Physical Emissions Source Modeling for Constraint-Based Action Recommendations
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Solution Overview
Problem
Conventional systems are inadequate in monitoring and modeling emissions from multiple sources, making it challenging for entities to determine past and future emissions and comply with evolving emissions standards, especially given the complexity of tracking and predicting emissions from numerous physical sources.
Innovation Solution
The emissions optimizer system utilizes a mixed integer programming algorithm and a modified gradient descent model to iteratively adjust emissions values, generating action recommendations for modifying physical emissions sources, and provides these recommendations through a graphical user interface, allowing for efficient and accurate monitoring of large numbers of emissions sources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional systems are used to monitor emissions from multiple sources, then emissions data can be collected, but the systems cannot efficiently model future emissions under multiple constraints
Solution Approach 1:
The patent transforms the emissions modeling problem by changing parameters from traditional deterministic approaches to probabilistic parameter distributions. This allows the system to model future emissions under multiple constraints (budget, operational, regulatory) while maintaining computational efficiency through Monte Carlo simulation and optimization algorithms.
Solution Approach 2:
The patent introduces an intermediary optimization engine that acts as a mediator between emissions data collection and future scenario modeling. This intermediary component processes current emissions data, applies constraints, and generates optimized future emission scenarios, resolving the contradiction between modeling capability and computational efficiency.
2Measurement precision
If detailed tracking of emissions from hundreds of sources is implemented, then measurement precision improves, but system complexity increases
Solution Approach 1:
The patent segments the complex emissions monitoring system into distinct modular components: data collection modules for individual emission sources, a central processing engine, constraint management modules, and scenario generation modules. This segmentation allows detailed tracking of hundreds of sources while managing system complexity through modular architecture and standardized data interfaces.
3Adaptability or versatility
If conventional methods are used to determine future emissions, then computational resources are conserved, but the ability to provide actionable recommendations under constraints is lost
Solution Approach 1:
The patent implements partial action by focusing computational resources on optimizing key emission sources that have the greatest impact on meeting constraints, rather than exhaustively analyzing all possible adjustments across hundreds of sources. The system identifies and prioritizes high-impact emission reduction opportunities, providing actionable recommendations with sufficient accuracy without requiring complete exhaustive analysis.
Data Source
AI summary
Methods, systems, and non-transitory computer readable storage media are disclosed for generating action recommendations modifying physical emissions sources of an entity based on past and modeled emissions for the entity. Specifically, the disclosed system monitors emissions produced by an entity by determining a number of emissions sources corresponding to an entity and a plurality of emissions values for the emissions sources. Additionally, the disclosed system determines a plurality of constraints corresponding to the entity. The disclosed system also determines goals for the entity including target emissions values. The disclosed system utilizes a modified gradient descent model to iteratively adjust emissions values for the physical emissions sources to obtain the target emissions values according to the constraints. The disclosed system generates action recommendations for modifying the physical emissions sources utilizing the modified gradient descent model and provides the action recommendations for display within a graphical user interface.