Performance modelling and monitoring of thin-film PV systems
Author
Gavriluta, Anamaria-Florina
Term
4. term
Education
Publication year
2016
Submitted on
2016-06-01
Pages
75
Abstract
Danmark nåede 790 MW solcellekapacitet i slutningen af 2015, hvor det meste blev installeret på blot fire år. Den danske solcellebranche (fotovoltaik, PV) sigter mod 1.000 MW i 2020 og 3.400 MW i 2030. Denne afhandling er en del af forskningsprojektet Fully Automated Service Execution platform for Photovoltaic power plants (FASE), finansieret af Innovationsfonden og udviklet i samarbejde med Danica Pension, Econ GmbH, GreenGo Energy A/S og DTU Compute ved Danmarks Tekniske Universitet. Projektets mål er at øge rentabiliteten i solcelleparker ved at kombinere avanceret PV-fejldiagnose—metoder til at opdage, når udstyr ikke fungerer som det skal—med en automatiseret platform til udførelse af service. Afhandlingen fokuserer på en central udfordring i denne vision: at udvikle ydelsesmodeller for tyndfilmsbaserede PV-anlæg, så fejl kan identificeres pålideligt.
Denmark reached 790 MW of solar power capacity by late 2015, with most of it installed in just four years. The Danish photovoltaic (PV) sector aims for 1,000 MW by 2020 and 3,400 MW by 2030. This thesis is part of the research project Fully Automated Service Execution platform for Photovoltaic power plants (FASE), funded by Innovation Fund Denmark and developed with Danica Pension, Econ GmbH, GreenGo Energy A/S, and DTU Compute at the Technical University of Denmark. The project seeks to improve the profitability of solar power plants by combining state-of-the-art PV fault diagnosis—methods that detect when equipment is not working as it should—with an automated platform for carrying out service. The thesis addresses a key challenge within this vision: developing performance models for thin-film PV plants so that faults can be identified reliably.
[This abstract was generated with the help of AI]
Keywords
Documents