Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
Permanent URI for this collectionhttps://hdl.handle.net/11147/7148
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Article Citation - WoS: 7Citation - Scopus: 10Community Co-Creation Through Knowledge (co)production: the Engagement of Universities in Promoting Rural Revitalization in China(Pergamon-elsevier Science Ltd, 2024) Lang, Wei; Gkartzios, Menelaos; Yan, Jialing; Chen, Tingting; Tan, ShuyingThe global discourse on the role of universities in rural revitalization has gained significant attention. The proposition is to leverage university expertise and resources to support rural development, including knowledge (co)production, community co-creation, and volunteerism - a practice that essentially bridges local actors and their knowledge with external actors and their knowledge. As advocated by UN Habitat III, the collaboration between universities and rural communities is an initiative exemplified by China's "Jointly Create a Beautiful Environment and a Happy Life" to enhance the built environment. This study aims to comprehensively investigate the implementation and outcomes of the "Rural Four Small Gardens" projects, which serve as a vital community development initiative within the Hongtang Village in Fengqing County, Yunnan Province, China. The research discusses those processes, observing opportunities for knowledge (co)production across diverse stakeholders in line with neo-endogenous rural development thinking. By exploring the co-creation approach employed in these projects, we seek to unravel how academia and local communities collaborate to address multifaceted challenges in rural areas. We argue that: 1) The engagement of rural communities through collaborative planning workshops serves as the fundamental cornerstone for university paired-up assistance; 2) the co-creation model for improving rural settlement necessitates the collective efforts of multiple stakeholders; 3) university faculty and students play pivotal roles during the process of service learning, practice research, and knowledge (co)production with villagers; and 4) Knowledge (co)production entails a dynamic process of coconstruction, co-governance, and resource sharing, exemplified by co-creation initiatives of home development, farmyard enhancement, and infrastructure projects. The research offers insights for global universities seeking to engage in similar paired-up assistance initiatives, underscores the significance of co-creation in rural development, and enlightens planning education in practice and service.Article Citation - WoS: 16Citation - Scopus: 17Integrating Experimental and Machine Learning Approaches for Predictive Analysis of Photocatalytic Hydrogen Evolution Using Cu/G-c3n4(Pergamon-elsevier Science Ltd, 2024) Arabaci, Bahriyenur; Bakir, Rezan; Orak, Ceren; Yuksel, AsliThis study addresses environmental issues like global warming and wastewater generation by exploring waste-toenergy strategies that produce renewable hydrogen and treat wastewater simultaneously. Cu/g-C3N4 is used to evolve hydrogen from sucrose solution and the impact of reaction parameters such as pH (3, 5, and 7), Cu loading (5, 10, and 15 wt%), catalyst amount (0.1, 0.2, and 0.3 g/L), and oxidant (H2O2) concentration (0, 10, and 20 mM) on the evolved hydrogen amount is examined. Characterization study confirmed successful incorporation of Cu without significantly altering g-C3N4 properties. The highest hydrogen production (1979.25 mu mol g- 1 & sdot;h- 1) is achieved with 0.3 g/L catalyst, 20 mM H2O2, 5 % Cu loading, and pH 3. The experimental study concludes that Cu/g-C3N4 is an effective photocatalyst for renewable hydrogen production. In addition to the experimental investigations, various machine learning (ML) models, including Random Forest, Decision Tree, XGBoost, among others, are employed to analyze the impact of reaction parameters and forecast the quantities of produced hydrogen. Alongside these individual models, an ensemble approach is proposed and utilized. The R2 values of these ML models ranged from 0.9454 to 0.9955, indicating strong predictive performance across the board. Additionally, these models exhibited low error rates, further confirming their reliability in predicting hydrogen evolution.Article Citation - WoS: 7Citation - Scopus: 7Hydrogen Production From Energetic Poplar and Waste Sludge by Electrohydrogenesis Using Membraneless Microbial Electrolysis Cells(Pergamon-elsevier Science Ltd, 2024) Goren, A. Yagmur; Kilicaslan, A. Faruk; Dincer, Ibrahim; Khalvati, AliMembraneless microbial electrolysis cells (MECs) are potentially considered to produce biohydrogen (bioH2) in a green manner and simultaneously minimize agricultural and wastewater facility wastes. However, effective, sustainable, and cost-effective system configuration and improvement of operating variables, working at ambient conditions, are needed to make the MEC a sustainable process. Therefore, this study investigates the bioH2 production from poplar leaves and anaerobic sludge mixture by incorporating nanomaterials comprising Al2O3, MgO, and Fe2O3 metal oxides at various dosages. Moreover, the effects of applied cell voltage (0.5-1.5 V) and inoculum amount (20-40 mL) on bioH2 production and organic matter removal performance are evaluated. The maximum bioH2 production value is 417 mL at an applied voltage of 1.5 V with a chemical oxygen demand (COD) removal efficiency of 37.6 % under operating times of 5 min using 40 ml of inoculum. The bioH2 production of the MEC system is reduced with the decrease in inoculum amount. The highest bioH2 production of 828 mL is obtained at improved conditions in the presence of 1 g of Fe2O3 metal oxide. Overall, this study provides the potentiality of simultaneous waste minimization and bioH2 production under ambient conditions that highlight the waste-to-energy pathway for membraneless and green bioelectrochemical process.Article Citation - WoS: 3Citation - Scopus: 2Environmental Assessment of the Hydrogen Combustion Process in Non-Premixed Gas Turbines(Pergamon-elsevier Science Ltd, 2024) Sarialtin, Huseyin; Korucu, AyseUsing cleaner fuels, such as hydrogen and developing more efficient combustion technologies are crucial in reducing NOx and N2O emissions, contributing to environmental concerns like air pollution and global warming. However, studies focusing on gas turbines using H-2 as fuel often overlook the emissions resulting from H-2 combustion. Given that gas turbines play a significant role in electricity generation globally, even minor improvements in their efficiency can lead to substantial cumulative benefits. Therefore, this study aims to address this gap by conducting a comprehensive environmental assessment using the life cycle assessment (LCA) methodology. By evaluating the environmental impacts of emissions from the combustion process of a conventional gas turbine and comparing them with potential emissions from H(2)combustion, this research seeks to provide valuable insights into the overall environmental performance of these technologies and contribute to sustainable energy development efforts. There have already been several LCA studies on H-2 production. In this study, we have identified the potential emissions and environmental impacts of H-2 combustion in gas turbines and compared them with the impact values of H-2 production regarding reference studies. The result shows that emissions during combustion should be considered in the identified life cycle impact categories.Article Citation - WoS: 4Citation - Scopus: 5A Smart Building Energy Management Incorporating Clustering-Based Tariffs in the Presence of Domestic Solar Energy, Battery, and Electric Vehicle(Pergamon-elsevier Science Ltd, 2024) Alilou, Masoud; Mohammadi-ivatloo, Behnam; Mohammadpourfard, MousaSmart buildings play a crucial role in optimizing energy management within the power network. As end-users of the power network, they have the ability to not only reduce economic costs for householders but also modify the technical indices of the power network. To promote efficient device management in smart homes (SH), demand response programs are recommended for consumers. This research investigates the application of clusteringbased electricity pricing strategy aimed at effectively managing the energy devices of a residential smart home. The utilized method categorizes the electricity tariff into five rates according to the clustering of the realtime pricing program. Ward's clustering method is utilized to cluster and determine new electricity tariffs. The primary goal of the energy management program is to minimize the building's energy cost, which is accomplished through the utilization of the multi-verse optimizer. The smart home consists of essential and manageable appliances, a photovoltaic panel (PV), a sodium-sulfur (NaS) battery, and an electric vehicle (EV). The initial parameters of the PV and EV are modeled stochastically by their probability distribution functions and calculated using the Latin hypercube sampling algorithm. The smart building's performance is assessed by taking into account various demand response programs. The numerical results present that the application of the clusteringbased management method has resulted in a significant reduction of 23-43 % in the electricity cost of smart homes. Additionally, the smart home exhibits a more linear consumption pattern when considering the electricity tariffs based on the clustering approach.Article Investigation of the Experimental and Theoretical Band Gap of Pbvo3cl for Use in Energy Conversion Devices(Pergamon-elsevier Science Ltd, 2024) Harmanli, Ipek; Aytekin, Ahmet; Gol, Emre Yusuf; Eanes, Mehtap; Karabudak, EnginThe major goal of the research described in this paper is to investigate the structure of electronic band and band gap of the novel semiconductor lead (II) trioxovanadate (V) chloride (PbVO3Cl). 3 Cl). Depending on both experimental and theoretical (computational) results, the utility of PbVO3Cl 3 Cl as a semiconductor in solar fuel devices was discussed. The optical band gap was determined experimentally by applying Tauc Plot method to the absorption spectra of PbVO3Cl. 3 Cl. Additionally, computational approaches for the structure prediction of PbVO3Cl 3 Cl have been studied. The electronic band structures were examined theoretically using local density (LDA), generalized gradient (GGA), and hybrid (HSE06) approximations. PbVO3Cl, 3 Cl, which has an optical band gap of about 2.2 eV, has been shown to have promising photocatalytic properties. As a result of these approximations, the transition type of PbVO3Cl 3 Cl was determined as indirect. We also discussed the potential future application of PbVO3Cl 3 Cl in Lewis solar fuel devices as a combination of the photoanode and Si photocathode. And the solar efficiency of the PbVO3Cl-Si 3 Cl-Si double-layer semiconductor system was calculated. Further experimental proofs can be important.Article Citation - WoS: 8Citation - Scopus: 8Analytical Performance Characteristics of Micro-Structured Surfaces for Laser-Induced Breakdown Spectroscopic Analysis of Liquids(Pergamon-elsevier Science Ltd, 2024) Kaplan, Dilara; Yaman, Iayda; Yalcin, SerifeWe have previously shown the design and fabrication studies of 3-D micro -structured surfaces, to be used as a sample loading substrate for liquids analysis via dried -droplet LIBS methodology. Among the three designs, the substrate structured with 20-mu m diameter cylinders, CYL-20, has shown the highest signal enhancement for the elements, Cu, Cr, and Pb, compared to 5-mu m diameter cylinders, CYL-5, and 5-mu m side -length triangular prisms, TAP -5, surfaces. Here, in this study, the analytical performance characteristics (LOD, accuracy, and precision) of these micro -structured Si -wafer surfaces are presented in comparison with unstructured surfaces. The drieddroplet residue of aqueous heavy metal solutions of Pb, Cr, and Cu were analyzed at their respective emission wavelengths under optimized experimental conditions. The results obtained from CYL-20 structured surfaces in comparison to 300 nm thin-film coated surfaces indicate up to 17, 11, and 7 -fold increases in LIBS signal strength for Cu, Cr, and Pb, respectively. The experiments were performed using single and multi -element standards, and certified reference water samples. Sub-picogram absolute detection limits, 0.8 pg Pb, 0.5 pg Cu, and 0.45 pg Cr were obtained from the analysis of 500 nanoliters standard solutions, via dried -droplet methodology. Results with 70-75% accuracy and 95% precision were obtained from the repeated measurements. Though the results are promising, more extensive fabrication and application studies are required to find optimum structures of different sizes and shapes.Article Homogenization of 3d Laminated Micro-Structures Including Bending Effects(Pergamon-elsevier Science Ltd, 2024) Oezdemir, IzzetIn this paper, a homogenization method which captures intrinsic size effect associated with fiber diameter is revisited and adapted for three-dimensional laminated micro -structures. Based on a unit-cell composed of matrix and reinforcement layers, enhanced deformation gradients varying through the thickness, are introduced with the aid of an additional kinematic variable reflecting the difference between the homogenized and constituent level deformation gradients. In the current work, as opposed to the original formulation, higher order terms are preserved for both phases and therefore bending stiffness of the matrix phase can be taken into account as well. The formulation is implemented within the commercial finite element solver Abaqus through user element (UEL) subroutine considering a finite strain hyperelastic response for the reinforcement layers and a von Mises type hyper-elastoplastic one for the matrix phase. Explicitly discretized unit-cells with varying reinforcement phase fraction, layer inclination angle and layer thicknesses are used as references to assess the predictive capabilities of the homogenized model and the significance of bending stiffness of the phases. Similarly, explicitly discretized model of a beam type structure with a crossed lamellar micro -structure is used to evaluate the performance of the homogenized model under more general, non-periodic boundary conditions. The findings of both cases support the effectiveness of the homogenized model.