Refrigeration cycle control device, and refrigeration cycle device
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Solution Overview
Problem
Conventional refrigeration cycle devices often perform unnecessary defrosting operations, which reduce efficiency and increase energy consumption, as they lack effective methods to predict and manage frosting conditions across multiple refrigerant systems.
Innovation Solution
A refrigeration cycle controller that includes an operation amount calculator and a state predictor, using an evaluation function with a penalty term to minimize defrosting operations by optimizing operation amounts across multiple refrigerant systems, thereby preventing excessive frosting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If defrosting operation is performed frequently to prevent frosting, then heat exchange efficiency is maintained, but energy consumption increases and unnecessary operations occur
Solution Approach 1:
The system performs preliminary defrosting operations based on predicted future frosting states before actual frosting problems occur. The prediction unit forecasts frosting conditions, and the control unit schedules defrosting operations in advance, preventing excessive frosting while avoiding unnecessary defrosting when frosting levels are acceptable.
Solution Approach 2:
The system implements a feedback mechanism where the prediction unit continuously monitors current operation amounts and environmental conditions, predicts future frosting states, and feeds this information back to the operation amount calculator. This closed-loop feedback enables dynamic adjustment of operation amounts to prevent frosting while optimizing energy consumption.
2Reliability
If operation amount is increased to prevent frosting, then heat exchange efficiency is maintained, but energy consumption increases
Solution Approach 1:
The system dynamically adjusts operation amounts based on real-time conditions and predicted future states. Instead of using fixed operation amounts, the operation amount calculator modifies compressor output and expansion valve opening degrees according to predicted frosting risks, enabling flexible optimization between heat exchange efficiency and energy consumption.
Solution Approach 2:
The system changes operational parameters (compressor frequency, expansion valve opening degree) based on predicted frosting conditions. The prediction unit forecasts frosting states, and the control unit adjusts parameters proactively, allowing the system to maintain heat exchange efficiency while minimizing energy consumption by avoiding unnecessary parameter adjustments.
3Reliability
If multiple refrigerant systems are operated independently, then each system can be controlled optimally, but overall energy consumption increases due to lack of coordination
Solution Approach 1:
The system merges the control of multiple refrigerant systems by implementing a unified prediction and control architecture. The prediction unit forecasts frosting states for all systems, and the operation amount calculator coordinates operation amounts across systems, enabling synergistic optimization that reduces overall energy consumption while maintaining individual system performance.
Data Source
AI summary
A refrigeration cycle state predicting device according to the present disclosed technique is a refrigeration cycle state predictor constituting a refrigeration cycle device, and includes a predictor to calculate a prediction value of a future state of the refrigeration cycle device on the basis of an input provisional operation amount array.


