Solar Panel Deployment Configuration via Roof Image Classification
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The integration of solar panels into power grids faces challenges due to fluctuating electricity generation, requiring better management and understanding of power generation from deployed solar panels to ensure grid stability as solar-generated electricity becomes more prevalent.
Innovation Solution
A system that classifies roof properties from images and determines optimal solar panel configurations based on factors like orientation, number, tilt angle, shading, and weather patterns to achieve desired electrical outputs, enabling accurate prediction of power generation and profitability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If solar panels are deployed to generate electricity, then electricity production increases, but power system stability deteriorates due to fluctuating generation
Solution Approach 1:
The system performs preliminary classification of roof image segments and identification of roof properties before solar panel deployment. By pre-analyzing roof characteristics (orientation, tilt angle, shading, area) and determining optimal solar panel configurations in advance, the system enables better prediction of power generation patterns, which helps power system operators prepare for fluctuations and maintain grid stability.
2Productivity
If more solar panels are deployed, then electricity generation increases, but understanding and management of power generation becomes more difficult
Solution Approach 1:
The system segments the roof into multiple image segments and classifies each segment to identify specific roof properties. This segmentation approach allows the system to handle complex roof structures by breaking them down into manageable parts, determining optimal solar panel configurations for each segment based on local characteristics (orientation, tilt, shading), thereby simplifying the overall management and prediction of power generation from large-scale solar deployments.
Data Source
AI summary
A system for deploying solar panels may include a classification module configured to receive an image of a structure with a roof and to classify portions of the image that include portions of the roof as roof image segments. The system may also include an identification module configured to identify a property of the roof based at least in part on the roof image segments and a configuration module configured to determine a configuration of one or more solar panels for placement on the roof based on the identified property of the roof.