Pattern-Based Air Conditioner Power Control Across Facility Loads
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Solution Overview
Problem
There is a difficulty in systematically and efficiently managing power consumption across multiple facility devices in a wide area, as existing systems struggle to collectively control power usage effectively, leading to inefficiencies and increased costs.
Innovation Solution
An air conditioner system that analyzes power consumption patterns and adjusts operations based on input data to compute expected power usage, allowing for dynamic control to stabilize power consumption without unnecessary restrictions, by using a controller connected to power measuring devices and facility units.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by stationary object
If demand controller is connected to control air conditioner operation rate according to power consumption, then power consumption is controlled, but systematic management of multiple facility devices in wide area becomes difficult
Solution Approach 1:
The patent combines multiple facility devices (air conditioners, refrigerators, washing machines, etc.) into a single integrated management system. The server aggregates power consumption data from all connected devices and implements unified control, replacing individual demand controllers with a centralized platform that manages multiple devices through a single interface.
Solution Approach 2:
The management system is designed to be universal, supporting multiple types of facility devices with different functions. The server can identify device types through model numbers, extract appropriate power consumption patterns from databases, and apply suitable control strategies for each device type, enabling one system to manage diverse equipment effectively.
2Productivity
If collective control according to one set target value is implemented, then power management efficiency is improved, but user convenience and comfort may be compromised
Solution Approach 1:
The system applies differentiated control strategies to different devices based on their specific characteristics and usage patterns. Instead of uniform control, each facility device receives customized control parameters derived from its historical power consumption data and operational patterns, ensuring optimal performance while maintaining user comfort for each specific device.
Solution Approach 2:
The system pre-analyzes power consumption patterns and predicts future power usage before implementing control measures. By examining historical data and identifying usage patterns in advance, the system can proactively adjust operations to stay within power targets while maintaining comfort, rather than reactively restricting operations after targets are exceeded.
3Loss of energy
If power consumption is strictly controlled to meet target values, then energy efficiency is improved, but unnecessary restrictions on device operation are imposed
Solution Approach 1:
The control system dynamically adjusts operation parameters based on real-time power consumption monitoring and predicted patterns. Rather than imposing fixed restrictions, the system continuously adapts control strategies to current conditions, allowing maximum operational flexibility while staying within power targets. Control parameters are adjusted in real-time based on actual versus predicted power usage.
Solution Approach 2:
The system implements continuous feedback loops where actual power consumption is monitored, compared against predicted values and targets, and control parameters are adjusted accordingly. This closed-loop control ensures energy efficiency is maintained while minimizing restrictions, as the system learns from actual usage patterns and refines its control strategies to balance power management with operational needs.
Data Source
AI summary
An air conditioner and a method of controlling the same are provided. The air conditioner and the method analyze a power used pattern according to input power data, compute expected power according to the pattern to dynamically control power, so the power consumption is expected and controlled according to the pattern to stably control a power amount without repeating unnecessary control instead of collective and simple control according to a fixed target. Since an expected amount of the power consumption can be computed, power control is easy and energy consumption is reduced.