Digital Twin and Industrial Internet of Things Architecture to Reduce Carbon Emissions

Abstract

The rapid growth of digital technology implies the progress of industry, by utilizing Industrial Internet of Things and Digital Twins, in collecting data through sensors and digitally monitoring and testing a product, with a view to improving its features, before the production of the physical product, in real world. At the same time, industrial carbon emissions are a major issue to be confronted. Since, Digital Twin is a connection between the physical and digital world, transferring data bidirectionally and providing insights into the lifecycle of a production process, it also can be utilized for the reduction of industrial carbon emissions. In this paper, we implement a method for the reduction of carbon emissions, by applying the Industrial Internet of Things to collect past data from manufacturing factors and a Digital Twin architecture to monitor present data, compose a model and predict its future behavior, considering renewable energy resources and less carbon emissions. This method contributes in improved decision making regarding the manufacturing process and energy efficient industrial operation.