Production Plan Emission Estimation With Weighted Source Breakdown
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Solution Overview
Problem
Existing methods for estimating greenhouse gas emissions based on production plans do not provide granular insights into the contributions of different stages of industrial processes, making it difficult to implement effective mitigative measures to reduce emissions, especially when production plans vary.
Innovation Solution
A system and method that utilizes weighted distributions to estimate emissions at source level categories and contributing categories, correlating historical data with production plans to provide granular emission intensity estimates, and generates alerts or recommendations for modifying operating parameters to reduce emissions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing emission estimation methods are used, then overall emission quantities can be obtained, but granular insights into different process stages are not provided
Solution Approach 1:
The patent segments the industrial process into multiple contributing categories (e.g., heating, cooling, transportation) and further divides each category into source level components. This hierarchical segmentation allows the system to provide granular emission estimates for each process stage while maintaining overall emission totals, thereby resolving the contradiction between measurement precision and information loss.
2Adaptability or versatility
If production plans vary, then flexibility in production is improved, but accurate emission estimation becomes more difficult
Solution Approach 1:
The system dynamically adjusts emission estimates based on varying production plans by receiving updated production data and recalculating emissions using the established contributing category framework. This dynamic approach maintains measurement precision across different production scenarios while preserving production flexibility.
Solution Approach 2:
The system incorporates feedback mechanisms where emission estimates are continuously refined based on actual production data and historical information. This feedback loop ensures accurate emission estimation even as production plans change, resolving the contradiction between adaptability and measurement precision.
3Measurement precision
If weighted distributions are used for granular estimation, then emission insights are improved, but system complexity increases
Solution Approach 1:
The system manages complexity by segmenting the calculation into standardized contributing categories with predefined weight distributions. Each category follows a consistent calculation framework, which simplifies the overall complex task of granular emission estimation while maintaining measurement precision.
Data Source
AI summary
Approaches for estimating emission intensity based on a proposed production plan are described. In an example, the emission intensity may be determined based on a weighted distribution of greenhouse gas emissions corresponding to an emission source. Emission source may further include a contributing category, with the contributing category further comprising a source level category. In an example, the weighted distribution may correspond to each of the contributing category and the source level category. In such a case, a first weighted distribution corresponding to a source level category indicates the contribution of greenhouse gas emissions by the source level category to the contributing category. In a similar manner, a second weighted distribution corresponding to the contributing category may depict the contribution of greenhouse gas emissions to the emission source.