Layered Emissions Feedback for Campus Energy and Air Quality
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Solution Overview
Problem
Current building management systems lack the capability to holistically manage air quality and energy consumption across campuses, relying on outdated technologies that do not support real-time data processing, layered feedback systems, or integration of disparate data sources, leading to ineffective management and decision-making.
Innovation Solution
A system that integrates real-time data from various sources using direct, indirect, and remediation data pipes, sensors, and computer-readable instructions to calculate emissions and occupancy, generating facility action information for optimizing air quality and energy use through a layered feedback system, enabling predictive analytics and machine learning for improved campus management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional building management systems are used, then device complexity is reduced, but measurement precision and data integration capability deteriorate
Solution Approach 1:
The system segments data collection into multiple specialized data pipes (direct emission data pipe, indirect emission data pipe, remediation data pipe, sensor data pipe) that independently collect and transmit specific types of data to the server, allowing precise measurement without monolithic system complexity
Solution Approach 2:
The server acts as an intermediary that receives, normalizes, and integrates data from multiple disparate sources including emission sources, remediation sources, and sensors, enabling precise air quality measurement without direct complex connections between all components
2Productivity
If real-time data processing is implemented, then productivity is improved, but use of energy increases
Solution Approach 1:
The system performs preliminary data normalization and categorization at the server level before detailed analysis, preparing data in advance for efficient real-time processing and reducing the computational energy required during critical real-time operations
Solution Approach 2:
The system processes data at different levels of detail - using aggregated summaries for routine monitoring (lower energy) and full real-time processing only when anomalies or critical thresholds are detected (excessive action only when needed)
3Loss of information
If comprehensive data integration from disparate sources is achieved, then information completeness is improved, but device complexity increases
Solution Approach 1:
The server provides universal data normalization and integration capabilities that work across multiple data types and sources (direct emissions, indirect emissions, remediation data, sensor data), eliminating the need for separate integration systems for each data category
Solution Approach 2:
The server acts as a universal intermediary that standardizes data formats and protocols from disparate sources, enabling complete information integration without requiring complex point-to-point connections between all data sources
4Manufacturing precision
If layered feedback systems are implemented, then control precision is improved, but device complexity increases
Solution Approach 1:
The feedback system is segmented into multiple layers operating at different levels (building level, campus level, enterprise level), with each layer providing targeted control precision for its specific scope without requiring the entire system to be maximally complex
Data Source
AI summary
A system for including a computer readable medium; data pipes a first emission source, second emission source, and remediation source, a remediation data pipe in communication with the server and a remediation source; a sensor; a facilities system in communications with a server; and, a set of computer readable instructions stored on the computer readable medium and configured to: receive first and second emission information, and remediation information, calculate an emission value, generate a facility action information according to a comparison of the enterprise emission value and a target emission value, and, transmit the facility action information to the facilities system wherein the facilities is configured to implement or reject an action represented by the facility action information.