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: 20Citation - Scopus: 18Optimization of the Integrated Orc and Carbon Capture Units Coupled To the Refinery Furnace With the Rsm-Bbd Method(Elsevier, 2022) Nazerifard, Reza; Mohammadpourfard, Mousa; Heris, Saeed ZeinaliTo recover waste heat and reduce the CO2 emissions into the atmosphere, an integrated system of organic Rankine cycle and post-combustion carbon capture unit coupled with furnaces of a refinery located in Tabriz, East Azerbaijan, Iran has been presented. To assess the performances of the proposed system, thermodynamic and economic analyses are performed. The organic Rankine cycle was optimized by selecting the suitable working fluid with optimal operating conditions among the primary considered ones through multi-objective optimization. Then, the response surface methodology combined with the Box-Behnken design was employed to evaluate the effects of decision variables and their interaction on the CO2 capture cost and attain the optimal conditions. The results indicate that the R-245fa is the best working fluids among the selected ones. According to the results, the flue gas inlet temperature into the absorber and lean loading are the terms of the model that have a significant impact on the output response. In the optimum setting of the decision variables, the CO2 capture cost equals 81.60 $/tCO2 and 81.90 $/tCO2 for ORC+CC and DCC+CC processes, respectively. Furthermore, due to the absence of a turbine in the DCC+CC system, its equivalent work is 28 % higher than the ORC+CC system. Also, the amine regeneration energy is responsible for 91.47 % and 86.15 % of the variable operating cost of the optimal ORC+CC and optimal DCC+CC, respectively.Article Citation - WoS: 7Citation - Scopus: 11Hydrophobic Deep Eutectic Solvent Effect on Acrylic Acid Separation From Aqueous Media by Using Reactive Extraction and Modeling With Response Surface Methodology(Taylor & Francis, 2022) Lalikoğlu, Melisa; Aşçı, Yavuz Selim; Sırma Tarım, Burcu; Yıldız, Mahmut; Arat, RefikHydrophobic deep eutectic solvents (HDES) are new-generation green solvents that have emerged in recent years. In this study, the efficiency of using HDES as a solvent in separating acrylic acid from its aqueous solution by reactive extraction method was investigated. As a solvent, HDES prepared with a mixture of TOPO and menthol has been used for the recovery of acrylic acid for the first time. Physical properties of HDES mixtures such as density, viscosity, and refractive index were determined. In reactive extraction experiments, TOPO, one of the two basic components in the solvent, was also employed as an extractant. With the help of response surface methodology based on Box-Behnken design, the effect of the parameters of amount of extractant (0.1–0.9 g), Menthol/TOPO molar ratio (2–4), and initial acid concentration (3–9%) on the distribution coefficient was investigated and the model equation was formed. The highest distribution coefficient (D = 7.8) was achieved with the molar ratio of Menthol/TOPO is 2. Upon examining all the results obtained, it was seen that more than 90% of acrylic acid could be extracted from the aqueous phase to the organic phase.Article Citation - WoS: 8Citation - Scopus: 12A Box–behnken Design (bbd) Optimization of the Photocatalytic Degradation of 2,4-Dichlorophenoxyacetic Acid (2,4-D) Using Tio2/H2o2(Desalination Publications, 2018) Doğdu Okçu, Gamze; Baldan Pakdil, Nazlı; Ökten, Hatice Eser; Yalçuk, Arda2,4-Dichlorophenoxyacetic acid (2,4-D), a chlorinated phenoxy-alkanoic herbicide, is used extensively in agriculture. This work investigates TiO2/H2O2 mediated UV photocatalytic degradation of 2,4-D in a laboratory-scale photoreactor. Three levels of Box–Behnken design technique, combined with response surface methodology (RSM), were used to design the experiments. Two kinds of multivariate experimental design (pH, TiO2, and 2,4-D concentration) and (pH, TiO2, and H2O2 concentrations) were employed to establish two quadratic models (Model 1 and Model 2), showing the functional relationship between degradation rate of 2,4-D and three independent experimental parameters. Model 1 predicted optimum values for pH, TiO2, and 2,4-D concentrations to be 5.7, 1.20 g L−1, and 32 mg L−1, respectively. Model 2 predicted optimum values for pH, TiO2, and initial H2O2 concentrations to be 4.94, 1.34 g L−1, and 161 mg L−1. Degradation rate of 2,4-D approached 78.10% for Model 1 and 83.63% for Model 2. For both models, similar results were obtained through optimizing variables by RSM and using single factorial batch reactor operation. Regression analysis showed good agreement between experimental results and predictive values for Models 1 and 2, with R2 values of 0.9958 and 0.9976, respectively.Article Citation - WoS: 22Citation - Scopus: 24Optimization of Extraction Conditions for Active Components in Equisetum Arvense Extract(Ars Docendi, 2013) Uslu, Mehmet Emin; Erdoğan, İpek; Bayraktar, Oğuz; Ateş, MehmetResponse surface methodology was applied to predict optimum conditions for equisetum arvense extraction. Central composite design was used to monitor the effects of temperature, stirring speed, ethanol percent, extraction time, solid-liquid ratio on dependent variables such as, extract yield percent, total phenol content, total antioxidant capacity, silicic acid amount. According to the mathematical models obtained from the analysis, the highest values for yield percent, total phenol content, total antioxidant capacity and silicic acid amount were found to be 18.67 %, 123 mg gallic acid gr-1 dry weight extract, 1608 μM TEAC mg-1 dry weight extract and 0.0049 mg silicic acid mg-1 dry weight extract, respectively. The plant extracts were analyzed with HPLC to determine the phenolic content and compositional differences of extracts obtained at different extraction conditions. Plant extracts were also analyzed for their cytotoxic and antimicrobial activities. The high total antioxidant capacity and total phenolic content resulted in an increased cytotoxic effect on fibroblast cells. Equisetum arvense extracts showed antimicrobial activity against Staphylococcus epidermidis and Escherichia coli bacteria, however showed no effect against Candida albicans. © 2013 University of Bucharest.Article Citation - WoS: 28Citation - Scopus: 32Optimization of the Process Parameters for the Utilization of Orange Peel To Produce Polygalacturonase by Solid-State Fermentation From an Aspergillus Sojae Mutant Strain(TUBITAK, 2012) Demir, Hande; Göğüş, Nihan; Tarı, Canan; Heerd, Doreen; Lahore, Marcelo FernandezThe effect of orange peel concentration, HCl concentration, incubation time and temperature, and inoculum size on the spore count and activity of polygalacturonase (PG) enzyme produced from Aspergillus sojae M3 by solidstate fermentation was screened using 2k factorial design. Orange peel and HCl concentrations and incubation time were significant factors affecting the responses. Optimum conditions favoring both PG and spore production from Aspergillus sojae M3 were determined as 2% orange peel and 50 mM HCl concentrations at 22 °C and 4.3 days of incubation. An overlay plot was constructed for use as a practical chart for production of high enzyme activity (>35.0 U/g substrate) and spore count (9.0 × 108 to 2.0 × 109 spore/mL) by superimposing the contours of PG activity and spore count responses. The accuracy and reliability of the constructed models on the responses was validated with the maximum calculated error rate between the predicted and actual activities at 14.1% and 22.4%, respectively. © TÜBİTAK.Article Citation - WoS: 103Citation - Scopus: 132Break-Even Analysis and Size Optimization of a Pv/Wind Hybrid Energy Conversion System With Battery Storage - a Case Study(Elsevier Ltd., 2009) Ekren, Orhan; Yetkin Ekren, Banu; Özerdem, BarışThis paper aims to show an optimum sizing procedure of autonomous PV/wind hybrid energy system with battery storage and a break-even analysis of this system and extension of transmission line. We use net present value (NPV) method for the comparison of autonomous hybrid energy system and extension of transmission line cases. The case study is completed for the satisfaction of the electricity consumption of global system for mobile communication base station (GSM) at Izmir Institute of Technology Campus Area, Urla, Izmir, Turkey. First, we optimize the PV/wind energy system using response surface methodology (RSM) which is a collection of statistical and mathematical methods relying on optimization of response surface with design parameters. As a result of RSM, the optimum PV area, wind turbine rotor swept area, and battery capacity are obtained as 3.95 m2, 29.4 m2, 31.92 kW h, respectively. These results led to $37,033.9 hybrid energy system cost. Second, break-even analysis is done to be able to decide the optimum distance where the hybrid energy system is more economical than the extension of the transmission line. The result shows that, if the distance between national electricity network and the GSM base station location where the hybrid energy system is assumed to be installed is at a distance more than 4817 m, the installation of hybrid energy system is more economical than the electricity network.Article Citation - WoS: 52Citation - Scopus: 62Solid-State Production of Polygalacturonase by Aspergillus Sojae Atcc 20235(Elsevier Ltd., 2007) Üstok, Fatma Işık; Tarı, Canan; Göğüş, NihanThe effect of solid substrates, inoculum and incubation time were studied using response surface methodology (RSM) for the production of polygalacturonase enzyme and spores in solid-state fermentation using Aspergillus sojae ATCC 20235. Two-stage optimization procedure was applied using D-optimal and face-centered central composite design (CCD). Crushed maize was chosen as the solid substrate, for maximum polygalacturonase enzyme activity based on D-optimal design. Inoculum and incubation time were determined to have significant effect on enzyme activity and total spore (p < 0.01) based on the results of CCD. A second order polynomial regression model was fitted and was found adequate for individual responses. All two models provided an adequate R2 of 0.9963 (polygalacturonase) and 0.9806 (spores) (p < 0.001). The individual optimum values of inoculum and incubation time for maximum production of the two responses were 2 × 107 total spores and 5-6 days. The predicted enzyme activity (30.55 U/g solid) and spore count (2.23 × 107 spore/ml) were very close to the actual values obtained experimentally (29.093 U/g solid and 2.31 × 107 spore/ml, respectively). The overall optimum region considering the two responses together, overlayed with the individual optima. Solid-state fermentation provided 48% more polygalacturonase activity compared to submerged fermentation under individually optimized conditions.Article Citation - WoS: 61Citation - Scopus: 75Optimization of Biomass, Pellet Size and Polygalacturonase Production by Aspergillus Sojae Atcc 20235 Using Response Surface Methodology(Elsevier Ltd., 2007) Tarı, Canan; Göğüş, Nihan; Tokatlı, FigenA two-step optimization procedure using central composite design with four factors (concentrations of maltrin and corn steep liquor (CSL), agitation speed and inoculation ratio) was used in order to investigate the effect of these parameters on the polygalacturonase (PG) enzyme activity, mycelia growth (biomass) and morphology (pellet size) of Aspergillus sojae ATCC 20235. According to the results of response surface methodology (RSM), initial concentrations of maltrin and CSL and agitation speed were significant (p < 0.05) on both PG enzyme production and biomass formation. As a result of this optimization, maximum PG activity (13.5 U/ml) was achievable at high maltrin (120 g/l), at low CSL (0 g/l), high agitation speed (350 rpm) and high inoculation ratio (2 × 107 total spore). Similarly, maximum biomass (26 g/l) could be obtained under the same conditions with only the difference for higher level of CSL requirement. The diameter of pellets in all optimization experiments ranged between 0.05 and 0.76 cm. The second optimization step improved the PG activity by 74% and the biomass by 40%.Article Citation - WoS: 49Citation - Scopus: 64Optimization of Osmotic Dehydration of Diced Green Peppers by Response Surface Methodology(Academic Press Inc., 2008) Özdemir, Murat; Özen, Fatma Banu; Dock, Lisa Lotte; Floros, JohnOsmotic dehydration of diced green peppers was optimized with respect to temperature (20-40 °C), time (15-600 min), salt (0-10 g/100 g) and sorbitol (0-10 g/100 g) concentrations through response surface methodology. Water loss (WL), solids gain (SG), salt uptake (SA) and sorbitol uptake (SO) were the responses in a 24 central composite rotatable design. Models developed for all responses were significant (p ≤ 0.01) without significant lack of fit. Results suggested that optimum processing conditions of 5.5 g salt/100 g and 6 g sorbitol/100 g at 30 °C after 240 min would result in WL = 23.3%, SG = 4.1%, SA = 8 g/100 g dry pepper and SO = 2.4 g/100 ml extract. © 2008 Swiss Society of Food Science and Technology.Article Citation - WoS: 29Citation - Scopus: 32Optimization of Lactic Acid Production From Whey by L Casei Nrrl B-441 Immobilized in Chitosan Stabilized Ca-Alginate Beads(John Wiley and Sons Inc., 2005) Göksungur, Mehmet Yekta; Gündüz, Meltem; Harsa, Hayriye ŞebnemThe production of lactic acid from whey by Lactobacillus casei NRRL B-441 immobilized in chitosan-stabilized Ca-alginate beads was investigated. Higher lactic acid production and lower cell leakage were observed with alginate-chitosan beads compared with Ca-alginate beads. The highest lactic acid concentration (131.2 g dm-3) was obtained with cells entrapped in 1.3-1.7 mm alginate-chitosan beads prepared from 2% (w/v) Na-alginate. The gel beads produced lactic acid for five consecutive batch fermentations without marked activity loss and deformation. Response surface methodology was used to investigate the effects of three fermentation parameters (initial sugar, yeast extract and calcium carbonate concentrations) on the concentration of lactic acid. Results of the statistical analysis showed that the fit of the model was good in all cases. Initial sugar, yeast extract and calcium carbonate concentrations had a strong linear effect on lactic acid production. The maximum lactic acid concentration of 136.3 g dm-3 was obtained at the optimum concentrations of process variables (initial sugar 147.35 g dm-3, yeast extract 28.81 g dm-3, CaCO3 97.55 g dm-3). These values were obtained by fitting of the experimental data to the model equation. The response surface methodology was found to be useful in optimizing and determining the interactions among process variables in lactic acid production using alginate-chitosan-immobilized cells.