Home Energy Management Messaging for Real-Time Load Scheduling
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Solution Overview
Problem
Current energy management systems lack transparency and active participation from consumers in energy conservation, relying on passive methods like monthly bills and inadequate real-time data, and often inconvenience users with demand response programs that are not well-received.
Innovation Solution
An energy management system that includes a database for storing site report data, a processor to analyze thermostat settings and HVAC modes, and a network of devices for real-time energy monitoring and scheduling, allowing for proactive energy use adjustments based on user proximity and energy pricing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If demand response systems force curtailment on customers to manage load levels, then energy consumption is reduced, but user convenience deteriorates
Solution Approach 1:
The energy management system automatically manages energy consumption without requiring user intervention. The system self-adjusts energy usage patterns, schedules appliance operations, and optimizes consumption based on pricing signals and user preferences, eliminating the need for forced curtailment while maintaining user convenience.
Solution Approach 2:
The system provides real-time feedback to consumers about their energy consumption patterns, costs, and savings. This transparency enables informed decision-making and allows the system to automatically adjust operations based on feedback loops between consumption data, pricing signals, and user preferences, resolving the contradiction between energy reduction and user convenience.
2Loss of information
If energy display technologies are provided to show current energy prices, then energy information availability is improved, but energy conservation effectiveness deteriorates due to passive consumer role
Solution Approach 1:
The system automatically translates energy pricing information into actionable energy conservation measures without requiring manual consumer intervention. It self-manages appliance scheduling, load shifting, and consumption optimization based on real-time pricing data, thereby maintaining full information transparency while actively achieving energy conservation goals.
Solution Approach 2:
The system performs preliminary actions by pre-scheduling energy-intensive operations during low-cost periods and automatically adjusting appliance operations before peak pricing occurs. This proactive approach eliminates the need for manual consumer response while maintaining energy conservation effectiveness through advance planning and automatic execution.
Data Source
AI summary
According to an aspect of the disclosure, an energy management apparatus for a home energy management system and method includes a processor operable to manage energy use at a site. The processor is configured to convert an incoming message received from a wireless energy network into XML enabled output data and format an outgoing message to be output to the wireless energy network using XML enabled input data. A communication interface is configured to enable access to a communication device having access to the wireless energy network, wherein the communication interface is further configured to detect the outgoing message formatted by the processor to be output using the wireless energy network; configure the outgoing message to a message bus format, detect the incoming message received from the wireless energy network, and convert the incoming message from the message bus format to access the incoming network device data.