Journal Articles

Journal Publications and Preprints

  1. Kartal, F., & Özveren, U. (2022). Investigation of an integrated circulating fluidized bed gasifier/steam turbine/proton exchange membrane (PEM) fuel cell system for torrefied biomass and modeling with artificial intelligence approach. Energy Conversion and Management  (Q1 Journal), https://doi.org/10.1016/j.enconman.2022.115718
  2. Yakışık H, Özveren U. (2022). The impact of the COVID-19 pandemic on the air quality (PM10) in Şile district of İstanbul, Turkey. International Journal of Advances in Engineering and Pure Sciences (TR-Index Journal), 34(2), In press.
  3. Kekik B., Sezer, S., Kartal, F., & Özveren U. (2022). Investigation of Microalgae Gasification Under steam Atmosphere in Downdraft Gasifier by using Aspen Plus®. Eskişehir Technical University Journal of Science and Technology A – Applied Sciences and Engineering (TR-Index Journal), In press.
  4. Kartal, F., & Özveren, U. (2022). Investigation of The Chemical Exergy of Torrefied Biomass from Raw Biomass by Means of Machine Learning. Biomass and Bioenergy  (Q1 Journal), https://doi.org/10.1016/j.biombioe.2022.106383
  5. Sezer, S., Kartal, F., & Özveren, U. (2022). Prediction of combustion reactivity for lignocellulosic fuels by means of machine learning. Journal of Thermal Analysis and Calorimetry  (Q2 Journal), https://doi.org/10.1007/s10973-022-11208-8
  6. Sezer, S., Kartal, F., & Özveren, U. (2022). Artificial Intelligence Approach in Gasification Integrated Solid Oxide Fuel Cell Cycle. Fuel  (Q1 Journal), 122591https://doi.org/10.1016/j.fuel.2021.122591
  7. Kartal, F., & Özveren, U. (2022). Prediction of Torrefied Biomass Properties from Raw Biomass. Renewable Energy   (Q1 Journal), 182, 578-591. https://doi.org/10.1016/j.renene.2021.10.042
  8. 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  (Q1 Journal), 239, Part C, 122232. https://doi.org/10.1016/j.energy.2021.122232
  9. Sezer, S., Fucucu, N. N., Özveren, U. (2021). Investigation of Oak Wood Biochar Gasification in Downdraft
    Gasifier Using Aspen Plus Simulation. Bioenergy Studies, 1(1), 15-23. http://doi.org/10.51606/bes.2021.3
  10. 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
  11. Kartal, F., & Özveren, U. (2021). Novel multistage kinetic models for biomass pyrolysis and CO2 gasification by means of reaction pathways. Bioresource Technology Reports  (Q1 Journal), 25, 100804. https://doi.org/10.1016/j.biteb.2021.100804  
  12. 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 (Q1 Journal), 25, 101031. https://doi.org/10.1016/j.tsep.2021.101031
  13. 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 (Q1 Journal)46(39), 20377-20396. https://doi.org/10.1016/j.ijhydene.2021.03.184
  14. 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 (TR-Index Journal), 25(2), 42-54. https://doi.org/10.16984/saufenbilder.811684
  15. 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(Q1 Journal), 23, 100889. https://doi.org/10.1016/j.tsep.2021.100889
  16. Kartal, F., & Özveren, U. (2021). A comparative study for biomass gasification in bubbling bed gasifier using Aspen HYSYS. Bioresource Technology Reports (Q1 Journal) , 13, 100615.  https://doi.org/10.1016/j.biteb.2020.100615
  17. 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 (TR-Index Journal), 8(1), 291–304. https://doi.org/10.18596/jotcsa.635073.
  18. Kartal, F., Cingisiz, Ş., Özveren, U. (2021). Çan Kömürü Gazlaştırılmasının Sürüklemeli Akış Gazlaştırıcıda Aspen PLUS® Kullanılarak İncelenmesi. DEUFMD (TR-Index Journal), 23(67), 309-318. https://doi.org/10.21205/deufmd.2021236727
  19. 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 (TR-Index Journal), 7(4), 265–270. https://doi.org/10.17350/HJSE19030000195
  20. Kartal, F., & Özveren, U. (2020). A deep learning approach for prediction of syngas lower heating value from CFB gasifier in Aspen plus®. Energy (Q1 Journal), 209, 118457. https://doi.org/10.1016/j.energy.2020.118457
  21. 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 Engineering (TR-Index Journal)3(2), 55-64. https://dergipark.org.tr/tr/pub/jotcsb/issue/54720/659729
  22. 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
  23. Özveren, U. (2017). An artificial intelligence approach to predict gross heating value of lignocellulosic fuels. Journal of the Energy Institute (Q1 Journal), 90(3), 397-407.  https://doi.org/10.1016/j.joei.2016.04.003
  24. 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 (TR-Index Journal), 1(Sp. is. 1), 69-76. https://dergipark.org.tr/tr/pub/jotcsb/issue/31518/345327
  25. 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
  26. 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 (Q1 Journal), 58, 168-179. https://doi.org/10.1016/j.biombioe.2013.08.011