Conference proceedings

Displaying 1 - 7 of 7 in column (remove filter)

CEST Proceedings are published under the ISSN 2944-9820.

Production of PHAs with enhanced properties from sugar-based wastewater in a two stage process

FOUSKAKIS G., STERGIOPOULOU E., ALEXANDROPOULOU M., (Corresponding) ANTONOPOULOU G., NTAIKOU I., LYBERATOS G.
Topic: 
Environmental biotechnology and bioenergy
The experimental design of the study was based on two different microbial processes, i.e. anaerobic fermentation of a sugar-based wastewater via mixed acidogenic cultures and aerobic polymerization of the produced acids and alcohols for poly-hydroxy-alkanoates (PHAs) production, via enriched...Read more
Keywords: 
PHAs, up-flow column reactor, SBR, two stage process
Conference: 
CEST2019
Paper ID: 
cest2019_00281

Removal of Cr(VI) under flow conditions using a green nano-iron loaded resin

(Corresponding) Toli A., Mystrioti C., Xenidis A., Papassiopi N.
Topic: 
Nanomaterials in the environmnents applications and effects
A new nanocomposite material, consisting of nanoiron incorporated in cationic resin beads, was evaluated for the removal of Cr(VI) under flow conditions, by conducting column experiments. An aqueous solution containing Cr(VI) 5 mg/L and NaCl 0.01 M as inert electrolyte was introduced in the column...Read more
Keywords: 
nanoiron loaded resin, cation exchange resin, hexavalent chromium, column tests
Conference: 
CEST2019
Paper ID: 
cest2019_00565

Waste water treatment with agricultural by-products: An investigation with date pit powder

(Corresponding) alghamdi A.
Topic: 
Wastewater treatment
Water is very precious and inevitable for every living objects including human beings. Fresh water sources are becoming scarce and all over the world a quantum of research is being carried out on water. Huge quantity of waste water is generated by us every day and there are various methods to...Read more
Keywords: 
Date pit powder; adsorbents; column filtration;
Conference: 
CEST2019
Paper ID: 
cest2019_00763

Comparison of the continuous fermentative hydrogen production efficiency from cheese whey in suspended and attached-biomass growth systems

ALEXANDROPOULOU M., LYBERATOS G., (Corresponding) ANTONOPOULOU G.
Topic: 
Wastewater treatment
In the present study, comparison of dark fermentation (DF) efficiency from cheese whey (CW) in an anaerobic UpFlow Column Reactor (AUFCR), filled with a support material for biomass attachment and a Continuous Stirred Tank reactor (CSTR), was assessed. The process efficiency and stability as well...Read more
Keywords: 
Cheese whey, Continuous stirred tank reactor, Upflow Column bioreactor, hydraulic retention time
Conference: 
CEST2021
Paper ID: 
cest2021_00405

SIMULATION AND PERFORMANCE EVALUATION OF OWC DEVICE OPERATING IN COASTAL REGIONS

(Corresponding) Belibassakis K., Magkouris A., Rusu E.
Topic: 
Energy technologies and sustainability
Wave energy converters are constantly being deployed in nearshore and coastal areas characterized by increased wave potential. The performance of the devices installed in the nearshore and coastal environment, where the sea bottom terrain may present significant variations, can be evaluated by...Read more
Keywords: 
Oscillating Water Column, wave energy, BEM
Conference: 
CEST2021
Paper ID: 
cest2021_00745

Chromium (VI) and nickel removal by resin supported nanomagnetite: column experiments

(Corresponding) Mystrioti C., Papassiopi N., Xenidis A.
Topic: 
Soil and groundwater contamination and remediation
Magnetite is a mixed-valent iron oxide with magnetic properties, which is considered as an efficient adsorbent for the removal of Cr(VI) from the aquatic environment. However nanomagnetite possesses difficulties for in situ remediation applications due to clogging effects and high separation cost...Read more
Keywords: 
nanomagnetite, cationic resin, flow conditions, column tests, Cr(VI) removal.
Conference: 
CEST2023
Paper ID: 
cest2023_00129

A Deep Learning Model, interpreted with an XAI technique, to simulate and optimize the remediation of oil-drilling cuttings in bubble flow reactors

Kalari K., Christodoulis K., Bali N., Theodoropoulou M., (Corresponding) Tsakiroglou C.
Topic: 
Environmental data analysis and modelling
A multitask deep neural network (DNN) is developed to simulate the ozonation of oil-drilling cuttings (ODC) and is interpreted through a technique of explainable artificial intelligence (XAI) to provide knowledge about the experimental conditions that will maximize the decontamination of ODC. On a...Read more
Keywords: 
Ozonation, Soil Remediation, Bubble Column Reactor, Deep Neural Networks, Multitask Learning, Explainable Artificial Intelligence.
Conference: 
CEST2023
Paper ID: 
cest2023_00166