Refrigerant Charge Loss Detection Using Mode-Specific Models
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Refrigerant charge loss in vapor compression systems leads to reduced cooling capacity and potential compressor failure, with existing methods failing to accurately detect the amount of charge loss in non-critically charged systems with wide set point and ambient ranges.
Innovation Solution
A system and method using a controller to determine the mode of operation of a compressor and apply specific models to operating condition parameters to detect refrigerant charge loss, including percentage of loss and estimated modulation percentage, with sensors measuring various temperatures and parameters to generate alerts when charge loss exceeds thresholds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing loss of charge detection methods are used, then the system can detect refrigerant charge loss, but the detection accuracy is insufficient for non-critically charged systems with wide set point and ambient ranges
Solution Approach 1:
The detection system segments the operating range into multiple modes (full capacity and partial capacity operations) and applies different loss of charge detection models for each mode. This segmentation allows accurate detection across wide set point and ambient ranges by selecting the appropriate model based on current operating conditions.
Solution Approach 2:
The system dynamically selects and switches between different detection models based on the compressor's operating mode. The controller determines the current mode and applies the corresponding model, enabling the system to adapt to varying operating conditions while maintaining high detection accuracy.
2Measurement precision
If multiple detection models are applied for different operating modes, then the detection accuracy improves, but the system complexity increases
Solution Approach 1:
The controller dynamically determines the compressor operating mode and selectively applies appropriate detection models. This dynamic approach maintains high detection accuracy while managing complexity by only activating the necessary model for current conditions rather than running all models simultaneously.
Solution Approach 2:
The system performs preliminary determination of the operating mode before applying detection models. This preliminary classification simplifies the overall process by organizing the detection logic into clear sequential steps, reducing controller complexity while maintaining accuracy.
Data Source
Figure 1
Figure 2
Figure 3
AI summary
Systems and methods that detect a loss of charge associated with a climate controlled environment are described in the present disclosure. In various embodiments, a controller receives operating condition parameters associated with a climate-controlled environment. The controller determines whether a compressor is operating in a first mode of operation or a second mode of operation. The controller applies a first model to the operating condition parameters when the compressor is operating in the first mode of operation to represent a loss of charge associated with the climate-controlled environment and applies a second model to the operating condition parameters when the compressor is operating in the second mode of operation to represent the loss of charge associated with the climate-controlled environment.