Modeling and experimental validation of nanophotonics-enhanced solar membrane distillation technology for treating reverse osmosis brine DOI Creative Commons

Mayar Elrakhawi,

Ahmed F. Tayel, Amr M. Abdelrazek

et al.

Applied Water Science, Journal Year: 2024, Volume and Issue: 15(1)

Published: Dec. 28, 2024

A novel, cost-efficient Nanophotonic Enhanced Solar Membrane Distillation (NESMD) system, a solar-driven water desalination technology, was studied. The system features photothermal membrane acting as solar collector for distillation, thus eliminating the need an external condenser. To address system's vulnerability to thermal losses, comprehensive mathematical model developed and validated against real-world experimental data. This represents intricately coupled heat mass transfer within sweeping-air NESMD incorporating loss considerations. modeling strategy involved dividing module into sub-cells implementing finite difference method detailed analysis. led series of nonlinear simultaneous equations, which were resolved via computational code using MATLAB software. exhibited commendable conformity data, exhibiting relative percentage error less than 10% average permeate flux identifying losses high 63%. Depending on operating conditions, transferred surroundings takes lead among contributors at higher feed rates (up 25%), whereas conduction across dominates 42%) low rates. study established exponential correlation between production energy, with coefficient ranging from 9.5 30 W m−2 K−1 determination 0.96. An integral part this work includes calculating energy utilization clarifying performance. Furthermore, examines influence diverse operational geometric parameters, providing insights enhancing Hence, increase in layer thickness enhances freshwater by 7%. Due intensification irradiance, increased ninefold, specific consumption decreased 134 kW hr m−3. research underscores potential sustainable desalination, that lays groundwork future advancements distillation technology.

Language: Английский

Visual Footprint of Separation Through Membrane Distillation on YouTube DOI Creative Commons
Ersin Aytaç, M. Khayet

Data, Journal Year: 2025, Volume and Issue: 10(2), P. 24 - 24

Published: Feb. 8, 2025

Social media has revolutionized the dissemination of information, enabling rapid and widespread sharing news, concepts, technologies, ideas. YouTube is one most important online video platforms our time. In this research, we investigate trace separation through membrane distillation (MD) on using statistical methods natural language processing. The dataset collected 04.01.2024 included 212 videos with key characteristics such as durations, views, subscribers, number comments, likes, etc. results show that not sufficient, but there an increasing trend, especially since 2019. high channels offering information about MD technology in countries USA, India, Canada indicates these recognized practical benefits technology, areas water treatment, desalination, industrial applications. This suggests could play a pivotal role finding solutions to global challenges. Word cloud analysis showed terms “water”, “treatment”, “desalination”, “separation” were prominent, indicating focused mainly principles applications MD. sentiment comments mostly positive, dominant emotion neutral, revealing viewers generally have positive attitude towards narrative intensity metric evaluates transfer efficiency provides guide for effective content creation strategies. analyses revealed social awareness still sufficient development strategies should focus bringing wider audience.

Language: Английский

Citations

1
The, role of feed spacers in membrane technology: 45 years of research DOI
Yazan Ibrahim, Ersin Aytaç, Noman Khalid Khanzada

et al.

Separation and Purification Technology, Journal Year: 2024, Volume and Issue: 357, P. 130109 - 130109

Published: Oct. 19, 2024

Language: Английский

Citations

4
A metadata survey of photothermal membranes for solar-driven membrane distillation DOI
Ersin Aytaç, Farah Ejaz Ahmed, Faissal Aziz

et al.

Separation and Purification Technology, Journal Year: 2025, Volume and Issue: unknown, P. 132565 - 132565

Published: March 1, 2025

Language: Английский

Citations

0
Deep insights on gypsum scaling in DCMD using computational fluid dynamics: Role of spacer design DOI

Balsam Swaidan,

Mohamed I. Hassan Ali, Rashid K. Abu Al‐Rub

et al.

Desalination, Journal Year: 2025, Volume and Issue: unknown, P. 118967 - 118967

Published: April 1, 2025

Language: Английский

Citations

0
Reverse Osmosis Membrane Engineering: Multidirectional Analysis Using Bibliometric, Machine Learning, Data, and Text Mining Approaches DOI Creative Commons
Ersin Aytaç, Noman Khalid Khanzada, Yazan Ibrahim

et al.

Membranes, Journal Year: 2024, Volume and Issue: 14(12), P. 259 - 259

Published: Dec. 6, 2024

Membrane engineering is a complex field involving the development of most suitable membrane process for specific purposes and dealing with design operation technologies. This study analyzed 1424 articles on reverse osmosis (RO) from Scopus database to provide guidance future studies. The results show that since first article was published in 1964, domain has gained popularity, especially 2009. Thin-film composite (TFC) polymeric material been primary focus RO experts, 550 this topic. use nanomaterials polymers also high, 821 articles. Common problems such as fouling, biofouling, scaling have center work dedication, 324 these issues. Wang J. leader number (73), while Gao C. other metrics. Journal Science preferred source publication related Author social networks analysis shows there are five core clusters, dominant cluster 4 researchers. sentiment, subjectivity, emotion indicates abstracts positively perceived, objectively written, emotionally neutral.

Language: Английский

Citations

2
Exploring the potential of Donnan dialysis for sustainable water treatment: A bibliometric analysis on global research trends and future directions DOI Creative Commons
Ali Boubakri

Desalination and Water Treatment, Journal Year: 2024, Volume and Issue: 320, P. 100700 - 100700

Published: Aug. 12, 2024

Donnan dialysis (DD) offers significant opportunities to improve contaminant removal and resource recovery from water wastewater. Consuming low amounts of chemicals energy, DD is a sustainable forward-looking technology. This review conducts bibliometric analysis 253 articles published between 1990 2023 identify global research trends in DD. The study reveals key metrics such as publication patterns, most productive countries, authorships, influential articles, keyword co-occurrence. Specific achievements the field include development high-selectivity ion-exchange membranes hybrid systems combining with other separation techniques. Current directions emphasize nutrient recovery, membrane modification, numerical optimize performance. identified four distinct clusters: environmental applications, modeling. Potential future highlight need for customized tackle emerging contaminants enhance efficiency. integration artificial intelligence projected accelerate these advancements, enabling more effective solutions remediation biomolecule separation. underscores pivotal role shaping its potential address new challenges within circular economy concept.

Language: Английский

Citations

1
Capítulo 7: Propuesta de un modelo computacional basado en agentes para un sistema productivo Lean Circular en el sector pesquero DOI
Juan Carlos Muyulema Allaica, Jordán Antonio Lindao-Estupiñan, Kruger Iván Loor-Santana

et al.

Published: July 31, 2024

Los sistemas productivos lineales tienen un impacto significativo en el sector pesquero. Estos sistemas, caracterizados por la producción continua y enfoque lineal extracción utilización de recursos, han generado desafíos consecuencias negativas para sostenibilidad pesca. Este negativo se extiende a economía las comunidades dependientes pesca, ya que disminución poblaciones peces afecta disponibilidad recursos medios vida personas involucradas industria pesquera. La modelación basada agentes (MBA) es una técnica utilizada simular analizar complejos mediante creación entidades autónomas llamadas “agentes” interactúan entre sí con su entorno. En esencia, cada agente sigue reglas comportamientos específicos, lo cual permite estudiar cómo emergen patrones fenómenos nivel del sistema partir interacciones individuales. El presente trabajo investigativo tuvo como objetivo llevar cabo computacional productivo tradicional Lean Circular establecer comparaciones los parámetros establecidos. Se pudo evidenciar mejor opción industrias optar cambiar paradigma circular, dado no solo mejora ambiental, sino también socioeconómica, estableciendo más amigables medio ambiente través cooperaciones simbióticas participan. Además, planteó índice pesquero, ayudaría medir evolución adaptación este complejo.

Citations

0
Modeling and experimental validation of nanophotonics-enhanced solar membrane distillation technology for treating reverse osmosis brine DOI Creative Commons

Mayar Elrakhawi,

Ahmed F. Tayel, Amr M. Abdelrazek

et al.

Applied Water Science, Journal Year: 2024, Volume and Issue: 15(1)

Published: Dec. 28, 2024

A novel, cost-efficient Nanophotonic Enhanced Solar Membrane Distillation (NESMD) system, a solar-driven water desalination technology, was studied. The system features photothermal membrane acting as solar collector for distillation, thus eliminating the need an external condenser. To address system's vulnerability to thermal losses, comprehensive mathematical model developed and validated against real-world experimental data. This represents intricately coupled heat mass transfer within sweeping-air NESMD incorporating loss considerations. modeling strategy involved dividing module into sub-cells implementing finite difference method detailed analysis. led series of nonlinear simultaneous equations, which were resolved via computational code using MATLAB software. exhibited commendable conformity data, exhibiting relative percentage error less than 10% average permeate flux identifying losses high 63%. Depending on operating conditions, transferred surroundings takes lead among contributors at higher feed rates (up 25%), whereas conduction across dominates 42%) low rates. study established exponential correlation between production energy, with coefficient ranging from 9.5 30 W m−2 K−1 determination 0.96. An integral part this work includes calculating energy utilization clarifying performance. Furthermore, examines influence diverse operational geometric parameters, providing insights enhancing Hence, increase in layer thickness enhances freshwater by 7%. Due intensification irradiance, increased ninefold, specific consumption decreased 134 kW hr m−3. research underscores potential sustainable desalination, that lays groundwork future advancements distillation technology.

Language: Английский

Citations

0