Multi-Network Energy Interface for Automated Demand Response
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Solution Overview
Problem
Current energy management systems are passive and lack transparency, failing to provide consumers with real-time energy consumption data and analytical infrastructure for utility companies to manage energy demand effectively, leading to inefficient energy use and inconvenience to end-users.
Innovation Solution
An energy management system that includes a database for storing site report data, a processor for analyzing energy usage, and a network of devices such as smart thermostats and appliances, which can detect temperature set-points, operating modes, and schedule energy use based on seasonal profiles and user proximity, enabling real-time energy management 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 consumers still lack automated energy management and must manually curtail usage
Solution Approach 1:
The energy management system automatically manages energy consumption without requiring manual user intervention. The system includes an energy management device that autonomously schedules energy usage, controls appliances, and optimizes consumption based on pricing signals and user preferences, eliminating the need for consumers to manually curtail energy usage while maintaining transparency through real-time displays
Solution Approach 2:
The system implements closed-loop feedback by continuously monitoring energy consumption, comparing it against pricing information and user-defined preferences, and automatically adjusting energy usage patterns. The display provides real-time feedback to consumers about energy consumption and costs, while the automated management system uses this feedback to optimize energy scheduling without manual intervention
2Productivity
If demand response systems force curtailment on customers to react to load levels, then utility load management is improved, but end-user convenience is significantly reduced
Solution Approach 1:
The energy management system dynamically adjusts energy consumption patterns based on real-time pricing signals, load conditions, and user preferences. Rather than forcing fixed curtailment schedules, the system flexibly optimizes energy usage by scheduling tasks during optimal times while respecting user-defined constraints, achieving demand management goals without compromising user convenience
Solution Approach 2:
The system changes operational parameters of energy-consuming devices based on pricing and load conditions. Users can define preferences for different devices and time periods, and the system automatically adjusts parameters such as operating schedules, temperature setpoints, and task timing to optimize energy consumption while maintaining user comfort and convenience
3Measurement precision
If smart meters are deployed to measure and report consumption data, then real-time energy measurement capability is improved, but lack of communication and analytical infrastructure prevents effective utilization
Solution Approach 1:
The system combines smart meter measurement capabilities with integrated communication and analytical processing in a unified energy management platform. The energy management device receives real-time pricing and consumption data, processes this information locally, and automatically executes optimization decisions, eliminating the need for separate complex communication and analytical infrastructure while fully utilizing real-time measurement data
Solution Approach 2:
The energy management device serves as an intermediary between smart meters and end-use devices. It receives precise measurement data from smart meters, processes this information against pricing signals and user preferences, and translates it into automated control actions for appliances and equipment, simplifying the overall system architecture while enabling effective utilization of real-time measurement capabilities
Data Source
AI summary
According to an aspect of the disclosure, an apparatus for an energy management system includes a controller having an application interface configured to use at least a portion of an incoming message communicated using a home energy network at a residential site. The incoming message includes at least a portion of a first user energy management schedule, and the controller is capable of altering use of a resource in response to the first user energy management schedule. A first communication interface is operably coupled to the application interface and configured to communicate with a first network operably associated with the home energy network; and a second communication interface is operably coupled to the application interface and configured to communicate with a second network operably associated with the home energy network, wherein the second network is different than the first network.