
Comparison of 3D Backtracking and Traditional Backtracking Algorithms in Solar Plants
Overview of Traditional Backtracking
Traditional backtracking algorithms in solar plants are designed to minimize shading between rows of solar panels. When mutual shadings begin, the tracking angle no longer follows the sun to prevent one row from shading another. However, this can lead to suboptimal orientation and reduced energy yield.
Overview of 3D Backtracking
3D backtracking algorithms, like Backtracking 3D, are more sophisticated as they optimize energy yield by considering the 3D environment around each tracker. These algorithms calculate the optimal tilt angle for each tracker based on its surroundings, adapting to both East-West and North-South terrain slopes.
Key Differences
- Adaptability: 3D backtracking adapts to diverse terrain types, including variations in slope and minor edge shading, which traditional systems might not handle efficiently.
- Shading Approach: 3D backtracking balances energy production by tolerating minor shading, whereas traditional systems aim to eliminate all shadows, sometimes at the cost of optimal sun orientation.
- Local vs. Centralized Control: Some advanced 3D backtracking algorithms, like Suntrack’s, run locally on each tracker control unit (TCU), reducing reliance on external systems and improving reliability.
- Energy Gain: 3D backtracking can lead to higher energy yields, offering up to 4% more annual output compared to traditional methods and significantly boosting production during sunrise and sunset.
Advantages of 3D Backtracking
- Improved Energy Output: 3D backtracking can increase overall energy production by optimizing tracker angles based on their individual environments.
- Flexibility: Suitable for various terrains, including seemingly flat areas with small installation deviations.
- Reliability: Localized control systems reduce potential communication issues and hardware requirements.
Conclusion
3D backtracking offers superior adaptability and energy yield potential compared to traditional backtracking by leveraging detailed spatial analysis and localized control. However, it requires more sophisticated hardware and software capabilities to implement effectively.
Original article by NenPower, If reposted, please credit the source: https://nenpower.com/blog/how-does-3d-backtracking-compare-to-traditional-backtracking-algorithms/
