GHG Emission Derivation Apparatus Automates Intensity Selection
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Solution Overview
Problem
Current systems face a high processing load in deriving greenhouse gas (GHG) emission amounts for supply chains due to the complexity of extracting and classifying activity data across various scopes and categories, particularly in selecting appropriate emission intensities.
Innovation Solution
A GHG emission amount derivation apparatus and method that reduces processing load by allowing users to generate and reuse emission intensity formats, associate activity contents with emission intensities, and utilize a learning model to present reliable sets of scopes, categories, and emission intensities, thereby simplifying the calculation process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual assignment of emission intensities is performed for each activity content, then calculation accuracy can be maintained, but processing time and operational complexity increase significantly
Solution Approach 1:
The system pre-establishes emission intensity formats that define the relationship between activity contents and emission intensities before actual calculations are needed. These pre-configured formats allow the system to automatically retrieve and apply appropriate emission intensities without requiring manual assignment during processing, thus maintaining accuracy while reducing time consumption.
Solution Approach 2:
The system enables automatic self-assignment of emission intensities by allowing the calculation apparatus to autonomously select and apply appropriate emission intensities based on the activity contents and pre-established emission intensity formats. This eliminates the need for manual intervention in the emission intensity assignment process, reducing processing time while maintaining calculation accuracy through automated logic.
2Ease of operation
If emission intensity formats are created and reused, then ease of operation improves, but device complexity increases due to format management requirements
Solution Approach 1:
The emission intensity format serves multiple functions: it defines the relationship between activity contents and emission intensities, stores calculation parameters, and enables reusable templates for different calculation scenarios. By making the format multi-functional, the system reduces the need for multiple separate configurations and simplifies operation while managing complexity through a unified structure.
Solution Approach 2:
The system uses emission intensity formats as reusable templates that can be copied and applied to different activity contents and calculation scenarios. Instead of creating new configurations from scratch for each case, the system copies and adapts existing formats, which simplifies operation and reduces the cognitive load on users while managing system complexity through standardized templates.
3Productivity
If learning models are used to present emission intensity sets, then productivity increases by automating selection, but measurement precision may be affected by model accuracy
Solution Approach 1:
The learning model operates with feedback mechanisms that evaluate the suitability of selected emission intensities and allow for corrections. The system can present multiple potential emission intensity sets and receive feedback on which selections are most appropriate, enabling the model to learn from user corrections and improve its accuracy over time, thus maintaining precision while achieving automated high productivity.
Data Source
AI summary
A greenhouse gas (GHG) emission amount derivation apparatus may include: an acquisition unit which acquires first activity amount data indicating an activity content and an activity amount for each activity content for which a GHG emission amount is derived; a selection unit which selects a first emission intensity format corresponding to a type of the first activity amount data from among a plurality of emission intensity formats predetermined for each type of activity amount data, the plurality of emission intensity formats indicating an emission intensity for each activity content; a decision unit which decides at least one emission intensity for each activity content indicated in the first activity amount data, based on the first emission intensity format; and a derivation unit which derives a GHG emission amount for each activity amount for each activity content indicated in the first activity amount data, based on the at least one emission intensity.