CCUS Carbon-Negative Control for Consistent Carbon Fixation
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Solution Overview
Problem
Conventional Carbon Capture, Utilization and Storage (CCUS) methods face inconsistencies in judgment standards, equipment parameter settings, and difficulty in quantifying carbon-fixation and carbon-reduction benefits, making it challenging to incorporate into carbon trading markets.
Innovation Solution
A comprehensive energy-saving and carbon-negative system with intelligent modules for CCUS planning and carbon trading, utilizing cyber physical agents and optimization algorithms to standardize operations and quantify carbon-fixation benefits, facilitating carbon trading.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual judgment and expert experience are used to determine CCUS progress stages and equipment parameters, then operational flexibility and adaptability are maintained, but judgment standards become inconsistent and reliability decreases
Solution Approach 1:
The system implements automated feedback loops where sensor data from the CCUS process continuously feeds into the control system, which automatically adjusts equipment parameters and determines progress stages based on predefined criteria. This closed-loop feedback mechanism eliminates manual judgment variability while maintaining operational flexibility through adaptive control algorithms.
Solution Approach 2:
The patent replaces manual mechanical judgment processes with automated electronic systems. Sensors, processors, and control algorithms substitute human operators in determining CCUS progress stages and setting equipment parameters, ensuring consistent and reliable automated decision-making while preserving system adaptability through programmable logic.
2Ease of manufacture
If conventional CCUS methods are implemented without systematic quantification, then implementation simplicity is maintained, but carbon-fixation and carbon-reduction benefits cannot be specifically quantified
Solution Approach 1:
The system introduces intermediate measurement devices and calculation layers between the CCUS process and carbon trading markets. Sensors measure physical quantities (CO2 concentration, flow rate), intermediate processors calculate carbon-fixation amounts based on process data, and these quantified results are then transmitted to carbon trading platforms, enabling precise measurement without complicating the core CCUS operation.
3Reliability
If automated intelligent platforms are implemented to standardize CCUS operations, then judgment consistency and measurement precision improve, but system complexity increases
Solution Approach 1:
The automated intelligent platform is segmented into modular functional units: sensor modules for data collection, processing modules for analysis, control modules for parameter adjustment, and communication modules for data transmission. Each module performs a specific function independently, reducing overall system complexity while maintaining high judgment consistency through standardized inter-module interfaces.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system provides consistent standards, reduces human error, optimizes equipment parameters, and quantifies carbon-fixation benefits, enabling carbon neutrality or negativity, and maximizes CCUS benefits while integrating with carbon trading markets.
Implementation Method 1
The carbon-negative device (200) is configured to perform carbon-fixation according to a carbon-negative device parameter
Data Source
AI summary
A Comprehensive Energy-Saving and Carbon-Negative system (CESCN) includes a Carbon-negative Emissions Device (CED) based on Carbon Capture, Utilization and Storage (CCUS). CED can obtain a carbon emission reduction target from a current Industry 4.2-Green intelligent Manufacturing (14.2-GiM) system, and then collect the material consumption and equipment operation energy consumption data of the CCUS process of CED through a Cyber Physical Agent (CPA) which is the Internet of Things (IoT) component. An intelligent method is used to identify the execution progress of CCUS and improve the automation and intelligent operation of CCUS. The CESCN can effectively reduce the manpower requirements of implementing CCUS and the overall energy consumption of the production line. In addition, it can calculate the amount of the carbon reduction, the amount of the carbon offset and amount of feasible carbon trading according to the amount of carbon fixation.


