A Methodology for Customized Prediction of Energy Consumption in Manufacturing Industries

被引：45
|
作者：
Schmidt, Christopher [1 ,3 ]
Li, Wen [2 ,4 ]
Thiede, Sebastian [1 ,3 ]
Kara, Sami [2 ,4 ]
Herrmann, Christoph [1 ,3 ]
机构：
[1] Tech Univ Carolo Wilhelmina Braunschweig, Joint German Australian Res Grp, Sustainable Mfg & Life Cycle Engn, D-38106 Braunschweig, Germany
[2] Univ New S Wales, Joint German Australian Res Grp, Sustainable Mfg & Life Cycle Engn, Sydney, NSW 2052, Australia
[3] Tech Univ Carolo Wilhelmina Braunschweig, Inst Machine Tools & Prod Technol IWF, D-38106 Braunschweig, Germany
[4] Univ New S Wales, Sch Mech & Mfg Engn, Sustainable Mfg & Life Cycle Engn Res Grp, Sydney, NSW 2052, Australia
来源：
INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING-GREEN TECHNOLOGY | 2015年 / 2卷 / 02期
基金：
澳大利亚研究理事会;
关键词：
Energy efficiency; Prediction model; Manufacturing; Industrial application; EFFICIENCY;
D O I：
10.1007/s40684-015-0021-z
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
Regulative measures and rising energy cost foster the trend towards energy efficient manufacturing. However, companies are facing hurdles such as high effort and little expertise when implementing energy efficiency measures. Moreover, the embodied energy of products cannot be determined accurately in eco-assessments of factories. This paper presents a methodology for the reliable prediction of energy consumption of arbitrary manufacturing processes. It is based on minimal measurements and requires little effort and previous knowledge due to precise guidelines. Consumption models help to allocate energy cost to products, to calculate the product carbon footprint and to derive and validate measures to improve energy efficiency in production. The methodology has been applied in a medium size company with a large number of different products and machines.
引用
收藏
页码：163 / 172
页数：10
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