Master Degree / Yüksek Lisans Tezleri
Permanent URI for this collectionhttps://hdl.handle.net/11147/3008
Browse
5 results
Search Results
Master Thesis Valorization of Biomass for Fuel and Chemicals Production(01. Izmir Institute of Technology, 2023) Yüksel Özşen, Aslı; Yüksel Özşen, Aslı; 03.02. Department of Chemical Engineering; 03. Faculty of Engineering; 01. Izmir Institute of TechnologyRapidly increasing global energy demand resulting from the growing population and worldwide development increased consumption of limited fossil fuel usage that causes severe environmental deterioration by CO2 emission have sparked interest in finding green, renewable, and sustainable alternative sources for energy. Bio-oil, derived by several biomass via liquefaction, is a promising candidate to replace fossil fuels. Turkey is a country, 27% of which is covered with forests (mostly oak trees). Therefore, it has great potential for cheap lignocellulosic feedstock forest residues from industrial applications and harvesting. In the present study, the thermal liquefaction of oak wood particles (OWP) was performed using various solvents besides water, such as ethanol, 1-butanol, and 1,4-dioxane. The experiments were carried out in a batch reactor for 1 and 2 h residence time at different temperatures (210oC, 240oC, and 270oC). Bio-oil samples obtained at best reaction temperature, 270oC, optimum residence time, 1 h, were analyzed with TGA, CHNS elemental analyzer, FTIR, and GC-MS. Based on energy recovery calculations, the enhancement of pristine OWP's energy efficiency depends on bio-oil yield, and quality was confirmed for all solvent types. 1,4-dioxane showed the best performance in yielding the maximum bio-oil with 51.8%. The higher heating values of the bio-oils ranged from 22.1 to 35 MJ/kg. Phenolic groups were the predominant components of bio-oil produced from OWP, while intensity of alcohols, ketones, and acids varied based on using solvents.Master Thesis Energy Interaction of Vertical Axis Wind Turbines Working in Pairs(01. Izmir Institute of Technology, 2023) Gencer, Özgür; Karadeniz, Ziya Hatan; 01. Izmir Institute of TechnologyThe position of wind turbines relative to each other is important in terms of the performance of the turbines. The experiments and CFD studies in the literature have shown that Vertical Axis Wind Turbines (VAWT's) have a higher energy production per unit of land used than Horizontal Axis Wind Turbines (HAWT's) and it is found that there is a performance improvement of the VAWT's when they are operated in pairs. In this thesis, CFD simulations of the H-type VAWT's working in pairs have been perpormed to investigate the energy interaction of the turbines. A standalone one-bladed VAWT was modelled based on the previous studies in the literature for the validation of the CFD methodology. Simulation parameters and simulation settings are compared with the reference study in the mesh independency analysis for four different mesh settings resulting in a deviation of up to %14, and in the time step sensitivity analysis for two different time steps corresponding to 0.25 and 0.5 degrees of azimuthal angle increments resulting in a deviation of up to %15. 1, 2, and 3 bladed stand-alone turbines are investigated to reveal the effect of the inter-turbine blade interaction on the energy output. A pair of co-rotating turbines configuration is analyzed at various Tip Speed Ratios (TSR) (1.7, 2.2, 3.3, 4.4) and at compared with the standalone VAWT for each configuration. The results of CFD simulations show that adding blades to the standalone VAWT results in a more stable moment coefficient, but it also leads to a decrease in the power coefficient at high TSRs. The co-located turbines cause flow disruption for the VAWTs working in pairs operating at unstable TSRs (<2), resulting in a performance reduction of up 13.5%. Increasing the distance between turbines minimize the negative effect of disruption and improves turbine performance. As the TSR increases to a stable operation, the existence of the second turbine affects the energy output of both turbines positively, with the highest performance increase of 46% observed at TSR 3.3 when the turbines were placed closest to each other at 3D. The positive effect of the neighbouring turbine decreases as the distance between the turbines increase and the impact of distance between turbines on performance vanishes for the dewnstream turbine at 8D.Master Thesis Thermo-Catalytic Pyrolysis of Unrecycled Plastic Waste in a Lab-Scale Experimental Set-Up: Determination of Optimal Operating Conditions(01. Izmir Institute of Technology, 2022) Çağlar, Başar; Yıldız, Günay; Çağlar, Başar; 03.06. Department of Energy Systems Engineering; 03. Faculty of Engineering; 01. Izmir Institute of Technology370 million tons of polymers are produced worldwide annually (with an annual growth of 4%), of which ca. 16% are produced in the European Union (EU). By 2030, it is estimated that over 600 million tons of plastics will be produced. Plastic waste is a problem and will be severe day by day for the environment. This problem can easily switch to advantage by a carbon-neutral process: pyrolysis. This study analyzed and compared reported literature data with the experimental findings obtained in a continuously operated bench-scale pyrolysis reactor. The optimal conditions of the feedstocks' N2 flow rate, feed intake, and mixing ratio for maximizing liquid production were estimated for pyrolysis by Taguchi’s orthogonal array design. Optimized process parameters were used for the pyrolysis of fresh and waste counterparts of HDPE, LDPE, PP, and a defined mixture of those (25:25:50 wt.%) at 450°C. The tail gases of mixed fresh and waste POs were also examined for energy autonomy of pyrolysis. Fresh plastics yielded more liquid compared to waste plastics. Blending polyethylenes with PP improved the conversion efficiency and favored the formation of gasoline-range hydrocarbons while limiting the wax formation. The total energy potential of produced NCGs, mainly composed of C3 hydrocarbons, was found to be sufficient; the energy demand for endothermic bond breaking during pyrolysis was met in a range of 139 to 464% for various plastic types tested.Master Thesis Short-Term Wind Speed and Power Forecasting: a Comprehensive Case Study for Three Operational Wind Farms(01. Izmir Institute of Technology, 2022) Bingöl, Ferhat; Bingöl, Ferhat; 03.06. Department of Energy Systems Engineering; 03. Faculty of Engineering; 01. Izmir Institute of TechnologyWind energy is gradually growing with the increasing energy demand. However, the rising wind power penetration into modern grids could seriously affect the safe operation of power systems and power quality due to the intermittence and randomness of wind characteristics. Several effective ways could be considered to mitigate these issues: a robust power grid, energy storage, and wind power forecasting. Optimal integration of wind energy into power systems calls for high-quality wind power predictions. This research focuses on the short-term forecast of wind speed and power generation. Firstly, wind speed forecasting is studied. A case study is performed to analyze the forecasting performance of five approaches: the multivariate Facebook Prophet, seasonal autoregressive integrated with moving average (SARIMA), SARIMA with exogenous variable (SARIMAX), gated recurrent units (GRU) and long short-term memory (LSTM). The performance indicators are applied to verify the effectiveness of models, which are R-square (R2), mean square error (MSE), root mean square error (RMSE), and mean absolute error (MAE). The predictions obtained by the LSTM model almost coincide with the real-time wind speed, which is also supported by the performance indicators, which indicate that the LSTM model outperforms the other methods for the real-time dataset of IZTECH meteorological mast. The second part of the study is to forecast the wind power generation using the LSTM model and the wind speed forecasts and wind speed power curve of wind turbines in the wind farms. The proposed model is validated using the real-time wind power generation data from the EPIAS Transparency Platform. Due to the unavailable meteorological dataset, an ERA5 dataset of the location is used to predict wind speed and power generation. Also, each wind farm's daily forecasts are obtained to investigate the results for Day-ahead Market. The results indicate that using the LSTM model with the ERA5 dataset could give better forecasts than wind farms’ own forecasts. Additionally, it is understood that if the SCADA data could be obtained, the forecasting performance might be increased.Master Thesis Experimental Investigation and Computational Fluid Dynamics (cfd) Analysis of Geothermal Sourced Hot Air Drying(Izmir Institute of Technology, 2022) Helvacı, Hüseyin Utku; Gökçen Akkurt, Gülden; Gökçen Akkurt, Gülden; Helvacı, Hüseyin Utku; 01. Izmir Institute of Technology; 03.06. Department of Energy Systems Engineering; 03. Faculty of EngineeringDrying is one of the oldest methods used to increase the product's shelf life and reduce transportation costs, consisting of heat and mass transfer between the product and the surrounding environment. One of the most common drying methods is hot air drying. The most critical parameters in hot air drying processes are drying air temperature, air velocity and relative humidity. Renewable energy resources can be used as heat/electricity in drying processes. Geothermal energy resources are highly suitable for hot air drying with their temperature compatibility and reliability. The geothermal resources in Turkey have a high potential for hot air drying. This Thesis examines tomato slices' quality parameters at different drying air temperatures and velocities. A cabinet-type geothermal sourced hot air dryer is installed in the Yenikale Heat Center of the Balcova-Narlidere Geothermal District Heating System in Izmir-Turkiye. Drying experiments are carried out at 40-60-80°C air temperatures and 0.5-1.5 m/s air velocities to examine their effects on drying kinetics and quality of dried tomatoes, such as pH, color, and moisture. With the help of the data obtained, drying time, drying rate, moisture rate, and effective diffusion coefficients are determined, and dimensionless moisture rate is modeled using thin layer models. Also, energy and exergy analyses are made for each experiment. Finally, experimental and simulation results are compared by using CFD to perform experimental design. The simulations created by using CFD are obtained in a much shorter time and more accurately since all materials used for the experiment are idealized.