Method for predicting air-conditioning load on basis of change in temperature of space and air-conditioner for implementing same
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Solution Overview
Problem
Conventional air conditioning systems lack a power-saving function as they continuously operate without adjusting their load based on room temperature changes, leading to inefficient energy usage.
Innovation Solution
A learning-based air conditioning device that senses temperature or humidity changes and calculates an optimal operation mode using a central controller to adjust the air discharge part and outdoor unit, allowing for lighter or heavier loads based on sensed values, even when the system is paused, to optimize energy usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the indoor unit operates constantly to maintain room temperature, then the room temperature control reliability is improved, but the energy consumption increases
Solution Approach 1:
The system performs preliminary action by sensing temperature changes during the suspended section (when air discharge is stopped) before the next operation begins. The sensor detects room temperature variations during this idle period, and the controller uses this data to predict the required cooling or heating load in advance, allowing the air conditioner to start operation with optimized load settings rather than operating constantly at fixed capacity.
Solution Approach 2:
The system implements dynamics by making the operation mode adjustable and adaptive. Instead of constant operation, the controller dynamically selects between different operation modes (first operation mode with standard load, second operation mode with reduced load, or third operation mode with increased load) based on the temperature change characteristics detected during suspended periods. This allows the system to adapt its energy consumption and cooling/heating capacity to match actual room conditions.
2Ease of operation
If the air conditioner operates in conventional cooling or heating mode, then the air conditioning function is provided, but the power saving capability is lost
Solution Approach 1:
The system implements feedback by continuously monitoring room temperature changes during suspended sections and using this information to adjust operation modes. The sensor provides feedback about temperature drift during idle periods, and the controller processes this feedback to determine the appropriate load level for the next operation cycle, creating a closed-loop control system that optimizes energy usage based on actual thermal conditions.
Solution Approach 2:
The system applies parameter changes by varying the operation mode parameters (load level, runtime duration) based on detected temperature changes. Instead of operating at fixed parameters, the controller adjusts the cooling/heating load parameter dynamically - selecting from first operation mode (standard load), second operation mode (reduced load for power saving), or third operation mode (increased load for rapid temperature correction) - thereby reducing energy waste while maintaining comfort.
Data Source
AI summary
The present disclosure relates to a method of predicting air conditioning load based on room temperature and an air conditioner implementing the method, the air conditioner according to one embodiment may include a sensor configured to sense a room temperature or humidity in a suspended section in which an air discharge part is not operated; and a central controller implemented to control the air discharge part and an outdoor unit based on operation mode information that is calculated from a value sensed by the sensor, when the air discharge part and the outdoor unit are switched on.