Solar Power Design Automation Using Insolation and Load Data
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Solution Overview
Problem
The existing methods for designing solar power equipment lack automation, requiring manual specification and not accounting for specific load requirements and location-specific insolation parameters, leading to inefficient and customized solutions.
Innovation Solution
A computerized system that utilizes an insolation database and a load database, integrated with a processing system to determine the appropriate solar power design based on geographic location and load requirements, generating proposals for Premium, Standard, and Economy solutions to ensure reliable operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual specification methods are used for designing solar power equipment, then flexibility in customization is maintained, but productivity and efficiency deteriorate due to time-consuming processes
Solution Approach 1:
The system performs self-service by automatically generating solar power equipment designs through processing insolation data and load requirements without manual intervention. The processing system autonomously selects geographic data points, retrieves insolation values, calculates equipment specifications, and generates design proposals, eliminating the need for manual design processes while maintaining high customization levels.
Solution Approach 2:
The patent replaces manual mechanical design processes with an automated computer-based system. The processing system substitutes human analysts by automatically querying databases, performing calculations, and generating design specifications. This substitution of manual operations with automated computational processes dramatically improves productivity while managing system complexity through software integration.
2Reliability
If generic solar power designs are used without location-specific optimization, then device complexity is reduced, but reliability deteriorates due to mismatched insolation values and load requirements
Solution Approach 1:
The system applies local quality by tailoring solar power equipment designs to specific geographic locations. It queries insolation databases using location-specific geographic data points, retrieves location-dependent insolation values, and generates customized equipment specifications that match local solar resource conditions and load requirements. This ensures each design is optimized for its specific installation site rather than using generic configurations.
Solution Approach 2:
The system performs preliminary action by pre-compiling and organizing insolation data and load requirement data in databases before the actual design process. The insolation database stores pre-calculated solar radiation values for various geographic locations, and the load database contains pre-defined equipment specifications. This preliminary data preparation enables rapid, accurate design generation when location and load requirements are provided, improving reliability without adding operational complexity.
3Manufacturing precision
If comprehensive insolation data and load requirements analysis are performed, then manufacturing precision of the design is improved, but loss of time increases during the design process
Solution Approach 1:
The system performs preliminary action by pre-compiling insolation data for multiple geographic data points and pre-defining load requirement specifications in databases before the actual design process. When a design is needed, the system quickly queries these pre-prepared databases rather than calculating everything from scratch. This preliminary data organization enables rapid retrieval and processing, achieving high manufacturing precision in design specifications without significant time loss.
Solution Approach 2:
The system uses copying by retrieving and reusing pre-stored insolation values and load requirement data from databases. Instead of recalculating solar radiation data or重新defining equipment specifications, the system copies relevant data from the insolation database and load database based on the specific location and requirements. This copying approach maintains design accuracy while dramatically reducing the time needed to generate new designs.
Data Source
AI summary
Power equipment designed for use at a particular location comprises an insolation database, a load database, a processing system, and solar power equipment. The insolation database comprises insolation values associated with a plurality of geographic data points. The load database associates appropriate power equipment with load requirements. The processing system determines a solar power design from load requirements generated from the insolation database based on the insolation values associated with a geographic data point closest to the particular location and the load requirements selected from the load database. The solar power equipment is installed according to the solar power design.