Heat Exchanger COP Learning Algorithm for Adaptive Efficiency Control
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Solution Overview
Problem
Heat exchangers, such as those used in HVAC systems, often operate below a predetermined minimum coefficient of performance due to factors like aging equipment, moisture, and icing, leading to inefficiencies and the need to switch to alternate sources, which can be costly and inconvenient.
Innovation Solution
A learning algorithm is employed to update lookup tables for coefficients of performance by measuring actual performance and comparing it to table values, allowing for corrective actions and modifications to ensure operation above a threshold, thereby improving the accuracy and reliability of heat exchanger control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a lookup table with predetermined COP values is used for heat exchanger control, then the system can operate with simple control logic, but the COP values become inaccurate over time due to equipment ageing, moisture, and icing
Solution Approach 1:
The system implements feedback by continuously measuring actual COP during heat exchanger operation and using this measured data to update and correct the lookup table values. The controller compares measured COP with tabulated COP values and adjusts the lookup table to reflect actual performance, ensuring accuracy despite equipment degradation over time.
Solution Approach 2:
The heat exchanger system performs self-calibration by automatically updating its own lookup table using measured performance data. The controller autonomously corrects the COP values in the lookup table based on actual measurements, eliminating the need for external recalibration or manual intervention to maintain accuracy.
2Use of energy by moving object
If the heat exchanger operates at minimum COP to maintain efficiency, then energy consumption is reduced, but operation becomes infeasible under certain supply and return temperature conditions
Solution Approach 1:
The system dynamically adjusts the minimum COP threshold based on actual measured performance and current operating conditions. Rather than using a fixed minimum COP value, the controller adapts the threshold to match actual equipment performance, allowing feasible operation across a wider range of supply and return temperature conditions while maintaining energy efficiency.
Solution Approach 2:
The system changes the COP parameter by updating the lookup table values to reflect actual measured performance. This allows the minimum COP threshold to be adjusted according to real equipment conditions, enabling operation in temperature ranges where predetermined values would have prevented feasible operation.
3Measurement precision
If the lookup table is updated with measured COP values to improve accuracy, then future operation benefits from precise COP data, but the system requires additional measurement and processing capabilities
Solution Approach 1:
The system uses its existing operational sensors and controllers to measure COP and update the lookup table, turning routine operational data collection into a dual-purpose function that both controls operation and calibrates performance data without requiring separate dedicated measurement systems.
Solution Approach 2:
The system employs feedback using already-available operational measurements to continuously refine the lookup table. The same sensors used for basic control provide the data needed for COP measurement and lookup table updates, minimizing additional hardware requirements while achieving high measurement precision.
Data Source
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AI summary
Optimum operation of a heat exchanger. A method of operating a heat exchange assembly (1) having a compressor (2), a first circuit (3; 5) having first (4a; 6a) and second temperature sensors (4b; 6b), a first flow meter (7; 9), a second circuit (5; 3) having a third temperature sensor (6a; 4a), the heat exchange assembly (1) having a power meter selected from a compressor meter (8) or from a second circuit meter comprising the third temperature sensor (6a; 4a), a fourth temperature sensor (6b; 4b), and a second flow meter (9; 7), the method comprising: reading a first temperature signal from a sensor selected from the first temperature sensor (4a; 6a) or the second temperature sensor (4b; 6b), reading a second temperature signal from the third temperature sensor (6a; 4a); determining a first expected coefficient of performance from the first and second temperature signals; starting the compressor (2).