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Uğur ÖZVEREN
Uğur ÖZVEREN
Verified email at marmara.edu.tr - Homepage
Title
Cited by
Cited by
Year
A deep learning approach for prediction of syngas lower heating value from CFB gasifier in Aspen plus®
F Kartal, U Özveren
Energy 209, 118457, 2020
872020
Investigation of the slow pyrolysis kinetics of olive oil pomace using thermo-gravimetric analysis coupled with mass spectrometry
U Özveren, ZS Özdoğan
Biomass and Bioenergy 58, 168-179, 2013
762013
Investigation of syngas exergy value and hydrogen concentration in syngas from biomass gasification in a bubbling fluidized bed gasifier by using machine learning
S Sezer, U Özveren
International Journal of Hydrogen Energy 46 (39), 20377-20396, 2021
642021
An artificial intelligence approach to predict gross heating value of lignocellulosic fuels
U Ozveren
Journal of the Energy Institute 90 (3), 397-407, 2017
442017
A comparative study for biomass gasification in bubbling bed gasifier using Aspen HYSYS
F Kartal, U Özveren
Bioresource Technology Reports 13, 100615, 2021
392021
Prediction of torrefied biomass properties from raw biomass
F Kartal, U Özveren
Renewable Energy 182, 578-591, 2022
362022
Prediction of chemical exergy of syngas from downdraft gasifier by means of machine learning
S Sezer, F Kartal, U Özveren
Thermal Science and Engineering Progress 26, 101031, 2021
322021
Prediction of activation energy for combustion and pyrolysis by means of machine learning
F Kartal, U Özveren
Thermal Science and Engineering Progress 33, 101346, 2022
302022
An improved machine learning approach to estimate hemicellulose, cellulose, and lignin in biomass
F Kartal, U Özveren
Carbohydrate Polymer Technologies and Applications 2, 100148, 2021
272021
Energy and exergy analysis of entrained bed gasifier/GT/Kalina cycle model for CO2 co-gasification of waste tyre and biochar
F Kartal, U Özveren
Fuel, 125943, 2023
252023
Artificial intelligence approach in gasification integrated solid oxide fuel cell cycle
S Sezer, F Kartal, U Özveren
Fuel 311, 122591, 2022
252022
The investigation of co-combustion process for synergistic effects using thermogravimetric and kinetic analysis with combustion index
S Sezer, F Kartal, U Özveren
Thermal Science and Engineering Progress 23, 100889, 2021
242021
Investigation of steam gasification in thermogravimetric analysis by means of evolved gas analysis and machine learning
U Özveren, F Kartal, S Sezer, ZS Özdoğan
Energy 239, 122232, 2022
232022
Investigation of the chemical exergy of torrefied biomass from raw biomass by means of machine learning
F Kartal, U Özveren
Biomass and Bioenergy 159, 106383, 2022
212022
Investigation of steam and CO2 gasification for biochar using a circulating fluidized bed gasifier model in Aspen HYSYS
F Kartal, S Sezer, U Özveren
Journal of CO2 Utilization 62, 102078, 2022
202022
Investigation of an integrated circulating fluidized bed gasifier/steam turbine/proton exchange membrane (PEM) fuel cell system for torrefied biomass and modeling with …
F Kartal, U Özveren
Energy Conversion and Management 263, 115718, 2022
192022
An artificial intelligence approach to predict a lower heating value of municipal solid waste
U Ozveren
Energy sources, part a: recovery, utilization, and environmental effects 38 …, 2016
142016
Prediction of thermal degradation of biopolymers in biomass under pyrolysis atmosphere by means of machine learning
F Kartal, Y Dalbudak, U Özveren
Renewable Energy 204, 774-787, 2023
132023
Pem yakıt hücrelerinin yapay sinir ağları ile modellenmesi
U Özveren
Fen Bilimleri Enstitüsü, 2006
132006
Theoretical and experimental investigation of biomass and coal gasification
U Özveren
PQDT-Global, 2013
112013
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