Compressor Power Prediction for Vapor Compression Fault Detection
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Solution Overview
Problem
Vapor compression systems, such as air conditioners and heat pumps, face challenges in detecting refrigerant loss and condenser fouling efficiently, leading to energy inefficiency and delayed maintenance, as existing methods are not capable of reliably and quickly identifying these issues without disrupting the system.
Innovation Solution
A Compressor Power Input Predictor (CIPP) relation is established by monitoring compressor power and temperatures, allowing for continuous comparison to detect anomalies like refrigerant loss or fouling, enabling early corrective maintenance and optimizing energy consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional monitoring methods are used to detect refrigerant loss, then system operation continues uninterrupted, but detection reliability and speed deteriorate leading to delayed problem identification
Solution Approach 1:
The system continuously monitors compressor power consumption and compares it against expected values derived from a CIPP relationship. This closed-loop feedback mechanism enables real-time detection of deviations indicating refrigerant loss or condenser fouling, resolving the contradiction by providing both reliable detection and timely alerting without system interruption
Solution Approach 2:
The patent replaces traditional mechanical or manual inspection methods with an electronic monitoring system that uses power consumption analysis. By substituting physical inspection with electrical parameter monitoring, the system achieves continuous, reliable, and immediate detection of system anomalies
2Loss of energy
If no monitoring system is implemented, then system simplicity is maintained, but energy waste and maintenance delays increase
Solution Approach 1:
The monitoring system leverages existing compressor power measurements that are already taken for operational control. By utilizing this self-generated data and processing it through the CIPP relationship, the system achieves energy monitoring without requiring separate measurement devices, thus reducing energy waste while minimizing added complexity
Solution Approach 2:
The system serves multiple functions using a single monitoring framework: it detects refrigerant loss, identifies condenser fouling, monitors system performance, and provides early warning alerts. This multi-functionality approach reduces overall system complexity compared to implementing separate specialized sensors for each detection purpose
3Measurement precision
If frequent technician visits are performed for inspection, then detection accuracy improves, but productivity and operational efficiency deteriorate
Solution Approach 1:
The system provides continuous monitoring of compressor power consumption and continuous comparison against the CIPP relationship, ensuring that detection accuracy is maintained at all times without interruption. This continuous action replaces periodic manual inspections, maintaining measurement precision while eliminating downtime and improving operational efficiency
Solution Approach 2:
The patent introduces an intermediary electronic monitoring system that acts as a mediator between the physical system state and the technician. This intermediary continuously assesses system conditions through power analysis, providing accurate condition information without requiring frequent physical technician presence, thus maintaining detection accuracy while improving productivity
Data Source
AI summary
A method of automatically detecting an anomalous condition relative to a nominal operating condition in a vapor compression system. An expected input power function in the form of a hyperplane is calculated based on three temperature readings: an intake temperature from an intake area of the condenser unit, a return temperature from an intake area of an evaporator unit, and a supply temperature from a supply output area of the evaporator unit. The function produces an estimate of the expected input power consumed by the compressor unit, and this expected input power is compared with an actual input power measured from the compressor unit. If the expected input power deviates from the measured input power by more than a predetermined tolerance, an indication is stored and communicated that an anomalous condition, such as a refrigerant loss, condenser unit fouling, or a malfunctioning fan, exists in the vapor compression system.