Network System Energy Rate Based Component Control
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Solution Overview
Problem
Current energy management systems lack efficiency in the generation, distribution, and use of energy sources, making it difficult to realize effective energy management.
Innovation Solution
A network system comprising energy receiving and management units that adjust energy usage based on energy rate information, allowing for efficient production, distribution, and storage of energy, and enabling in-house electrical products to be driven and controlled using energy information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If energy receiving units operate without energy rate information, then operation simplicity is maintained, but energy management efficiency deteriorates
Solution Approach 1:
The system implements feedback by continuously monitoring energy rate information and using it to automatically adjust the operation of energy receiving units. The energy management unit receives energy rate data, processes it, and generates control signals that feedback to the energy receiving units to optimize their operation based on current energy conditions.
Solution Approach 2:
The energy receiving units are equipped with self-service capabilities where they automatically adjust their own operation based on received energy rate information without requiring manual intervention. The units can autonomously decide when to operate, when to standby, and at what power level based on the energy rate data they receive.
2Loss of energy
If energy receiving units adjust operation based on energy rate information, then energy usage cost is reduced, but control complexity increases
Solution Approach 1:
The system segments the control function by separating the energy management unit from the energy receiving units. The management unit handles the complex tasks of receiving, processing, and analyzing energy rate information, while the receiving units focus on executing simplified control actions. This segmentation reduces the control complexity at each individual component while achieving overall optimization.
Solution Approach 2:
The system changes operational parameters of energy receiving units based on energy rate information. When energy rates are high, the system adjusts parameters such as operation timing, power consumption levels, and load distribution to minimize costs. This dynamic parameter adjustment enables cost reduction without requiring fundamentally complex control mechanisms.
3Productivity
If real-time energy monitoring is implemented, then energy usage optimization is improved, but system complexity increases
Solution Approach 1:
The energy management unit is designed with multi-functionality, serving as both a monitoring device and a control device. It simultaneously performs energy rate information reception, data processing, decision-making, and control signal generation. This universal approach consolidates multiple functions into a single unit, reducing overall system complexity while enabling real-time energy usage optimization.
Data Source
AI summary
Provided is a network system. The network system includes: at least one unit selected from an energy receiving unit receiving energy and an energy management unit managing the energy receiving unit. An energy usage amount or energy usage rate of the energy receiving unit is adjusted; an energy usage amount or usage rate when the unit is controlled based on information relating to at least an energy rate is less than that when the unit is controlled without the base of information relating to at least an energy rate; the energy receiving unit comprises a plurality of components; and an operation of one component among the plurality of components is controlled based on the energy rate related information.