Greenhouse Gas Emission Trend Prediction for Plant Decarbonization
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Solution Overview
Problem
Conventional information management systems in plants lack effectiveness in facilitating decarbonization efforts, as on-site users struggle to manage operations to reduce greenhouse gas emissions without clear insights into energy consumption and emission-related device operations.
Innovation Solution
An information processing method and system that acquire measurement values of greenhouse gas emissions, calculate energy consumption, predict future trends, and display images representing past and predicted trends to users, enabling proactive measures to reduce emissions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional information management systems are used to collect and consolidate operating condition information, then information consolidation is achieved, but the system lacks effectiveness in facilitating decarbonization efforts due to insufficient emission-related insights
Solution Approach 1:
The system segments information into distinct categories: operating condition information from sensors, calculated energy consumption data, and predicted greenhouse gas emission trends. This segmentation allows targeted presentation of emission-related insights separate from general operational data, directly addressing the lack of decarbonization support capability while maintaining comprehensive information collection.
Solution Approach 2:
The system adds a temporal dimension by displaying both past emission trends and predicted future trends simultaneously. This dimensional expansion provides operators with historical context and future projections, enabling proactive decarbonization decisions rather than merely reacting to current emission levels.
2Adaptability or versatility
If detailed emission data and prediction algorithms are added to provide clear insights, then decarbonization effectiveness improves, but system complexity increases
Solution Approach 1:
The information processing apparatus performs multiple functions: collecting sensor data, calculating energy consumption, predicting emissions, and presenting results. By consolidating these diverse functions into a single system, the patent avoids the complexity of multiple separate systems while providing comprehensive decarbonization support.
Solution Approach 2:
The system introduces an information processing apparatus as an intermediary between raw sensor data and operator decision-making. This intermediary automatically processes, calculates, and presents emission-related information, reducing the complexity burden on operators while enhancing decarbonization capabilities.
3Loss of information
If real-time measurement and prediction of greenhouse gas emissions are implemented, then actionable insights are provided, but information processing requirements increase
Solution Approach 1:
The system focuses on processing and displaying only the most critical emission-related information rather than analyzing every possible operational parameter. By selectively processing data that directly impacts decarbonization decisions, the system provides actionable insights while minimizing unnecessary information processing energy consumption.
Data Source
AI summary
Plant operation to achieve decarbonization is made easier. In an information processing method for an information processing apparatus including a controller, the controller is configured to acquire a measurement value of a physical quantity on greenhouse gas emissions, the measurement value being measured by a sensor at a plant for process manufacturing, acquire, based on the acquired measurement value, the amount of the greenhouse gas emissions integrated in a predetermined period, predict a future trend in the amount of the greenhouse gas emissions, based on a past trend, and control a display to display an image representing the past trend and the predicted future trend in the amount of the greenhouse gas emissions.