Development of a big data bank for PV monitoring data, analysis and simulation in COST Action ‘PEARL PV’

Reinders, Angèle; Bogatinoska, Dijana Capeska; Braun, Christian; Imenes, Anne Gerd; Driesse, Anton; Slooten, F. van; Moser, David; Sark, W.G.J.H.M. van; Ottersboeck, Bettina; Pearsall, Nicola; Devetaković, Mirjana; Leloux, Jonathan

doi:10.1109/pvsc40753.2019.8980650

Cited by 3 publications

(4 citation statements)

References 2 publications

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“…The authors are thankful to Adrien Desportes and Fabien Grenier from Rtone for their willingness to share the PV performance data from Rbee Solar. This publication is partially based upon work from European Cooperation in Science and Technology (COST) Action CA16235 PEARL PV, 1 COST is a funding agency for research and innovation networks. COST Actions help connect research initiatives across Europe and enable scientists to grow their ideas by sharing them with their peers.…”

Section: Acknowledgmentmentioning

confidence: 99%

“…C OST Action PEARL PV aims at analyzing data of monitored photovoltaic (PV) systems installed mainly across Europe to quantitatively evaluate the long-term performance and reliability of these PV systems. For this purpose, a databank has been implemented in 2019 that can contain vast amounts of monitoring data of installed PV systems, which will enable systematic performance analyses in combination with simulation [1]- [3]. Data will be analyzed regarding the actual monitored long-term performance to quantitatively determine the absolute influences of:…”

Section: Introductionmentioning

confidence: 99%

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Performance Analysis and Degradation of a Large Fleet of PV Systems

Lindig

Ascencio‐Vásquez

Leloux

et al. 2021

IEEE J. Photovoltaics

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This article presents an initial performance analysis of a database of photovoltaic (PV) system performance time series collected within the European funded COST Action PEARL PV. The database contains monitoring data of over 8400 PV systems with accompanying metadata. The PV plants are small residential systems, primarily installed in Europe, with a high density in Belgium. In this initial study, the annual average performance ratio, the annual energy yield, and the performance loss rate of the systems are determined and evaluated. The systems have an average lifetime of 30.5 months. The annual mean performance ratio across all systems is 76.7% and the average yield is 954.9 kWh/kWp per year. The performance loss rate is calculated using three different statistical approaches and one irradiance data source. Average performance losses between −0.74%/year and −0.86%/year are calculated depending on the used approach. Furthermore, certain weather-dependent correlations are detected, such as decreasing performance ratio and increasing yield values with increasing irradiation. This study is a stepping-stone for further populating the present database, lessons learnt for handling large amounts of PV performance data, and carrying out performance studies of PV system fleets installed across Europe.

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Section: Acknowledgmentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Performance Analysis and Degradation of a Large Fleet of PV Systems

Lindig

Ascencio‐Vásquez

Leloux

et al. 2021

IEEE J. Photovoltaics

Self Cite

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“…The partnerships presented are the most significant in the literature on big data and banking fields and are focused on a single paper between the 11 affiliations in the figure. This study discusses the aspect of big data in monitoring "photovoltaic (PV) solar electricity Systems" within Europe (Reinders et al, 2019). This study presents the vitality of big data applications in monitoring certain internal business activities and reducing risks and operational costs that could be adapted in the banking industry.…”

Section: Most Productive Organizationsmentioning

confidence: 99%

Big Data Applications the Banking Sector: A Bibliometric Analysis Approach

et al. 2021

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This study aims to review the existing literature on big data applications in banking using a bibliometric analysis approach. This approach describes citation rates, research outputs, and their implementations, along with current streams in the field and future research agenda. The articles were selected from 2012 to 2020 and sorted by the citation rate in results and analysis. We have discovered 60 papers related to big data in banking, although the applications of big data in the banking sector are growing rapidly, the number of research output in this field is limited. Several themes are extracted from the studies that are reviewed, analyzed, and presented in this report. This review covered the themes that include investment, profit, competition, credit risk analysis, banking crime, and fintech. This report also signifies the importance, use of big data, and its function in the banking and financial sector. This study has also discussed the future research scope in the banking industry’s big data analytics.

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“…Because this Action handles large PV system datasets to be brought in by the partners of the network and their (industrial) collaborators in the field of photovoltaics, a large data repository referred to as the CKAN data server has been set up. This can be used by all partners, bound by non-disclosure agreements to ensure the maximum safety, security, and anonymity of all data (Reinders et al, 2019).…”

Section: List Of Acronyms and Abbreviationsmentioning

confidence: 99%

PEARL PV Country Reports 2020

Farkas

Raghoebarsing²

2022

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This publication arising from COST Action CA16235 "Performance and Reliability of Photovoltaic Systems: Evaluations of Large-Scale Monitoring Data" is supported by COST (European Cooperation in Science and Technology). COST is a funding agency for research and innovation networks. COST Actions help connect research initiatives across Europe and enable scientists to grow their ideas by sharing them with their peers. This boosts their research, career and innovation, see https://www.cost.eu/

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Development of a big data bank for PV monitoring data, analysis and simulation in COST Action ‘PEARL PV’

Cited by 3 publications

References 2 publications

Performance Analysis and Degradation of a Large Fleet of PV Systems

Performance Analysis and Degradation of a Large Fleet of PV Systems

Big Data Applications the Banking Sector: A Bibliometric Analysis Approach

PEARL PV Country Reports 2020

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