Carbon Footprint Inventory Platform for Multi-Source Emissions Data
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Solution Overview
Problem
Existing product/service carbon footprint inventory methods require significant manpower and time due to the need for repeated data collection and entry across multiple spreadsheets or electronic platforms, especially when calculating emissions for multiple product lines and part numbers, leading to inefficiencies in data management and reporting.
Innovation Solution
A high-efficiency product carbon footprint inventory system and method utilizing a server system with modules for data collection, calculation, and reporting, which integrates data from various sources to automate the calculation of carbon emissions across the entire product life cycle, including raw material acquisition, manufacturing, sales, distribution, use, and disposal, and generates stakeholder-specific reports.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional spreadsheet-based methods are used for carbon footprint calculation, then calculation accuracy can be maintained, but significant manpower and time are required due to repeated data collection and entry
Solution Approach 1:
The patent merges multiple separate spreadsheets and data sources into a single integrated system. The system consolidates data from procurement systems, production systems, sales systems, and emission factor databases into one unified platform, eliminating the need for repeated data collection and entry across multiple separate tools. This integration directly addresses the productivity-time contradiction by reducing manual effort while maintaining calculation accuracy.
Solution Approach 2:
The system implements automated data collection and calculation functions that operate without continuous manual intervention. Once configured, the system automatically retrieves data from connected systems, performs calculations using predefined formulas and emission factors, and generates reports. This self-service capability eliminates the need for manual data entry and repetitive calculations, significantly improving efficiency while reducing time consumption.
2Reliability
If manual data collection across multiple spreadsheets is performed, then comprehensive carbon footprint data can be gathered, but data management complexity increases significantly
Solution Approach 1:
The patent creates a universal platform that handles multiple functions within a single system. The system can collect data from various sources (procurement, production, sales), perform different types of calculations (product carbon footprint, organizational inventory), generate multiple report formats, and manage emission factor databases. This multi-functionality reduces data management complexity by consolidating what would otherwise require multiple separate tools and processes into one unified system.
Solution Approach 2:
The system acts as an intermediary layer between various data sources and the final carbon footprint calculations. It provides standardized interfaces and data transformation capabilities that simplify the integration of data from different systems with varying formats and structures. This intermediary function maintains data completeness while reducing the complexity of direct integration between multiple spreadsheets and data sources.
3Measurement precision
If separate calculations are performed for each product line and part number, then accurate individual carbon footprints can be obtained, but the calculation process becomes extremely time-consuming
Solution Approach 1:
The patent segments the calculation process into hierarchical levels: organizational inventory calculations, product carbon footprint calculations, and component-level allocations. This segmentation allows the system to perform calculations at different granularities efficiently. For individual product accuracy, the system uses detailed component-level data and allocation methods, while for overall productivity, it can aggregate results at higher levels or perform batch processing across multiple products simultaneously.
Solution Approach 2:
The system performs preliminary calculations and data preparation in advance. It pre-calculates emission factors, prepares allocation keys, and organizes data structures before actual product carbon footprint calculations are needed. This preliminary action enables faster individual product calculations by having the computational framework and data ready, thus maintaining measurement precision while improving calculation speed and productivity.
Data Source
AI summary
A high-efficiency product carbon footprint inventory system and a high-efficiency product carbon footprint inventory method are provided. The high-efficiency product carbon footprint inventory system includes a server system to perform calculation, storage, and data transmission in the high-efficiency product carbon footprint inventory system. The server system includes an operational boundary database and an energy resource setting module for receiving data provided by multiple data sources, including operational boundary organizational greenhouse gas inventory data, a production material list or a procurement material list, work order production information, data of operational boundary sales record, and supplier emission factor data of an operational boundary. The server system uses a computer system to implement the high-efficiency product carbon footprint inventory method, calculate an organization-wide product/service carbon footprint, and issue carbon-related management documents.