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

Department of Distributed Systems and Informatic Devices (RAU/RAU8)

AIUT

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

5 Citations (Scopus)

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.

Original language	English
Title of host publication	Proceedings - 2014 IEEE 23rd International Symposium on Industrial Electronics, ISIE 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	189-194
Number of pages	6
ISBN (Print)	9781479923991, 9781479923991
DOIs	https://doi.org/10.1109/ISIE.2014.6864609
Publication status	Published - 2014
Event	2014 IEEE 23rd International Symposium on Industrial Electronics, ISIE 2014 - Istanbul, Turkey Duration: 1 Jun 2014 → 4 Jun 2014

Publication series

Name	IEEE International Symposium on Industrial Electronics
ISSN (Print)	2163-5137
ISSN (Electronic)	2163-5145

Conference

Conference	2014 IEEE 23rd International Symposium on Industrial Electronics, ISIE 2014
Country/Territory	Turkey
City	Istanbul
Period	1/06/14 → 4/06/14

UN SDGs

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

SDG 7 Affordable and Clean Energy
SDG 9 Industry, Innovation, and Infrastructure
SDG 13 Climate Action

Keywords

Compressed air systems
Continuous improvement process
Energy efficiency
Energy maintenece of production systems
Energy management
Green design
Green products

ASJC Scopus subject areas

Electrical and Electronic Engineering
Control and Systems Engineering

Access to Document

10.1109/ISIE.2014.6864609

Cite this

Cupek, R., Drewniak, M., & Zonenberg, D. (2014). Online energy efficiency assessment in serial production - Statistical and data mining approaches. In Proceedings - 2014 IEEE 23rd International Symposium on Industrial Electronics, ISIE 2014 (pp. 189-194). Article 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. pp. 189-194 (IEEE International Symposium on Industrial Electronics).

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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.",

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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",

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Cupek, R, Drewniak, M & Zonenberg, D 2014, Online energy efficiency assessment in serial production - Statistical and data mining approaches. in 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., pp. 189-194, 2014 IEEE 23rd International Symposium on Industrial Electronics, ISIE 2014, Istanbul, Turkey, 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. p. 189-194 6864609 (IEEE International Symposium on Industrial Electronics).

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

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. In Proceedings - 2014 IEEE 23rd International Symposium on Industrial Electronics, ISIE 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 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

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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