A hybrid simulation approach for predicting energy flows in production lines

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

    Research output: Contribution to journalArticlepeer-review

    14 Scopus citations

    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 languageBritish English
    Pages (from-to)25-34
    Number of pages10
    JournalInternational Journal of Sustainable Engineering
    Volume9
    Issue number1
    DOIs
    StatePublished - 2 Jan 2016

    Keywords

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

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