Airflow Regime Modeling for Adaptive Air-Conditioning Control
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Air-conditioning systems face inefficiencies due to inaccurate models that fail to adapt to changes over time, such as refrigerant leaks and corrosion, and neglect installation-specific characteristics like room size, leading to suboptimal energy consumption and performance.
Innovation Solution
A system and method that utilize a reduced order model (ROM) to accurately represent airflow dynamics in real-time, adapting to changes by selecting the appropriate regime and using dominant structures to control the air-conditioning system, allowing for real-time optimization and energy efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a detailed physical model of airflow dynamics is used to accurately represent system behavior, then measurement precision and reliability are improved, but device complexity and computational burden increase significantly
Solution Approach 1:
The patent extracts only the dominant structures and key parameters from the complete physical model of airflow dynamics. By identifying and retaining only the most influential factors that govern system behavior, the model achieves sufficient accuracy for control purposes while dramatically reducing computational complexity and enabling real-time application.
Solution Approach 2:
The patent creates a simplified copy or representation of the complex physical model by using reduced-order models that capture essential airflow dynamics. This copied model maintains the critical behavior needed for control decisions without requiring the full computational resources of the original detailed model.
2Device complexity
If a fixed model is used for airflow dynamics, then device complexity is reduced, but adaptability to changes over time deteriorates
Solution Approach 1:
The patent implements a dynamic model selection mechanism that adapts the airflow model based on current operating conditions. The system monitors regime indicators and automatically selects or adjusts the appropriate model parameters to match current system state, enabling the simple model structure to adapt to changing conditions such as refrigerant leaks or corrosion over time.
Solution Approach 2:
The patent incorporates feedback mechanisms where the system continuously monitors actual system performance and compares it with model predictions. Based on this feedback, the model parameters are adjusted or the regime is reidentified, allowing the model to adapt to gradual changes in system characteristics while maintaining computational simplicity.
3Adaptability or versatility
If real-time airflow measurements and model updates are implemented, then adaptability and performance optimization are improved, but use of energy and computational resources increase
Solution Approach 1:
The patent extracts only the essential measurements and model parameters needed for real-time control decisions. By focusing on dominant structures and key airflow characteristics rather than complete system state, the computational burden and energy consumption are significantly reduced while maintaining real-time adaptability and performance optimization capabilities.
4Loss of energy
If model-based control methods are used to maximize energy efficiency, then use of energy is optimized, but reliability deteriorates due to model inaccuracy over time
Solution Approach 1:
The patent employs feedback mechanisms where actual system performance is continuously monitored and compared with model predictions. When deviations indicate model inaccuracy due to system changes like refrigerant leaks or corrosion, the system updates model parameters or switches regimes, maintaining both energy efficiency optimization and reliability over the system operational lifetime.
Data Source
AI summary
A method determines values of the airflow measured in the conditioned environment during the operation of the air-conditioning system and selects, from a set of regimes predetermined for the conditioned environment, a regime of the airflow matching the measured values of the airflow. The method selects, from a set of models of the airflow predetermined for the conditioned environment, a model of airflow corresponding to the selected regime and models the airflow using the selected model. The operation of the air-conditioning system is controlled using the modeled airflow.