Artificial Intelligence-Based Optimization of Industrial Membrane Processes

Gaudio, Maria Teresa; Coppola, Gerardo; Zangari, Lorenzo; Curcio, Stefano; Greco, Sergio; Chakraborty, Sudip

doi:10.1007/s41748-021-00220-x

Cited by 46 publications

(9 citation statements)

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“…Some of the mathematical models developed to describe membrane fouling are listed in Table 2. Recently, the use of AI in predicting membrane fouling has garnered a great deal of attention due to its adaptive capability and prediction accuracy (refer to Figure 3) [16,40,41]. [42][43][44]).…”

Section: Membrane Biofouling Predictionmentioning

confidence: 99%

“…They can be further divided into machine learning (ML), deep learning, and data analytics. AI algorithms such as artificial neural networks (ANN), particle swarm optimization (PSO), simulated annealing (SA), fuzzy logic (FL), adaptive neuro-fuzzy inference system (ANFIS), and support vector machine (SVM) have been applied to predict membrane fouling (refer to Table 3) [16,40,41,46,47].…”

Section: Fouling Models Description Governing Equation(s)mentioning

confidence: 99%

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A Review on Membrane Biofouling: Prediction, Characterization, and Mitigation

et al. 2022

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Water scarcity is an increasing problem on every continent, which instigated the search for novel ways to provide clean water suitable for human use; one such way is desalination. Desalination refers to the process of purifying salts and contaminants to produce water suitable for domestic and industrial applications. Due to the high costs and energy consumption associated with some desalination techniques, membrane-based technologies have emerged as a promising alternative water treatment, due to their high energy efficiency, operational simplicity, and lower cost. However, membrane fouling is a major challenge to membrane-based separation as it has detrimental effects on the membrane’s performance and integrity. Based on the type of accumulated foulants, fouling can be classified into particulate, organic, inorganic, and biofouling. Biofouling is considered the most problematic among the four fouling categories. Therefore, proper characterization and prediction of biofouling are essential for creating efficient control and mitigation strategies to minimize the damage associated with biofouling. Moreover, the use of artificial intelligence (AI) in predicting membrane fouling has garnered a great deal of attention due to its adaptive capability and prediction accuracy. This paper presents an overview of the membrane biofouling mechanisms, characterization techniques, and predictive methods with a focus on AI-based techniques, and mitigation strategies.

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Section: Membrane Biofouling Predictionmentioning

confidence: 99%

Section: Fouling Models Description Governing Equation(s)mentioning

confidence: 99%

A Review on Membrane Biofouling: Prediction, Characterization, and Mitigation

et al. 2022

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“…He stated that in the case of fresh water scarcity at sea, seamen boil the seawater in a brazen vessel and close the mouth of the vessel with a sponge to collect what is evaporated. Then they drink fresh water from squeezing the sponge [47][48][49][50][51][52].…”

Section: Classical and Hellenistic Periodsmentioning

confidence: 99%

Desalination: From Ancient to Present and Future

Angelakιs

Valipour

Choo

et al. 2021

Water

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Water is life, and without water, there would be no civilizations and a vacant Earth. Water is considered an abundant natural resource on the earth. Water covers 3/4 of the surface. However, 97% of the available water on the earth is salty oceanic water, and only a tiny fraction (3%) is freshwater. This small portion of the available water supplies the needs of humans and animals. However, freshwater exists in underground, rivers, and lakes and is insufficient to cover all the world’s water demands. Thus, water saving, water reuse, rainwater harvesting, stormwater utilization, and desalination are critical for maintaining water supplies for the future of humanity. Desalination has a long history spanning centuries from ancient times to the present. In the last two decades, desalination has been rapidly expanding to meet water needs in stressed water regions of the world. Yet, there are still some problems with its implementation in several areas of the world. This review provides a comprehensive assessment of the history of desalination for wiser and smarter water extraction and uses to sustain and support the water needs of the earth’s inhabitants.

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“…Artificial intelligence is promising for predicting material properties. [ 9–12 ] Last year, an open‐source Deep Docking protocol was published as a new strategy for searching for a new drug without losing any potential possibility and to save the quantity of the material screening. [ 10 ] Many automatic features are used in molecular biology [ 13,14 ] or bacteriological tests [ 15,16 ] when samples should reproduce under the same conditions.…”

Section: Introductionmentioning

confidence: 99%

Robotization of Synthesis and Analysis Process of Graphene Oxide‐Based Membrane

Meshkov,

Nikitina,

Aliev

et al. 2024

Advanced Intelligent Systems

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The use of collaborative robots (Cobots) for materials development in chemical laboratories is currently of high priority. Herein, the Cobot is used for autonomous continued analysis and synthesis of graphene oxide–polyethyleneimine‐based membrane to unify a method and prospects for big data collection are shown. Membranes have already demonstrated a selective affinity to potassium cations and promised to adjust permeability for other cations by changing pH. The Cobot allows a variation of membrane properties by its composition modification. The present strategy combines a novel perspective of material production by Cobots and the application of machine learning. Moreover, the current approach can be adapted for different modern chemical laboratories for various scientific research, and the proper workflow is provided.

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Artificial Intelligence-Based Optimization of Industrial Membrane Processes

Cited by 46 publications

References 50 publications

A Review on Membrane Biofouling: Prediction, Characterization, and Mitigation

A Review on Membrane Biofouling: Prediction, Characterization, and Mitigation

Desalination: From Ancient to Present and Future

Robotization of Synthesis and Analysis Process of Graphene Oxide‐Based Membrane

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