Autonomous Power Unit Relocation for Shadowed Urban Sites
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Solution Overview
Problem
Existing autonomous power generation units face challenges in densely populated areas where fixed locations may be shadowed or blocked, leading to insufficient power generation due to variations in wind and sunlight, necessitating a need for optimized relocation to enhance power generation efficiency.
Innovation Solution
A method and system for selecting an initial power generation location, forecasting future power generation status, and relocating units to alter the generation status, using a cost function that minimizes energy loss and maximizes power output by optimizing placement based on wind and sunlight conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the autonomous power generation unit is kept at a fixed location, then the device complexity is reduced, but the power generation efficiency deteriorates due to shadowing and blocking in densely populated areas
Solution Approach 1:
The patent applies the dynamics principle by enabling the autonomous power generation unit to move dynamically between different locations rather than remaining fixed. The system uses a processor to determine optimal locations based on environmental conditions (sunlight exposure, wind flow) and automatically relocates the power generation unit to maximize power generation efficiency while avoiding shadowed or blocked areas in densely populated environments
2Power
If the autonomous power generation unit is relocated frequently to optimize power generation, then the power output is maximized, but the energy loss increases due to relocation costs
Solution Approach 1:
The patent applies preliminary action by using a processor to forecast future power generation status and determine optimal locations in advance before relocation is needed. The system predicts environmental conditions and identifies the best locations for power generation, allowing the unit to relocate proactively to positions that will maximize power output while minimizing unnecessary movement and associated energy losses
Solution Approach 2:
The system implements feedback by continuously monitoring current power generation performance, comparing it with forecasted future conditions, and using this information to make informed relocation decisions. The processor analyzes real-time data about environmental conditions and power generation status, then determines whether relocation to a different location would improve overall power output while accounting for the energy cost of movement
3Adaptability or versatility
If the autonomous power generation unit operates in densely populated areas, then the adaptability is improved, but the power generation efficiency deteriorates due to shadowing and blocking
Solution Approach 1:
The system maintains adaptability to densely populated environments by dynamically adjusting the location of the power generation unit. The processor continuously evaluates environmental conditions including sunlight exposure and wind flow in urban settings, and relocates the unit to optimal positions that overcome shadowing and blocking effects while enabling the system to operate successfully in complex, populated areas
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enhances power generation efficiency by maximizing sunlight and wind exposure while minimizing relocation energy costs, thereby optimizing power output and reducing energy loss.
Implementation Method 1
an autonomous power generation unit might include a wind turbine for converting wind power to electricity
Implementation Method 2
a solar panel for converting sunlight to electricity
Implementation Method 3
a water turbine for converting water power to electricity
Data Source
AI summary
An embodiment selects, from a set of candidate locations within a power generation site, a first power generation location. An embodiment causes generation of electricity, by a first power generation unit, at the first power generation location. An embodiment forecasts, during the generation of electricity, a future power generation status of the first power generation unit at the first power generation location. An embodiment causes relocating, responsive to the future power generation status, of the first power generation unit to a second power generation location, the relocating altering the future power generation status.