Home Energy Management With Real-Time Pricing Response
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Solution Overview
Problem
Current energy management systems lack transparency and proactive measures for residential energy consumption, relying on monthly bills and passive displays, and often lack real-time data infrastructure, leading to inefficient energy use and inconvenience for consumers.
Innovation Solution
An energy management system that includes a database for site report data, a processor to analyze and manage energy usage, and a network of devices such as smart thermostats and appliances, using wireless communication protocols to optimize energy consumption based on real-time pricing and user proximity, enabling proactive scheduling and demand response.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If passive energy display technologies are provided to show current energy prices, then consumers gain energy price awareness, but energy consumption is not actively reduced because manual curtailment is required
Solution Approach 1:
The energy management system automatically performs energy conservation actions without requiring manual user intervention. The system monitors energy consumption patterns, analyzes pricing signals, and autonomously adjusts appliance operations to reduce energy usage during high-cost periods, transforming passive information display into active self-managing energy optimization
Solution Approach 2:
The system implements closed-loop feedback by continuously monitoring both energy consumption data and real-time pricing information, then using this combined feedback to automatically adjust energy usage patterns. This creates a dynamic response mechanism where energy management actions are continuously optimized based on current conditions without requiring manual user input
2Reliability
If demand response systems force curtailment on customers to manage load levels, then utility companies can balance energy demand, but end users experience inconvenience
Solution Approach 1:
The system dynamically adjusts energy management strategies based on user preferences, historical behavior patterns, and real-time conditions. Rather than forcing fixed curtailment schedules, the system adapts its control actions to minimize user inconvenience while achieving demand response goals, allowing flexible optimization of both reliability and user convenience
Solution Approach 2:
The system performs preliminary actions by pre-cooling or pre-heating spaces, pre-charging batteries, or pre-scheduling appliance operations during low-cost energy periods before peak demand occurs. This anticipatory approach reduces the need for forced curtailment during high-demand periods, maintaining user comfort while achieving demand balance
3Measurement precision
If smart meters are deployed to measure and report consumption data, then real-time energy measurement capability is provided, but lack of communication and analytical infrastructure prevents effective utilization
Solution Approach 1:
The system merges multiple functions including smart metering, data communication, analytical processing, and automated control into an integrated energy management platform. By combining these previously separate infrastructure components into a unified system, real-time measurement capabilities are effectively utilized without requiring proportionally complex separate infrastructure for each function
Solution Approach 2:
The energy management system is designed as a multi-functional platform that performs measurement data collection, real-time analysis, predictive modeling, automated control, and user interface functions through a single integrated architecture. This universal system handles multiple tasks that would otherwise require separate specialized infrastructure components
4Ease of operation
If consumers rely on monthly bills to evaluate energy consumption, then billing simplicity is maintained, but energy awareness and transparency into consumption causes are lost
Solution Approach 1:
The system segments total energy consumption into detailed categories by appliance, time period, cost driver, and usage pattern. Instead of presenting a single monthly total, the system breaks down consumption into granular components that provide transparency into specific causes and sources of energy usage while maintaining clear, organized presentation
Data Source
AI summary
An energy management system includes a controller disposed at a site. The controller is in communication with a gateway with the gateway being capable of establishing a broadband connection with a first communication network. The gateway is configured to communicate with at least one remote server for receiving energy management information located at the at least one remote server. The controller is configured to initiate communication with the at least one remote server at a first periodic interval to request receipt of the energy management information over the first communication network.