CO<sub>2 </sub>refrigeration system with automated control optimization
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Solution Overview
Problem
CO2 refrigeration systems face challenges in optimizing control settings for non-design conditions, leading to inefficient operation and manual adjustments based on historical data, which can be time-consuming and incorrect.
Innovation Solution
A refrigeration system with a controller that automatically adjusts the switchover setpoint by switching between a gas bypass valve and a parallel compressor to manage pressure, using a switchover setpoint adjustment process and run delay timer to ensure sufficient refrigerant production for sustained operation, and a condenser approach controller to maintain optimal condenser approach temperature by adjusting fan speed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If generic default setpoints are used at commissioning, then the system can operate successfully under startup conditions, but the system cannot be optimized for non-design conditions which constitute over 95% of operation time
Solution Approach 1:
The system performs self-optimization by automatically analyzing historical performance data and adjusting setpoints without requiring manual intervention. The controller monitors system operation, identifies optimization opportunities, and implements setpoint changes autonomously, allowing the system to serve itself rather than requiring continuous human adjustment.
Solution Approach 2:
The system uses historical performance data as feedback to continuously improve its operation. By analyzing past system behavior and outcomes, the controller learns which setpoint adjustments lead to better performance and applies these lessons to future operations, creating a closed-loop optimization process.
2Productivity
If manual observation and adjustment of setpoints is performed, then some optimization can be achieved, but the process is time-consuming and may result in incorrect modifications
Solution Approach 1:
The system eliminates the need for manual observation and adjustment by implementing automated setpoint optimization. The controller independently monitors performance data, determines optimal setpoint values, and implements adjustments without human intervention, completely removing the time loss associated with manual processes.
Solution Approach 2:
The patent replaces the manual mechanical process of observing gauges, analyzing data, and physically adjusting setpoints with an automated electronic control system. The controller electronically monitors performance parameters and automatically modifies setpoints, substituting human cognitive and physical actions with automated computational processes.
3Ease of operation
If manual setpoint adjustment is performed without proper analysis, then quick changes can be made, but the modifications may be incorrect and not address the actual optimization needs
Solution Approach 1:
The system ensures accurate optimization by using feedback from historical performance data to guide setpoint adjustments. Rather than making random or guesswork changes, the controller analyzes actual system behavior and outcomes to determine precisely which setpoint modifications will improve performance, ensuring both speed and accuracy.
Solution Approach 2:
The system performs preliminary analysis of historical performance data before implementing any setpoint changes. By pre-evaluating the data and identifying the specific adjustments needed, the system ensures that when modifications are made, they are based on thorough analysis rather than hasty decisions, maintaining both speed and precision.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system achieves efficient operation by automatically optimizing control settings for non-design conditions, ensuring consistent refrigerant production and maintaining optimal condenser approach temperatures, thereby improving system performance and reducing manual intervention.
Implementation Method 1
The gas bypass valve is fluidly coupled to the outlet of the receiver and operable to control a pressure of the gas refrigerant in the receiver by controlling a first flow of the gas refrigerant from the receiver through the gas bypass valve
Implementation Method 2
The parallel compressor is fluidly coupled to the outlet of the receiver in parallel with the gas bypass valve and operable to control the pressure of the gas refrigerant in the receiver by compressing a second flow of the gas refrigerant from the receiver and discharging the compressed gas refrigerant into a discharge line
Implementation Method 3
The controller is configured to switch from operating the gas bypass valve to operating the parallel compressor to control the pressure of the gas refrigerant in the receiver in response to a value of a process variable crossing a switchover setpoint
Implementation Method 4
a condenser approach controller to maintain optimal condenser approach temperatures
Data Source
AI summary
A refrigeration system includes a receiver, a gas bypass valve, a parallel compressor, and a controller. The gas bypass valve and the parallel compressor are fluidly coupled to an outlet of the receiver in parallel and configured to control a pressure of a gas refrigerant in the receiver. The controller is configured to switch from operating the gas bypass valve to operating the parallel compressor to control the pressure of the gas refrigerant in the receiver in response to a value of a process variable crossing a switchover setpoint. The value of the process variable depends on an amount of the gas refrigerant produced by the refrigeration system. The controller is configured to automatically adjust the switchover setpoint in response to the amount of the gas refrigerant produced by the refrigeration system being insufficient to sustain operation of the parallel compressor.