Dr. Öğr. Üyesi Özgün YÜCEL
Kimya Mühendisliği

Özgün YÜCEL
Telefon
(262) 605 21 23
E-Posta
yozgungtu.edu.tr
Ofis
B2 Blok, 214
Çalışma alanları
Enerji Sistemleri, Kimyasal Reaksiyon Mühendisliği, Matematiksel Modelleme, Hidrojen Üretimi, Yenilenebilir Enerji, Gazlaştırma, Yapay Zeka

PUBLICATIONS

  1. Aydin, E. S., Yucel, O. (2023). Computational fluid dynamics study of hydrogen production using concentrated solar radiation as a heat source.Energy Conversion and Management,76, 116552.
  2. Yucel, O., Aydin, E. S. (2022). Modeling of biomass-based hydrogen production via catalytic sorption-enhanced reformer integrated with a gasifier.;Journal of the Indian Chemical Society, 100854.
  3. Yaka, H., Insel, M. A., Yucel, O., Sadikoglu, H. (2022). A comparison of machine learning algorithms for estimation of higher heating values of biomass and fossil fuels from ultimate analysis.;Fuel,320, 123971.
  4. Şahin, E., Ertuğrul, O., Yücel, Ö. (2022). Effects of particle size and sintering atmosphere on the structure and performance of 316L/SiC composite hollow fiber membranes.Journal of Porous Materials,29(3), 827-836.
  5. Angardi, V., Ettehadi, A., Yücel, Ö. (2022). Critical Review of Emulsion Stability and Characterization Techniques in Oil Processing.Journal of Energy Resources Technology,144(4)
  6. Çiftçioğlu, E., Yücel, Ö., Işık, V., Keleş, A., Kayahan, M. B. (2022). Irrigant flow characteristics in the root canal with internal root resorption: a computational fluid dynamics evaluation.Odontology, 1-8
  7. Elmaz,F.,Yücel, Ö. (2020). Data-driven identification and model predictive control of biomass gasification process for maximum energy production. Energy, 195, 117037.
  8. Elmaz, F., Büyükçakır, B., Yücel, Ö.,Mutlu, A. Y. (2020). Classification of solid fuels with machine learning. Fuel, 266, 117066.
  9. Elmaz, F., Yücel, Ö.,Mutlu, A. Y. (2020). Predictive modeling of biomass gasification with machine learning-based regression methods. Energy, 191, 116541.
  10. Yucel, O., Aydin, E. S., Sadikoglu, H. (2019), ‘Comparison of the different artificial neural networks in prediction of biomass gasification products”, International Journal of Energy Research,43(11), 5992-6003.
  11. Aydin, E. S., Yucel, O., Sadikoglu, H. (2019), “Experimental study on hydrogen-rich syngas production via gasification of pine cone particles and wood pellets in a fixed bed downdraft gasifier”, International Journal of Hydrogen Energy, 44(32), 17389-17396.
  12. Mutlu, A. Y., Yucel, O. (2018). An artificial intelligence based approach to predicting syngas composition for downdraft biomass gasification. Energy, 165 (A), 895-901
  13. Aydin, E. S., Yucel, O., Sadikoglu, H. (2018), “Numerical and experimental investigation of hydrogen-rich syngas production via biomass gasification”, International Journal of Hydrogen Energy, 43(2), 1105-1115.
  14. Aydin, E. S., Yucel, O., Sadikoglu, H. (2017), “Development of a semi-empirical equilibrium model for downdraft gasification systems”, Energy,130, 86-98.
  15. Aydin, E. S., Yucel, O., and Sadikoglu, H. (2017), “Modelling and simulation of a moving interface problem: freeze drying of black tea extract”, Heat and Mass Transfer, 53(6), 2143-2154.
  16. Yucel O.,Hastaoglu M.A., (2016) Kinetic modeling and simulation of throated downdraft gasifier. Fuel Processing Technol 144:145–154., doi: 10.1016/j.fuproc.2015.12.023
  17. Yucel O., Hastaoglu M.A., (2016) Comprehensive Study of Steam Reforming of Methane in Membrane Reactors, J. Energy Resour. Technol., 138(5) 052204 2016 doi: 10.1115/1.4032733
  18. Kayhan Ö., Yücel Ö., Hastaoğlu M. A., (2016) Simulation and Control of Serviceable Stratospheric Balloons Traversing a Region via Transport Phenomena and PID, Aerospace Science and Technology. Volume 53, Pages 232-240, ISSN 1270-9638

BOOK CHAPTER

  1. Ebubekir S. Aydin, Ozgun Yucel and Hasan Sadikoglu, Chapter 2.6-Numerical Investigation of Fixed-Bed Downdraft Woody Biomass Gasification, In Exergetic, Energetic and Environmental Dimensions, edited by Ibrahim Dincer, C. Ozgur Colpan and Onder Kizilkan, Academic Press, 2018, Pages 323-339, ISBN 9780128137345.
  2. Kayhan Ö., Yücel Ö., Hastaoğlu M. A., “Performance Simulation of Serviceable Stratospheric Balloon Control Using Matlab/Simulink” Sustainable Aviation: Energy and Environmental Issues, First Edition, Springer, pp. 177-184, 2016 (ISBN: 978-319-34179-8)

2022 HAVVA DEMİRCİ İNDÜKSİYON ISITMA İLE MİKRO VE NANO DESENLERİN POLİMER YÜZEYLERE BASKILANMASI Gebze Teknik Üniversitesi

2022 HAVVA YAKA DEVELOPMENT OF A CORRELATION FOR ESTIMATION OF BIOMASS HIGHER HEATING VALUE WITH STATISTICAL AND MACHINE LEARNING BASED APPROACHES Yıldız Teknik Üniversitesi

2022 EZGİ YILDIRIM USING TIRE WASTES AS SYNTHESIS GASES Yıldız Teknik Üniversitesi

2021 EZGİ ŞAHİN Production and characterization of 316l and 316l/SİC hollow fiber membranes sintered in various atmospheres İzmir Katip Çelebi Üniversitesi

2021 KAMER SOLMAZ Atık biyokütlelerden piroliz yöntemi ile hidrojence zengin sentez gazı üretimi Gebze Teknik Üniversitesi

2021 SAMAHIR SHEIKH IDRIS Investigating the effects of bentonite nanoparticles and sorbitol addition on PVP-CMC-gums hydrogel films for biomedical applications Gebze Teknik Üniversitesi

2020 FURKAN ELMAZ A machine learning approach to biomass gasification process İzmir Katip Çelebi Üniversitesi

2018 NİLAY YAKICI Urban regeneration contexts in historical city centers: Izmir, Kemeralti case İzmir Katip Çelebi Üniversitesi


  • Doktora: Gebze Teknik Üniversitesi
  • Yüksek lisans: Gebze Teknik Üniversitesi
  • Lisans: Hacettepe Üniversitesi
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