Emissions Planning and Control With Multi-Horizon Optimization
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Solution Overview
Problem
Existing systems fail to efficiently and cost-effectively achieve net zero emissions by 2050 due to inadequate consideration of the interplay between current and future operations, and lack of feedback on the success of emissions reduction actions.
Innovation Solution
A computer-implemented method that utilizes short-term and long-term operational data to generate emissions optimization plans, incorporating feedback from previous actions, to adjust emissions controls and actions dynamically.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional emissions control systems are used, then emissions reduction actions are implemented, but they fail to efficiently achieve net zero emissions due to lack of consideration of interplay between current and future operations
Solution Approach 1:
The system segments emissions control into hierarchical levels: enterprise-level strategic planning, facility-level operational optimization, and asset-level real-time control. This segmentation allows each level to focus on specific time horizons and decision types, improving overall efficiency without requiring complete system redesign.
Solution Approach 2:
The system performs preliminary actions by generating strategic emissions reduction plans in advance that consider long-term operational impacts. These pre-planned actions are then executed at operational levels, allowing the system to proactively address emissions challenges rather than reactively responding to them.
2Reliability
If emissions control actions are implemented without feedback mechanisms, then short-term emissions reduction may occur, but long-term success of emissions reduction actions cannot be evaluated
Solution Approach 1:
The system implements multi-level feedback mechanisms where operational data flows upward to inform strategic planning, and strategic targets flow downward to guide operational decisions. This closed-loop feedback ensures that emissions reduction actions are continuously evaluated and adjusted based on actual performance versus planned targets.
Solution Approach 2:
The feedback system serves multiple functions simultaneously: it tracks compliance with emissions targets, evaluates effectiveness of reduction actions, identifies optimization opportunities, and informs both strategic and operational decision-making. This multi-functionality maximizes the value extracted from collected data.
3Ease of operation
If short-term operational data is optimized independently from long-term operational data, then immediate emissions control may improve, but overall cost-effectiveness decreases
Solution Approach 1:
The system adds the time dimension to emissions optimization by simultaneously considering short-term operational constraints and long-term strategic goals. This multi-dimensional approach ensures that immediate operational decisions are aligned with future emissions targets, preventing short-sighted optimizations that would increase long-term costs.
Solution Approach 2:
The system merges strategic planning and operational optimization into a unified framework where both time horizons are considered together. By combining long-term emissions targets with short-term operational data, the system generates coordinated action plans that are both operationally feasible and strategically aligned, improving cost-effectiveness.
Data Source
AI summary
Systems, apparatuses, methods, and computer program products for constrained emissions control, emissions optimization, and emissions planning are provided herein. In some embodiments, a computer-implemented method may include receiving operational data associated with one or more assets. In some embodiments, the operational data comprises short-term operational data and long-term operational data. In some embodiments, a computer-implemented method may include generating, based on applying the short-term operational data and the long-term operational data to an optimization model, a long-term emissions optimization plan. In some embodiments, a computer-implemented method may include generating, based at least on the long-term emissions optimization plan, a short-term emissions control. In some embodiments, a computer-implemented method may include initiating performance of one or more emissions optimization actions based at least in part on the long-term emissions optimization plan or the short-term emissions control.


