Air Conditioner Part-Load Simulation for Humidity and Setpoint Control
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Solution Overview
Problem
Existing systems lack the capability to efficiently simulate and evaluate air conditioner performance at various part-load conditions, leading to difficulties in selecting optimal operating parameters to achieve desired set point conditions.
Innovation Solution
A system utilizing a processor and memory device that receives condition parameters and part-load components for HVAC devices, determines sufficiency based on preestablished criteria, and generates operating parameters such as leaving air dew point temperature, dry bulb temperature, and wet bulb temperature.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If existing simulation systems are used to evaluate air conditioner performance, then general cooling system simulation is possible, but part-load condition evaluation capability is insufficient
Solution Approach 1:
The patent applies parameter changes by systematically varying operating conditions (load ratios, outdoor temperatures, humidity levels) to simulate different part-load scenarios. The simulation model adjusts key parameters such as refrigerant mass flow rate, compressor speed, and heat exchanger effectiveness to represent real part-load operating conditions, enabling accurate performance evaluation across the full operating range rather than only full-load conditions.
Solution Approach 2:
The patent implements dynamics by creating a dynamic simulation model that captures transient behavior and varying operating conditions. The system dynamically adjusts component performance based on changing load conditions, outdoor environmental parameters, and system control responses, allowing realistic representation of air conditioner behavior under diverse part-load scenarios rather than static full-load conditions.
2Loss of information
If comprehensive operating parameters are generated for all condition parameters, then complete performance evaluation is achieved, but computational complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the air conditioner system into discrete functional components (compressor, condenser, evaporator, expansion device, fans) and evaluating each component's performance separately under different operating conditions. This modular approach allows comprehensive system-wide performance assessment while managing computational complexity through structured component-level analysis and standardized performance metrics for each segment.
3Productivity
If operating parameters are generated without sufficient part-load components, then simulation speed is maintained, but performance accuracy deteriorates
Solution Approach 1:
The patent implements feedback mechanisms where simulation results from component performance evaluations are fed back to adjust operating parameters and control strategies. The system uses performance data from part-load simulations to refine compressor control, heat exchanger operation, and system configuration, creating an iterative optimization process that improves both accuracy and efficiency by learning from simulation outcomes.
Data Source
AI summary
A system generates performance data, including supply air temperature and supply air dew point temperature, of an air conditioning device when provided with parameters of the air conditioning device, such as specifications of individual components of the air conditioning device. The system automatically modulates operating parameters for the simulated air conditioning device in order to achieve set point conditions and subsequently provides suggested operating parameters for the air conditioning device to enable the air conditioning device to achieve a set point temperature, a set point relative humidity, and/or a set point dew point temperature at one or more part-load conditions. In one embodiment, the system automatically calibrates the air conditioning device to operate the device to achieve user-defined setpoints.