PhD Project: Predictive Reliability Models for Solar PV Using Weather and Module Data Technological University Dublin in Ireland

This PhD project at Technological University Dublin focuses on developing predictive reliability models for solar photovoltaic (PV) systems by integrating high-resolution weather data and module operation parameters. The research aims to address the limitations of traditional reliability analyses, which often rely on static test conditions and fail to capture real-world performance variations. By merging local climate variables such as solar irradiance, air temperature, relative humidity, and wind speed with in-situ measurements of PV module electric and thermal behavior, the project seeks to uncover patterns of degradation and failure under diverse environmental conditions.

Advanced statistical and machine learning techniques will be employed to analyze non-linear interactions, such as the combined effects of heat and humidity on module encapsulants and the impact of rapid irradiance changes on inverter efficiency. The project will develop and validate predictive models capable of estimating performance degradation, failure probabilities, and remaining useful lifetimes for various PV technologies and installation sites. Validation will be conducted using external datasets and, where possible, in collaboration with industry partners.

This opportunity is self-funded, with no scholarship available. Students are responsible for tuition fees and materials, though material costs are not significant. Applicants should possess a first-class or upper second-class honours bachelor's degree in Engineering (Electrical, Electronic, Mechanical, or Renewable Energy Systems) or an equivalent qualification. Candidates with lower undergraduate grades must hold a Master's degree. Excellent English language proficiency is required.

The application deadline is March 30, 2026, and the project is based in Dublin, Ireland. Interested candidates should complete an Expression of Interest form via the provided link and ensure they meet the eligibility criteria before applying. For further details or inquiries, contact [email protected] or visit the university's PhD information page.