Building management system with sustainability planning
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Solution Overview
Problem
Existing building management systems lack effective methods to optimize energy conservation measures and emission reduction strategies, particularly in determining the optimal timing for implementing recommendations to achieve net-zero energy consumption and carbon emissions, which is challenging due to uncertainties in energy demand and generation capacity.
Innovation Solution
A Building Management System (BMS) that uses emission information to generate recommendations for adjusting emission impacts, simulates the implementation of these recommendations over time using a model, and determines the optimal point for implementation based on various parameters, including energy conservation measures and user input, to create a user interface for displaying these recommendations and adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-generated harmful factors
If building management systems implement emission reduction strategies and energy conservation measures, then carbon emissions and energy consumption are reduced, but the optimal timing for implementation is difficult to determine due to uncertainties in energy demand and generation capacity
Solution Approach 1:
The system performs simulation of emission impacts before actual implementation of energy conservation measures. The BMS models different scenarios and determines optimal implementation timing in advance, allowing building operators to plan emission reduction strategies without facing uncertainty about when to act. This preliminary simulation resolves the timing uncertainty by providing data-driven recommendations before real-world deployment.
Solution Approach 2:
The system uses simulation feedback to refine emission reduction strategies. By modeling the impacts of proposed measures and comparing predicted outcomes against targets, the BMS provides iterative feedback that helps optimize implementation timing. This feedback mechanism resolves timing uncertainty by continuously evaluating whether current conditions are optimal for implementation based on simulated performance data.
2Measurement precision
If building management systems simulate implementation of recommendations at multiple points in time, then optimal implementation timing is determined, but computational complexity and processing requirements increase
Solution Approach 1:
The system segments the simulation process into discrete evaluation points in time rather than continuous analysis. By evaluating emission impacts at specific predetermined time points, the BMS achieves precise timing determination without requiring overly complex continuous simulation models. This segmentation reduces computational complexity while maintaining measurement precision for implementation timing.
Solution Approach 2:
The system changes simulation parameters to balance precision and complexity. By adjusting the number and spacing of evaluation time points, the BMS can achieve sufficient timing precision without unnecessarily increasing model complexity. Parameter optimization allows the system to find the minimal set of simulation points needed to determine optimal implementation timing accurately.
3Adaptability or versatility
If building management systems generate multiple recommendations for adjusting emission impacts, then emission reduction options are increased, but system complexity and difficulty of implementation increase
Solution Approach 1:
The system performs preliminary simulation and evaluation of multiple emission reduction recommendations before presentation to users. By pre-analyzing the impacts and timing of various options, the BMS simplifies the implementation process for building operators. The system has already determined optimal timing and evaluated effectiveness, so users receive ready-to-implement recommendations rather than raw data requiring interpretation, thus maintaining versatility while improving ease of operation.
4Productivity
If building management systems determine optimal implementation timing based on simulation results, then emission reduction efficiency is improved, but the time required for analysis and decision-making increases
Solution Approach 1:
The system performs emission impact simulations in advance to determine optimal implementation timing before actual emission reduction actions are needed. By conducting this analysis preliminarily, the BMS resolves timing decisions ahead of time, so when implementation is required, the optimal timing is already known. This eliminates the need for time-consuming analysis at the moment of decision-making, thus improving emission reduction efficiency without sacrificing analysis quality.
Solution Approach 2:
The system dynamically adjusts the simulation process based on building needs and available data. Rather than performing exhaustive simulations regardless of circumstances, the BMS adapts the analysis scope and depth to match actual requirements. This dynamic approach reduces unnecessary analysis time while maintaining the ability to determine optimal implementation timing efficiently when needed.
Data Source
AI summary
A Building Management System (BMS) can include one or more memory devices that can store instructions thereon that, when executed by one or more processors, cause the one or more processors to determine emission impacts for a plurality of pieces of building equipment of a building, generate a plurality of recommendations to adjust the emission impacts for the plurality of pieces of building equipment, determine a first point in time to implement at least one recommendation of the plurality of recommendations, and cause a user interface to be displayed.