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Case Study: Graphene-Based Coating Reduces Costs of Fluid Storage Systems

Posted By Dexter Johnson, IEEE Spectrum, Wednesday, August 2, 2017

Australian-based Imagine Intelligent Materials has released a new case study that looks at the commercial deployment of a new type of conductive geotextile, made possible with the company’s imgne® X3 coating. The new graphene-based material is used as part of a solution developed by fluid storage tank company, called Concept.

Concept builds fluid storage systems that have many applications within the mining industry, including fluid processing facilities, irrigation water storage, dust suppression water storage, construction water, potable water and grey water at camps.

These fluid storage systems consist of large steel or concrete tanks that are lined with four different types of liner systems: primary liner, composite net layer, leak detection layer (secondary layer) and geotextile cushioning layer.  

It is within the composite net layer (Geomembrane/Geonet) that Intelligent Materials’ imgne® X3 coating is used to separate the leak detection system from the primary layers and to assist in the flow of water.

When these liner systems were used prior to the introduction of the imgne® X3 coating in the composite net layer, it was necessary to wet this layer with water to make it conductive, which added cost and complexity to the project.

In addition to the extra costs of shipping in water, the previous arrangement led to false positives in the lead detection system.  The water used to wet the layer between the primary and secondary liners often led to false leak reports in the leak detection system

The case study with the imgne® X3 coating on the composite net layer eliminated the need to wet the material—a boon for locations that are remote and the climate is arid.  This absence of water needed to wet the material to make it conductive also eliminated the false positives.

In the video below, you can learn more about Imagine Materials' imgne® X3 coating operates.

 

Tags:  conductivity  graphene coating  leak detection 

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