A hybrid simulation approach for predicting energy flows in production lines

M. A. Omar, Z. Qilun, F. Lujia, A. Abou Ali, D. Lahjouji, Marwan Khraisheh

Research output: Contribution to journalArticle

10 Citations (Scopus)

Abstract

This manuscript proposes a hybrid simulation model of discrete and continuous modes, designed to predict energy consumption and flows within an automotive production facility. The simulation integrates sub-models for the plant stations and energy management center based on regression analysis of two-year data, forecasting, and physical modelling. The hybrid simulation is developed to account for the energy consumed in manufacturing, air-tempering, and in maintaining equipment with large thermal inertia in an idle-state. The model is applied in twofold; a Daily volume production and a Sequence record and delay modes. The results are found in agreement with plant-recorded data.

Original languageEnglish
Pages (from-to)25-34
Number of pages10
JournalInternational Journal of Sustainable Engineering
Volume9
Issue number1
DOIs
Publication statusPublished - 2 Jan 2016
Externally publishedYes

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Keywords

  • discrete event analysis
  • energy forecasting
  • energy simulation
  • production
  • regression

ASJC Scopus subject areas

  • Engineering(all)

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