HVAC Control Parameter Tuning Through Thermal-Electrical Simulation
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Solution Overview
Problem
Current HVAC systems face inefficiencies in energy consumption and reliability due to suboptimal regulation parameters, often adjusted by non-experts using habit rather than controlled processes, leading to energy losses and potential equipment damage.
Innovation Solution
A method involving steady-state and dynamic simulations of HVAC systems using mathematical models to determine optimal regulation parameters, allowing for the programming of controllers without requiring expertise in automatic control, and implementing advanced control techniques like Predictive Functional Control (PFC).
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If regulation parameters are adjusted by users based on habit rather than expert knowledge, then the ease of operation is improved, but the energy efficiency and reliability deteriorate
Solution Approach 1:
The system performs self-diagnosis and self-optimization by automatically determining regulation parameters through simulation and analysis of system behavior, eliminating the need for user expertise while achieving optimal energy efficiency
Solution Approach 2:
The patent replaces manual expert adjustment with automated computational methods including mathematical modeling, simulation, and algorithmic parameter determination to objectively optimize regulation parameters
2Loss of energy
If advanced control algorithms like predictive control are implemented, then the energy optimization is improved, but the device complexity increases
Solution Approach 1:
The system performs preliminary simulation and analysis to determine optimal regulation parameters before actual operation, storing these parameters for direct implementation without requiring complex real-time computational resources
Solution Approach 2:
The patent introduces an intermediary software tool that bridges the gap between advanced control theory and practical implementation, handling the complexity of simulations and calculations while providing simple interfaces and automated parameter deployment
3Ease of operation
If regulation parameters are set by habit rather than controlled processes, then the ease of operation is improved, but the reliability deteriorates due to regulation difficulties
Solution Approach 1:
The system incorporates feedback mechanisms through simulation that analyze system responses to parameter changes, identifying optimal settings that prevent regulation difficulties such as overruns, pumping phenomena, and instabilities
Solution Approach 2:
The patent performs preliminary simulation and analysis to determine reliable parameter settings before deployment, preventing regulation problems rather than reacting to them during operation
Data Source
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AI summary
The invention relates to a method for determining parameters for controlling an HVAC system comprising heating elements (20) to be controlled by control loops (26), said method comprising the steps of: simulating, in a permanent mode, the thermal and electrical behavior of the modeled HVAC system, calculating the power consumption of the modeled HVAC system for various values of physical quantities and various values of set points to be applied at the inputs (30) of the control loops; determining values of the set points for which the power consumption of the modeled HVAC system is the lowest; simulating, in a dynamic mode, the thermal and electrical behavior of the modeled HVAC system, calculating the values of the output physical quantities of the heating elements; calculating the values of the parameters of the control loops from the values of the output physical quantities of the heating elements and for each of the control loops.