Energy Efficiency Management System for Grid Stability
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Solution Overview
Problem
The existing energy management systems face challenges in efficiently managing energy consumption and maintaining grid stability, particularly due to increasing energy demand, grid congestion, and the need for more intelligent and environmentally friendly solutions, as traditional grid expansion methods can lead to environmental issues and reliability risks.
Innovation Solution
A computerized energy efficiency management system that uses smart meters, a database, and communication networks to optimize energy consumption based on pricing signals from the OASIS system, allowing for feedback loops between customer load and energy provider generation, enabling customers to make cost-effective choices about connecting to the grid and utilizing local energy assets, thereby reducing grid stress and the likelihood of power outages.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If traditional grid expansion methods are used to meet increasing energy demand, then energy supply capacity is improved, but environmental harm increases due to greenhouse gas emissions from coal and natural gas generators
Solution Approach 1:
The system changes the operational parameters of the grid by implementing real-time pricing signals and demand-response programs that alter consumer energy usage patterns. This shifts the grid from a supply-driven model to a demand-managed model, reducing the need for additional fossil fuel generation capacity while maintaining energy supply reliability.
Solution Approach 2:
The patent implements feedback mechanisms through smart meters and automated enrollment systems that provide real-time pricing information to consumers and automatically adjust energy consumption patterns. This closed-loop feedback system enables dynamic load management that reduces peak demand without requiring additional generation capacity, thereby avoiding greenhouse gas emissions from new power plants.
2Quantity of substance
If the grid operates at full capacity to meet increasing demand, then energy availability is improved, but grid reliability deteriorates due to vulnerability to disruptions and cascading failures
Solution Approach 1:
The system introduces dynamic load management capabilities that allow the grid to flexibly adjust energy consumption in real-time based on pricing signals and system conditions. This dynamic approach replaces the static full-capacity operation model, enabling the grid to maintain reliability by reducing non-critical loads during stress conditions while preserving essential services.
Solution Approach 2:
The patent segments energy loads into critical and non-critical categories, allowing differential management strategies. Non-critical loads are automatically reduced or shifted to off-peak periods through demand-response programs, while critical loads maintain priority access. This segmentation prevents cascading failures by isolating non-essential consumption during grid stress events.
3Loss of information
If centralized transmission grid monitoring is implemented through OASIS nodes, then grid status visibility is improved, but system complexity increases due to multiple regional nodes and transaction protocols
Solution Approach 1:
The system merges the functions of multiple regional OASIS nodes into a unified demand-response management platform that handles enrollment, pricing signal distribution, and load management centrally. This consolidation reduces the complexity of inter-node communications and transaction protocols while maintaining comprehensive grid visibility through integrated data aggregation from all regional nodes.
Data Source
AI summary
Exemplary embodiments of the computerized management system for controlling energy consumption for energy consumers using a smart meter may include a database that contains contract provisions for energy consumers. Furthermore, exemplary embodiments of the system include a database interface adapted to allow the system to access the contract provisions to optimize energy consumption based upon available energy. The system may also include a managing data component that is adapted to manage data between the database and the smart meter. In exemplary embodiments, a communication network connecting the system to the database and the smart meter may be included. Additionally, some exemplary embodiments of the system include a protocol converting component that is adapted to act as an interface for application programming or protocol converting.