Έξυπνη επιτήρηση αιολικών πάρκων – Υλοποίηση web εφαρμογής για την οπτικοποίηση και ανάλυση δεδομένων λειτουργίας αιολικών πάρκων, σε MVC αρχιτεκτονική
Smart wind farm monitoring - A web application for data visualization, analytics and reporting, in MVC architecture

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Keywords
Αιολικά πάρκα ; SCADA ; WInd energy ; Monitoring platformAbstract
Renewable Energy Sources (RES) have been one of the most significant sectors of development in Greece in recent years. The production of energy from renewable sources in Greece has increased significantly, making our country one of the fastest-growing renewable energy markets in Europe. This increase is due to various factors, such as investments in technology and supportive policies for the development of renewable energy sources.
Currently, the country is on track to achieve the target of renewable energy accounting for 35% of the total energy mix by 2030. Among various technologies, wind energy systems in Greece have experienced substantial growth and expansion in the past five years. According to statistics from the Hellenic Wind Energy Association (HWEA), installed wind power capacity has soared from 2.8 GW in 2018 to 4.7 GW in 2022, while the technologies and performance of wind systems have also improved. The development of wind energy in Greece is a significant step towards environmental sustainability and reducing the country's dependence on conventional forms of energy.
For the efficient operation of wind farms and all energy production stations, including RES, the use of remote monitoring, management, and data analysis systems is essential. These systems help increase reliability and improve the performance of stations by providing real-time or historical information about the status of assets (wind turbines, solar panels, etc.), energy production, environmental conditions, and other factors that affect the operation of individual systems.
This thesis focuses on the development of a web application aimed at analyzing data from wind farms in order to provide the user with an overall picture of the examined Power plant and assist them in making informed decisions by simplifying the multidimensional data generated by the SCADA systems through time series and logs.
The application utilizes technologies such as PHP through the CodeIgniter 4.0 framework and mySQL for backend development, as well as HTML, CSS, and JavaScript for frontend design and development, following the Model-View-Controller (MVC) architecture. Users have access to graphs and charts presenting useful indicators and metrics in the wind energy sector, as well as data analysis tools. Additionally, the application provides capabilities for data processing, filtering, and export, along with tools for generating analytical reports.
The application offers a comprehensive solution for data analysis from RES, with a specific focus on wind energy.