Network Component Control Using Energy Price Signals
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Solution Overview
Problem
Current energy management systems lack efficiency in the generation, distribution, and use of energy sources like electricity, water, and gas, making it difficult to realize effective management and utilization.
Innovation Solution
A network system component that includes a communication device for receiving energy information, a component driver part powered by supplied energy, and a control part that recognizes high or low price-related information to adjust the operation of the component driver accordingly, enabling efficient energy production, usage, and distribution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If energy sources are simply supplied and used without management, then ease of operation is maintained, but energy management efficiency deteriorates
Solution Approach 1:
The system segments energy management into multiple functional modules: communication device for receiving energy information, control part for processing and recognizing price-related information, and component driver part for executing control actions. This segmentation allows complex energy management to be achieved through coordinated simple modules, improving management efficiency while keeping individual components manageable.
Solution Approach 2:
The component driver part autonomously adjusts its operation based on price-related information recognized by the control part, without requiring continuous human intervention. The system automatically responds to energy price fluctuations by controlling the component driver part, enabling self-service energy optimization that improves efficiency without proportionally increasing operational complexity.
2Loss of energy
If energy usage is optimized based on price fluctuations, then energy efficiency is improved, but control complexity increases
Solution Approach 1:
The control part dynamically adjusts the operation of the component driver part based on real-time price-related information. The control strategy changes adaptively according to whether high or low price-related information is recognized, allowing energy efficiency to be optimized without requiring overly complex static control systems. The dynamic adjustment enables the system to respond flexibly to varying energy prices.
Solution Approach 2:
The communication device continuously receives energy information including price-related data, which is fed back to the control part for processing. This feedback loop enables the system to make informed control decisions based on current energy prices, improving energy efficiency by operating during low-price periods while maintaining relatively simple control logic through automated feedback processing.
3Productivity
If real-time energy information is received and processed, then energy distribution efficiency is improved, but information processing requirements increase
Solution Approach 1:
The control part extracts only the essential price-related information from the comprehensive energy information received by the communication device. Rather than processing all incoming data, the system selectively identifies and acts on price-related signals, reducing information processing load while maintaining energy distribution efficiency. This extraction approach allows the system to focus on critical decision-making data.
Data Source
AI summary
Provided is a component for a network system, which includes a communication device for receiving at least energy information, a component driver part driven by supplied energy, and a control part that recognizes high price-related information or low price-related information, based on the energy information received by the communication device and that controls the component driver part. A method of controlling the component driver part when the high price-related information is recognized is different from a method of controlling the component driver part when the low price-related information is recognized.