Building Thermo-Fluid Analysis for Certification Feature Correlation
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Solution Overview
Problem
Current building evaluation methods fail to provide beneficial information for design purposes before construction, leading to potential major reconstructions if critical features are not met during certification, especially with certifications like WELL Building Standard.
Innovation Solution
A building evaluation method that conducts thermo-fluid analysis under varying conditions to calculate correlation coefficients between features, identifying correlation features and providing output based on these calculations to determine optimal feature values and prioritize critical preconditions for certification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If building evaluation is conducted using sensor information after construction, then building performance can be measured, but design optimization information cannot be provided and major reconstructions may be required
Solution Approach 1:
The patent performs thermo-fluid analysis and calculates correlation coefficients between feature values and evaluation values during the design phase, before construction begins. This preliminary action identifies which design features most strongly influence certification outcomes, enabling designers to optimize building designs proactively rather than reacting to post-construction measurement results
Solution Approach 2:
The patent creates a virtual model of the building and performs computational thermo-fluid analysis on this digital copy rather than requiring physical sensors in the actual building. This allows evaluation and optimization to occur in the virtual design space, providing design guidance without waiting for physical construction and sensor deployment
2Loss of information
If comprehensive thermo-fluid analysis is conducted under multiple conditions, then correlation features can be identified, but computational complexity and time increase
Solution Approach 1:
The patent extracts only the most critical correlation features by calculating correlation coefficients between each feature value and evaluation values, then identifying those with the strongest relationships. This extraction process filters out less important features, reducing the complexity of design optimization while retaining the most influential design parameters
Solution Approach 2:
The patent systematically varies feature values across multiple conditions in the thermo-fluid analysis to observe how changes in individual features affect evaluation outcomes. By changing one parameter at a time and measuring its correlation with evaluation values, the method identifies key design levers without requiring exhaustive analysis of all possible parameter combinations
3Reliability
If feature values are optimized for certification, then certification success rate improves, but design flexibility may be reduced
Solution Approach 1:
The patent identifies specific local features (individual feature values) that have the strongest correlation with certification outcomes. Rather than imposing rigid global design constraints, the method allows designers to maintain flexibility in most areas while optimizing only the critical local features that most strongly influence certification, thus preserving overall design adaptability
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach allows for the identification of crucial features and their relationships, enabling designers to create optimal building designs that meet certification standards before construction, reducing the likelihood of overlooking essential preconditions and facilitating higher-grade certifications like WELL Building Standard.
Implementation Method 1
conducting a thermo-fluid analysis on the space using a feature value of the space that is set for a first feature
Implementation Method 2
conducting a thermo-fluid analysis on the space using a feature value of the space
Data Source
AI summary
A building evaluation method for evaluating a space inside a building on a basis of features used for certain building certification. The building evaluation method includes conducting a thermo-fluid analysis on the space using a feature value of the space that is set for a first feature and whose change causes a change in an evaluation value of the first feature, the thermo-fluid analysis being conducted under each of two or more conditions between which the feature value is different, calculating, on a basis of a result of the thermo-fluid analysis, a correlation coefficient of an evaluation value of each of second features in relation to the feature value, the features being the first feature and the second features, and finding, among the second features, correlation features, whose calculated correlation coefficients satisfy a certain condition and outputting the correlation features.