Energy Scoring Service for Multi-Property Efficiency Feedback
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Solution Overview
Problem
Current monitoring systems for homes and businesses lack the ability to provide comprehensive energy efficiency scoring and real-time feedback to users, failing to aggregate data effectively across multiple properties and offer actionable insights for improving energy usage.
Innovation Solution
A system that computes and presents energy scoring information, including property efficiency and lifestyle efficiency scores, using user input and thermodynamic models, and provides recommendations for improvement, with the ability to automatically adjust settings and control devices for enhanced energy management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If monitoring systems are equipped with comprehensive energy scoring and real-time feedback capabilities, then energy efficiency improvement is enhanced, but device complexity increases
Solution Approach 1:
The patent introduces a monitoring service as an intermediary component that handles the complex tasks of data aggregation, thermodynamic modeling, and energy scoring calculations. This mediator absorbs the computational complexity away from the local monitoring system, allowing the property management system to provide comprehensive energy scoring and real-time feedback without significantly increasing the complexity of individual monitoring devices. The service layer processes raw data from multiple properties and returns simplified energy efficiency scores and recommendations.
2Measurement precision
If data is aggregated across multiple properties for comprehensive scoring, then measurement precision is improved, but loss of information increases
Solution Approach 1:
The patent extracts only the essential energy consumption data and property attributes needed for scoring from the full set of monitored parameters. Instead of transmitting and processing all available data from multiple properties, the system identifies and extracts the critical subset of information (energy consumption, property size, occupancy patterns) required for accurate energy scoring. This extraction approach maintains measurement precision by focusing on the most relevant variables while minimizing information loss and data transmission overhead.
3Ease of operation
If automated recommendations and real-time updates are provided, then ease of operation is improved, but use of energy increases
Solution Approach 1:
The patent implements a feedback mechanism that provides automated energy efficiency recommendations to users based on their consumption patterns. The system analyzes energy usage data, compares it against optimal performance benchmarks, and delivers actionable recommendations through the user interface. This feedback loop improves ease of operation by guiding users toward more efficient behaviors without requiring them to manually analyze their own consumption data or understand complex energy management principles.
Solution Approach 2:
The system provides real-time updates and recommendations at strategically determined intervals rather than continuously. Energy scoring and recommendation generation occur periodically based on significant changes in consumption patterns or user interactions, rather than maintaining constant computational processing. This periodic action approach maintains user convenience through timely feedback while reducing the energy consumption associated with continuous system operations.
Data Source
AI summary
Techniques are described for energy scoring of a monitored property and users of the monitored property. A system provides users with information related to the efficiency of the monitored property and aggregates data over multiple monitored properties. The system computes and outputs a score for a monitored property that reflects efficiency of the property and/or the users of the property. The system may track how that score changes through time, and how it relates to neighboring properties. The score may be expressed as both a number and a percentile.