Real-Time Global Sustainability Score Aggregation
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Solution Overview
Problem
Current building management solutions lack a unified approach to incorporate sustainable elements of Environmental, Social, and Governance (ESG) reporting and control, failing to provide a transparent and consolidated central system for obtaining business insights and optimizing efficiency.
Innovation Solution
A method and system that calculates a real-time global sustainability score by aggregating sustainability scores from multiple buildings across geographical locations, using a smart building model with data acquisition, KPI assessment, and sustainability score evaluation modules, along with machine learning models for forecasting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a centralized system aggregates sustainability data from multiple buildings, then the comprehensiveness of sustainability metrics is improved, but the system complexity increases
Solution Approach 1:
The system divides the complex sustainability assessment into modular components: individual building sustainability scores are calculated separately using standardized methods, then aggregated to form organizational-level scores. This segmentation allows comprehensive multi-building assessment while maintaining manageable system complexity through independent, reusable assessment modules.
Solution Approach 2:
The patent implements universal sustainability assessment frameworks and standardized scoring methodologies that can be applied across diverse building types and organizational structures. The same core assessment engine serves multiple buildings, geographic locations, and sustainability criteria, reducing overall system complexity while maintaining comprehensive evaluation capabilities.
2Measurement precision
If real-time data acquisition from multiple sensors is implemented, then the accuracy of sustainability scoring is improved, but the data processing requirements increase
Solution Approach 1:
The system performs preliminary data processing and validation at the building level before aggregation. Sustainability scores are pre-calculated for individual buildings based on sensor data, then these pre-processed scores are aggregated organization-wide. This preliminary action reduces the computational burden of real-time processing while maintaining scoring accuracy.
Solution Approach 2:
The patent introduces intermediate sustainability score calculations as mediators between raw sensor data and final organizational assessments. Building-level sustainability scores serve as intermediate results that simplify the aggregation process, reducing direct data processing requirements while preserving measurement precision through standardized scoring transformations.
3Measurement precision
If standardized KPIs are applied across multiple buildings, then the comparability of sustainability metrics is improved, but the flexibility to address building-specific characteristics is reduced
Solution Approach 1:
The system applies standardized KPI frameworks uniformly across all buildings while allowing building-specific weightings and adjustments to reflect local characteristics. Each building's sustainability score incorporates universal metrics for comparability, but permits customization in metric prioritization and threshold settings to address unique building features, occupancy patterns, and operational contexts.
Data Source
AI summary
The invention provides a smart building model (104) for calculating real-time global sustainability score and forecasting global sustainability score of an entity (102) with buildings at multiple geographical locations. The smart building model (104) comprises a data acquisition module (214) that acquires data from a plurality of sensors that monitor data of assets associated with each building. A key performance indicator (KPI) module (216) assess KPIs based on data acquired from the sensors. Sustainability score of each building is evaluated by a sustainability score evaluation module (218) that compares KPIs of the assets against a selected compliance standard. A global sustainability score of the entity (102) is estimated by aggregating sustainability scores of each building and assessing weights assigned to the KPIs by an aggregation module (220). A reporting module (222) displays a report with global sustainability score of the entity (102) along with sustainability scores of each building.