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U­ur ÍZVEREN
U­ur ÍZVEREN
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Title
Cited by
Cited by
Year
Investigation of the slow pyrolysis kinetics of olive oil pomace using thermo-gravimetric analysis coupled with mass spectrometry
U Ízveren, ZS Ízdo­an
Biomass and bioenergy 58, 168-179, 2013
742013
A deep learning approach for prediction of syngas lower heating value from CFB gasifier in Aspen plus«
F Kartal, U Ízveren
Energy 209, 118457, 2020
732020
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 Ízveren
International Journal of Hydrogen Energy 46 (39), 20377-20396, 2021
492021
An artificial intelligence approach to predict gross heating value of lignocellulosic fuels
U Ozveren
Journal of the Energy Institute 90 (3), 397-407, 2017
402017
A comparative study for biomass gasification in bubbling bed gasifier using Aspen HYSYS
F Kartal, U Ízveren
Bioresource Technology Reports 13, 100615, 2021
292021
Prediction of torrefied biomass properties from raw biomass
F Kartal, U Ízveren
Renewable Energy 182, 578-591, 2022
272022
Prediction of chemical exergy of syngas from downdraft gasifier by means of machine learning
S Sezer, F Kartal, U Ízveren
Thermal Science and Engineering Progress 26, 101031, 2021
232021
Investigation of steam gasification in thermogravimetric analysis by means of evolved gas analysis and machine learning
U Ízveren, F Kartal, S Sezer, ZS Ízdo­an
Energy 239, 122232, 2022
222022
An improved machine learning approach to estimate hemicellulose, cellulose, and lignin in biomass
F Kartal, U Ízveren
Carbohydrate Polymer Technologies and Applications 2, 100148, 2021
222021
Energy and exergy analysis of entrained bed gasifier/GT/Kalina cycle model for CO2 co-gasification of waste tyre and biochar
F Kartal, U Ízveren
Fuel, 125943, 2023
212023
Prediction of activation energy for combustion and pyrolysis by means of machine learning
F Kartal, U Ízveren
Thermal Science and Engineering Progress 33, 101346, 2022
212022
Artificial intelligence approach in gasification integrated solid oxide fuel cell cycle
S Sezer, F Kartal, U Ízveren
Fuel 311, 122591, 2022
212022
The investigation of co-combustion process for synergistic effects using thermogravimetric and kinetic analysis with combustion index
S Sezer, F Kartal, U Ízveren
Thermal Science and Engineering Progress 23, 100889, 2021
202021
Investigation of the chemical exergy of torrefied biomass from raw biomass by means of machine learning
F Kartal, U Ízveren
Biomass and Bioenergy 159, 106383, 2022
192022
Investigation of an integrated circulating fluidized bed gasifier/steam turbine/proton exchange membrane (PEM) fuel cell system for torrefied biomass and modeling withá…
F Kartal, U Ízveren
Energy Conversion and Management 263, 115718, 2022
172022
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 38á…, 2016
132016
Investigation of steam and CO2 gasification for biochar using a circulating fluidized bed gasifier model in Aspen HYSYS
F Kartal, S Sezer, U Ízveren
Journal of CO2 Utilization 62, 102078, 2022
122022
Theoretical and experimental investigation of biomass and coal gasification
U Ízveren
PQDT-Global, 2013
112013
Pem yakřt hŘcrelerinin yapay sinir a­larř ile modellenmesi
U ÍZVEREN
112006
Novel multistage kinetic models for biomass pyrolysis and CO2 gasification by means of reaction pathways
F Kartal, U Ízveren
Bioresource Technology Reports 15, 100804, 2021
72021
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