Sustainability Action Plan Updates Using Third-Party Abatement Data
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Solution Overview
Problem
Challenges exist in efficiently tracking and improving sustainability parameters across enterprise operations, including hydrocarbon extraction, processing, and distribution, to achieve net zero carbon emissions and reduce waste, while incorporating real-time data and feedback mechanisms.
Innovation Solution
A sustainability platform system that collects data from various sources, simulates action plans, and adjusts operations to meet sustainability thresholds, using modular analysis to optimize computational efficiency and resource use.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing systems are used for tracking sustainability parameters, then basic monitoring is possible, but real-time data integration and feedback mechanisms are inefficient
Solution Approach 1:
The patent implements automated feedback mechanisms where sustainability performance data is continuously collected from multiple sources, analyzed against targets, and used to trigger automatic notifications and alerts. This closed-loop feedback system enables real-time monitoring and rapid response to sustainability deviations, transforming static tracking into dynamic management.
Solution Approach 2:
The patent introduces a centralized sustainability management platform as an intermediary that aggregates data from diverse sources (ERP systems, IoT sensors, external APIs), standardizes formats, and presents unified sustainability metrics. This intermediary layer reconciles data from multiple systems without requiring direct integration between them, improving both accuracy and efficiency.
2Loss of information
If comprehensive sustainability monitoring is implemented, then sustainability goals can be tracked, but computational resources are consumed
Solution Approach 1:
The patent implements selective data processing where not all sustainability parameters are monitored at full detail simultaneously. The system prioritizes critical parameters based on sustainability goals and risk levels, processing comprehensive data only when thresholds are approached or anomalies detected, thereby reducing routine computational load while maintaining data completeness where needed.
Solution Approach 2:
The patent divides sustainability monitoring into hierarchical segments: enterprise-level aggregate metrics, facility-level intermediate metrics, and asset-level detailed metrics. This segmentation allows computational resources to be allocated proportionally, processing only the necessary level of detail for each organizational unit rather than uniformly high-resolution monitoring across all levels.
3Measurement precision
If real-time simulation and analysis is performed, then action plan effectiveness can be assessed, but system complexity increases
Solution Approach 1:
The patent employs simplified, parameter-based simulation models rather than complex physics-based models. These lightweight models use pre-established relationships and lookup tables to quickly estimate sustainability outcomes, sacrificing some precision for speed and simplicity. The models are sufficient for evaluating action plan effectiveness without requiring sophisticated computational infrastructure.
Solution Approach 2:
The patent focuses simulation efforts on changing key sustainability parameters (emissions, energy consumption, water usage) rather than modeling all operational variables. By concentrating computational resources on the most impactful parameters and using sensitivity analysis to identify critical drivers, the system achieves meaningful measurement precision with reduced model complexity.
Data Source
AI summary
An enterprise system may include devices that perform respective operations of an enterprise and a sustainability platform system. The sustainability platform system may obtain a sustainability model representative of a state of operations of the enterprise and a current sustainability action plan associated with improving one or more sustainability parameters of the enterprise via one or more abatement technologies. The sustainability platform system may also determine that updated data is available for the abatement technologies and simulate an effect of the action plan on the sustainability parameters based on the updated data. The sustainability platform system may also determine whether the simulated effect of the action plan is effective to cause the sustainability parameters to be within one or more thresholds, and in response to determining that the simulated effect is effective, send commands to the devices to maintain their respective operations according to the current sustainability action plan.


