Intelligent PV Module Stowing for Hail Mitigation
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Solution Overview
Problem
Current solar panel tracking systems lack effective methods to mitigate hail damage, leading to increased insurance premiums and potential catastrophic losses due to insufficient hail modeling and historical data, resulting in higher deductibles and reduced insurance participation for solar sites.
Innovation Solution
An intelligent stowing system that uses weather forecasting data to predict hail events, determining a stowing score based on hail size and wind speed, and adjusts the tilt and orientation of photovoltaic modules to minimize hail impact by facing the modules in the same or opposite direction of the wind, depending on wind speed and hail size.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If PV modules are mounted on solar trackers to maximize sunlight reception, then energy generation efficiency is improved, but vulnerability to hail damage increases
Solution Approach 1:
The system performs preliminary actions by monitoring weather forecasts and predicting hail events before they occur. When a hail event is predicted, the controller proactively adjusts the PV modules to a stowed position (reduced tilt angle) in advance, allowing them to better withstand hail impact. This preliminary repositioning resolves the contradiction by maintaining productivity during normal operation while preemptively reducing vulnerability when hail is forecasted.
Solution Approach 2:
The system implements dynamic adjustment of PV module orientation based on real-time weather conditions. The controller continuously monitors weather data and adjusts the tilt angle and azimuth of modules accordingly - maintaining optimal sun-tracking angles during clear conditions for maximum energy generation, and transitioning to protective stowed positions when hail is predicted. This dynamic behavior resolves the contradiction by adapting the system's configuration to balance productivity and damage resistance based on environmental conditions.
2Reliability
If PV modules are stowed to mitigate hail damage, then reliability is improved, but energy generation is reduced
Solution Approach 1:
The system employs periodic action by transitioning PV modules between operational and protective states based on weather conditions. During normal conditions, modules maintain optimal tilt angles for energy generation. When hail is forecasted, the controller periodically adjusts modules to stowed positions for protection, then returns them to operational positions after the hail event passes. This periodic switching resolves the contradiction by limiting productivity loss to only the periods when hail protection is actually needed.
Solution Approach 2:
The system changes operational parameters (tilt angle and azimuth) of PV modules based on weather conditions. During normal operation, modules are positioned at optimal angles for maximum sunlight capture. When hail is predicted, the controller changes these parameters to reduce the projected area exposed to hail impact. This parameter adjustment resolves the contradiction by dynamically optimizing the balance between energy generation and damage resistance based on environmental conditions.
3Object-affected harmful factors
If weather forecasting services are used to predict hail events, then hail damage mitigation is improved, but system complexity increases
Solution Approach 1:
The system uses an intermediary approach by integrating with existing weather forecasting services and third-party hail prediction APIs rather than building proprietary prediction capabilities. The controller receives processed weather data from external services and translates it into actionable commands for module positioning. This intermediary use of external resources resolves the contradiction by providing sophisticated hail prediction capabilities without requiring complex proprietary weather modeling infrastructure.
Data Source
AI summary
A method may include obtaining information from a weather forecasting service that relates to indicators of an incoming hail event. The method may include determining a stowing score that quantifies whether the hail event is likely to occur within a period of time based on the information from the weather forecasting service. Responsive to the stowing score exceeding a threshold value, a time at which the incoming hail event is likely to occur may be predicted based on the weather forecasting service information. The threshold value may indicate a threshold likelihood of the hail event occurring or a threshold period of time before occurrence. The method may include determining a wind direction at the predicted time at which the hail event is likely to occur and stowing photovoltaic modules based on the wind direction.