MEUP Tracking with Surplus Energy Storage and Load Matching
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Solution Overview
Problem
Existing green energy systems inefficiently utilize renewable energy sources due to the practice of blind maximum power point tracking (MPPT), which fails to match energy extraction devices to the characteristics of energy production, preparation, and delivery, leading to suboptimal energy utilization efficiency.
Innovation Solution
Implementing maximum energy utilization point (MEUP) tracking by decoupling energy production and extraction, incorporating surplus energy extraction devices to store surplus energy in reservoirs, and optimizing energy delivery to match load demand.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If fixed power settings are used in exercise equipment, then device complexity is reduced, but energy utilization efficiency deteriorates because users cannot operate at their specific maximum energy utilization point
Solution Approach 1:
The patent implements dynamic power settings that automatically adjust based on real-time monitoring of user physiological parameters (heart rate, power output, cadence). The system transitions from static fixed power levels to dynamic adaptive power levels that track the user's maximum energy utilization point, resolving the contradiction between simplicity and efficiency.
Solution Approach 2:
The system incorporates continuous feedback loops where sensors monitor user performance metrics, the processor analyzes this data to determine current energy utilization efficiency, and the system automatically adjusts power delivery accordingly. This closed-loop feedback mechanism enables the system to maintain optimal energy utilization without requiring complex manual adjustments by the user.
2Adaptability or versatility
If multiple fixed power levels are provided, then user adaptability is improved, but device complexity increases and users still cannot precisely operate at their maximum energy utilization point
Solution Approach 1:
The system performs self-adjustment by automatically monitoring user physiological responses and autonomously modifying power delivery to maintain optimal energy utilization. This eliminates the need for users to manually select from multiple fixed power levels or for the system to provide complex preset options, as the system serves itself by adapting to each user's unique characteristics in real-time.
Solution Approach 2:
The patent dynamically changes operational parameters (power output, resistance, cadence) based on real-time user performance data. Instead of providing multiple fixed power levels, the system continuously adjusts power delivery parameters to track the user's maximum energy utilization point, achieving adaptability through continuous parameter optimization rather than discrete level selection.
3Use of energy by moving object
If users manually adjust power settings to find their maximum energy utilization point, then energy utilization efficiency can be improved, but time consumption increases and the process is cumbersome
Solution Approach 1:
The system performs preliminary assessment by monitoring user physiological parameters during the warm-up phase and before正式 exercise begins. This preliminary data collection enables the system to pre-calculate optimal power settings and automatically configure them before the user needs to start exercising, eliminating the time-consuming manual trial-and-error process while ensuring optimal energy utilization from the start.
Solution Approach 2:
The patent replaces the mechanical/manual process of adjusting power settings with an automated electronic control system. Sensors, processors, and actuators work together to automatically adjust power delivery based on real-time user feedback, substituting the manual mechanical adjustment process with an automated electromechanical system that rapidly determines and maintains optimal energy utilization without user intervention.
4Use of energy by moving object
If continuous power monitoring and adjustment is implemented, then energy utilization efficiency is maximized, but device complexity and cost increase
Solution Approach 1:
The system implements multi-functional components that serve multiple purposes: the same sensors monitor both safety parameters and performance optimization metrics, the processor handles both user interface management and energy utilization calculations, and the control mechanism adjusts both safety limits and optimal power delivery. This universal approach maximizes energy utilization efficiency while minimizing device complexity by avoiding dedicated separate systems for each function.
Data Source
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AI summary
When one operates an energy system at its maximum energy utilization point (MEUP) consistently, one can receive the most amount of energy benefit from the system. The practical MEUP tracking technologies operate generator at a voltage for maximum power extraction and also to produce near-maximum power; incorporate the invented surplus energy extraction devices to near-perfectly extract all power generated; temporarily store the surplus energy into designed energy reservoirs; add the invented supply devices to combined the energy from the extractor and from the reservoirs; prepare and deliver the right amount of power to exactly satisfy the instantaneous demand at all time. Thus effectuates finding and tracking the MEUP of the energy system.