Description

Problem: Manufacturing industries face the challenge of integrating renewable energy sources efficiently due to the nature of renewable resources such as solar and wind. Current integration practices often fail to maximize renewable energy usage and minimize the carbon footprint effectively.

Goal: This thesis explores the application of Digital Twins to optimize the integration of renewable energy sources into manufacturing processes. The thesis begins with a comprehensive literature review of existing energy-oriented and renewable-energy-integrated models. Furthermore, an illustrative case study will demonstrate the proposed renewable energy integration in a Digital Twin of an small-scale manufacturing system.

Required Skills and Knowledge:

• Understanding of renewable energy technologies and their application in industrial systems.
• Good knowledge of simulation and modeling tools for digital twins.
• Knowledge of energy management and sustainability practices in manufacturing.
• Skills in data analysis to interpret complex simulations and real-time data.