Carbon Capture Filter Monitoring With Wireless Capture Scoring
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Solution Overview
Problem
Existing systems lack effective and efficient methods for monitoring and optimizing the performance of ambient air carbon capture devices, particularly in outdoor environments where environmental conditions can affect carbon capture efficiency.
Innovation Solution
A modular carbon capture device with sensors and a controller that monitors the carbon capture filter's mass or weight, communicates wirelessly over a network, and calculates a capture score based on real-time data to optimize performance and alert users when replacement is needed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If real-time monitoring of carbon capture filter mass is implemented, then carbon capture performance optimization is improved, but device complexity increases
Solution Approach 1:
The monitoring device automatically monitors its own carbon capture filter mass and performs self-diagnosis without requiring external intervention. The processor automatically calculates capture scores and determines filter replacement needs, enabling the system to serve itself in monitoring and optimization tasks.
Solution Approach 2:
The system continuously monitors filter mass and provides feedback through capture scores that indicate filter performance status. This feedback mechanism allows the system to automatically adjust and optimize carbon capture operations based on real-time filter condition data.
2Ease of operation
If automated capture score calculation and filter replacement alerts are implemented, then operational efficiency is improved, but device complexity increases
Solution Approach 1:
The system automatically calculates capture scores and generates filter replacement alerts without requiring manual intervention. The processor autonomously processes mass data, performs calculations, and communicates alert information, making the system self-operating in terms of monitoring and notification.
Solution Approach 2:
Manual monitoring and decision-making processes are replaced with automated electronic processing. The processor substitutes human operators in calculating capture scores and determining filter replacement timing, while wireless communication replaces manual notification methods.
3Speed
If wireless communication for real-time data transmission is implemented, then monitoring responsiveness is improved, but energy consumption increases
Solution Approach 1:
The system transmits data periodically rather than continuously, sending mass measurements and capture score information at scheduled intervals. This periodic transmission approach maintains monitoring responsiveness while significantly reducing overall energy consumption compared to continuous real-time streaming.
Data Source
AI summary
Aspects herein provide systems, devices, methods, and media for monitoring ambient air carbon capture using a device with wireless communication capabilities. Using a wireless network, a carbon capture of a device or system can be monitored.