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Concentrated Solar Plants Management: Big Data and Neural Network

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Renewable Energies

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Abstract

Big Data is becoming the most powerful tool for analysing the huge amount of data around us. Cloud Processing is among the benefits offered by the Big Data, which allows analysis of data in real time from different parts of the world. These technological advances in mass data processing can be exploited to treat information from thousands of sensors. A new approach for optimal condition monitoring and control of Concentrating Solar Plants spread over different geographical locations is proposed. The information from the condition monitoring sensors (in this instance ultrasonic guided waves) and the data for the optimal control of the plants need a cloud platform in order to be analysed jointly with forecast data (meteorological, demand of other plants, etc.). The main processing tool used is based on neural networks, responsible for correlating the obtained signals in real time, to determine anomalous results and generate alarms.

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Acknowledgements

The work reported herewith has been financially supported by the Spanish Ministerio de Economía y Competitividad, under Research Grants DPI2015-67264-P and RTC-2016-5694-3.

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Authors and Affiliations

  1. Ingenium Research Group, University of Castilla-La Mancha, Ciudad Real, Spain

    Alfredo Arcos Jiménez, Carlos Q. Gómez & Fausto Pedro García Márquez

Authors
  1. Alfredo Arcos Jiménez
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  2. Carlos Q. Gómez
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  3. Fausto Pedro García Márquez
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Corresponding author

Correspondence to Fausto Pedro García Márquez .

Editor information

Editors and Affiliations

  1. ETSI Industriales de Ciudad Real, University of Castilla-La Mancha, Ciudad Real, Spain

    Fausto Pedro García Márquez

  2. Renewable Energy, Terna Energy, Athens, Attiki, Greece

    Alexander Karyotakis

  3. Metallurgy and Materials, University of Birmingham, Birmingham, United Kingdom

    Mayorkinos Papaelias

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Arcos Jiménez, A., Gómez, C.Q., García Márquez, F.P. (2018). Concentrated Solar Plants Management: Big Data and Neural Network. In: García Márquez, F., Karyotakis, A., Papaelias, M. (eds) Renewable Energies. Springer, Cham. https://doi.org/10.1007/978-3-319-45364-4_5

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