membrane-based solutions Archives - International MiningGradiant concentrating its mining proposition18th August 2022Automation, Base metals, En...membrane-based solutions Archives - International Mining
Gradiant concentrating its mining proposition
18th August 2022Automation, Base metals, Environmental, Mineral processing, Mining services, Mining software, Water managementAI, brines, cobalt, counterflow reverse osmosis, Gradiant, machine learning, membrane-based solutions, MIT, nickel, Prakash Govindan, RO Infinity, SmartOps, water managementDaniel Gleeson
There are plenty of mining applications one can see Boston, Massachusetts-based Gradiant’s end-to-end water technology solutions serving.
A spinout of the Massachusetts Institute of Technology, the company calls itself the “experts” of industrial water, water reuse, minimum liquid discharge (MLD) and zero liquid discharge (ZLD), and resource recovery of metals and minerals.
That is a big remit, hence the reason why it caters to at least nine industries on a global basis in mission-critical water operations, with over 70% of its clients being Fortune 100 companies in the world’s essential industries.
Mining companies have historically been wary of suppliers that serve a variety of industries, believing their needs rarely cross over with the requirements of other industries. Gradiant believes it is different in that its solutions incorporate not only the hardware and software to fine-tune water technologies, but also the artificial intelligence (AI) to ensure the tools being used are effective regardless of the inputs.
This includes the RO Infinity™ (ROI™) platform of membrane-based solutions for complex water and wastewater challenges, which combine Gradiant’s patented counterflow reverse osmosis (CFRO) technology with reverse osmosis and low-pressure membrane processes. ROI solutions enable customers around the world to achieve sustainability goals to reduce their water and carbon footprint, the company says.
This platform is complemented with AI-backed SmartOps™, an integrated digital platform for asset performance management to optimise and predict plant operations using historical and real-time process data, resulting in performance and cost efficiencies.
Prakash Govindan, Co-Founder and COO of the company, says most water solutions on the market are built for consistent liquid/solid feeds and work effectively when the input is in accordance with these specifications. When the feed changes, they often become ineffective, needing to be updated or changed out, which costs money and impacts the various processes on either side of the water treatment section.
“The machine-learning algorithms we use – neural networks and time-series algorithms – ensure we consistently optimise the operation of our solutions,” Govindan told IM. “These tools make sure we always use the right performance metrics and don’t lose efficiency in the face of variability.”