EFFICIENT DATA STORAGE SYSTEMS FOR MONITORING AND OPTIMIZING THE PERFORMANCE OF PHOTOVOLTAIC PANELS
Abstract The advancement of photovoltaic (PV) systems has led to the generation of a massive volume of data related to electricity production, which continues to grow at an exponential rate. This data encompasses information on output power, voltage, frequency, and other electrical parameters, as we...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Odessa National Academy of Food Technologies
2025-07-01
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| Series: | Автоматизация технологических и бизнес-процессов |
| Subjects: | |
| Online Access: | https://journals.ontu.edu.ua/index.php/atbp/article/view/3152 |
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| Summary: | Abstract The advancement of photovoltaic (PV) systems has led to the generation of a massive volume of data related to electricity production, which continues to grow at an exponential rate. This data encompasses information on output power, voltage, frequency, and other electrical parameters, as well as environmental conditions, all of which are recorded in real time. Effective management of this data is essential for optimizing energy production and maintaining both the performance and functionality of the system.
However, traditional centralized data storage methods often prove to be insufficiently flexible and secure for the effective management and protection of data, especially as photovoltaic power plants grow in size and generate increasingly larger volumes of information.
Blockchain technology presents a promising alternative for storing data related to the generation and operational status of photovoltaic installations. Through decentralized storage, it enhances the reliability, transparency, and security of the data. Unlike traditional databases, blockchain is immutable and distributed, allowing for secure storage of information across multiple nodes while preserving its integrity and traceability—even in the event of cyber threats or system failures. |
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| ISSN: | 2312-3125 2312-931X |