Energy Management Network System for Cost Optimization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current energy management systems lack efficiency in managing energy generation, distribution, and usage, leading to difficulties in optimizing energy sources like electricity, water, and gas, resulting in suboptimal consumption and costs.
Innovation Solution
A network system comprising energy receiving and management units that adjust operations based on real-time energy rate information, allowing for controlled energy usage and distribution, and switching between different driving processes to reduce consumption during high-cost periods.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If energy receiving units operate without real-time energy rate information, then operational simplicity is maintained, but energy management efficiency and cost optimization deteriorate
Solution Approach 1:
The system segments energy management into multiple components: energy receiving units that execute local control decisions and an energy management unit that processes real-time energy rate information and generates control commands. This segmentation allows operational simplicity at the device level while achieving high management efficiency at the system level through distributed intelligence.
2Device complexity
If energy receiving units operate without real-time energy rate information, then operational simplicity is maintained, but energy usage cost deteriorates
Solution Approach 1:
The system implements feedback loops where energy management units continuously receive real-time energy rate information, analyze it, and generate control commands that are transmitted back to energy receiving units. This feedback mechanism enables dynamic adjustment of energy consumption based on current rates, achieving cost optimization without requiring complex operational changes at the receiving unit level.
3Loss of energy
If the energy receiving unit limits function based on high cost information, then energy usage cost is reduced, but functional versatility deteriorates
Solution Approach 1:
The system dynamically adjusts the operational state of energy receiving units based on real-time energy rate information. When energy rates are high, the energy management unit generates control commands that limit or shift energy-consuming functions to lower-cost periods. This dynamic control allows the system to reduce energy costs while maintaining functional versatility through time-shifting rather than permanent function removal.
4Productivity
If real-time energy rate information is processed and used for control, then energy management efficiency is improved, but system complexity deteriorates
Solution Approach 1:
The system introduces an energy management unit as an intermediary component that handles the complexity of processing real-time energy rate information and generating control commands. This intermediary layer shields energy receiving units from complexity while enabling efficient energy management through centralized intelligence and automated control decision-making.
Data Source
AI summary
A network system is provided. The network system includes: at least one component selected from an energy receiving unit receiving energy and an energy management unit managing the energy receiving unit. The energy receiving unit or the energy management unit receives energy rate related information; an energy usage amount or a usage rate of when the component is controlled on the basis of at least the energy rate related information is less than that of when the component is controlled without the basis of at least energy rate related information; if the energy rate related information is high cost information, a function of one component constituting the energy receiving unit is limited; and an operating time or an output of the energy receiving unit is adjusted in correspondence to the limited function of one component.