Solar Panel Model Selection for Facade Layout Coverage
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Solution Overview
Problem
The challenge in creating a layout plan for solar panels on building facades involves selecting suitable models that balance dimensions, efficiency, cost, aesthetics, and placement, particularly in shaded or architecturally unique environments, leading to suboptimal arrangements or the decision against installation.
Innovation Solution
A method for selecting solar element models based on a suitability measure (EM SEi) that considers dimensions, distances, and frequency distributions to optimize panel placement, allowing for automated and efficient selection and arrangement on building envelopes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If planners manually examine all conceivable options for solar panel arrangement, then the optimal arrangement can be found, but the complexity and time required becomes unmanageable
Solution Approach 1:
The system enables automated self-selection of solar element models by calculating suitability measures based on surface characteristics, obstacle positions, and panel dimensions, eliminating the need for manual examination of all arrangement options while achieving optimal results
Solution Approach 2:
The manual planning process is replaced by an automated computational system that calculates suitability measures and generates optimized layout plans, substituting human manual work with algorithmic processing
2Adaptability or versatility
If multiple solar element models with different dimensions are used, then better coverage and adaptability are achieved, but the selection complexity and decision-making difficulty increase
Solution Approach 1:
The system automatically determines the most suitable solar element models by calculating suitability measures for each model against the specific surface characteristics and obstacle configurations, enabling self-service selection without requiring planner expertise in evaluating multiple models
Solution Approach 2:
The system evaluates multiple solar element models with different dimensional parameters and selects the optimal model based on calculated suitability measures that consider surface area, obstacle positions, and spacing requirements, adapting the selection to specific project parameters
3Productivity
If solar panels are arranged to maximize solar yield, then energy generation is optimized, but aesthetic requirements and architectural integration may be compromised
Solution Approach 1:
The system generates multiple layout plan variants with different aesthetic characteristics (e.g., uniform patterns, striped patterns, brick patterns) while maintaining optimized solar element placement, allowing selection based on local aesthetic requirements without sacrificing overall solar yield
Solution Approach 2:
The system provides dynamic selection of layout plan variants that can adapt to different aesthetic preferences and architectural requirements, generating multiple optimized solutions rather than a single fixed arrangement
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 method ensures optimal coverage with minimal gaps, balancing economic, ecological, and aesthetic considerations, facilitating automated and efficient planning of solar panel layouts.
Implementation Method 1
The use of photovoltaic solar cells to convert electromagnetic radiation into electrical energy
Data Source
Figure 1a~1b
Figure 2a~2b
Figure 3
AI summary
When planning the installation of solar panels on a building facade, a decision must be made as to which solar panel models are suitable for the plan. The inventive method for selecting at least one solar panel model for an installation plan with multiple solar panels on a surface area is based on the properties of the surface area and the available solar panel models. This selection can take into account not only the dimensions of the solar panel models but also other relevant properties. The selection result enables optimized and simplified installation planning.