Journal Articles

Journal Publications and Preprints

  1. Kartal, F., & Özveren, U. (2022). Prediction of Torrefied Biomass Properties from Raw Biomass. Renewable Energy, 182, 578-591. https://doi.org/10.1016/j.renene.2021.10.042
  2. Özveren, U., Sezer, S., Kartal, F., Özdoğan, Z. S. (2022). Investigation of steam gasification in thermogravimetric analysis by means of evolved gas analysis and machine learning. Energy, 239, Part C, 122232. https://doi.org/10.1016/j.energy.2021.122232
  3. Kartal, F., & Özveren, U. (2021). An Improved Machine Learning Approach to Estimate Hemicellulose, Cellulose, and Lignin in Biomass. Carbohydrate Polymer Technologies and Applications, 2, 100148. https://doi.org/10.1016/j.carpta.2021.100148
  4. Kartal, F., & Özveren, U. (2021). Novel multistage kinetic models for biomass pyrolysis and CO2 gasification by means of reaction pathways. Bioresource Technology Reports, 25, 100804. https://doi.org/10.1016/j.biteb.2021.100804
  5. Sezer, S., Kartal, F., & Özveren, U. (2021). Prediction of Chemical Exergy of Syngas From Downdraft Gasifier by Means of Machine Learning. Thermal Science and Engineering Progress, 25, 101031. https://doi.org/10.1016/j.tsep.2021.101031
  6. Sezer, S., & Özveren, U. (2021). Investigation of syngas exergy value and hydrogen concentration in syngas from biomass gasification in a bubbling fluidized bed gasifier by using machine learning. International Journal of Hydrogen Energy, 46(39), 20377-20396. https://doi.org/10.1016/j.ijhydene.2021.03.184
  7. Sezer, S., & Özveren, U. (2021). Investigation of Hazelnut Husk Combustion by using A Novel Non-linear Kinetic Model through Thermogravimetric Analysis. Sakarya University Journal of Science, 25(2), 42-54. https://doi.org/10.16984/saufenbilder.811684
  8. Sezer, S., Kartal, F., & Özveren, U. (2021). The Investigation of Co-Combustion Process for Synergistic Effects Using Thermogravimetric and Kinetic Analysis with Combustion Index. Thermal Science and Engineering Progress, 23, 100889. https://doi.org/10.1016/j.tsep.2021.100889
  9. Kartal, F., & Özveren, U. (2021). A comparative study for biomass gasification in bubbling bed gasifier using Aspen HYSYS. Bioresource Technology Reports, 13, 100615.  https://doi.org/10.1016/j.biteb.2020.100615
  10. Yakışık H, Özveren U. (2021). Synthesis of Polyaniline/Biochar Composite Material and Modeling with Nonlinear Model for Removal of Copper (II) Heavy Metal Ions. JOTCSA, 8(1), 291–304. https://doi.org/10.18596/jotcsa.635073.
  11. Kartal, F., Cingisiz, Ş., Özveren, U. (2021). Çan Kömürü Gazlaştırılmasının Sürüklemeli Akış Gazlaştırıcıda Aspen PLUS® Kullanılarak İncelenmesi. DEUFMD, 23(67), 309-318. https://doi.org/10.21205/deufmd.2021236727
  12. Sezer, S., Yakışık, H., Kartal, F., Fuçucu, N. N., Dalbudak, Y., Yaşar, S., Özveren, U. (2020). Prediction of NOx Emissions with A Novel ANN Model in Adana. Hittite Journal of Science and Engineering, 7(4), 265270. https://doi.org/10.17350/HJSE19030000195
  13. Kartal, F., & Özveren, U. (2020). A deep learning approach for prediction of syngas lower heating value from CFB gasifier in Aspen plus®. Energy, 209, 118457. https://doi.org/10.1016/j.energy.2020.118457
  14. Sezer, S., & Özveren, U. (2020). Energy and Exergy Analysis on Bubbling Fluidized Bed Gasifier Using Aspen Plus Simulation. Journal of the Turkish Chemical Society Section B: Chemical Engineering3(2), 55-64. https://dergipark.org.tr/tr/pub/jotcsb/issue/54720/659729
  15. Sezer, S., & Özveren, U. (2019). Simulation of rice straw gasification in bubbling bed reactor using ASPEN PLUS.  Gedik University International Journal Of Engineering And Natural Sciences (IJENS), 3(2), 7-14. https://www.gedik.edu.tr/wp-content/uploads/IJENS-Vol.2-No.2.pdf
  16. Özveren, U. (2017). An artificial intelligence approach to predict gross heating value of lignocellulosic fuels. Journal of the Energy Institute, 90(3), 397-407.  https://doi.org/10.1016/j.joei.2016.04.003
  17. Özveren, U., Dilmaç, Ö. F., Mert, M. S., & Albayrak, F. K. (2017). Investigation of the Chemical Exergy of Torrefied Lignocellulosic Fuels using Artificial Neural Networks. Journal of the Turkish Chemical Society Section B: Chemical Engineering, 1(Sp. is. 1), 69-76. https://dergipark.org.tr/tr/pub/jotcsb/issue/31518/345327
  18. Özveren, U. (2016). An artificial intelligence approach to predict a lower heating value of municipal solid waste. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 38(19), 2906-2913. https://doi.org/10.1080/15567036.2015.1107864
  19. Özveren, U., & Özdoğan, Z. S. (2013). Investigation of the slow pyrolysis kinetics of olive oil pomace using thermo-gravimetric analysis coupled with mass spectrometry. Biomass and Bioenergy, 58, 168-179. https://doi.org/10.1016/j.biombioe.2013.08.011