We have conducted academic projects, or with industries, for the development and validation of digital twins for energy and chemical process systems. Digital twins lead to significant savings in investment decision-making or operation strategy modification, by creating a sandboxing environment of the real system through which various scenarios can be tested at almost no cost, before identifying the right decision parameters for real implementation.
We have conducted projects, with industries, for the development and validation of digital twins for various types of power plants including, Rankine cycles, Brayton cycles, and polygeneration systems. These plants are also integrated with carbon capture and utilisation processes to produce either pure CO2 or value added chemicals such as eFuels.
We have developed digital twins for optimal design or operation of various liquefied natural gas (LNG) production and regasification plants including different refrigeration technologies such as PRICO single mixed refrigerant (SMR), ConocoPhillips optimized cascade, Air-product propane precooled mixed refrigerant (C3MR), Shell dual mixed refrigerant (DMR), Statoil-Linde mixed fluid cascade (MFC), and AP-X hybrid processes.
The security of critical infrastructure networks (including electricity and gas) is highly critical due to potential multifaceted social and economic impacts. Unexpected errors or sabotage can lead to blackouts, causing a significant loss for the public, businesses, and governments. Climate change and an increasing number of consequent natural disasters (e.g., bushfires and floods) are other emerging network resilience challenges. We use network science to examine the topological resilience of such networks against random and non-random failures (and possible cascading failures).
The public dashboard enables users to explore over 30 years of Australian National Energy Market (NEM) price and demand data, with half-hourly resolution, and explore various patterns and features in the data on different timescales (years, months, weekly, daily, and hourly).
This dashboard helps the user explore over 20 years of solar PV installation (<100kW) across Australia. The user can choose various, states, postcodes, and years. Furthermore, it enables to investigate the impact of demographic information on solar PV installation over time. Here is direct link to the interactive dashboard:
Coming soon