Machine learning for membrane design in energy production, gas separation, and water treatment: a review

IF 15 2区环境科学与生态学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Environmental Chemistry Letters Pub Date : 2024-02-06 DOI:10.1007/s10311-023-01695-y

Ahmed I. Osman, Mahmoud Nasr, Mohamed Farghali, Sara S. Bakr, Abdelazeem S. Eltaweil, Ahmed K. Rashwan, Eman M. Abd El-Monaem

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引用次数: 0

Abstract

Membrane filtration is a major process used in the energy, gas separation, and water treatment sectors, yet the efficiency of current membranes is limited. Here, we review the use of machine learning to improve membrane efficiency, with emphasis on reverse osmosis, nanofiltration, pervaporation, removal of pollutants, pathogens and nutrients, gas separation of carbon dioxide, oxygen and hydrogen, fuel cells, biodiesel, and biogas purification. We found that the use of machine learning brings substantial improvements in performance and efficiency, leading to specialized membranes with remarkable potential for various applications. This integration offers versatile solutions crucial for addressing global challenges in sustainable development and advancing environmental goals. Membrane gas separation techniques improve carbon capture and purification of industrial gases, aiding in the reduction of carbon dioxide emissions.

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能源生产、气体分离和水处理中膜设计的机器学习：综述

摘要膜过滤是能源、气体分离和水处理领域的主要工艺，但目前膜的效率有限。在此，我们回顾了利用机器学习提高膜效率的情况，重点是反渗透、纳滤、渗透蒸发、去除污染物、病原体和营养物质、二氧化碳、氧气和氢气的气体分离、燃料电池、生物柴油和沼气净化。我们发现，机器学习的使用大大提高了性能和效率，使专用膜在各种应用中具有显著的潜力。这种整合为应对可持续发展的全球挑战和推进环境目标提供了至关重要的多功能解决方案。膜气体分离技术可改善工业气体的碳捕获和净化，有助于减少二氧化碳排放。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Environmental Chemistry Letters 环境科学-工程：环境

CiteScore

32.00

自引率

7.00%

发文量

175

审稿时长

2 months

期刊介绍： Environmental Chemistry Letters explores the intersections of geology, chemistry, physics, and biology. Published articles are of paramount importance to the examination of both natural and engineered environments. The journal features original and review articles of exceptional significance, encompassing topics such as the characterization of natural and impacted environments, the behavior, prevention, treatment, and control of mineral, organic, and radioactive pollutants. It also delves into interfacial studies involving diverse media like soil, sediment, water, air, organisms, and food. Additionally, the journal covers green chemistry, environmentally friendly synthetic pathways, alternative fuels, ecotoxicology, risk assessment, environmental processes and modeling, environmental technologies, remediation and control, and environmental analytical chemistry using biomolecular tools and tracers.