Approach for a Systematic Energy Data Generation and Evaluation

Corinna Liebl; Richard S.H. Popp; Michael F. Zaeh

doi:10.1016/j.procir.2017.12.177

Approach for a Systematic Energy Data Generation and Evaluation

Corinna Liebl
, Richard S.H. Popp
, Michael F. Zaeh

Chair of Machine Tools and Manufacturing Technology

Technical University of Munich

Research output: Contribution to journal › Conference article › peer-review

5 Scopus citations

Abstract

Due to significantly rising energy prices, companies are urged to improve the energy efficiency of their production. The basis for implementing the intended savings are energy data analyses, which are only possible with a detailed and source-specific acquisition and analysis of energy data. However, the need for a detailed and specific analysis is competing with the requirement to keep the examination's time and effort, as well as the costs involved, as low as possible. To resolve this conflict, this paper proposes a method for analyzing energy data of machine tools, which allows for an economical and user-friendly execution of the sought-after analysis.

Original language	English
Pages (from-to)	63-68
Number of pages	6
Journal	Procedia CIRP
Volume	67
DOIs	https://doi.org/10.1016/j.procir.2017.12.177
State	Published - 2018
Event	11th CIRP International Conference on Intelligent Computation in Manufacturing Engineering, CIRP ICME 2017 - Ischia, Naples, Italy Duration: 19 Jul 2017 → 21 Jul 2017

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Data analysis
Energy efficiency
Machine tool

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10.1016/j.procir.2017.12.177

Cite this

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title = "Approach for a Systematic Energy Data Generation and Evaluation",

abstract = "Due to significantly rising energy prices, companies are urged to improve the energy efficiency of their production. The basis for implementing the intended savings are energy data analyses, which are only possible with a detailed and source-specific acquisition and analysis of energy data. However, the need for a detailed and specific analysis is competing with the requirement to keep the examination's time and effort, as well as the costs involved, as low as possible. To resolve this conflict, this paper proposes a method for analyzing energy data of machine tools, which allows for an economical and user-friendly execution of the sought-after analysis.",

keywords = "Data analysis, Energy efficiency, Machine tool",

author = "Corinna Liebl and Popp, \{Richard S.H.\} and Zaeh, \{Michael F.\}",

note = "Publisher Copyright: {\textcopyright} 2017 The Authors.; 11th CIRP International Conference on Intelligent Computation in Manufacturing Engineering, CIRP ICME 2017 ; Conference date: 19-07-2017 Through 21-07-2017",

year = "2018",

doi = "10.1016/j.procir.2017.12.177",

language = "English",

volume = "67",

pages = "63--68",

journal = "Procedia CIRP",

issn = "2212-8271",

publisher = "Elsevier B.V.",

}

TY - JOUR

T1 - Approach for a Systematic Energy Data Generation and Evaluation

AU - Liebl, Corinna

AU - Popp, Richard S.H.

AU - Zaeh, Michael F.

PY - 2018

Y1 - 2018

N2 - Due to significantly rising energy prices, companies are urged to improve the energy efficiency of their production. The basis for implementing the intended savings are energy data analyses, which are only possible with a detailed and source-specific acquisition and analysis of energy data. However, the need for a detailed and specific analysis is competing with the requirement to keep the examination's time and effort, as well as the costs involved, as low as possible. To resolve this conflict, this paper proposes a method for analyzing energy data of machine tools, which allows for an economical and user-friendly execution of the sought-after analysis.

AB - Due to significantly rising energy prices, companies are urged to improve the energy efficiency of their production. The basis for implementing the intended savings are energy data analyses, which are only possible with a detailed and source-specific acquisition and analysis of energy data. However, the need for a detailed and specific analysis is competing with the requirement to keep the examination's time and effort, as well as the costs involved, as low as possible. To resolve this conflict, this paper proposes a method for analyzing energy data of machine tools, which allows for an economical and user-friendly execution of the sought-after analysis.

KW - Data analysis

KW - Energy efficiency

KW - Machine tool

UR - https://www.scopus.com/pages/publications/85044626845

U2 - 10.1016/j.procir.2017.12.177

DO - 10.1016/j.procir.2017.12.177

M3 - Conference article

AN - SCOPUS:85044626845

SN - 2212-8271

VL - 67

SP - 63

EP - 68

JO - Procedia CIRP

JF - Procedia CIRP

T2 - 11th CIRP International Conference on Intelligent Computation in Manufacturing Engineering, CIRP ICME 2017

Y2 - 19 July 2017 through 21 July 2017

ER -

Approach for a Systematic Energy Data Generation and Evaluation

Abstract

UN SDGs

Keywords

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