Solar tracking system
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Solution Overview
Problem
Solar tracking systems face inefficiencies in energy generation due to shading from adjacent panels and persistent cloudy conditions, where existing systems fail to adaptively adjust panel orientations to maximize sunlight capture.
Innovation Solution
A solar tracking system that includes sensors to monitor irradiance and electrical current, and a controller to adjust panel orientations based on detected shading and cloudy conditions, using a backtracking algorithm to minimize shading and optimize energy generation by positioning panels in advantageous orientations during cloudy conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If solar panels are positioned to track the sun continuously, then energy generation is improved, but shading from adjacent panels increases reducing effectiveness
Solution Approach 1:
The solar tracking system dynamically adjusts panel orientation based on real-time sensor feedback about shading conditions. The controller modifies tracking behavior by reducing tilt angles when shading is detected, allowing panels to adapt their position continuously rather than following a fixed solar tracking algorithm. This dynamic adjustment resolves the contradiction by optimizing energy capture while avoiding harmful shading effects.
Solution Approach 2:
The system uses sensors to monitor shading conditions and feeds this information back to the controller, which then adjusts panel positioning accordingly. This closed-loop feedback mechanism enables the system to detect when adjacent panels are causing shading and automatically correct the orientation to minimize shading while maintaining optimal energy generation.
2Productivity
If solar panels maintain fixed orientation during cloudy conditions, then system complexity is reduced, but energy generation decreases due to suboptimal positioning
Solution Approach 1:
The system detects cloudy conditions through sensor readings and changes the tracking parameters accordingly. During cloudy conditions, the controller adjusts orientation angles to maximize diffuse light capture rather than following standard solar tracking algorithms optimized for direct sunlight. This parameter adjustment allows the system to adapt to changing atmospheric conditions without requiring completely different hardware or complex additional systems.
3Measurement precision
If advanced sky-tracking systems with additional sensors are used, then tracking precision is improved, but device complexity and cost increase
Solution Approach 1:
The system uses existing sensors already present in the solar installation (such as those monitoring panel performance and environmental conditions) to infer shading and cloudy conditions, rather than requiring dedicated sky-tracking sensors. The controller processes data from these existing sensors to determine optimal panel orientation, allowing the system to achieve adaptive tracking without adding complex external sensing equipment.
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
The system enhances energy generation by reducing shading effects and improving sunlight capture during cloudy conditions, achieving increased electrical output without the need for complex sky-tracking systems or additional sensors.
Implementation Method 1
one or more sensors configured to monitor at least one of irradiance and/or electrical current generated by the one or more rows of solar panels
Implementation Method 2
monitor at least one of irradiance and/or electrical current generated by the one or more rows of solar panels
Data Source
AI summary
A method may include orienting a set of solar power units in a first position in which rows of solar power units are shaded by adjacent rows of solar power units; and monitoring energy generated by the set of solar power units over a window of time, that includes from when the set of solar power units are oriented in the first position until a sun angle corresponds to none of the rows being shaded by the adjacent rows. The method may include identifying a knee in energy generation during the first window of time, where the knee indicates a transition from higher to lower rates of change of energy generation at a given solar angle. The method may include plotting a trajectory of future orientation positions over time of the set of solar power units that include an orientation and time corresponding to the given solar angle.