Building Carbon Control With Integrated Capture and Energy Optimization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Buildings contribute significantly to carbon dioxide emissions, necessitating effective management and reduction strategies to combat climate change, while also optimizing carbon consumption.
Innovation Solution
Implementing carbon management systems that integrate processing circuitry with carbon site control modules, carbon capture control modules, and building management systems, utilizing machine learning and optimization algorithms to monitor and control carbon dioxide generation, capture, and storage, and optimize energy resource utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If carbon management systems are implemented to reduce carbon dioxide emissions, then environmental benefit is improved, but system complexity and cost increase
Solution Approach 1:
The patent combines carbon capture control, building management, and optimization functions into an integrated carbon management system. The processing circuitry merges data from multiple sources (sensors, building systems) and coordinates multiple functions (capture, storage, optimization) into a unified system that reduces overall complexity compared to separate systems.
Solution Approach 2:
The carbon management system performs multiple functions through a single integrated platform: monitoring carbon dioxide levels, controlling capture processes, managing building operations, and optimizing energy consumption. This multi-functionality reduces the need for separate specialized systems and their associated complexities.
2Object-affected harmful factors
If advanced control modules are integrated for carbon capture and management, then carbon emission reduction effectiveness is improved, but ease of operation deteriorates
Solution Approach 1:
The carbon management system incorporates automated control algorithms and optimization routines that operate autonomously based on sensor data and pre-programmed parameters. The system self-adjusts capture rates, coordinates with building management systems, and optimizes energy consumption without requiring constant manual intervention, thereby maintaining effectiveness while improving ease of operation.
Solution Approach 2:
The system continuously monitors carbon dioxide levels, energy consumption, and system performance, then uses this feedback to automatically adjust operations. The processing circuitry analyzes real-time data and modifies control parameters to maintain optimal performance, reducing the need for manual operation while ensuring effective emission reduction.
3Loss of energy
If continuous monitoring and optimization are performed, then energy efficiency is improved, but energy consumption by the system increases
Solution Approach 1:
The optimization module dynamically adjusts operational parameters such as capture rates, processing speeds, and system configuration based on real-time conditions. By changing parameters optimally rather than operating at fixed high levels, the system achieves high energy efficiency in building operations while minimizing its own energy consumption through adaptive rather than maximal operation.
Solution Approach 2:
The system transitions from static operation to dynamic adaptation, continuously adjusting its behavior based on environmental conditions, building needs, and energy availability. This dynamic operation allows the system to optimize building energy efficiency while consuming minimal energy itself by operating only as intensively as necessary to achieve its goals.
Data Source
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.