Building Carbon Control Modules for Capture and Storage Coordination

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Solution Overview

Problem

Buildings contribute significantly to carbon dioxide emissions, necessitating effective management and reduction strategies to address climate change, while also consuming carbon resources efficiently.

Innovation Solution

Carbon management systems and optimization systems that include processing circuitry coupled with carbon site control modules, carbon capture control modules, and building management systems, utilizing machine learning and real-time control to optimize carbon capture, storage, and consumption.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Object-generated harmful factors

If carbon capture and storage systems are implemented in buildings, then CO2 emissions are reduced, but device complexity increases

Engineering Contradiction:
ImproveCO2 emissionsVSAvoidsystem complexity
Core Design Contradiction:
Object-generated harmful factorsVSDevice complexity

Solution Approach 1:

The building management system is enhanced to perform multiple functions including carbon capture control, energy management, and storage monitoring through integrated processing circuitry that handles both HVAC operations and carbon sequestration processes

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The carbon management system is nested within the existing building management infrastructure, with carbon capture control modules integrated into the building's current operational systems, allowing carbon reduction functionality to be embedded without requiring completely separate systems

Inventive Principle:
Principle #7Nested doll (Nesting)

2Productivity

If real-time monitoring and machine learning algorithms are integrated, then carbon management optimization is improved, but device complexity increases

Engineering Contradiction:
Improvecarbon management efficiencyVSAvoidsystem complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The machine learning algorithms automatically optimize carbon capture and storage operations by analyzing real-time data from sensors and adjusting system parameters without requiring manual intervention, allowing the system to self-optimize its performance

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

Real-time monitoring systems provide continuous feedback on carbon levels, energy consumption, and storage capacity to the control algorithms, enabling dynamic adjustment of carbon management strategies based on actual system state and performance

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS12367498B2Carbon management systems and method for management of carbon use and/or production in buildings
Publication Date: 2025.07.22 CARBONQUEST INC
  • US12367498B2 patent drawing
  • US12367498B2 patent drawing
  • US12367498B2 patent drawing

AI summary

Carbon management systems and carbon optimization systems are provided. The systems can include: processing circuitry operably coupled to a carbon site control module, wherein the carbon site control module is operably engaged with one or more of a carbon resource module, a carbon capture control module, and/or a building management system.