Artificial intelligence-incorporated membrane fouling prediction for membrane-based processes in the past 20 years: A critical review

C Niu, X Li, R Dai, Z Wang - Water Research, 2022 - Elsevier
Membrane fouling is one of major obstacles in the application of membrane technologies.
Accurately predicting or simulating membrane fouling behaviours is of great significance to …

Artificial neural network modeling of wastewater treatment and desalination using membrane processes: A review

J Jawad, AH Hawari, SJ Zaidi - Chemical Engineering Journal, 2021 - Elsevier
The freshwater scarcity is causing a major challenge due to the growing global population.
The brackish water and seawater are the biggest sources of water on the planet. Therefore …

Solar powered desalination–Technology, energy and future outlook

FE Ahmed, R Hashaikeh, N Hilal - Desalination, 2019 - Elsevier
Growing water demands have led to rapidly increasing desalination installation capacity
worldwide. In an attempt to lower carbon footprint resulting from high-energy consuming …

A review on modeling of solar photovoltaic systems using artificial neural networks, fuzzy logic, genetic algorithm and hybrid models

KS Garud, S Jayaraj, MY Lee - International Journal of Energy …, 2021 - Wiley Online Library
The uncertainty associated with modeling and performance prediction of solar photovoltaic
systems could be easily and efficiently solved by artificial intelligence techniques. During the …

Membrane distillation: Perspectives for sustainable and improved desalination

D González, J Amigo, F Suárez - Renewable and Sustainable Energy …, 2017 - Elsevier
Membrane distillation (MD) is a promising separation technology that can help reducing the
worldwide water-energy stress in a sustainable way. MD uses low-grade thermal energy to …

Recent advances and future prospects in direct solar desalination systems using membrane distillation technology

A Bamasag, E Almatrafi, T Alqahtani, P Phelan… - Journal of Cleaner …, 2023 - Elsevier
Water desalination has become one of the viable solutions for water shortages in regions
with limited natural resources. In the last two decades, more attention has been paid to …

Membrane distillation driven by solar energy: a review

SM Shalaby, AE Kabeel, HF Abosheiasha… - Journal of Cleaner …, 2022 - Elsevier
Membrane distillation (MD) is considered a promising technology that is expected to
compete with reverse osmosis (RO) for water desalination. The superiority of MD is mainly …

A comparative performance analysis of ANN algorithms for MPPT energy harvesting in solar PV system

RB Roy, M Rokonuzzaman, N Amin, MK Mishu… - IEEE …, 2021 - ieeexplore.ieee.org
In this paper, artificial neural network (ANN) based Levenberg-Marquardt (LM), Bayesian
Regularization (BR) and Scaled Conjugate Gradient (SCG) algorithms are deployed in …

Application of artificial intelligence techniques for modeling, optimizing, and controlling desalination systems powered by renewable energy resources

ET Sayed, AG Olabi, K Elsaid, M Al Radi… - Journal of Cleaner …, 2023 - Elsevier
Utilizing various renewable energy resources (RERs) for powering desalination plants is an
encouraging choice, specifically in arid and remote areas where conventional resources are …

Insight into pressure-swing distillation from azeotropic phenomenon to dynamic control

S Liang, Y Cao, X Liu, X Li, Y Zhao, Y Wang… - … Research and Design, 2017 - Elsevier
Pressure-swing distillation (PSD) is widely used as an efficient method for separating
pressure-sensitive azeotropic mixtures in industrial processes. Remarkably, PSD can …