Innovating Water Treatment with AI, IoT, and Machine Learning: A Focus on Membrane Distillation
A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Wastewater Treatment and Reuse".
Deadline for manuscript submissions: 15 October 2024 | Viewed by 1370
Special Issue Editors
Interests: membrane technologies; advanced biological wastewater treatment; coagulation; hydrology and hy-draulics; environmental engineering; solid waste management; circular economy; carbon footprints; re-newable energy
Special Issues, Collections and Topics in MDPI journals
Interests: membrane-based processes; CO2 capture; storage & utilization; materials synthesis; functional materials; renewable energy; resource recovery; irradiation chemistry; heavy metals remediation
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Water is an essential resource for life, and access to clean and safe water is a fundamental human right. Membrane distillation is a promising technology for producing high-quality water from various sources, including seawater, brackish water, and wastewater. However, the efficiency, reliability, and cost effectiveness of membrane distillation systems need to be improved to meet the increasing demand for freshwater worldwide.
In recent years, the emergence of new technologies such as artificial intelligence (AI), Internet of Things (IoT), and machine learning has created opportunities to optimize membrane distillation processes and overcome some of the challenges associated with traditional water treatment methods. These technologies can provide accurate and real-time monitoring and control of water quality, temperature, pressure, and other parameters, leading to improved performance and reduced energy consumption.
The theme of this Special Issue is to explore the potential of AI, IoT, and machine learning in membrane distillation and other membrane-based water treatment processes. It aims to bring together researchers, academics, and industry professionals from various disciplines, including engineering, chemistry, materials science, and computer science, to share their knowledge, ideas, and experiences in this area. The Special Issue will cover various topics related to AI, IoT, and machine learning in water treatment, such as:
- Novel materials and membranes for improved water separation and fouling resistance;
- Advanced sensors and monitoring systems for real-time water quality assessment and control;
- AI and machine learning algorithms for intelligent process optimization, fault detection, and predictive maintenance;
- IoT-enabled smart water systems for the remote monitoring and management of water treatment plants;
- Cost analysis and life cycle assessment of AI-, IoT-, and machine learning-based water treatment systems.
The theme of this Special Issue emphasizes the need for innovation and collaboration to advance the field of membrane-based water treatment and meet the growing demand for freshwater sustainably and cost effectively.
Dr. Bandita Mainali
Prof. Dr. Muhammad Kashif Shahid
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Water is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- membrane distillation
- water treatment
- AI (artificial intelligence)
- IoT (internet of things)
- machine learning
- smart water systems
- membrane materials
- fouling resistance
- sensors
- process optimization
- predictive maintenance
- sustainable water treatment
- life cycle assessment
