Digital Twin for Sustainability Improvement for Electrochemical Process

This nugget explores the concept of environmental sustainability KPIs and their relationship with Digital Twins in the context of manufacturing, employing an electrochemical process use case.

Firstly, the concept of Digital Twins is presented, highlighting the relevant data flows between digital and physical environments. Secondly, environmental sustainability Key Performance Indicators (KPIs) are introduced, with their role of measurable indicators of the environmental impact of manufacturing activities and processes, such as energy consumption, waste generation, and emissions. The possibility to link such KPIs to relevant process variables is presented, integrating data from sensors, equipment, and other physical sources through Digital Twins. The logical steps to align sustainability KPIs with real-time monitoring, analysis, and optimization of physical process variables are introduced.An electrochemical process use case is presented to show the potential of Digital Twins to aid in improving sustainability by increasing energy efficiency, optimizing resource allocation (fluid usage), and reducing waste (chemical usage and disposal).