| KEYWORD |
Optimization of Predictive and Corrective Maintenance in Photovoltaic Systems: Development and Implementation of Data-Driven Strategies
keywords EFFICIENCY, MAINTENANCE, PERFORMANCE, PREDICTIVE MAINTENANCE, RENEWABLE ENERGY, RENEWABLE ENERGY PLANT, RENEWABLE ENERGY SOURCES, RENEWABLES; PHOTOVOLTAICS; FLEXIBLE SOLAR PANELS;
Reference persons ALESSANDRO CIOCIA
Research Groups SOLAR
Description Thesis Structure:
Chapter 1:
Analysis of Current European and Italian Regulations on Photovoltaic System Maintenance (LITERATURE REVIEW)
This chapter provides a comprehensive review of the current regulatory framework governing photovoltaic system maintenance, focusing on technical standards, safety guidelines, operational efficiency, and legal requirements for maintenance procedures.
Chapter 2:
Literature Review of Predictive and Corrective Maintenance Methods Applied to Photovoltaic Systems (SCIENTIFIC LITERATURE REVIEW)
The objective of this chapter is to explore existing maintenance strategies, categorizing them into major groups such as:
Predictive maintenance techniques based on physical models and historical data.
Corrective and preventive maintenance through scheduled inspections and interventions.
Techniques based on machine learning and artificial intelligence.
The chapter will describe these methodologies in terms of cost, reliability, and energy efficiency improvements.
Chapter 3:
Development and Implementation of a Maintenance Methodology for the PVZEN System (MATLAB SIMULATION AND EXPERIMENTAL ACTIVITIES)
The student will develop a MATLAB program to monitor PVZEN system operational parameters and detect anomalies through diagnostic algorithms.
Key tasks include:
Developing fault detection models using data such as current, voltage, and temperature.
Interfacing with the existing control and supervision system.
Customizing and adapting maintenance strategies based on field-detected events.
Conducting experimental testing on the real PVZEN system and collecting operational data.
Chapter 4:
Performance Analysis and Comparison of Implemented Maintenance Strategies (SIMULATION AND DATA ANALYSIS)
This chapter evaluates the results achieved, focusing on:
Reduction of system downtime.
Improvement of energy production efficiency.
Reduction of maintenance costs.
Comparison with standard maintenance techniques found in the literature.
Chapter 5:
Conclusions
The final chapter summarizes the obtained results, highlighting the benefits of implementing the proposed maintenance strategies. It also suggests potential future developments and improvements to enhance maintenance methodologies further.
Required skills -matlab
- conoscenza modelli teorici di produzione da impianti fotovoltaici
Deadline 11/12/2025
PROPONI LA TUA CANDIDATURA