Metso Campaigns Smelting Newsletter Geminex: A digital twin for the future of sustainable DRI smelting
Dec 9, 2024

Geminex: A digital twin for the future of sustainable DRI smelting

Digital twins are virtual replicas of physical assets, systems or processes that utilize real-time data to mirror and simulate their counterparts in the physical world. These digital twins play a crucial role in modern industry by allowing for scenario simulation and informed decision making.
geminex digital twin

The Metso Geminex platform was developed in-house by Metso and is used for digitally replicating mining and refining processes. It is a digital twin that combines operational data with Metso process expertise, providing insight-driven performance in the metallurgical industry. An accurate functional digital model of the whole metallurgical process is based on combining real data from both internal and external data sources, resulting in better recoveries, transparency and overall optimization of the process. 

 

How Geminex creates value for DRI Smelting 

Metso’s innovative DRI smelting furnace has been designed to replace traditional blast furnaces whilst significantly reducing carbon dioxide emissions, a crucial step for the steel industry that accounts for about 8% of global CO2 emissions [1]. This process also enhances energy efficiency and reduces operational costs, making it a vital technology for the future of sustainable steel production [2].  

As a novel process, significant benefits can be achieved by utilizing all available data from theory and practice, such as pilot tests, to form the basis for the DRI Smelting digital twin. This way, the planet positive investment can be de-risked. The tools are also created to improve operational efficiency, sustainability and economic value at a much larger industrial scale.  

At the same time, as with any new technology, operators need training and support. This is where the Geminex digital twin provides a safe and effective platform to simulate your process entirely offline, and gives the operators an understanding of the dynamics involved in the operation of the plant. 

 

Enhancing operational efficiency and sustainability 

Metso’s Geminex for DRI Smelting enhances operational efficiency by providing accurate process simulations and predictions. By integrating real-time data and the detailed digital model of the entire metallurgical process, the model allows operators to simulate and compare different scenarios. As a result, they can make informed decisions to optimize the production process, reduce variability and improve recovery rates. The ability to test and refine processes virtually means that improvements can be explored without disrupting actual operations, leading to smoother and more efficient production cycles. 

Geminex significantly contributes to sustainability by minimizing the carbon footprint through optimizing the use of resources such as energy and reductants. The digital twin technology enables precise recipe matching to variable DRI feed types, which ensures that resources are used efficiently. These support the industry’s move towards more sustainable and environmentally friendly operations. This not only aligns with science-based global sustainability targets, but also enhances the overall environmental performance of metallurgical plants. Further, we should not forget the economic advantage Geminex delivers by improving resource management and operational efficiency, which results in reduced costs and increased profitability.   

 

geminex digital twin
What is Geminex?
Geminex is a cloud-based system that uses our in-house HSC models for DRI Smelting as a simulation engine, enabling an efficient way of embedding our process and OEM expertise into the hands of the plant operators. Geminex integrates with plant data to ensure the simulation always starts from the current status and operational point of the plant. The simulation then uses that data as the starting point of running defined scenarios. The results of these scenarios can then be compared against each other, allowing operators to identify the most optimal parameters for enhancing production efficiency, reducing emissions and managing resource consumption. This comparison empowers operators to make data-driven adjustments that improve overall plant performance and sustainability - in real time.

The future of smarter data-driven DRI smelting 

With the addition of data from our pilot plant to the underlying models, the simulation capabilities of the Geminex digital twin will continue to expand. By coupling plant specific external data, such as energy price and mix, value of product or cost and footprint of over-the-fence utilities amongst others, will take plant operation digitally to the next level and provide a transparent and holistic view into decision making. This will also enable the use of advanced algorithms and AI to determine the best operating parameters to optimize automatically rather than through manually run scenarios. 

Key takeaways: 

  • Combines real-time data and our in-house HSC models for scenario simulation and comparison 
  • Supports operator training and understanding of process dynamics through simulation 
  • Creates value from inception to operation through de-risking the investment, supporting commissioning and promoting process and resource efficiency 
  • Provides a future pathway to use of AI in optimizing plant performance 

 

[1] Metso Outotec launches DRI smelting furnace to decarbonize iron and steel industry - Canadian Mining Journal 
[2] Metso invests $9M in DRI pilot plant 


This article is part of our Smelting Newsletter 2024. Visit the issue front page for all articles and greetings from Jyrki Makkonen - VP, Smelting.