Building Energy Model Change Detection via Regression Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current systems fail to accurately measure and verify energy savings and peak demand reductions in buildings due to unaccounted changes in static factors, leading to inaccurate energy usage estimations and potential contractual violations.
Innovation Solution
A computer system that automatically identifies changes in a building's energy usage model by processing data from a building management system, communicating these changes to alert users or adjust the energy model, and using regression analysis to generate a baseline model for predicting energy usage, thereby ensuring accurate energy savings calculations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual monitoring of static factors is used, then monitoring cost is reduced, but measurement precision of energy savings deteriorates due to unnoticed changes
Solution Approach 1:
The system automatically monitors static factors and detects changes without requiring manual intervention. The processing circuit continuously compares current static factor values against baseline values and autonomously identifies deviations, eliminating the need for manual monitoring while maintaining high measurement precision.
Solution Approach 2:
The system implements a feedback mechanism where the processing circuit continuously monitors static factors, compares them against baseline values, and triggers alerts or model adjustments when changes are detected. This closed-loop feedback ensures accurate energy savings measurement by automatically responding to changes in static factors.
2Measurement precision
If automatic detection system is implemented, then measurement precision of energy savings improves, but device complexity increases
Solution Approach 1:
The processing circuit is designed to perform multiple functions: monitoring static factors, detecting changes, comparing values against baselines, generating alerts, and triggering model adjustments. This multi-functional design consolidates what could be multiple separate systems into a single integrated component, reducing overall system complexity while maintaining high measurement precision.
Solution Approach 2:
The system merges the monitoring, detection, comparison, and response functions into a unified processing circuit. By combining these functions that could operate as separate systems into a single integrated component, the patent reduces device complexity while achieving automatic detection and high measurement accuracy.
3Reliability
If baseline model is not adjusted for static factor changes, then device complexity is reduced, but reliability of energy savings verification deteriorates
Solution Approach 1:
The baseline model transitions from a static to a dynamic system. The processing circuit continuously monitors static factors and automatically triggers model adjustments when changes are detected. This dynamic adaptation ensures the baseline model remains accurate and reliable over time, reflecting current building conditions rather than relying on outdated baseline values.
Solution Approach 2:
The system performs preliminary detection of static factor changes before they significantly impact energy savings calculations. By continuously monitoring and detecting changes early, the system can proactively adjust the baseline model to maintain verification reliability, rather than waiting for discrepancies to manifest in the energy savings data.
4Loss of information
If static factor changes are not detected, then device complexity is reduced, but loss of information increases leading to incorrect energy savings calculations
Solution Approach 1:
The processing circuit autonomously monitors static factors, detects changes, and preserves this information by triggering alerts or model adjustments. The system serves itself by automatically capturing and responding to static factor changes without external intervention, ensuring no information is lost and energy savings calculations remain accurate.
Solution Approach 2:
The system implements feedback loops that continuously monitor static factors and provide information about changes to the energy savings calculation process. This feedback mechanism ensures that information about static factor changes is captured and utilized, preventing information loss and maintaining calculation accuracy through automatic response mechanisms.
Data Source
AI summary
A computer system for use with a building management system for a building includes a processing circuit configured to automatically identify a change in a building's energy usage model based on data received from the building management system. The processing circuit may be configured to communicate the identified change in the static factor to at least one of (a) a module for alerting a user to the identified change and (b) a module for initiating an adjustment to the energy model for a building in response to the identified change.