Control method for air conditioning system
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Solution Overview
Problem
Existing air conditioning systems struggle to optimize heat exchange capacity due to variations in fluid and gas flow rates and temperatures, leading to inefficient energy use and comfort issues, as current methods only calculate heat exchange amounts and do not provide real-time dynamic control.
Innovation Solution
A control method for air conditioning systems that calculates an average heat exchange amount and dynamic margin value using real-time operation information, adjusting the coil water inlet temperature and air handling unit settings to optimize energy use and comfort by comparing these values against preset conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If heat exchange capacity is calculated using maximum load designing condition, then the system can meet peak demand requirements, but energy consumption increases during partial load operation
Solution Approach 1:
The patent implements dynamic margin value calculation that continuously adjusts control strategies based on real-time heat exchange capacity assessment, transitioning from static maximum load design to dynamic partial load optimization, thereby reducing energy consumption while maintaining reliability
Solution Approach 2:
The system changes operational parameters by calculating dynamic margin values based on actual heat exchange capacity under varying load conditions, adjusting control signals according to the margin value to optimize energy usage different from fixed maximum load parameters
2Ease of operation
If only current heat exchange amount is calculated using inlet-outlet temperature difference and flow, then the calculation is simple, but subsequent optimized control cannot be provided
Solution Approach 1:
The patent performs preliminary action by calculating the dynamic margin value in advance, which represents the difference between actual and design heat exchange capacity. This pre-calculated margin information enables subsequent optimized control decisions without adding complex real-time computation during control execution
Solution Approach 2:
The dynamic margin value serves as an intermediary parameter that bridges simple heat exchange calculation and complex optimized control. It translates basic temperature and flow measurements into actionable control insights, enabling optimized control without requiring direct complex modeling
3Use of energy by moving object
If coil water inlet temperature is adjusted to meet varying heat exchange demands, then energy efficiency improves, but system stability may be compromised
Solution Approach 1:
The system implements feedback control by continuously monitoring heat exchange capacity, calculating the dynamic margin value, and adjusting coil water inlet temperature based on this feedback. The feedback loop compares actual performance against design conditions and makes corrective adjustments, maintaining stability while improving energy efficiency
Solution Approach 2:
The patent applies partial action by adjusting the coil water inlet temperature only to the extent necessary to optimize energy efficiency, using the dynamic margin value to determine the appropriate degree of adjustment rather than extreme temperature changes that would compromise stability
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This method enables real-time optimization of heat exchange capacity, reducing energy consumption and maintaining indoor comfort by dynamically adjusting the coil water inlet temperature and air handling unit settings based on calculated margin values, thereby improving the overall performance of the air conditioning system.
Implementation Method 1
An air conditioning device cools, dehumidifies or heats an indoor air conditioning area mainly through a coil heat exchanger
Implementation Method 2
heat exchange capacity is usually calculated and a specification is usually defined according to a maximum load designing condition
Data Source
AI summary
A control method for an air conditioning system includes: calculating an average heat exchange amount of a coil according to real-time operation information; setting a full-load air volume parameter and a full-load water volume parameter in a heat exchange model according to the real-time operation information and the heat exchange model, and calculating a full-load heat exchange amount; calculating a dynamic margin value based on the average heat exchange amount and the full-load heat exchange amount; determining whether the dynamic margin value is greater than a first preset condition or less than a second preset condition, so that the controller outputs a first control signal or a second control signal respectively to adjust a coil water inlet temperature; and when the dynamic margin value is less than the first preset condition and greater than the second preset condition, maintaining the current setting state.