Online energy efficiency assessment in serial production - Statistical and data mining approaches

Rafal Cupek; Marek Drewniak; Dariusz Zonenberg

doi:10.1109/ISIE.2014.6864609

Online energy efficiency assessment in serial production - Statistical and data mining approaches

Rafal Cupek
, Marek Drewniak
, Dariusz Zonenberg

Katedra Systemów Rozproszonych i Urządzeń Informatyki (RAU/RAU8)

AIUT

Wyniki badań: Rozdział w książce/raport/materiał konferencyjny › Wkład w konferencję › recenzja

5 Cytowania z bazy Scopus

Abstrakt

Due to increasing energy costs and the demand to lower CO₂ emissions in the production, companies try to apply energy efficient technologies in green (new installations) and brown (modernized installation) production systems. Hence, the procedures of energy efficiency assessment have to be integrated with production systems on the machine control level. Presented work compares the energy efficiency assessment based on statistical analysis with an approach based on data mining and cluster analysis. Experimental results have shown limitations and possible application fields for both methods. Even though the presented methodology was conducted on compressed air consumption monitoring system, it can also be easily applicable for other types of consumed energy.

Język oryginału	angielski
Tytuł publikacji goszczącej	Proceedings - 2014 IEEE 23rd International Symposium on Industrial Electronics, ISIE 2014
Wydawca	Institute of Electrical and Electronics Engineers Inc.
Strony	189-194
Liczba stron	6
ISBN (drukowany)	9781479923991, 9781479923991
Identyfikatory DOI	https://doi.org/10.1109/ISIE.2014.6864609
Status publikacji	Opublikowano - 2014
Wydarzenie	2014 IEEE 23rd International Symposium on Industrial Electronics, ISIE 2014 - Istanbul, Turcja Czas trwania: 1 cze 2014 → 4 cze 2014

Seria publikacji

Nazwa	IEEE International Symposium on Industrial Electronics
ISSN (drukowany)	2163-5137
ISSN (elektroniczny)	2163-5145

Konferencja

Konferencja	2014 IEEE 23rd International Symposium on Industrial Electronics, ISIE 2014
Kraj/Terytorium	Turcja
Miejscowość	Istanbul
Okres	1/06/14 → 4/06/14

Cele SDG ONZ

Ten wynik przyczynia się do realizacji następujących celów zrównoważonego rozwoju

Cel 7 Przystępna i czysta energia
Cel 9 Przemysł, innowacje i infrastruktura
Cel 13 Działanie na rzecz klimatu

Obszary tematyczne ASJC Scopus

Inżynieria elektryczna i elektroniczna
Inżynieria sterowania i systemów

Uzyskaj dostęp do dokumentu

10.1109/ISIE.2014.6864609

Inne pliki i linki

Link do publikacji w Scopus

Cytowanie

Cupek, R., Drewniak, M., & Zonenberg, D. (2014). Online energy efficiency assessment in serial production - Statistical and data mining approaches. W Proceedings - 2014 IEEE 23rd International Symposium on Industrial Electronics, ISIE 2014 (str. 189-194). Artykułu 6864609 (IEEE International Symposium on Industrial Electronics). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISIE.2014.6864609

Cupek, Rafal ; Drewniak, Marek ; Zonenberg, Dariusz. / Online energy efficiency assessment in serial production - Statistical and data mining approaches. Proceedings - 2014 IEEE 23rd International Symposium on Industrial Electronics, ISIE 2014. Institute of Electrical and Electronics Engineers Inc., 2014. str. 189-194 (IEEE International Symposium on Industrial Electronics).

@inproceedings{558f71ce2e024c62ad8b4ebcbb824835,

title = "Online energy efficiency assessment in serial production - Statistical and data mining approaches",

abstract = "Due to increasing energy costs and the demand to lower CO2 emissions in the production, companies try to apply energy efficient technologies in green (new installations) and brown (modernized installation) production systems. Hence, the procedures of energy efficiency assessment have to be integrated with production systems on the machine control level. Presented work compares the energy efficiency assessment based on statistical analysis with an approach based on data mining and cluster analysis. Experimental results have shown limitations and possible application fields for both methods. Even though the presented methodology was conducted on compressed air consumption monitoring system, it can also be easily applicable for other types of consumed energy.",

keywords = "Compressed air systems, Continuous improvement process, Energy efficiency, Energy maintenece of production systems, Energy management, Green design, Green products",

author = "Rafal Cupek and Marek Drewniak and Dariusz Zonenberg",

year = "2014",

doi = "10.1109/ISIE.2014.6864609",

language = "English",

isbn = "9781479923991",

series = "IEEE International Symposium on Industrial Electronics",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "189--194",

booktitle = "Proceedings - 2014 IEEE 23rd International Symposium on Industrial Electronics, ISIE 2014",

address = "United States",

note = "2014 IEEE 23rd International Symposium on Industrial Electronics, ISIE 2014 ; Conference date: 01-06-2014 Through 04-06-2014",

}

Cupek, R, Drewniak, M & Zonenberg, D 2014, Online energy efficiency assessment in serial production - Statistical and data mining approaches. w Proceedings - 2014 IEEE 23rd International Symposium on Industrial Electronics, ISIE 2014., 6864609, IEEE International Symposium on Industrial Electronics, Institute of Electrical and Electronics Engineers Inc., str. 189-194, 2014 IEEE 23rd International Symposium on Industrial Electronics, ISIE 2014, Istanbul, Turcja, 1/06/14. https://doi.org/10.1109/ISIE.2014.6864609

Online energy efficiency assessment in serial production - Statistical and data mining approaches. / Cupek, Rafal; Drewniak, Marek; Zonenberg, Dariusz.
Proceedings - 2014 IEEE 23rd International Symposium on Industrial Electronics, ISIE 2014. Institute of Electrical and Electronics Engineers Inc., 2014. str. 189-194 6864609 (IEEE International Symposium on Industrial Electronics).

Wyniki badań: Rozdział w książce/raport/materiał konferencyjny › Wkład w konferencję › recenzja

TY - GEN

T1 - Online energy efficiency assessment in serial production - Statistical and data mining approaches

AU - Cupek, Rafal

AU - Drewniak, Marek

AU - Zonenberg, Dariusz

PY - 2014

Y1 - 2014

N2 - Due to increasing energy costs and the demand to lower CO2 emissions in the production, companies try to apply energy efficient technologies in green (new installations) and brown (modernized installation) production systems. Hence, the procedures of energy efficiency assessment have to be integrated with production systems on the machine control level. Presented work compares the energy efficiency assessment based on statistical analysis with an approach based on data mining and cluster analysis. Experimental results have shown limitations and possible application fields for both methods. Even though the presented methodology was conducted on compressed air consumption monitoring system, it can also be easily applicable for other types of consumed energy.

AB - Due to increasing energy costs and the demand to lower CO2 emissions in the production, companies try to apply energy efficient technologies in green (new installations) and brown (modernized installation) production systems. Hence, the procedures of energy efficiency assessment have to be integrated with production systems on the machine control level. Presented work compares the energy efficiency assessment based on statistical analysis with an approach based on data mining and cluster analysis. Experimental results have shown limitations and possible application fields for both methods. Even though the presented methodology was conducted on compressed air consumption monitoring system, it can also be easily applicable for other types of consumed energy.

KW - Compressed air systems

KW - Continuous improvement process

KW - Energy efficiency

KW - Energy maintenece of production systems

KW - Energy management

KW - Green design

KW - Green products

UR - https://www.scopus.com/pages/publications/84907364723

U2 - 10.1109/ISIE.2014.6864609

DO - 10.1109/ISIE.2014.6864609

M3 - Conference contribution

AN - SCOPUS:84907364723

SN - 9781479923991

T3 - IEEE International Symposium on Industrial Electronics

SP - 189

EP - 194

BT - Proceedings - 2014 IEEE 23rd International Symposium on Industrial Electronics, ISIE 2014

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2014 IEEE 23rd International Symposium on Industrial Electronics, ISIE 2014

Y2 - 1 June 2014 through 4 June 2014

ER -

Cupek R, Drewniak M, Zonenberg D. Online energy efficiency assessment in serial production - Statistical and data mining approaches. W Proceedings - 2014 IEEE 23rd International Symposium on Industrial Electronics, ISIE 2014. Institute of Electrical and Electronics Engineers Inc. 2014. str. 189-194. 6864609. (IEEE International Symposium on Industrial Electronics). doi: 10.1109/ISIE.2014.6864609

Online energy efficiency assessment in serial production - Statistical and data mining approaches

Abstrakt

Seria publikacji

Konferencja

Cele SDG ONZ

Obszary tematyczne ASJC Scopus

Uzyskaj dostęp do dokumentu

Inne pliki i linki

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Cytowanie