Blockchain Emissions Management Terminal
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Solution Overview
Problem
Current methods for calculating and managing greenhouse gas emissions across the entire supply chain (SCOPE 3) are time-consuming and inefficient due to varying data requirements and management methods among businesses, hindering operational efficiency.
Innovation Solution
A method utilizing a management terminal that determines energy consumption data from business terminals, calculates greenhouse gas emissions using machine learning for image analysis of invoice information, and manages these emissions across the supply chain through a public blockchain network, enabling automated transaction recording and emissions trading without third-party intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual data collection and calculation methods are used for SCOPE 3 emissions, then comprehensive supply chain emissions data can be obtained, but the process becomes extremely time-consuming and labor-intensive
Solution Approach 1:
The patent replaces manual mechanical data collection and calculation processes with automated computer-based systems. The management terminal automatically collects energy consumption data from multiple SCOPEs, performs emissions calculations using standardized methods, and manages the data without human intervention, thus resolving the contradiction between comprehensive measurement and time consumption.
Solution Approach 2:
The system enables automated self-service emissions management where the management terminal autonomously collects data from business terminals, calculates emissions based on energy consumption, and generates management reports without requiring manual human effort for each calculation cycle.
2Productivity
If standardized emissions management system is implemented across multiple businesses, then operational efficiency improves, but system complexity increases due to varying data requirements
Solution Approach 1:
The management terminal is designed as a universal system that can handle emissions data from multiple different SCOPEs (first business, second business, etc.) with varying data requirements. It performs multiple functions including data collection, validation, calculation, and management through a single integrated platform, reducing the need for separate systems for each business type.
Solution Approach 2:
The system manages varying data parameters from different SCOPEs by dynamically adjusting calculation parameters and data requirements based on the specific SCOPE being processed. The management terminal adapts to different energy consumption data formats and calculation methods while maintaining standardized emissions output.
Data Source
AI summary
A method of managing greenhouse gas emissions, according to one embodiment of this invention, comprises determining information regarding energy consumption based on information input by a business terminal of a first business; calculating the amount of greenhouse gas emissions based on the information on the amount of energy used; and managing the information on greenhouse gas emissions entered by a business terminal of a second business that is different from the first business as the greenhouse gas emissions of the first business.


