Method for the customized production of at least one photovoltaic panel

The method optimizes BIPV production by using a self-updating prediction module to accurately predict and produce customized photovoltaic panels, addressing uncertainties and inefficiencies in current processes.

WO2026110007A1 Publication Date: 2026-05-28SOLTECH NV
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Patent Information

Application Number
PCT/IB2025/061720
Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
Priority Date
2024-11-19
Filing Date
2025-11-17
Publication Date
2026-05-28

AI Technical Summary

Technical Problem

The high variability in Building Integrated Photovoltaics (BIPV) projects leads to uncertainties in predicting performance and production costs, requiring costly and time-consuming physical prototypes for each project, and inefficient management of complex production processes.

Method used

A method involving a prediction module that uses input data to predict panel characteristics and production parameters, records actual characteristics and parameters during production, and updates itself based on differences to optimize the production process for customized photovoltaic panels.

Benefits of technology

Enables accurate and efficient production of customized photovoltaic panels by continuously improving the prediction module, reducing errors and costs, and ensuring panels meet specific architectural and aesthetic requirements.

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Abstract

A method for the customized production of at least one photovoltaic panel, wherein the method comprises the following steps: entering input data into a prediction module, wherein the input data comprising at least one of panel design characteristics, operational limits, desired panel characteristics, material characteristics, predicting predicted panel characteristics and / or predicted production parameters using the prediction module based on the input data, customized production of the at least one photovoltaic panel based on the input data, recording actual panel characteristics and / or actual production parameters of the at least one photovoltaic panel during or after its production, updating the prediction module based on one or more panel differences between the actual panel characteristics and the predicted panel characteristics, and / or one or more production differences between the actual production parameters and the predicted production parameters.
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