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All Outputs (34)

Predictability of higher heating value of biomass feedstocks via proximate and ultimate analyses – A comprehensive study of artificial neural network applications (2022)
Journal Article

Higher heating value (HHV) is a key characteristic for the assessment and selection of biomass feedstocks as a fuel source. The HHV is usually measured using an adiabatic oxygen bomb calorimeter; however, this method can be time consuming and expensi... Read More about Predictability of higher heating value of biomass feedstocks via proximate and ultimate analyses – A comprehensive study of artificial neural network applications.

Investigation of the hydrodynamics in the regenerator of fluid catalytic cracking unit integrated by chemical looping combustion (2021)
Journal Article

Oil refineries are responsible for 4–6% of global CO2 emissions, and 20–35% of these emissions released from the regenerator of Fluid Catalytic Cracking (FCC) units, which are the essential units for the conversion of heavier petroleum residues (vacu... Read More about Investigation of the hydrodynamics in the regenerator of fluid catalytic cracking unit integrated by chemical looping combustion.

Hydrothermal conversion of different lignocellulosic biomass feedstocks - Effect of the process conditions on hydrochar structures (2021)
Journal Article

Five biomass feedstocks (Coffee residues, Rice waste, Whitewood, Zilkha black, and Lignin) were hydrothermally processed in a semi-continuous flow rig using 9 different processing conditions (75, 150, 250 °C, and 1, 50, 240 bar). Solid residues produ... Read More about Hydrothermal conversion of different lignocellulosic biomass feedstocks - Effect of the process conditions on hydrochar structures.

Prediction of sorption enhanced steam methane reforming products from machine learning based soft-sensor models (2020)
Journal Article

Carbon dioxide-abated hydrogen can be synthesised via various processes, one of which is sorption enhanced steam methane reforming (SE-SMR), which produces separated streams of high purity H2 and CO2. Properties of hydrogen and the sorbent material h... Read More about Prediction of sorption enhanced steam methane reforming products from machine learning based soft-sensor models.

Demonstrating the applicability of chemical looping combustion for the regeneration of fluid catalytic cracking catalysts (2020)
Journal Article

© 2020 Elsevier B.V. Fluid Catalytic Cracking (FCC) units are responsible for roughly 25% of CO2 emissions from oil refineries, which themselves account for 4–6% of total global CO2 emissions. Although post- and oxy-combustion technologies have been... Read More about Demonstrating the applicability of chemical looping combustion for the regeneration of fluid catalytic cracking catalysts.

Methylation of 2-methylnaphthalene over metal-impregnated mesoporous MCM-41 for the synthesis of 2,6-triad dimethylnaphthalene isomers (2020)
Journal Article

2,6-Dimethylnaphthalene (2,6-DMN) is one of the key intermediates for the production of polyethylene naphthalate (PEN), which demonstrates superior properties compared with the polyethylene terephthalate. However, the complex synthesis procedure of 2... Read More about Methylation of 2-methylnaphthalene over metal-impregnated mesoporous MCM-41 for the synthesis of 2,6-triad dimethylnaphthalene isomers.

Understanding the liquefaction mechanism of Beypazarı lignite in tetralin with ultraviolet irradiation using discrete time models (2019)
Journal Article

This study has proposed four different liquefaction models consisting of both reversible and irreversible reaction steps with three lumped parameters, asphaltenes, preasphaltenes, and oils, for the liquefaction of Turkish lignite (Beypazarı-Çayırhan)... Read More about Understanding the liquefaction mechanism of Beypazarı lignite in tetralin with ultraviolet irradiation using discrete time models.

Application of Kalman filter to determination of coal liquefaction mechanisms using discrete time models (2017)
Journal Article

Seven different liquefaction mechanisms that consist of reversible and irreversible steps are suggested for a Turkish lignite (Tunçbilek) in tetralin with the use of microwave heating. Compliance of the proposed mechanisms are determined by forming f... Read More about Application of Kalman filter to determination of coal liquefaction mechanisms using discrete time models.