System and method for generating canvas representations reflecting solar installation potential of a geographic area
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Solution Overview
Problem
Current methods for evaluating potential solar panel installation sites are labor-intensive and time-consuming, lacking an effective tool for pre-evaluating geographic areas efficiently, leading to unnecessary site visits and increased costs.
Innovation Solution
A method and system that generate canvas representations of solar panel installation potential in a geographic area by identifying locations, extracting images, determining installation layouts, and generating solar analytics, allowing for efficient evaluation and visualization of solar panel suitability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If visual and manual assessments are used to evaluate solar panel installation sites, then site evaluation can be performed, but the process becomes labor intensive and time-consuming
Solution Approach 1:
The system performs preliminary automated evaluation of geographic areas using satellite imagery and solar analytics before physical site visits. This pre-screening process identifies promising locations in advance, allowing evaluators to focus only on high-potential sites during manual assessments, thereby reducing overall evaluation time while maintaining accuracy.
Solution Approach 2:
The system creates digital canvas representations that replicate and visualize solar installation potential across geographic areas. These digital models serve as virtual copies of physical sites, enabling remote assessment of solar potential without requiring immediate physical presence, thus significantly reducing evaluation time while preserving measurement precision.
2Measurement precision
If physical traversal and profiling of each potential surface is performed, then detailed solar power potential can be assessed, but the process becomes expensive and time-consuming
Solution Approach 1:
The system replaces mechanical field assessment methods with automated computational analysis of satellite imagery and solar data. Algorithms process geographic and solar information to generate installation layouts and analytics, eliminating the need for physical traversal while maintaining assessment accuracy and dramatically improving evaluation efficiency.
Solution Approach 2:
The system introduces satellite imagery and automated solar analytics as intermediary tools between the evaluator and the physical site. These intermediaries provide detailed solar power potential data without requiring direct physical contact with the site, reducing costs and time while preserving measurement precision.
3Ease of operation
If salespeople visit multiple addresses to assess solar panel suitability, then site evaluation can be performed, but unnecessary visits increase costs and time consumption
Solution Approach 1:
The system performs preliminary automated screening of geographic areas to identify addresses with high solar installation potential before salespeople conduct field visits. This pre-qualification process filters out unsuitable locations, ensuring that salespeople only visit promising addresses, thereby reducing travel time and costs while maintaining assessment capability.
Solution Approach 2:
The system creates digital representations of potential installation sites that allow remote preliminary assessment. Salespeople can review canvas representations and solar analytics before traveling to sites, enabling them to prioritize visits to the most suitable addresses and minimize unnecessary travel time and expenses.
Data Source
AI summary
A system and method for generating canvas representations of solar panel installation potential in a geographic area. The method includes: identifying, based on at least one location parameter, a plurality of addresses, wherein the at least one location parameter represents a geographic area including the plurality of addresses; extracting an image of a geographic area including the plurality of addresses; causing a determination of an installation layout for the plurality of addresses based on the extracted image; causing a generation of at least one solar analytic for each of the plurality of addresses based on the determined installation layout; and generating, based on the installation layout and the at least one solar analytic for each address, a canvas representation for the geographic area.