Design and development of the digital twin for improving safety and efficiency of the renewable energy plant of the future

R&D Focus Areas:
Computational modelling

Lead Organisation:
Swinburne University of Technology

Funding:
Future Energy Exports CRC (PhD Project)

Status:
Active

Start date:
2022

Completion date:
2025

Project summary description:
This project focuses on the design and development of a digital twin to enhance the safety and production efficiency of hydrogen plants. The project’s primary objective is to maximize plant efficiency and processes by leveraging real-time data collection and advanced analytics to optimize plant operations, reduce maintenance stoppages, and prevent costly unplanned downtime.

In this project, real-time data from a laboratory-scale hydrogen plant at Swinburne University of Technology (SUT) will be collected using IoT sensors. This data will be processed in the cloud using advanced analytics to provide insights into the plant’s efficiency, effectiveness, and reliability. These insights will be used to design and implement a digital twin of the SUT physical plant.

The digital twin will serve as a platform for decision-making, visualization, and monitoring, offering significant benefits in terms of safety, production efficiency, and technology optimization.

Further information:
https://www.fenex.org.au/connect/

 

September 2024