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Developing sustainable draw solute for forward osmosis process using poly(amidoamine) dendrimer coated magnetic nanoparticles
(
Elsevier B.V.
, 2023 , Article)
Forward osmosis is the least energy intensive water treatment membrane process, however, designing a sustainable draw solute is still a critical research necessity. In this work, we developed Poly(amidoamine) dendrimer ...
A study to investigate the energy recovery potential from different macromolecules of a low-lipid marine Tetraselmis sp. biomass through HTL process
(
Elsevier
, 2022 , Article)
This study investigated the hydrothermal liquefaction (HTL) of extracted major macromolecules from Tetraselmis sp. biomass. The carbohydrate fraction was first recovered from Tetraselmis biomass using pressurized heated ...
Condition assessment of sewer pipelines using multi attribute utility theory (MAUT)
(
International Society for Trenchless Technology
, 2016 , Conference)
Many municipalities rely on the interpretation of Closed Circuit Television (CCTV) inspection reports to arrive to a condition assessment grade for the inspected sewer pipelines. The grades stand as a key for decision ...
Automated detection of anomalies in sewer closed circuit television videos using proportional data modeling
(
International Society for Trenchless Technology
, 2016 , Conference)
Sewer pipeline condition information is usually collected using closed circuit television (CCTV). Moreover, in order to evaluate the condition of pipeline, data should be processed by a certified operator, which is time ...
Poly (amido amine) dendrimer based membranes for wastewater treatment - A critical review
(
Elsevier
, 2023 , Article Review)
Membrane based wastewater treatment technologies in which polymeric membranes are most commonly used have been extensively applied in water/wastewater treatment to help address the issue of water shortage through ...
Modeling of forward osmosis process using artificial neural networks (ANN) to predict the permeate flux
(
Elsevier
, 2020 , Article)
Artificial neural networks (ANN) are black box models that are becoming more popular than transport-based models due to their high accuracy and less computational time in predictions. The literature shows a lack of ANN ...
Harvesting of Chlorella sp. microalgae by dielectrophoretic force using titanium dioxide (TiO2) insulated electrodes
(
Elsevier
, 2022 , Article)
The harvesting of microalgae using conventional technologies suffers from biomass contamination, high energy consumption and long processing time. In this study, titanium dioxide insulated stainless steel electrodes were ...
The impact of electric field on the demulsification efficiency in an electro-coalescence process
(
Elsevier
, 2023 , Article)
In this study, the influence of the electric field and its determining parameters such as voltage, inter-electrode distance and frequency on the demulsification efficiency of a water-in-oil emulsion was studied. The numerical ...
A novel cylindrical electrode configuration for inducing dielectrophoretic forces during electrocoagulation
(
Elsevier
, 2020 , Article)
The removal of total phosphorous (TP) and chemical oxygen demand (COD) from a secondary treated wastewater (STW) using a new electrocoagulation electrode configuration was evaluated. Three different electrode modules were ...
Fouling suppression in submerged membrane bioreactors by obstacle dielectrophoresis
(
Elsevier
, 2018 , Article)
Submerged membrane bioreactor (MBR) is currently believed to be an efficient biological treatment for reusing and recovering wastewater to extenuate the ever increasing water scarcity crisis. To mitigate the main problem, ...