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 | 66 | 2013 |
An artificial intelligence approach to predict gross heating value of lignocellulosic fuels U Ozveren Journal of the Energy Institute 90 (3), 397-407, 2017 | 30 | 2017 |
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 | 22 | 2020 |
A comparative study for biomass gasification in bubbling bed gasifier using Aspen HYSYS F Kartal, U Özveren Bioresource Technology Reports 13, 100615, 2021 | 16 | 2021 |
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 | 12 | 2021 |
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 | 10 | 2016 |
Theoretical and experimental investigation of biomass and coal gasification U Özveren PQDT-Global, 2013 | 9 | 2013 |
Pem yakıt hücrelerinin yapay sinir ağları ile modellenmesi U Özveren | 8 | 2006 |
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 | 5 | 2021 |
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 | 4 | 2022 |
Novel multistage kinetic models for biomass pyrolysis and CO2 gasification by means of reaction pathways F Kartal, U Özveren Bioresource Technology Reports 15, 100804, 2021 | 4 | 2021 |
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 | 4 | 2021 |
T G-MS ve FTIR Kullanılarak Fındık Kabuğunun Gazlaştırılmasının İncelenmesi U Özveren, D Bozdağ, S Şahin, S Özdoğan Onuncu Ulusal Kimya Mühendisliği Kongresi, 3-6, 2012 | 3 | 2012 |
Prediction of torrefied biomass properties from raw biomass F Kartal, U Özveren Renewable Energy 182, 578-591, 2022 | 2 | 2022 |
Pirinanın pirolizinin TG-MS kullanılarak incelenmesi ve FTIR ile karakterizasyonu U Özveren, A Boztepe, H Bilakaya, GE Ciğer, GÖ Özbakır, ZS Özdoğan Onuncu Ulusal Kimya Mühendisliği Kongresi, 3-6, 2010 | 2 | 2010 |
Artificial Intelligence Approach in Gasification Integrated Solid Oxide Fuel Cell Cycle S Sezer, F Kartal, U Özveren Fuel 311, 122591, 2022 | 1 | 2022 |
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 | 1 | 2021 |
Synthesis of Polyaniline/Biochar composite material and modeling with nonlinear model for removal of copper (II) heavy metal ions H YAKIŞIK, U ÖZVEREN Journal of the Turkish Chemical Society Section A: Chemistry 8 (1), 291-304, 2021 | 1 | 2021 |
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 | | 2022 |
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 | | 2022 |