OPTIMIZING OPEN HARDWARE FOR SOLAR PHOTOVOLTAIC RACKING: A GEOGRAPHICAL CASE STUDY APPROACH
Abstract
This study investigates the geographical dependence of open hardware optimization in the context of solar photovoltaic (PV) racking systems. Open hardware, which is often developed through community-driven initiatives, can significantly impact the scalability and cost-effectiveness of renewable energy systems. The case study focuses on the optimization of PV racking systems, which are critical components for the proper installation and performance of solar panels. By analyzing the variations in environmental, climatic, and regulatory conditions across different geographical regions, the research aims to identify key factors that influence the design and performance of open-source racking hardware. The results demonstrate that optimizing solar racking systems for local conditions such as wind speed, temperature, and material availability can enhance the overall efficiency and sustainability of solar PV installations.
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