Building Carbon Reduction Control Across Multiple Facilities
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Solution Overview
Problem
Existing building management systems (BMS) lack the capability to efficiently determine and implement sustainability goals for multiple buildings, leading to suboptimal energy usage and environmental impact.
Innovation Solution
A BMS that collects operational data from multiple buildings, determines baseline sustainability performance, sets sustainability goals with target levels and timeframes, and generates control actions for building equipment to achieve those goals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a BMS collects and processes operational data from multiple buildings to determine sustainability goals, then sustainability performance improves, but system complexity increases
Solution Approach 1:
The system segments sustainability management into distinct functional modules: data collection module that gathers operational data from multiple buildings, baseline determination module that establishes current performance levels, goal setting module that defines target sustainability levels and timeframes, and control action generation module that creates equipment control strategies. This segmentation allows each module to handle specific tasks independently, reducing overall system complexity while maintaining comprehensive sustainability management capability.
Solution Approach 2:
The BMS is designed as a universal platform that can manage sustainability across multiple buildings with diverse equipment types. The system performs multiple functions including data collection from various sources, baseline calculation, goal establishment, control action generation, and performance monitoring. This multi-functional design consolidates what would otherwise require separate systems for each building, reducing complexity through consolidation while maintaining the ability to handle diverse sustainability requirements.
2Use of energy by moving object
If the BMS generates and implements control actions for building equipment, then energy usage optimizes, but control precision requirements increase
Solution Approach 1:
The control actions generated by the system are dynamic rather than static. The BMS continuously monitors operational data and adjusts control strategies in real-time based on changing conditions. Control parameters such as equipment setpoints, operational schedules, and resource allocation are dynamically modified to optimize energy usage while adapting to varying building conditions, occupancy patterns, and environmental factors. This dynamic approach reduces the need for extremely precise fixed control settings.
Solution Approach 2:
The system implements continuous feedback loops where operational data from building equipment is collected, analyzed against sustainability goals, and used to generate updated control actions. The BMS monitors the effectiveness of implemented control actions and adjusts subsequent controls based on observed performance. This feedback mechanism allows the system to achieve energy optimization through iterative adjustment rather than requiring perfect initial control precision.
Data Source
AI summary
A carbon reduction system for a building, the carbon reduction system can include one or more memory devices storing instructions thereon that, when executed by one or more processors, cause the one or more processors to receive operational data for the building, the operational data comprising at least one of current or historical operational data, determine, for the building, a baseline value for carbon emissions based on the operational data, and establish, for the building, a carbon reduction goal to improve carbon emissions for the building from the baseline value for carbon emissions, the carbon reduction goal comprising a target value for carbon emissions and a timeframe to achieve the target value for carbon emissions.