model achieved high accuracy (e.g., <2.06% for mass flow rate).
• Alternative methods showed decreased accuracy but remained within acceptable ranges.
• The generalized method provided rapid predictions, significantly reducing computational time.

Conclusions:

• The standard model offers the highest accuracy for scroll compressor performance prediction.
• The generalized method is preferable when computational speed is prioritized over marginal accuracy loss.
• Model selection depends on the trade-off between accuracy requirements and available computational resources for different refrigerants.