Bifacial Solar Gain Model Albedo Measurement
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Solution Overview
Problem
Precise measurement of bifacial solar module performance gains is challenging due to the limited percentage of performance increase, which affects the accuracy of energy production predictions.
Innovation Solution
A system that measures albedo, backside irradiance, shed transparency, and rear shading parameters to compute an expected bifacial gain, using a bifacial gain model that adjusts based on experimental data to minimize loss functions, allowing for accurate prediction of energy production.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If bifacial solar modules are used to capture both direct and reflected sunlight, then power production increases, but measurement precision of performance gain deteriorates due to the limited percentage increase
Solution Approach 1:
The patent segments the bifacial module performance measurement into multiple independent parameters (albedo, backside irradiance, shed transparency, rear shading, electrical parameters) that can be measured and optimized separately. This allows precise tracking of each factor's contribution to the overall performance gain, resolving the measurement precision issue while maintaining the productivity benefit
Solution Approach 2:
The patent implements a feedback mechanism by continuously measuring actual performance parameters and comparing them against modeled expectations. The system uses loss function minimization to adjust parameters based on measured data, creating a closed-loop system that improves measurement precision through iterative refinement while maintaining accurate productivity assessment
2Measurement precision
If a bifacial gain model uses multiple parameters (albedo, backside irradiance, shed transparency, rear shading) to improve prediction accuracy, then energy production prediction precision improves, but device complexity increases
Solution Approach 1:
The patent creates a universal modeling framework that handles multiple parameters (albedo, irradiance, transparency, shading) within a single integrated system. The loss function minimization approach provides a unified method for optimizing all parameters simultaneously, reducing the operational complexity despite the multi-parameter nature of the model
Solution Approach 2:
The patent systematically varies and optimizes multiple physical parameters (albedo, backside irradiance, shed transparency, rear shading) to improve prediction accuracy. By using experimental data to constrain and refine these parameters through loss function minimization, the system achieves high prediction precision while managing complexity through data-driven parameter determination rather than theoretical estimation
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 provides increased accuracy in predicting bifacial solar module energy production, enabling better management of solar power output and potential supplementation or storage adjustments.
Implementation Method 1
The system can measure an albedo of a surface on which the bifacial solar modules are disposed and set an albedo parameter of a bifacial gain model in accordance with the measured albedo. The albedo parameter may represent the reflectivity of the surface
Implementation Method 2
The system can measure a backside irradiance of the array and set a backside irradiance parameter in accordance with the measured backside irradiance. The backside irradiance may represent the amount of solar power the back sides of the bifacial solar modules receive after light reflects off the surface
Implementation Method 3
Bifacial solar modules are double-sided solar modules that capture direct sunlight and sunlight reflected off the ground
Data Source
AI summary
The present disclosure provides systems and methods for improved bifacial solar modeling. A method may comprise measuring an albedo of a surface on which an array of bifacial solar modules is disposed and setting an albedo parameter of a bifacial gain model. The method may further comprise measuring a backside irradiance of the array and setting a backside irradiance parameter. The method may further comprise setting a shed transparency parameter using the measured backside irradiance and a geometric model of the array. The method may further comprise setting a rear shading parameter using a shading model of the array. The method may further comprise computing an expected bifacial gain of the array. The method may further comprise determining an actual bifacial gain of the array. The method may further comprise setting a rear mismatch parameter to minimize a loss function of the expected bifacial gain and the actual bifacial gain.