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
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
相关论文
共 50 条
  • [31] Future energy consumption and greenhouse gas emissions in Jordanian industries
    Jaber, JO
    APPLIED ENERGY, 2002, 71 (01) : 15 - 30
  • [32] Prediction of energy consumption for manufacturing small and medium-sized enterprises (SMEs) considering industry characteristics
    Oh, Jiyoung
    Min, Daiki
    ENERGY, 2024, 300
  • [33] Energy Consumption Prediction System of Mechanical Processes Based on Empirical Models and Computer-Aided Manufacturing
    He, Keyan
    Tang, Renzhong
    Zhang, Zhongwei
    Sun, Wenjun
    JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING, 2016, 16 (04)
  • [34] Energy consumption reduction technology in manufacturing — A selective review of policies, standards, and research
    Cheol-Woo Park
    Kye-Si Kwon
    Wook-Bae Kim
    Byung-Kwon Min
    Sung-Jun Park
    In-Ha Sung
    Young Sik Yoon
    Kyung-Soo Lee
    Jong-Hang Lee
    Jongwon Seok
    International Journal of Precision Engineering and Manufacturing, 2009, 10 : 151 - 173
  • [35] Energy consumption reduction technology in manufacturing - A selective review of policies, standards, and research
    Park, Cheol-Woo
    Kwon, Kye-Si
    Kim, Wook-Bae
    Min, Byung-Kwon
    Park, Sung-Jun
    Sung, In-Ha
    Yoon, Young Sik
    Lee, Kyung-Soo
    Lee, Jong-Hang
    Seok, Jongwon
    INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING, 2009, 10 (05) : 151 - 173
  • [36] A New Methodology for Calculating The Energy Performance of Manufacturing Facilities
    Guo W.
    Wenning T.
    Nimbalkar S.
    Thirumaran K.
    Armstrong K.
    Levine E.
    Energy Eng, 2019, 2 (7-21): : 7 - 21
  • [37] Energy efficiency and CO2 emissions in Swedish manufacturing industries
    Clara Inés Pardo Martínez
    Semida Silveira
    Energy Efficiency, 2013, 6 : 117 - 133
  • [38] Energy efficiency awareness in lighting - the perspective of Ghana's manufacturing industries
    Arthur, Jones Lewis
    AFRICAN GEOGRAPHICAL REVIEW, 2021, 40 (01) : 33 - 48
  • [39] Embodied Energy Flow Patterns of the Internal and External Industries of Manufacturing in China
    Feng, Zhijun
    Zhou, Wen
    Ming, Qian
    SUSTAINABILITY, 2019, 11 (02)
  • [40] Energy efficiency and CO2 emissions in Swedish manufacturing industries
    Pardo Martinez, Clara Ines
    Silveira, Semida
    ENERGY EFFICIENCY, 2013, 6 (01) : 117 - 133