A hybrid simulation approach for predicting energy flows in production lines. Issue 1 (2nd January 2016)

• Record Type: Journal Article
• Authors: Omar, M.A.; Qilun, Z.; Lujia, F.; Ali, A. Abou; Lahjouji, D.; Khraisheh, M.
• Is Part Of: International journal of sustainable engineering. Volume 9:Issue 1(2016)
• Page Start: 25
• Page End: 34
• Publication Date: 2016-01-02
• Subjects: energy simulation -- discrete event analysis -- regression -- energy forecasting -- production; Sustainable engineering -- Periodicals; Environmental engineering -- Periodicals; 620
• DOI: 10.1080/19397038.2015.1008599
• Languages: English
• ISSNs: 1939-7038

Abstract

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.