Estimating the effect of module failures on the gross generation of a photovoltaic system using agent-based modeling

Authored by Byungil Kim, Changyoon Kim

Date Published: 2018

DOI: 10.1016/j.rser.2018.04.054

Sponsors: Korean National Research Foundation (NRF)

Platforms: No platforms listed

Model Documentation: ODD Flow charts

Model Code URLs: Model code not found

Abstract

Photovoltaic modules represent the largest single investment in most photovoltaic systems. Ensuring that photovoltaic modules are functioning as intended is key to achieve its designed voltage and current output. Unfortunately, photovoltaic modules fail occasionally and a single failed photovoltaic module, which can go unnoticed for substantial periods of time, causes all power output for the sting it is included in to cease. The effect of these module failures on the total electricity generation of a photovoltaic system during its life cycle has not yet been adequately explored. The objective of this paper is to investigate how much the gross generation of a photovoltaic system is reduced due to module failures over the course of its life cycle. To investigate this effect, an agent-based model is developed to simulate the module failures in a 3,229-kW rooftop photovoltaic system located in Daejeon, South Korea. Through simulation it was found that if routine maintenance cycles are shortened from 52 weeks to two weeks, the system generates an additional 430 MWh over its life cycle. These findings can be integrated into strategic module replacement schemes by enabling photovoltaic system owners to make more precise system valuations. Further, the findings provide a basis for determining optimal routine maintenance schedules for various maintenance costs scenarios.

Tags

Agent-based model Performance Reliability Maintenance Brazil Photovoltaic Rates Technologies Field conditions Module failure Degradation analysis Solar-energy Pv systems Installation