Big data in power generation

Marek Moleda; Dariusz Mrozek

doi:10.1007/978-3-030-19093-4_2

Big data in power generation

Marek Moleda
, Dariusz Mrozek

Department of Applied Informatics (RAU/RAU7)

Silesian University of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

7 Citations (Scopus)

Abstract

The coal-fired power plant regularly produces enormous amounts of data from its sensors, control and monitoring systems. The Volume of this data will be increasing due to widely available smart meters, Wi-Fi devices and rapidly developing IT systems. Big data technology gives the opportunity to use such types and volumes of data and could be an adequate solution in the areas, which have been untouched by information technology yet. This paper describes the possibility to use big data technology to improve internal processes on the example of a coal-fired power plant. Review of applying new technologies is made from an internal point of view, drawing from the professional experience of the authors. We are taking a closer look into the power generation process and trying to find areas to develop insights, hopefully enabling us to create more value for the industry.

Original language	English
Title of host publication	Beyond Databases, Architectures and Structures. Paving the Road to Smart Data Processing and Analysis - 15th International Conference, BDAS 2019, Proceedings
Editors	Stanisław Kozielski, Dariusz Mrozek, Paweł Kasprowski, Bożena Małysiak-Mrozek, Daniel Kostrzewa
Publisher	Springer Verlag
Pages	15-29
Number of pages	15
ISBN (Print)	9783030190927
DOIs	https://doi.org/10.1007/978-3-030-19093-4_2
Publication status	Published - 2019
Event	15th International Conference Beyond Databases, Architectures and Structures, BDAS 2019 - Ustroń, Poland Duration: 28 May 2019 → 31 May 2019

Publication series

Name	Communications in Computer and Information Science
Volume	1018
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Conference

Conference	15th International Conference Beyond Databases, Architectures and Structures, BDAS 2019
Country/Territory	Poland
City	Ustroń
Period	28/05/19 → 31/05/19

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

Big data
Coal power plant
Power industry
Predictive analytics

ASJC Scopus subject areas

General Computer Science
General Mathematics

Access to Document

10.1007/978-3-030-19093-4_2

Cite this

Moleda, M., & Mrozek, D. (2019). Big data in power generation. In S. Kozielski, D. Mrozek, P. Kasprowski, B. Małysiak-Mrozek, & D. Kostrzewa (Eds.), Beyond Databases, Architectures and Structures. Paving the Road to Smart Data Processing and Analysis - 15th International Conference, BDAS 2019, Proceedings (pp. 15-29). (Communications in Computer and Information Science; Vol. 1018). Springer Verlag. https://doi.org/10.1007/978-3-030-19093-4_2

Moleda, Marek ; Mrozek, Dariusz. / Big data in power generation. Beyond Databases, Architectures and Structures. Paving the Road to Smart Data Processing and Analysis - 15th International Conference, BDAS 2019, Proceedings. editor / Stanisław Kozielski ; Dariusz Mrozek ; Paweł Kasprowski ; Bożena Małysiak-Mrozek ; Daniel Kostrzewa. Springer Verlag, 2019. pp. 15-29 (Communications in Computer and Information Science).

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abstract = "The coal-fired power plant regularly produces enormous amounts of data from its sensors, control and monitoring systems. The Volume of this data will be increasing due to widely available smart meters, Wi-Fi devices and rapidly developing IT systems. Big data technology gives the opportunity to use such types and volumes of data and could be an adequate solution in the areas, which have been untouched by information technology yet. This paper describes the possibility to use big data technology to improve internal processes on the example of a coal-fired power plant. Review of applying new technologies is made from an internal point of view, drawing from the professional experience of the authors. We are taking a closer look into the power generation process and trying to find areas to develop insights, hopefully enabling us to create more value for the industry.",

keywords = "Big data, Coal power plant, Power industry, Predictive analytics",

author = "Marek Moleda and Dariusz Mrozek",

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Moleda, M & Mrozek, D 2019, Big data in power generation. in S Kozielski, D Mrozek, P Kasprowski, B Małysiak-Mrozek & D Kostrzewa (eds), Beyond Databases, Architectures and Structures. Paving the Road to Smart Data Processing and Analysis - 15th International Conference, BDAS 2019, Proceedings. Communications in Computer and Information Science, vol. 1018, Springer Verlag, pp. 15-29, 15th International Conference Beyond Databases, Architectures and Structures, BDAS 2019, Ustroń, Poland, 28/05/19. https://doi.org/10.1007/978-3-030-19093-4_2

Big data in power generation. / Moleda, Marek; Mrozek, Dariusz.
Beyond Databases, Architectures and Structures. Paving the Road to Smart Data Processing and Analysis - 15th International Conference, BDAS 2019, Proceedings. ed. / Stanisław Kozielski; Dariusz Mrozek; Paweł Kasprowski; Bożena Małysiak-Mrozek; Daniel Kostrzewa. Springer Verlag, 2019. p. 15-29 (Communications in Computer and Information Science; Vol. 1018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Moleda, Marek

AU - Mrozek, Dariusz

N1 - Publisher Copyright: © Springer Nature Switzerland AG 2019.

PY - 2019

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N2 - The coal-fired power plant regularly produces enormous amounts of data from its sensors, control and monitoring systems. The Volume of this data will be increasing due to widely available smart meters, Wi-Fi devices and rapidly developing IT systems. Big data technology gives the opportunity to use such types and volumes of data and could be an adequate solution in the areas, which have been untouched by information technology yet. This paper describes the possibility to use big data technology to improve internal processes on the example of a coal-fired power plant. Review of applying new technologies is made from an internal point of view, drawing from the professional experience of the authors. We are taking a closer look into the power generation process and trying to find areas to develop insights, hopefully enabling us to create more value for the industry.

AB - The coal-fired power plant regularly produces enormous amounts of data from its sensors, control and monitoring systems. The Volume of this data will be increasing due to widely available smart meters, Wi-Fi devices and rapidly developing IT systems. Big data technology gives the opportunity to use such types and volumes of data and could be an adequate solution in the areas, which have been untouched by information technology yet. This paper describes the possibility to use big data technology to improve internal processes on the example of a coal-fired power plant. Review of applying new technologies is made from an internal point of view, drawing from the professional experience of the authors. We are taking a closer look into the power generation process and trying to find areas to develop insights, hopefully enabling us to create more value for the industry.

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A2 - Mrozek, Dariusz

A2 - Kasprowski, Paweł

A2 - Małysiak-Mrozek, Bożena

A2 - Kostrzewa, Daniel

PB - Springer Verlag

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Y2 - 28 May 2019 through 31 May 2019

ER -

Moleda M, Mrozek D. Big data in power generation. In Kozielski S, Mrozek D, Kasprowski P, Małysiak-Mrozek B, Kostrzewa D, editors, Beyond Databases, Architectures and Structures. Paving the Road to Smart Data Processing and Analysis - 15th International Conference, BDAS 2019, Proceedings. Springer Verlag. 2019. p. 15-29. (Communications in Computer and Information Science). doi: 10.1007/978-3-030-19093-4_2

Big data in power generation

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this