Cloud Carbon-Energy Management for Net-Zero Manufacturing
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Solution Overview
Problem
Current carbon footprint calculations in manufacturing are imprecise and not integrated with energy management systems, leading to inefficiencies in achieving net zero goals, and intelligent manufacturing is not effectively integrated with carbon and energy management.
Innovation Solution
A hybrid system and method that utilizes cyber physical agents to collect data from factory and production equipment, integrating carbon footprint information into intelligent energy management through a cloud platform, performing operations such as carbon disclosure, reduction, neutrality, energy consumption prediction, and intelligent factory planning to achieve net zero.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual carbon inventory calculation is used to comply with ISO14064 and ISO14067, then carbon footprint information can be obtained, but the calculation precision is low and the process is complex
Solution Approach 1:
The patent merges carbon management and energy management into a unified hybrid system. The carbon management module and energy management module are integrated through a cloud platform, allowing automated data exchange and coordinated optimization. This integration resolves the contradiction by reducing manual intervention while improving calculation precision through automated metering and real-time data collection from production equipment.
Solution Approach 2:
The system enables self-service through automated carbon footprint calculation using real-time energy consumption data from smart meters and production data from manufacturing equipment. The cloud platform automatically performs carbon conversion calculations without manual intervention, eliminating the need for manual carbon inventory compilation while improving accuracy through continuous automated monitoring and calculation.
2Adaptability or versatility
If carbon management and energy management systems operate independently, then each system can be implemented separately, but the integration between carbon footprint and energy management is insufficient
Solution Approach 1:
The patent merges carbon management and energy management into a unified hybrid system. The carbon management module and energy management module are integrated through a cloud platform, allowing automated data exchange and coordinated optimization. This integration resolves the contradiction by reducing manual intervention while improving calculation precision through automated metering and real-time data collection from production equipment.
3Productivity
If intelligent manufacturing systems focus on production efficiency, then productivity is improved, but carbon footprint calculation and net zero integration are neglected
Solution Approach 1:
The hybrid system performs multiple functions simultaneously: it monitors production parameters for intelligent manufacturing optimization, tracks energy consumption for carbon footprint calculation, and provides net zero verification. The cloud platform serves as a universal platform handling production data, energy data, and carbon management tasks, eliminating information loss by integrating all these functions into a single system that maintains productivity while capturing carbon emission information.
4Measurement precision
If manual estimation of machine operation ratio is used for carbon calculation, then the process is simple, but the carbon emission calculation is not objective and accurate
Solution Approach 1:
The system enables self-service through automated carbon footprint calculation using real-time energy consumption data from smart meters and production data from manufacturing equipment. The cloud platform automatically performs carbon conversion calculations without manual intervention, eliminating the need for manual carbon inventory compilation while improving accuracy through continuous automated monitoring and calculation.
Solution Approach 2:
The system implements feedback mechanisms where carbon footprint calculation results are fed back to the energy management module, which then adjusts energy allocation and production scheduling to reduce carbon emissions. This closed-loop feedback ensures objective and accurate carbon emission calculation while maintaining high automation levels, as the system continuously monitors and adjusts based on real-time data.
Data Source
AI summary
A hybrid method for green intelligent manufacturing (GiM) combines the carbon reduction and the energy saving into the intelligent manufacturing based Industry 4.1 cloud platform. GiM assists companies to achieve the goal of net zero transition and help them advance to Industry 4.2 as soon as possible by simultaneously taking carbon footprint and energy issues into account. GiM collects large volumes of essential data (including carbon footprint) via cyber physical agents (CPAs), and sends them to two critical services of carbon management and intelligent energy management system (iEMS) deployed on the cloud platform. The two critical services optimize the energy dispatch schedule by strictly following the requirements of energy saving, carbon reduction, and net zero. Then, the state of zero defects of intelligent manufacturing achieved in Industry 4.1 can be upgraded to net zero of GiM in Industry 4.2.