Building Pump Energy Assessment With Dynamic Efficiency Benchmarks
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Solution Overview
Problem
Existing energy and greenhouse gas measurement and verification protocols rely on static analytics, leading to inaccurate results and false claims of energy savings, making it difficult to assess energy sustainability and the effectiveness of corrective actions in buildings.
Innovation Solution
A dynamic energy assessment method using smart meter data, sensor data, weather data, and facility information to continuously compare actual energy consumption with target consumption, calculating energy performance assessments every 15 minutes, and adjusting building systems for optimal energy use.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If static analytics are used for energy measurement and verification, then the measurement process is simple, but the accuracy of energy savings assessment deteriorates
Solution Approach 1:
The patent transitions from static analytics to dynamic analytics that continuously adjust energy performance targets based on real-time weather conditions, facility usage patterns, and historical data. This dynamic approach enables accurate energy savings verification by comparing actual consumption against continuously updated benchmarks rather than fixed thresholds.
Solution Approach 2:
The system implements continuous feedback loops where energy consumption data, weather data, and usage data are constantly collected, analyzed, and used to adjust energy performance targets. This feedback mechanism enables real-time verification of energy savings and identifies deviations from expected performance patterns.
2Reliability
If dynamic analytics with continuous data collection are implemented, then energy assessment accuracy improves, but system complexity and data processing requirements increase
Solution Approach 1:
The patent creates a universal energy assessment platform that handles multiple data types (weather data, utility consumption data, facility usage data) through a single integrated system. This multi-functional platform performs diverse functions including data collection, normalization, target calculation, and verification across different facility types and locations.
Solution Approach 2:
The system dynamically changes assessment parameters based on varying conditions such as weather patterns, seasonal variations, and facility usage schedules. Energy performance targets are adjusted as parameters change rather than using fixed thresholds, enabling reliable assessments across different operating conditions.
3Loss of energy
If continuous energy performance monitoring is performed, then wasted energy identification improves, but energy consumption for monitoring increases
Solution Approach 1:
The energy monitoring system is designed to be self-optimizing, using collected data to automatically identify and flag waste patterns without requiring constant human intervention. The system serves itself by continuously learning from historical data to improve its ability to detect wasted energy while minimizing its own operational overhead.
Data Source
AI summary
Systems and methods dynamically assess energy efficiency by obtaining a minimum energy consumption of a system, receiving in a substantially continuous way a measurement of actual energy consumption of the system, and comparing the minimum energy consumption to the measurement of actual energy consumption to calculate a substantially continuous energy performance assessment. The system further provides at least one of a theoretical minimum energy consumption based at least in part on theoretical performance limits of system components, an achievable minimum energy consumption based at least in part on specifications for high energy efficient equivalents of the system components, and the designed minimum energy consumption based at least in part on specifications for the system components.