Energy Performance Scoring for Comparable Building Evaluation
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Solution Overview
Problem
Existing performance evaluation methods for objects such as buildings and vehicles lack consistency and comparability due to varying criteria and data sources, making it difficult to assess and optimize energy efficiency and CO2 emissions across different geographical areas and regulatory environments.
Innovation Solution
A computer-implemented method and system that standardizes performance scoring by integrating multiple types of input data, including metered building data, external factors, and user inputs, to calculate a harmonized performance score considering location, age, and regulatory requirements, ensuring consistent evaluation across diverse contexts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If different evaluation criteria and data sources are used for performance evaluation, then the evaluation can be adapted to local conditions and requirements, but the comparability and consistency of performance results across different geographical areas and regulatory environments deteriorates
Solution Approach 1:
The patent applies parameter changes by introducing a standardized set of evaluation parameters and data sources that are consistently applied across different geographical areas and regulatory environments. The system defines specific parameters for energy consumption, CO2 emissions, and performance scoring that remain constant, while allowing the input data to adapt to local conditions through standardized interfaces.
Solution Approach 2:
The patent implements universality by creating a multi-functional evaluation system that can handle different types of buildings, energy sources, and regulatory requirements through a single standardized framework. The system is designed to process various input data types (metered data, calculated data, external data) and produce comparable performance scores across diverse contexts, making the evaluation method universally applicable.
2Reliability
If performance evaluation uses multiple data sources and criteria, then the evaluation can capture comprehensive performance aspects, but the complexity of the evaluation system increases
Solution Approach 1:
The patent applies segmentation by dividing the performance evaluation system into distinct functional modules: data acquisition module, data verification module, performance scoring calculation module, and classification module. Each module handles specific tasks with defined inputs and outputs, making the overall complex system manageable and maintainable while still achieving comprehensive evaluation.
Solution Approach 2:
The patent manages complexity by standardizing the parameters and data formats used across all evaluation processes. By defining specific parameter sets for different building types and energy sources, the system can comprehensively assess performance without requiring custom complex evaluations for each case, thus reducing overall system complexity while maintaining reliability.
3Productivity
If performance scoring is calculated without standardized verification, then the calculation process is simpler and faster, but the reliability and comparability of the scoring results deteriorates
Solution Approach 1:
The patent applies preliminary action by implementing data verification steps before the performance scoring calculation. The system verifies input data from multiple sources against predefined criteria and standards before using it in calculations, ensuring reliable results. This preliminary verification prevents errors from propagating through the calculation process, maintaining both speed and reliability.
Data Source
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AI summary
Disclosed is a computer-implemented method for obtaining a performance scoring for an object, the method comprising: obtaining a first type of input data, that indicates at least one aspect of performance of the object with respect to energy consumption, obtaining a second type of input data that indicates requirements based on which the performance scoring is classified, verifying the first type of input data and the second type of input data, calculating the performance scoring of the object based on at least the first type of input data, calculating the classification for the performance scoring based on at least the second type of input data, and providing the classification of the performance scoring as an output.