Artificial intelligence-incorporated membrane fouling prediction for membrane-based processes in the past 20 years: A critical review
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 …
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
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 …
The brackish water and seawater are the biggest sources of water on the planet. Therefore …
Solar powered desalination–Technology, energy and future outlook
Growing water demands have led to rapidly increasing desalination installation capacity
worldwide. In an attempt to lower carbon footprint resulting from high-energy consuming …
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
The uncertainty associated with modeling and performance prediction of solar photovoltaic
systems could be easily and efficiently solved by artificial intelligence techniques. During the …
systems could be easily and efficiently solved by artificial intelligence techniques. During the …
Membrane distillation: Perspectives for sustainable and improved desalination
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 …
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
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 …
with limited natural resources. In the last two decades, more attention has been paid to …
Membrane distillation driven by solar energy: a review
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 …
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
In this paper, artificial neural network (ANN) based Levenberg-Marquardt (LM), Bayesian
Regularization (BR) and Scaled Conjugate Gradient (SCG) algorithms are deployed in …
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
Utilizing various renewable energy resources (RERs) for powering desalination plants is an
encouraging choice, specifically in arid and remote areas where conventional resources are …
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 …
pressure-sensitive azeotropic mixtures in industrial processes. Remarkably, PSD can …