HVAC&R Compressor Power Modeling for Efficiency Degradation Detection
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Solution Overview
Problem
HVAC&R systems face inefficiencies due to refrigerant leakage and short-term faults like fan motor failures and evaporator frosting, which are often undetected until significant damage occurs, leading to high energy costs and potential hazards.
Innovation Solution
A dynamic compressor input power parameter model that continuously updates to predict expected power parameters, allowing for real-time detection of deviations and issuing warnings or automatic shutdowns for both short-term and long-term degradations, such as refrigerant loss.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional monitoring methods are used, then system simplicity is maintained, but detection precision and reliability of efficiency degradation are insufficient
Solution Approach 1:
The patent replaces complex mechanical monitoring systems with an information-processing approach. A processor receives operational data from sensors and uses algorithms to detect efficiency degradation, substituting physical monitoring mechanisms with computational analysis of electrical and operational parameters.
Solution Approach 2:
The monitoring system is designed to detect multiple types of efficiency degradation (refrigerant loss, faults, performance decline) using a single integrated processor and sensor system, making the system universally applicable to various HVAC&R system configurations and degradation modes.
2Reliability
If continuous monitoring is implemented, then reliability of detection is improved, but use of energy increases
Solution Approach 1:
The system uses the HVAC&R system's own operational data (electrical currents, voltages, temperatures) to monitor its own efficiency. The monitoring leverages existing operational parameters without requiring additional energy-intensive sensors or external monitoring infrastructure, making the system self-sufficient.
Solution Approach 2:
The system continuously analyzes electrical parameters (currents and voltages) which are already present in the system operation, rather than continuously activating additional sensors. This partial monitoring approach provides reliable detection while minimizing additional energy consumption.
3Loss of substance
If early detection of refrigerant loss is implemented, then loss of substance is reduced, but device complexity increases
Solution Approach 1:
The patent replaces complex mechanical refrigerant monitoring systems with an electrical parameter analysis approach. The processor detects refrigerant loss by analyzing changes in electrical currents and voltages across compressor motors and fans, substituting physical refrigerant level sensors with electrical field measurements.
Solution Approach 2:
The system uses electrical parameters (currents and voltages) as intermediary indicators to detect refrigerant loss. Rather than directly measuring refrigerant levels, the system monitors the electrical signatures that result from refrigerant quantity changes, using electricity as an intermediary measurement medium.
4Productivity
If real-time fault detection is implemented, then productivity is improved through timely response, but device complexity increases
Solution Approach 1:
The patent replaces complex mechanical fault detection systems with computational analysis of electrical parameters. The processor continuously monitors currents and voltages to detect anomalies indicating faults, substituting mechanical diagnostic tools with algorithm-based electrical signature analysis.
Solution Approach 2:
The system implements continuous feedback monitoring where the processor receives real-time electrical parameter data, compares it against expected operational ranges, and immediately detects deviations indicating faults or efficiency degradation, enabling timely corrective action.
Data Source
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AI summary
An HVAC&R monitor detects short-term and long-term system efficiency degradations by modeling either compressor input power or current. The model is continuously updated with new or recent temperature and power parameter measurements reflecting the most up-to-date operating condition of the system. Short- term system degradations are detected instantaneously by comparing compressor power or current as predicted by the model against measured power or current usage. Long- term system degradations are detected over time by monitoring the sensitivity of the compressor power or current usage to evaporator and/or condenser fluid temperatures. An appropriate warning and/or signal may be issued if system efficiency degradation is detected.