Building Information Model Analysis for Energy Efficiency Evaluation
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Solution Overview
Problem
Current Building Energy Management Systems (BEMS) face challenges in accurately evaluating building energy efficiency due to exclusion of passive energy-efficient elements and high costs associated with sensor installation and network construction, leading to inefficient energy consumption analysis and potential for unnecessary diagnoses.
Innovation Solution
A system that configures analysis settings to calculate similarities between a target building and standard building profiles using Building Information Models (BIM), generating analysis results and providing Energy Conservation Measures (ECM) to optimize energy usage, while reducing construction expenses by leveraging simulation-based standard profiles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If real-time monitoring of building facilities is implemented using BEMS, then energy consumption can be optimized and abnormal operations can be detected, but high investment costs for sensor installation and network construction are required
Solution Approach 1:
The patent uses Building Information Models (BIM) as virtual copies of physical buildings to perform simulations and analyses. Instead of installing sensors in the actual building, the system creates a digital replica that can be analyzed computationally, thereby avoiding the high costs of physical sensor deployment while still enabling energy consumption analysis and optimization.
Solution Approach 2:
The patent replaces the physical mechanical system of sensors and monitoring hardware with an information-based computational system. By using BIM models and simulation software, the system substitutes physical measurement devices with virtual modeling and analysis, eliminating the need for extensive sensor installation networks while achieving similar analytical goals.
2Measurement precision
If passive energy-efficient elements such as external wall materials and window areas are included in BEMS analysis, then energy efficiency evaluation becomes more accurate, but the system complexity and data processing requirements increase
Solution Approach 1:
The patent performs preliminary actions by pre-configuring BIM models with all relevant building parameters including passive elements like wall materials and window areas before analysis begins. This preliminary modeling phase captures all energy efficiency factors in advance, allowing the system to evaluate energy efficiency accurately without requiring complex real-time monitoring of each individual parameter during operation.
Solution Approach 2:
The BIM model serves as a universal platform that integrates multiple functions: it stores geometric information, material properties, energy performance data, and operational parameters all in one unified model. This multi-functional approach allows the system to evaluate energy efficiency comprehensively without requiring separate systems for each type of data, thereby managing complexity while maintaining precision.
3Device complexity
If building energy consumption is compared with other buildings using simple set-based methods, then analysis costs are reduced, but the precision and reliability of energy efficiency evaluation decrease
Solution Approach 1:
The patent changes the parameters used for comparison by utilizing detailed BIM model parameters such as building geometry, material properties, and operational characteristics instead of simple aggregate metrics. This allows for more precise energy efficiency evaluation while maintaining cost-effectiveness, as the comparison is based on standardized model parameters that can be extracted computationally without requiring expensive measurement campaigns.
Solution Approach 2:
The patent introduces BIM models as an intermediary between simple building identifiers and detailed energy performance data. The BIM model serves as a mediator that contains pre-integrated information about building characteristics, allowing for accurate comparisons between buildings without requiring direct measurement of each parameter. This intermediary approach maintains evaluation precision while reducing analysis costs compared to traditional methods.
Data Source
AI summary
Disclosed herein are an apparatus and method for analyzing a building. The apparatus for analyzing a building includes a configuration unit for configuring analysis settings for analyzing a target building; a calculation unit for calculating a distance based on similarity by acquiring information about the target building and information about a standard building depending on the analysis settings and for generating a result of analysis of the target building using the distance; and an output unit for outputting the result of analysis of the target building.