Air-Conditioning Control with Real-Time Heat Load Correction
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Solution Overview
Problem
Existing air-conditioning control systems fail to adjust operation plans in real-time when actual heat loads deviate from predicted values, leading to inefficient energy usage and comfort level maintenance.
Innovation Solution
An air-conditioning control system that includes a heat load prediction unit, an operation plan creation unit, and an operation plan correction unit, which continuously monitor and adjust the operation plan based on actual temperature measurements to maintain a comfortable temperature range while minimizing power consumption and running costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the air-conditioning control system operates based on a previously created operation plan without real-time correction, then the system maintains simple control logic and stable operation, but the system fails to adapt when predicted heat load deviates from actual heat load, leading to energy inefficiency and comfort degradation
Solution Approach 1:
The patent implements feedback control by continuously monitoring actual room temperature and comparing it with predicted temperature. When deviations occur, the operation plan correction unit adjusts the operation plan in real-time. This feedback mechanism enables the system to adapt to heat load deviations while maintaining energy efficiency and comfort, resolving the contradiction between adaptability and control simplicity.
Solution Approach 2:
The patent transitions from static operation planning to dynamic operation planning by introducing real-time correction capabilities. The operation plan is no longer fixed but dynamically adjusted based on actual temperature measurements and heat load deviations. This dynamic approach allows the system to adapt to changing conditions while maintaining energy efficiency, resolving the contradiction between adaptability and control stability.
2Loss of energy
If the operation plan is corrected frequently in real-time, then the system improves energy saving performance and maintains comfortable temperatures, but the control system becomes more complex and requires more computational resources
Solution Approach 1:
The feedback control mechanism monitors temperature deviations and triggers corrections only when necessary, avoiding unnecessary computational overhead. The system compares actual temperature with predicted temperature and activates the operation plan correction unit only when deviations exceed acceptable thresholds, thus reducing energy consumption while maintaining comfort and avoiding excessive control complexity.
Solution Approach 2:
The patent adjusts control parameters dynamically based on actual operating conditions. The operation plan correction unit modifies operation parameters such as running time, power consumption, and temperature setpoints in response to measured temperature deviations. This parameter-based control approach achieves energy efficiency without requiring overly complex control algorithms, resolving the contradiction between energy saving and control complexity.
3Temperature
If the system maintains strict temperature control within comfortable range, then user comfort is ensured, but power consumption increases
Solution Approach 1:
The patent implements dynamic temperature control by adjusting the operation plan based on actual temperature measurements. Instead of maintaining a fixed temperature setpoint, the system dynamically adjusts operating parameters to maintain temperature within a comfortable range while optimizing energy consumption. This dynamic approach allows the system to balance comfort and energy efficiency, resolving the contradiction between temperature control and power consumption.
Solution Approach 2:
The operation plan correction unit changes operating parameters such as running time, power level, and temperature setpoints based on actual temperature deviations. When temperature is within the comfortable range, the system reduces power consumption by adjusting parameters. When temperature deviations occur, the system increases power consumption temporarily to restore comfort. This parameter-based dynamic control resolves the contradiction between temperature control and energy usage.
Data Source
AI summary
A heat load predictor predicts a change over time of a heat amount to be processed by air-conditioning equipment, an operation plan creator previously creates an operation plan of the air-conditioning equipment to reduce an evaluation index under a first restrictive condition that a total process heat load be maintained at a same level or within a range of a predetermined amount of difference and a room temperature be maintained within a predetermined comfortable temperature range, and an operation plan corrector corrects the operation plan during controlling the air-conditioning equipment based on the operation plan. If an actually measured temperature differs from a predicted temperature predicted by the operation plan creator at the time of creating the operation plan, the operation plan creator predicts a change over time of the temperature in the room, and corrects the operation plan to minimize the evaluation index under the first restrictive condition.