Statistical evaluation of PV system performance and failure data among different climate zones

Halwachs, Martin; Neumaier, Lukas; Vollert, N.; Maul, L.; Dimitriadis, Simon; Voronko, Yuliya; Eder, Gabriele; Omazic, Antonia; Mühleisen, W.; Hirschl, Christina; Schwark, M.; Berger, Karl; Ebner, R.

doi:10.1016/j.renene.2019.02.135

Cited by 63 publications

(25 citation statements)

References 28 publications

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“…One standard design and the same material quality and composition are used for all modules. 6,7 Thus, the general characteristics of PV encapsulation materials are very similar: optically transparent, electrically insulating and soft but dimensionally stable, with good adhesion properties and lasting aging resistance, all at possibly low material and production costs.…”

Section: Introductionmentioning

confidence: 99%

Properties and degradation behaviour of polyolefin encapsulants for photovoltaic modules

Oreški

Omazic

Eder

et al. 2020

Progress in Photovoltaics

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Various types of next-generation encapsulation films based on polyolefins have recently been introduced and could attract market attention. These material innovations can be classified as polyolefin elastomer (POE) and thermoplastic polyolefin (TPO) encapsulants, both of which consist of a polyethylene backbone with different side groups. The main advantage of these materials is the replacement of the vinyl acetate side groups of state-of-the-art encapsulant ethylene vinyl acetate (EVA) so that acetic acid cannot be formed. The main objective of this paper is to investigate the material properties of next-generation encapsulant films and compare them to an EVA reference. Two commercially available EVA alternatives (POE and TPO) have been selected. The material properties of single films as well as the electrical performance of test modules using these different encapsulants were investigated. The different films show comparable optical, thermal and thermo-mechanical properties, with slight differences in UV transparency and melting temperatures. Only shear viscosity values are higher for TPO than for POE and EVA, which requires adaption of the photovoltaic (PV) module lamination parameters. The test modules comprising the different encapsulation films show minor differences in the electrical performance after manufacturing; upon accelerated aging, no significant power loss is observed. But compared to TPO or POE, after 3000 h of damp heat exposure, test modules with EVA show the beginning of corrosion effects at the silver grid and above the ribbons. Based on the results, it can be stated that the new polyolefin encapsulation materials show great potential to be a valid replacement for EVA.

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Section: Introductionmentioning

confidence: 99%

Properties and degradation behaviour of polyolefin encapsulants for photovoltaic modules

Oreški

Omazic

Eder

et al. 2020

Progress in Photovoltaics

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“…Failures in a PV plant can be located in the PV modules, inverters, cables and interconnectors, mounting, or other components. Typical failures [ 1 , 3 ] located in PV modules include cracks, potential induced degradation (PID), burned marks and hail damage of the cells, soiling or physical damage as failure of the front glass, delamination as failure of the encapsulant, and others. Because of the many different types of failures, identifying one type of failure in a PV system is a challenging task.…”

Section: Introductionmentioning

confidence: 99%

Statistical Methods for Degradation Estimation and Anomaly Detection in Photovoltaic Plants

Dimitrievska

Pittino

Muehleisen

et al. 2021

Sensors

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Photovoltaic (PV) plants typically suffer from a significant degradation in performance over time due to multiple factors. Operation and maintenance systems aim at increasing the efficiency and profitability of PV plants by analyzing the monitoring data and by applying data-driven methods for assessing the causes of such performance degradation. Two main classes of degradation exist, being it either gradual or a sudden anomaly in the PV system. This has motivated our work to develop and implement statistical methods that can reliably and accurately detect the performance issues in a cost-effective manner. In this paper, we introduce different approaches for both gradual degradation assessment and anomaly detection. Depending on the data available in the PV plant monitoring system, the appropriate method for each degradation class can be selected. The performance of the introduced methods is demonstrated on data from three different PV plants located in Slovenia and Italy monitored for several years. Our work has led us to conclude that the introduced approaches can contribute to the prompt and accurate identification of both gradual degradation and sudden anomalies in PV plants.

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“…Most of the power warranty by PV manufacturers is 25-year for mono facial and 30-year for bi-facial double-glass PV modules. Currently, the lack of knowledge sharing, particularly under warm and humid climates related to degradation issues, becomes more pronounced when the owners are interested in their long-term risk investments, particularly in the reliability and longevity of installed systems (Halwachs et al, 2019;Köntges et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Anomaly Detection of Grid Connected Photovoltaic System Based on Degradation Rate: A Case Study in Malaysia

Hussin¹,

Sin²,

Zainuddin³

et al. 2021

JST

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This paper presents the characterization and performance of six-year field data for two different systems of PV module technologies from the rooftop grid-connected system installed at Universiti Teknologi MARA (UiTM) Shah Alam. Two different PV module technologies are used as case studies to establish a method of anomaly detection on the system performance. The selected parameters such as string voltage, string current and AC power output are used in the analysis, while solar irradiance and module temperature are used as a reference basis. Based on the results obtained, both systems having degradation rates differently. System A had shown stable performance before it degraded by 16.09% after the 4th-year of operation, whereas system B continuously decreased by 39.35% during the monitored period. However, the string current of system A degraded up to 4.4% and, interestingly, no degradation for the string voltage. In contrast, system B has experienced a degradation of the string current by about 21.6%, whereas the string voltage was around 16.16%. Therefore, the string current and string voltage could identify the cause of the degradation rate of AC power. This analysis could be used to diagnose and identify the sources and causes of power degradation of grid-connected PV systems so that further action could be taken.

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Statistical evaluation of PV system performance and failure data among different climate zones

Cited by 63 publications

References 28 publications

Properties and degradation behaviour of polyolefin encapsulants for photovoltaic modules

Properties and degradation behaviour of polyolefin encapsulants for photovoltaic modules

Statistical Methods for Degradation Estimation and Anomaly Detection in Photovoltaic Plants

Anomaly Detection of Grid Connected Photovoltaic System Based on Degradation Rate: A Case Study in Malaysia

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