Building Asset Data Segmentation for Energy Optimization
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Solution Overview
Problem
Building energy management systems face challenges in optimizing energy efficiency and sustainability due to limitations in data granularity, lack of holistic infrastructure asset data, and aggregated performance data, leading to suboptimal energy consumption and increased operational costs.
Innovation Solution
A computer-facilitated method that integrates asset data from various categories (location, technical infrastructure, and physical structure) with performance data to determine improvement measures using key performance indicators and rules, enabling real-time optimization of consumable resources such as energy, water, and waste, and providing actionable project plans.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If aggregated performance data is used for building management, then data processing complexity is reduced, but energy optimization precision deteriorates
Solution Approach 1:
The patent segments building assets into multiple categories (category 1: buildings and spaces, category 2: technical infrastructure components, category 3: physical structure elements) and collects granular performance data for each category separately, then integrates them for comprehensive analysis. This segmentation enables precise tracking of energy consumption by specific assets while maintaining manageable data organization through structured categorization.
2Measurement precision
If holistic infrastructure asset data is collected, then energy management accuracy is improved, but data management complexity increases
Solution Approach 1:
The patent implements a universal data collection framework that handles multiple types of asset data (building information, infrastructure components, physical structures) through a common methodology. The system uses standardized data structures and processing algorithms that work across all asset categories, enabling holistic energy management while avoiding the need for separate complex systems for each data type.
Solution Approach 2:
The patent introduces an intermediary computer system that acts as a mediator between diverse data sources and the energy management analysis. This intermediary system standardizes data formats, integrates heterogeneous data types, and presents unified information to users, reducing the complexity burden on both data collection and analysis processes.
3Productivity
If real-time performance monitoring is implemented, then operational efficiency is improved, but energy consumption for monitoring increases
Solution Approach 1:
The patent implements feedback mechanisms where performance data from various asset categories is continuously monitored and fed back to the management system. This feedback enables real-time identification of energy optimization opportunities, allowing the system to adjust operations dynamically. The feedback loop prioritizes monitoring of high-impact assets first, optimizing the balance between monitoring intensity and energy consumption.
Data Source
AI summary
A computer-facilitated method and a computerized system for providing optimization or improvement measures for one or more buildings are disclosed. Based on asset data regarding the building and on corresponding performance data, improvement measures related to a consumable resource in the one or more buildings are determined using a computer system configured for analyzing the asset data and the respective corresponding performance data based on internal and/or external key performance indicators and rules provided by a database.