Emissions Source Optimization Using Modified Gradient Descent
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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 comply with emissions standards and predict future emissions, especially with the complexity of various constraints and emission types.
Innovation Solution
An emissions optimizer system utilizing a mixed integer programming algorithm and a modified gradient descent model to track and model emissions, determining physical emissions sources, adjusting emissions values, and generating action recommendations to achieve target emissions values while considering constraints, and providing these recommendations through a graphical user interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional systems are used to monitor emissions from multiple sources, then the system structure is simple, but the system cannot efficiently monitor large numbers of emissions sources or model future emissions under multiple constraints
Solution Approach 1:
The patent replaces conventional manual or simple automated monitoring systems with an advanced computational system using mixed integer programming algorithms and modified gradient descent models. This substitution enables the system to efficiently monitor hundreds of emissions sources and model future scenarios under multiple constraints, directly resolving the contradiction between monitoring efficiency and system complexity.
2Loss of information
If the number of emissions sources is increased to capture comprehensive entity operations, then the completeness of emissions data improves, but the complexity of determining overall emissions increases significantly
Solution Approach 1:
The patent transforms the complex emissions determination problem into a structured optimization problem by defining objective functions and constraints in terms of measurable parameters. The mixed integer programming model converts qualitative emissions assessment into quantitative parameter optimization, enabling comprehensive monitoring of multiple sources while managing complexity through mathematical formulation.
Solution Approach 2:
The patent segments the overall emissions determination into distinct components: individual emissions sources, emission types, constraints, and objective functions. This segmentation allows the system to process hundreds of sources systematically by breaking down the complex calculation into manageable modular components that can be optimized independently and aggregated.
3Adaptability or versatility
If conventional systems attempt to model future emissions under multiple constraints, then the adaptability to emissions standards improves, but the systems become unable to provide accurate predictions
Solution Approach 1:
The patent implements feedback mechanisms where the optimization model iteratively adjusts emissions scenarios based on constraint satisfaction and objective function evaluation. The modified gradient descent algorithm provides continuous feedback on solution quality, enabling the system to adapt to varying emissions standards while maintaining prediction accuracy through iterative refinement of future emissions models.
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.