Artificial intelligence (AI) is gaining acceptance for modern control systems in various applications in daily life including the Chemical process industry. Above all, application of AI is increasing in the field of membrane-based treatment where it shows great potential until now. Membrane separations are generally recognized as energy-efficient processes. In particular, membrane desalination, forward osmosis, energy generation, and biomass treatment have shown substantial potential in modern industries, such as wastewater treatment, pharmaceuticals, petrochemicals, and natural products. All these industries consume more than 20% of total energy consumption in the world. Moreover, the laboratory research outcomes illuminate the way to better membrane design and development, including advanced process control and optimization. The membrane processes with existing technologies for a sustainable environment could be integrated with the AI model. This review summarizes several membrane-based water treatment designs and plant performances where artificial intelligence is being used to minimize waste generation and lead to cleaner production.

Artificial Intelligence-Based Optimization of Industrial Membrane Processes

Gaudio M. T.;Coppola G.;Zangari L.;Curcio S.;Greco S.;Chakraborty S.
2021

Abstract

Artificial intelligence (AI) is gaining acceptance for modern control systems in various applications in daily life including the Chemical process industry. Above all, application of AI is increasing in the field of membrane-based treatment where it shows great potential until now. Membrane separations are generally recognized as energy-efficient processes. In particular, membrane desalination, forward osmosis, energy generation, and biomass treatment have shown substantial potential in modern industries, such as wastewater treatment, pharmaceuticals, petrochemicals, and natural products. All these industries consume more than 20% of total energy consumption in the world. Moreover, the laboratory research outcomes illuminate the way to better membrane design and development, including advanced process control and optimization. The membrane processes with existing technologies for a sustainable environment could be integrated with the AI model. This review summarizes several membrane-based water treatment designs and plant performances where artificial intelligence is being used to minimize waste generation and lead to cleaner production.
ANN
Artificial intelligence
Membrane separation
Waste minimization
Water treatment
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11770/328950
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