Data collection from experimental PV system
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České vysoké učení technické v Praze
Czech Technical University in Prague
Czech Technical University in Prague
Date of defense
2025-06-17
Abstract
This work explores the field of data collection and analysis for photovoltaic systems, with a focus on the implementation aspects of the data acquisition system. The work combines research and applies the findings to the practical implementation. Initially, research on the basic principles of photovoltaic systems was conducted to establish a foundational understanding of their operation. Furthermore, to expand knowledge of the work's scope, research was conducted on data acquisition systems and their integration in photovoltaic systems. This allowed for a concrete understanding of the implementation. Prior to the implementation, the photovoltaic system was mapped, and all components and their current conditions were described. The data acquisition system was implemented by integrating Unipi into the photovoltaic system. Energocentrum Plus, s.r.o. completed this integration. As part of the scope of this work, a program was created in Python that collected data from Unipi and stored it in real-time. Using the Dash and Plotly libraries in Python, a dashboard was created that displays live data and historical data based on the stored values.
This work explores the field of data collection and analysis for photovoltaic systems, with a focus on the implementation aspects of the data acquisition system. The work combines research and applies the findings to the practical implementation. Initially, research on the basic principles of photovoltaic systems was conducted to establish a foundational understanding of their operation. Furthermore, to expand knowledge of the work's scope, research was conducted on data acquisition systems and their integration in photovoltaic systems. This allowed for a concrete understanding of the implementation. Prior to the implementation, the photovoltaic system was mapped, and all components and their current conditions were described. The data acquisition system was implemented by integrating Unipi into the photovoltaic system. Energocentrum Plus, s.r.o. completed this integration. As part of the scope of this work, a program was created in Python that collected data from Unipi and stored it in real-time. Using the Dash and Plotly libraries in Python, a dashboard was created that displays live data and historical data based on the stored values.
This work explores the field of data collection and analysis for photovoltaic systems, with a focus on the implementation aspects of the data acquisition system. The work combines research and applies the findings to the practical implementation. Initially, research on the basic principles of photovoltaic systems was conducted to establish a foundational understanding of their operation. Furthermore, to expand knowledge of the work's scope, research was conducted on data acquisition systems and their integration in photovoltaic systems. This allowed for a concrete understanding of the implementation. Prior to the implementation, the photovoltaic system was mapped, and all components and their current conditions were described. The data acquisition system was implemented by integrating Unipi into the photovoltaic system. Energocentrum Plus, s.r.o. completed this integration. As part of the scope of this work, a program was created in Python that collected data from Unipi and stored it in real-time. Using the Dash and Plotly libraries in Python, a dashboard was created that displays live data and historical data based on the stored values.
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Keywords
Solar Energy, Photovoltaic System, Data Acquisition System, Photovoltaic Monitoring, Python Dashboard, Real-time Data Visualization, Supervisory Control and Data Acquisition, Unipi Neuron, Photovoltaic Inverters, Renewable Energy Data Logging, Photovoltaic Data Processing, Solar Energy, Photovoltaic System, Data Acquisition System, Photovoltaic Monitoring, Python Dashboard, Real-time Data Visualization, Supervisory Control and Data Acquisition, Unipi Neuron, Photovoltaic Inverters, Renewable Energy Data Logging, Photovoltaic Data Processing
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Vysokoškolská závěrečná práce je dílo chráněné autorským zákonem. Je možné pořizovat z něj na své náklady a pro svoji osobní potřebu výpisy, opisy a rozmnoženiny. Jeho využití musí být v souladu s autorským zákonem v platném znění.
A university thesis is a work protected by the Copyright Act of the Czech Republic. Extracts, copies and transcripts of the thesis are allowed for personal use only and at one`s own expense. The use of thesis should be in compliance with the Copyright Act.
A university thesis is a work protected by the Copyright Act of the Czech Republic. Extracts, copies and transcripts of the thesis are allowed for personal use only and at one`s own expense. The use of thesis should be in compliance with the Copyright Act.