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: 3Citation - Scopus: 4Comparison of Conventional and Machine Learning Models for Kinetic Modelling of Biomethane Production From Pretreated Tomato Plant Residues(Elsevier, 2025) Fidan, Berrak; Bodur, Fatma-Gamze; Oztep, Gulsh; Gungoren-Madenoglu, Tuelay; Baba, Alper; Kabay, NalanTomato plant residues (Solanum lycopersicum L.) lack sustainable applications as abundant lignocellulosic biomass after harvest. These residues can be utilized as substrates in anaerobic digestion for biomethane production, generating energy and reducing waste. The purpose of this study was to investigate the sustainable utilization of tomato plant residues for biomethane production at varying conditions and to model biological kinetics. The study aimed to evaluate the effects of varying substrate/inoculum ratios, sulfuric acid pretreatment concentrations, and yeast (Saccharomyces cerevisiae) addition on biogas and biomethane yields under mesophilic conditions (37 degrees C). Maximum biogas and biomethane yields in the studied range were obtained when the substrate/inoculum ratio was 3 (g substrate/g inoculum), the sulfuric acid concentration used for residue pretreatment was 2 %v/v, and the substrate/yeast ratio was 10 (g substrate/g yeast). The yeast ratio of 10 increased the cumulative biogas and biomethane production by 96.5 and 128.9%, respectively. Conventional models (Modified Gompertz, Cone, First-order, Logistic) and Machine Learning models (Support Vector Machine and Neural Network) were compared for biological kinetics. Machine Learning models were also observed to give good fitting results similar to conventional models. Results suggest that Machine Learning models (RMSE: 2.5833-12.0500) are reliable methods like conventional kinetic models (RMSE: 2.1796-13.4880) for forecasting biomethane production in anaerobic digestion processes and Machine Learning models can be applied without needing prior understanding of biomethane production kinetics.Article Citation - WoS: 3Citation - Scopus: 5Use of Geothermal Fluid for Agricultural Irrigation: Preliminary Studies in Balçova-Narlıdere Geothermal Field (turkey)(2021) Meriç, M. Kamil; Kukul, Yasemin Senem; Özçakal, Emrah; Barlas, N. Tuba; Çakıcı, Hakan; Jarma, Yakubu Abdullahi; Kabay, Nalan; Baba, AlperBalçova-Narlıdere Geothermal Field (BNGF) hosts the largest geothermal district heating system of Turkey and several geothermal wells used for district heating and thermal tourism activities. This study assesses the use of BNGF geothermal fluid for agricultural activities. The spent geothermal brine was treated using nanofiltration and reverse osmosis membranes on a pilot-scale membrane test system. The qualities of the product were evaluated in terms of agricultural irrigation integrated with the implemented innovative wireless sensor network. It is important to use geothermal fluid, which is consists of valuable minerals, for irrigation. But when using geothermal fluid in irrigation, the chemical composition of the water must be carefully monitored to prevent damage to the plants. Nevertheless, the first result shows that the use of geothermal fluid to irrigate is proving to be a promising and economically viable option in BNGF.Article Citation - WoS: 58Citation - Scopus: 76Utilization of Renewable Energy Sources in Desalination of Geothermal Water for Agriculture(Elsevier, 2021) Tomaszewska, Barbara; Gökçen Akkurt, Gülden; Kaczmarczyk, Michal; Bujakowski, Wieslaw; Keleş, Nazlı; Jarma, Yakubu A.; Baba, Alper; Bryjak, Marek; Kabay, NalanThe agricultural sector, which is highly dependent on water, is urged to build on improved water management practices and explore available options to match supply and demand because of the water scarcity risks and a sustainable and productive agri-food chain. Geothermal water is an energy source used to generate electricity and/or heat. After harnessing its energy, the remaining water can be used as a water source for irrigation following treatment because of its high ionic content. Geothermal fields are mostly located in rural areas where agricultural activities exist. This would be a good match to decrease the transportation cost of irrigation water. The energy demand of the desalination process for agriculture is higher, requiring additional post-treatment processes. Fossil fuels to fulfill the energy requirements are becoming expensive, and greenhouse gas emissions are harmful to the environment. Thus, efforts should be directed towards integrating renewable energy resources into desalination process. This work focuses on presenting a comprehensive review of geothermal water desalination which is powered by renewable energy and provides specific cases from Turkey and Poland. Furthermore, possible new generation renewable energy systems in desalination are introduced, considering their potential application in the desalination of geothermal water for agricultural irrigation.Article Citation - WoS: 83Citation - Scopus: 90Packed Bed Column Dynamic Study for Boron Removal From Geothermal Brine by a Chelating Fiber and Breakthrough Curve Analysis by Using Mathematical Models(Elsevier Ltd., 2018) Recepoğlu, Yaşar Kemal; Kabay, Nalan; Yılmaz İpek, İdil; Arda, Müşerref; Yüksel, Mithat; Yoshizuka, Kazuharu; Nishihama, SyouheiIn this study, the performance of N-methyl-D-glucamine (NMDG) type functional group attached a novel boron selective chelating fiber adsorbent, Chelest Fiber GRY-HW, was investigated for boron removal from geothermal brine containing 10–11 mg B/L through a packed bed column. The effect of feed flow rate (Space Velocity, SV) on breakthrough capacity of Chelest Fiber GRY-HW was studied using various SV values (15, 20 and 30 h−1). The effect of SV on breakthrough capacity was particularly apparent when SV was decreased from 30 to 15 h−1. Yoon–Nelson, Thomas and Modified Dose Response (MDR) models were applied to the experimental data to estimate the breakthrough curves and model parameters such as rate constants and breakthrough times. The obtained results showed that the breakthrough curves were better described by Modified Dose Response (MDR) model than those described by Yoon-Nelson and Thomas models in each case. Also, the model estimations for adsorption capacity obtained by MDR model agreed well with the experimental results.Article Citation - WoS: 17Citation - Scopus: 19Effect of Operational Conditions on Separation of Lithium From Geothermal Water by ?-Mno2 Using Ion Exchange–membrane Filtration Hybrid Process(Taylor and Francis Ltd., 2018) Recepoğlu, Yaşar Kemal; Kabay, Nalan; Yoshizuka, Kazuharu; Nishihama, Syouhei; Yılmaz İpek, İdil; Arda, Müşerref; Yüksel, MithatA hybrid system coupling ion exchange and ultrafiltration (UF) was employed to separate lithium from lithium-spiked geothermal water. The effect of process parameters such as adsorbent type, adsorbent dosage, permeate flow rate, and replacement speeds of fresh and saturated adsorbents have been evaluated to determine the efficiency of the hybrid system. According to the results obtained using λ-MnO2 derived from spinel-type lithium manganese dioxide, the optimal operating conditions to separate lithium from geothermal water were found with powdery λ-MnO2 with an adsorbent concentration of 1.5 g adsorbent/L solution, replacement rates of fresh and saturated adsorbents of 6.0 mL/min, and a permeate flow rate of 5.0 mL/min. The ion exchange–UF hybrid system providing an advantage to work with very fine particles easily can be considered as a favorable process for the separation of lithium from geothermal water.