Power Source Operation Planning for Fuel and Emissions Reduction
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Solution Overview
Problem
Power systems often operate in a non-optimal manner due to manual configuration, leading to suboptimal fuel consumption and emissions, despite existing optimizations for hybrid power systems not addressing the broader range of power sources and systems effectively.
Innovation Solution
A system and method that determine configuration information, operation parameters, and performance criteria of power sources to generate an optimized operation plan using an optimization analysis technique, such as particle swarm optimization, to minimize fuel consumption, maintenance costs, and emissions, and maximize power output.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual configuration is used for power systems, then operational simplicity is maintained, but fuel consumption efficiency deteriorates
Solution Approach 1:
The patent replaces manual mechanical configuration with an automated computer-based optimization system that uses algorithms to determine optimal power source configurations, thereby improving fuel efficiency while eliminating the need for manual intervention
Solution Approach 2:
The optimization system enables the power system to automatically self-optimize its configuration and operation parameters without external manual input, allowing the system to autonomously improve its fuel consumption efficiency
2Device complexity
If manual configuration is used for power systems, then system complexity is reduced, but emissions performance deteriorates
Solution Approach 1:
The patent introduces a computer-based optimization system that automatically determines optimal configurations to minimize emissions, replacing manual configuration while managing system complexity through software-based solutions
Solution Approach 2:
The optimization system dynamically adjusts operational parameters such as power source selection, load distribution, and operating points to minimize harmful emissions while maintaining system functionality
3Reliability
If existing hybrid power system optimizations are applied, then hybrid system performance is improved, but applicability to broader power sources deteriorates
Solution Approach 1:
The patent develops a universal optimization framework that can handle multiple types of power sources including but not limited to hybrid systems, making the solution applicable to a broader range of power system configurations while maintaining performance improvements
Data Source
AI summary
A system may determine configuration information associated with a power system for a work site that includes one or more power sources. The system may determine respective operation parameters of the one or more power sources and one or more performance criteria associated with the power system. The system may determine a baseline operation plan for the power system. The system may identify an optimization analysis technique and may process, using the optimization analysis technique, the configuration information associated with the power system, the respective operation parameters of the one or more power sources, and the one or more performance criteria associated with the power system to generate the optimized operation plan for the power system. The system may cause, based on the baseline operation plan for the power system and the optimized operation plan for the power system, one or more actions to be performed.