Article
Agricultural Engineering
Jianjun Hu, Zhentao Jia, Shuheng Zhao, Wei Wang, Quanguo Zhang, Ronghou Liu, Zhen Huang
Summary: In this study, Fe-Ni/AC catalyst was prepared and used for catalytic gasification of various biomass feedstocks. It was found that Fe-Ni/AC had an impact on the H2/CO ratio of syngas and exhibited different catalytic effects on different biomass feedstocks.
BIORESOURCE TECHNOLOGY
(2021)
Article
Green & Sustainable Science & Technology
Ghulamullah Maitlo, Imran Ali, Kashif Hussain Mangi, Safdar Ali, Hubdar Ali Maitlo, Imran Nazir Unar, Abdul Majeed Pirzada
Summary: This article discusses the advantages and limitations of biowaste gasification and the effects of different gasifying agents and operating parameters on the quality of syngas production. Tar formation is a major issue in biomass gasification, but can be reduced with optimized gasifiers and high-activity catalysts. Improvements in biowaste treatment technologies and concepts, along with supportive policies, are necessary to increase stakeholder confidence and promote the integration of biomass gasification into the industry.
Article
Energy & Fuels
Yan Cao, Yu Bai, Jiang Du
Summary: By varying the temperature, steam/biomass ratio, and olivine content, this study investigated their impact on the product gas composition, tar content, and H2 yield. The results showed that gas and H2 yields were higher at higher temperatures, with an increase in CO and H2 contents. These findings suggest that steam-gasification with olivine can be a promising option for producing H2-rich syngas with less tar formation and lower CO2 emissions.
JOURNAL OF THE ENERGY INSTITUTE
(2021)
Review
Energy & Fuels
Praveen Kumar Ghodke, Amit Kumar Sharma, Arun Jayaseelan, K. P. Gopinath
Summary: The increasing global population growth, modernization, and industrialization have led to a significant rise in energy consumption, resulting in worsened climate conditions and greenhouse gas emissions. As a result, researchers are exploring eco-friendly and sustainable energy sources, with hydrogen (H2) emerging as a clean and carbon-free future energy carrier. Thermochemical routes and the use of lignocellulosic biomass have shown great potential for sustainable H2 production. This study provides an overview of advancements in gasification technologies, operating conditions, catalysts, and emerging technologies for improving H2-rich syngas production.
Article
Engineering, Chemical
Kristiano Prifti, Andrea Galeazzi, Flavio Manenti
Summary: Chemical recycling of plastic waste is a topic of high interest due to the inefficiency of waste management and the increasing production of polymers each year. Gasification, as a potential treatment, offers the synthesis of chemicals with advantages such as autothermal conditions and robustness to contaminants. This paper proposes a concept for gasification recycling, validated by experimental campaigns in a demo-scale plant, to estimate methanol synthesis yield. The economic performance of the plant at different scales is evaluated through net present value, internal rate of return, and payback time analysis.
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
(2023)
Article
Chemistry, Analytical
Ningbo Gao, Changxiang Chen, Aneta Magdziarz, Liheng Zhang, Cui Quan
Summary: In this study, a comprehensive model was developed using Aspen Plus software to simulate the pine sawdust gasification process. The accuracy of the model was validated through experimental data and computational experiments. Results showed that temperature had a significant effect on biomass gasification, while equivalence ratio and steam to biomass ratio influenced the generation of CO and CO2. The reflux operation of gas mixture promoted the quality of gaseous products by enhancing the generation of CO.
JOURNAL OF ANALYTICAL AND APPLIED PYROLYSIS
(2021)
Article
Thermodynamics
Isabelly P. Silva, Rafael M. A. Lima, Hortencia E. P. Santana, Gabriel F. Silva, Denise S. Ruzene, Daniel P. Silva
Summary: This study aimed to improve the prediction of gasification system behavior by developing and applying empirical correlations for tar, coal, and methane, resulting in models that better described experimental results compared to traditional models.
Article
Environmental Sciences
Yan Cao, Yu Bai, Jiang Du
Summary: Biomass was studied as a potential renewable energy source, and a model was developed to predict gasification characteristics and performances. The study found that gasification temperature significantly influenced gas composition and product yields, while equivalence ratio and steam/biomass ratio affected gasification characteristics.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Thermodynamics
Muhammad Awais, Muhammad Mubashar Omar, Anjum Munir, Wei li, Muhammad Ajmal, Sajjad Hussain, Syed Amjad Ahmad, Amjad Ali
Summary: This study evaluated the effects of biomass ratios on gasification efficiency, reactor thermal profile, and specific yield of syngas composition and tar contents. The results suggested that the mixture of sugarcane bagasse + coconut shells was a suitable feedstock mixture for gasification.
Article
Thermodynamics
Patrik Suhaj, Jakub Husar, Juma Haydary, Julius Annus
Summary: This study verified the effectiveness of a thermo-catalytic waste and biomass gasification unit, which consisted of a pyrolysis stage and a split product gasification stage. The use of a low-cost natural catalyst helped reduce the tar content and tar yield in the syngas.
Article
Engineering, Environmental
Oscar Condori, Francisco Garcia-Labiano, Luis F. de Diego, Maria T. Izquierdo, Alberto Abad, Juan Adanez
Summary: Biomass Chemical Looping Gasification (BCLG) is a promising technology for producing high quality syngas using lattice oxygen instead of gaseous oxygen, with a new method for controlling oxygen consumption leading to significant improvements in syngas efficiency. The oxygen-to-biomass ratio was found to be the main factor affecting syngas production efficiency in this study.
CHEMICAL ENGINEERING JOURNAL
(2021)
Article
Engineering, Environmental
Jiawei Wu, Juan Lv, Yousheng Lin, Wencheng Wu, Hongchang Xin, Jinkai Zhao, Yongzhi Ren, Mingfeng Wang, Enchen Jiang, Zhifeng Hu
Summary: This paper investigates the comprehensive influence of Mg on the performance of biomass chemical looping gasification (CLG). The results show that Mg can promote the CLG reaction and improve the gasification efficiency and gas yield. Furthermore, Mg addition can reduce the activation energy in the CLG process.
CHEMICAL ENGINEERING JOURNAL
(2022)
Article
Energy & Fuels
Jiawei Wu, Zhifeng Hu, Zhenwu Miao, Wencheng Wu, Enchen Jiang
Summary: The effect of adding calcium to rice husk in chemical looping gasification (CLG) was studied, revealing that calcium can significantly improve the performance of the gasification process, but may cause aggregation and sintering at high concentrations. (CH3COO)2Ca was found to be more beneficial than CaCl2 in enhancing gasification efficiency, with 6% (CH3COO)2Ca leading to optimal gasification efficiency and gas yield in the CLG process.
Article
Energy & Fuels
Kirti Mishra, Samarjeet Singh Siwal, Adesh Kumar Saini, Vijay Kumar Thakur
Summary: Gasification and pyrolysis are promising routes for biomass transformation into energy, especially in hydrogen production through biomass gasification. Energy constraints, growing demand, and economic and environmental issues are the main challenges. Researchers worldwide are investigating alternative energy sources with lower emissions and higher efficiency. Algal biomass is considered valuable for the third generation biofuel feedstock due to its rapid growth rate and lower cultivation area requirements. This review discusses the different types of biomass used for hydrogen production, such as cellulose, algal biomass, and waste-activated sludge, highlighting the thermochemical conversion methods and their prospects for enhancing hydrogen production.
Article
Energy & Fuels
Ivan Sampron, Luis F. de Diego, Francisco Garcia-Labiano, Maria T. Izquierdo
Summary: This study investigates the impact of different iron content oxygen carriers on the performance of the BCLG system. The research indicates that oxygen carriers with varying iron levels exhibit similar gasification parameters and tar production under changes in oxygen-to-fuel ratio and fuel reactor temperature.
Review
Energy & Fuels
Vahideh Angardi, Ali Ettehadi, Ozgun Yucel
Summary: Effective separation of water and oil is crucial for success in the petroleum industry. Understanding the emulsification process and its various factors is essential for cost-effective oil production. This comprehensive review highlights the importance of dispersion characterization and addresses flaws, gaps, and conflicts in current studies.
JOURNAL OF ENERGY RESOURCES TECHNOLOGY-TRANSACTIONS OF THE ASME
(2022)
Article
Chemistry, Applied
Ezgi Sahin, Onur Ertugrul, Ozgun Yucel
Summary: In this study, metal matrix composite hollow fiber membranes were produced using different particle sizes and sintering atmospheres, and their chemical compositions, electrical resistivity, pore properties, mechanical properties, and gas permeation were characterized. The results showed that using finer particle size resulted in higher bending strength and deflection.
JOURNAL OF POROUS MATERIALS
(2022)
Article
Dentistry, Oral Surgery & Medicine
Elif Ciftcioglu, Ozgun Yucel, Vasfiye Isik, Ali Keles, Mehmet Baybora Kayahan
Summary: This study evaluated the irrigation dynamics of syringe irrigation with different needle designs and ultrasonic irrigation in root canals with internal root resorption using a computational fluid dynamics model. The results showed that the insertion depth and irrigation model had an influence on shear stress and irrigant extension, with the irrigant extending more towards 2-5mm from the working length. Ultrasonic irrigation had the highest shear stress values regardless of the insertion depth.
Article
Biotechnology & Applied Microbiology
Fatih Tarlak, Ozgun Yucel, Kianoush Khosravi-Darani
Summary: The aim of this study was to develop a new mathematical modelling approach for predicting the growth kinetics of microorganisms in the field of predictive food microbiology. Through comparing different modelling approaches and optimization algorithms, it was found that the direct one-step method and the Bayesian optimization method provided the best fit results. The inverse dynamic modelling approach based on the Bayesian optimization algorithm showed satisfactory statistical indexes, indicating its reliable use in describing the growth behavior of Pseudomonas spp. in fish.
JOURNAL OF PURE AND APPLIED MICROBIOLOGY
(2022)
Article
Energy & Fuels
Havva Yaka, Mert Akin Insel, Ozgun Yucel, Hasan Sadikoglu
Summary: Higher heating value (HHV) is an important parameter for energy efficiency, and this study used machine learning algorithms to estimate HHV for different fuel types, with performance evaluation and data analysis.
Article
Thermodynamics
Ebubekir Siddik Aydin, Ozgun Yucel
Summary: The purpose of this paper is to analyze the performance of a scaled-up steam methane reformer (SMR) using solar energy as the heat source. A computational fluid dynamics (CFD) model is used to study the flow and heat transfer performance of the SMR under different operating conditions. The results indicate that the mass ratio of feed gas and temperature significantly affect the conversion ratio and hydrogen yield, with the highest methane conversion of 99.78% achieved at S/C = 4.0, 1000 K, and 506.5 kPa. This study also demonstrates the potential integration of concentrated solar power facilities with SMR reactors for hydrogen production.
ENERGY CONVERSION AND MANAGEMENT
(2023)
Article
Chemistry, Multidisciplinary
Ozgun Yucel, Ebubekir Siddik Aydin
Summary: In this paper, a dynamic kinetic model for sorption-enhanced steam reformers integrated with biomass gasifiers is proposed, which is used to study high purity hydrogen production. The kinetic model was validated and it was shown that biomass gasifiers can be combined with sorption-enhanced steam reformers for high purity H2 production.
JOURNAL OF THE INDIAN CHEMICAL SOCIETY
(2023)
Article
Food Science & Technology
Ozgun Yucel, Fatih Tarlak
Summary: The main aim of this study was to develop machine learning-based regression methods to predict bacterial population on beef, using decision tree regression, generalized additive model regression, and random forest regression. Temperature, salt concentration, water activity, and acidity were used as predictor variables. The random forest regression provided the best prediction capability and can be reliably used to describe the survival and growth behavior of microorganisms in beef.
Article
Chemistry, Applied
Meral Yildirim-Yalcin, Ozgun Yucel, Fatih Tarlak
Summary: The purpose of this study was to develop a tool for predicting the growth of total mesophilic bacteria in spinach using machine learning-based regression models. The performance of these models was compared to traditionally used models using statistical indices. The results showed that the machine learning-based regression models provided more accurate predictions, indicating their potential as an alternative in the predictive food microbiology field.
FOOD SCIENCE AND TECHNOLOGY INTERNATIONAL
(2023)
Article
Biology
Fatih Tarlak, Ozgun Yucel
Summary: Machine learning approaches, such as support vector regression, Gaussian process regression, decision tree regression, and random forest regression, were applied to estimate bacterial populations in food products. Among these algorithms, random forest regression showed the highest predictive capability for microbial survival and growth in food products.
Article
Chemistry, Multidisciplinary
Kubra Erdogar, Ozgun Yucel, Muhammed Enes Oruc
Summary: In this study, Mg-doped TiO2 nanofibers were successfully fabricated as electron transport material (ETM) layers. Mg doping widened the energy band gap and shifted the edge of the conduction band minimum upward, enhancing the open circuit voltage (V-oc) and short current density (J(sc)) of the solar cells. The electron-hole recombination rate was lowered, and separation efficiency increased with the use of Mg-doped nanofibers as an ETM layer, demonstrating the possibility of improving the efficiency of perovskite solar cells (PSCs).
Article
Food Science & Technology
Fatih Tarlak, Ozgun Yucel
Summary: The objective of this study was to develop a software for predicting the growth behaviors of Pseudomonas spp. in culture media. Data on 509 bacterial points of Pseudomonas spp. were collected, and temperature and pH were used as prediction variables. The Huang model provided better predictions compared to traditionally used models, indicating its reliability in describing the growth behaviors of Pseudomonas spp.
APPLIED FOOD BIOTECHNOLOGY
(2023)
Article
Engineering, Multidisciplinary
Ebubekir Siddik Aydin
Summary: This study proposes a mathematical model in spherical coordinates to analyze the weight and temperature changes in apricot fruit during freeze-drying. The model was solved using the orthogonal collocation method and estimated the physical properties and transport parameters using the Levenberg-Marquardt algorithm. The study investigated the effects of product radius, drying temperature, and shape on the primary drying stage length. It also examined the impact of freeze-drying on the product's color and total phenolic content.
JOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GAZI UNIVERSITY
(2022)
