Gomaa, Nesma NYoussef, Khaled YAbouelatta, Mohamed2021-01-302021-01-302021-01https://dx.doi.org/10.25046/aj0506194http://repository.msa.edu.eg/xmlui/handle/123456789/4408Manufacturing industry is facing several challenges in power quality and energy consumptions that play a significant role in the cost of goods sold in addition to the operational efficiency of manufacturing plants. The current techniques are not enough to manage the manufacturing processes from power perspectives as it is focusing only on the monitoring of the power grids using smart meters connected to SCADA systems. In this paper, a novel technique is proposed that is based on energy-aware manufacturing process control model using internet of things technology. The model is applied on cabling industry use case in addition to implementation of a MATLAB model for this purpose whereas the IoT physical layer is collecting, analyzing and communicating the electric power parameters correlated with the manufacturing process parameters received from PLC IoT nodes. Accordingly, the effective power quality is enhanced using manufacturing process control rather than additional correction nodes in traditional techniques. On applying the model on cabling use case, the Total Harmonic Distortion (THD-current) is improved 10 times to be 3.1% against 31.4% and the power factor is improved by 33% from 0.7 to 0.93 without additional correction nodes. © 2020 ASTES Publishers. All rights reserveden-USEnergy Management SystemEnergy Management SystemInternet of Things (IoT)Power systemPower FactorHarmonicsPower qualityOn design of IoT-based power quality oriented grids for industrial sectorArticle