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Öğe Numerical and experimental investigation of solar chimney power plant system performance(Taylor & Francis, 2020-03-15) Karakaya, Hakan; Durmuş, Aydın; Avcı, Ali SerkanA prototype of a solar chimney power plant was performed by modeling in this study. The performed prototype was experimentally confirmed. Temperature, velocity, and radiation values were measured to actualize the confirmation. Experimental data that were obtained to determine the performance of solar chimney whose prototype was actualized by the help of measured values were computationally analyzed. The geometry of a solar chimney in the analysis was bidimensionally (2D) drawn on an axis of symmetry. The numerical simulation was analyzed with computational fluid dynamics (CFD) method. Since analysis results show that there is turbulent flow in system (RNG), k-ɛ turbulence model was used. Continuity, momentum, and energy equations were applied to the solar chimney system via the finite volume method. Moreover, DO (discrete ordinates) model was inserted in analysis to evaluate the radiation effect in the collector area. In addition to all these, correlation results between SPSS 17 statistics program and data obtained were evaluated. Finally, with reference to the comparison between numerical and experimental results, data obtained and numerical data are close to each other; the prototype is applicable to the real systems.Öğe Analysis of sunshine hours and global solar radiation for Mardin of Turkey(ISITES, 2015) Karakaya, Hakan; Kallioğlu, Mehmet Ali; Avcı, Ali SerkanHaving a strategic area, the energy industry has a critical importance in development policy of a country. Demands of renewable energy have increased in recent years due to energy price, global warming and climatic change. Therefore, the concerns about solar energy, one of the most important clean energy sources, have risen in the last decades. In this study, the empirical solar correlations developed in Turkey and some other countries were investigated for the province of Mardin, Turkey. The compatibility of solar radiation models inspected in terms of statistics was tested by determining the nearest model according to measured data. In addition to climate data which is specific to this region, prediction of Angstroms model was developed to estimate global solar radiation in Mardin. These models, since the mathematical models with the highest compatibility represent the measured data statistically well, it is understood that it can easily be used for daily global solar radiation on horizontal surfaces. The data of the model were obtained from Solar Energy Potential Atlas (GEPA) of Electrical Power Resources Survey Administration (EIE). Angstrom-type model parameters were developed to forecast sunshine average and to compute empirical coefficients for Mardin. Monthly predicted global solar radiation mean values were compared with observed values using statistical parameter coefficient of regression analysis (R²), mean bias error (MBE), root mean square error (RMSE), mean percentage error (MPE), mean absolute percentage error (MAPE), t-statistic (tsat) and the percent error (e) method developed in order to test the compliance of the models. The best developing ideal model was found to be quadric H/H0=-1,3049 (S/S0 ) 2 +2,2791(S/S0)-0,4143 and R 2 0,9492 determined in terms of utilizing the solar radiation potential in Mardin, TurkeyÖğe Investigation of the usability of wind energy potential in Batman(Batman Üniversitesi, 2018) Karakaya, Hakan; Avcı, Ali Serkan; Kallioğlu, Mehmet Ali; Ercan, UmutÖğe Examination of energy capacities of hydroelectric power plants in Batman(Batman Üniversitesi, 2018) Karakaya, Hakan; Avcı, Ali Serkan; Kallioğlu, Mehmet Ali; Avcı, Ali Serkan; Durmuş, AydınÖğe Determination of optimal insulatıon thickness in cooling for Diyarbakır city(Dicle University, 2016) Kallioğlu, Mehmet Ali; Avcı, Ali Serkan; Ercan, UmutIncrease in population and rapid technological progress as the similar energy sources are declining day by day. This situation affects the economic development negatively, which countries are energy dependent outside. Therefore, these countries, including Turkey, determine their energy strategies, productivityoriented policies need to be considered. The savings obtained by insulation will be an additional benefit to the users and therefore to the economy of the country. It is possible to reduce the amount of fuel used and determine the energy to be used as the result of determining the optimal efficiently point where the cost is reduced the most while the cooling is obtained while the cooling is being insulated. The cost of insulation while cooling is minimized, as well as maximum efficiency, reduction of the energy consumption used in the determination of the optimum point can be obtained. In this study, using the life-cycle cost analysis (LCCA), the optimum insulation thickness, annual energy saving and pay-back period analysis were carried out in area cooling at 22 C 0 for Diyarbakır province. Diyarbakir for extruded polystyrene (XPS) used when the optimum thickness of 0.0277 (m), 63.66% annual gain, payback period of 3.13 (years). Expanded polystyrene (EPS) in optimum thickness 0,037 (m), 47.10% annual gain, payback period of 2,069 (years) where such parameters.Öğe Environmental impact of optimum insulation thickness for Kayseri province case(Erciyes Üniversitesi, 2017) Karakaya, Hakan; Kallioğlu, Mehmet Ali; Ercan, Umut; Avcı, Ali Serkan; Genç, ÖmerÖğe Estimating Kilis regions solar radiation by location based statistical models(Kilis 7 Aralık Üniversitesi, 2016) Karakaya, Hakan; Kallioğlu, Mehmet Ali; Ercan, Umut; Avcı, Ali SerkanÖğe Calculating energy-induced carbon footprint: Batman University case(European Journal of Technique (EJT), 2019-06-30) Karakaya, Hakan; Avcı, Ali SerkanThis study determined the energy-induced carbon footprint arising from energy consumption in Batman University. It is important for universities to do acts toward control the greenhouse gas emission based on energy consumption while performing activities. Therefore, there is need to know the components of carbon footprint. Electric energy, natural gas energy, and various oils as the energy consumption components in these institutions were scrutinized. Petrol, diesel fuel, and fuel oil were utilized as types of oil. It is seen that the component which considerably specifies the carbon footprint is 3.161.238 ton CO2 value and electric energy. Natural gas and fuel oil use contribute to carbon footprint at high ratios in winter months especially arising from heating. 361 ton CO2 based on natural gas use and 1.256.445 ton CO2 based on fuel oil use are other components which specify the carbon footprint. As a result, the primary carbon footprint for Batman University was determined by IPCC Methodology and Tier 1 approach; it is 3.162.855,445 ton CO2 for 2017Öğe Creating the optimum panel inclination angles of the southern aegean region(International Journal of Advances in Science Engineering and Technology, 2018-01) Karakaya, Hakan; Ercan, Umut; Kallioğlu, Mehmet Ali; Avcı, Ali Serkan; Genç, ÖmerValues that are used in solar energy applications are usually calculated by data for radiation reaching a horizontal plane. In order to achieve maximum efficiency in solar energy, panels must be at a suitable angle and position. This study determined monthly optimum panel angles for the Southern Aegean Region (Muğla) in Turkey and created three different correlations. In an annual course (January-December), panel angles varied in the order of 590 , 490 , 380 , 200 , 50 , 00 , 00 , 150 , 320 , 490 , 590 and 610 . The average annual panel inclination angle was 32.250 , and in the case of changing the angles monthly, the annual efficiency increased by 17.03% in comparison to horizontal position and reached the average annual radiation value of 5949 W/m2 -year. The best estimation model developed for the region was in the form of β . = 0,0002(δ) ଷ − 0,0092(δ) ଶ − 1,4379(δ) + 34,72. The statistical analysis values were R2 (0.9973), MBE (0.0031), RMSE (1.22) and t-sat (0.0085), while they successfully corresponded to the panel inclination values.Öğe Examination of renewable energy sources in Batman(Bitlis Eren Üniversitesi, 2017) Kallioğlu, Mehmet Ali; Avcı, Ali Serkan; Ercan, Umut; Kıstak, CelalNowadays, there is a rapid increase in demand for energy in Turkey. For this reason, it is very important to use renewable energy sources for potential high, clean and continuous ones. Batman province should make more use of renewable energy sources according to its geographical position. Among these energy sources are sun, wind, biomass, geothermal energy. Although it has a potential above the average of Batman province in terms of solar energy, it is not used at a sufficient level. It has a potential of about 1580 kWh / m2 . Hydraulic energy has a very high power of about 250 MW. It also has a wind energy potential of 7,92 MW. But there is no power plant because the wind cannot provide the necessary conditions for energy. Another source of energy, biomass energy, has 69.618,95 TOE (tons of oil equivalent) / year of energy supply, but no plant exists. A similar situation also applies to the source of geothermal energy. Batman province does not have active geothermal energy facilities. This study investigated the current state of the renewable energy resources in Batman and its more efficient use.
