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Öğe Performance analysis of temperature changes of fuels used in pem fuel cell(Batman Üniversitesi, 2022-12-31) Demir, Merve; Yılmaz, AdemIn this study, the temperature values of the fuels used in Polymer Electrolyte Membrane (PEM) fuel cell were determined and the optimum temperature ranges were obtained for these fuels. Pure hydrogen and oxygen were used in the anode and cathode portions. In this study, moisture was taken as 40%, hydrogen amount as 0.3 ml/min and oxygen amount as 0.5 ml/min. Line temperature values in the system were also tested between 40-80°C with a 5°C difference. In the experiments carried out at 40°C, when the voltage value was taken as 0.442V and the current value was taken as 1.81A, the power value obtained in the system was found to be 0.804W. In the experiment, when the current value is 1.8A and the voltage value is 0.535V at 75°C, the power value in the system is found to be 1.025W. The lowest W value was calculated as 0.804W at 40°C and the highest W value was calculated as 1.025W at 75°C.Öğe Energy efficiency and thermal comfort analysis of traditional Diyarbakır inn(IJSER, 2019-09) Kallioğlu, Mehmet Ali; Yılmaz, Adem; Ünvar, Sinan; Beştaş, BilalThe traditional structures of Diyarbakır is reflect centuries of Mesopotamian culture interms of planning. Beside the walls of Diyarbakır, many buildings and traditional houseswere built with the most suitable materials and components depending on the climaticcharacteristics. It is easy to recycle to the environment because it is made of naturalmaterials and the design in which it conforms to the climatic and geographical structureof the environment in which it is located. In addition, it accommodates ecological andsustainable design criteria with its structure providing comfortable indoor environmentsthat can heat and cool without requiring additional measures. Nowadays, energy efficiencyand thermal comfort analyzes of these designs have been made with the engineeringsimulation program Autodesk Ecotect Analysis. In this study, thermal analysis and solarintensity of Sülüklü Han which was built in 1680 in different days, months and seasonswere investigated. National (BEPY) and international (ASHRAE) standards were evaluatedand simulated as a result of the simulations. Because fossil fuels have come to the end.With this study, energy efficiency of traditional buildings will be examined and energyefficiency will be provided for new buildings. Thus, maximum utilization of solar energy willbe achieved and energy saving will be achieved. title.Öğe Effect of climate change on some meteorological data: Batman example(ISITES, 2015) Karakaya, Hakan; Kallioğlu, Mehmet Ali; Yılmaz, AdemIncreasing Energy need in the global economy and tendency to utilization of poor quality fossil fuels have led to significant changes in world climate in recent years. Nowadays, global climate change has started taking part in the upper parts of the agenda. Human health, ecosystems even climate change evaluated as a problem to cause threat in terms of maintaining the human race have come forefront as basic ıssue of scientists and governments especially in recent years. In this study, an evaluation has been carried out about meteorological data of Batman Province, which has been developing rapidly in recent years and is located in the Southeastern Anatolian Region where climate change is felt severely. Within this context, meteorological data belonging to the years between 1993 and 2013 were provided by State Meteorology Affairs General Directorate. At twentyyear time, monthly average alterations of data in solar radiations, in wind power and in the amount of precipitation and temperature relations among them have been investigated by means of statistical analyses. As a result of the study, some significant changes in meteorological data of the region searched have been found and suggestions on solutions have been proposed.Öğe Empirical calculation of the optimal tilt angle for solar collectors in northern hemisphere(Taylor & Francis, 2020-03) Karakaya, Hakan; Kallioğlu, Mehmet Ali; Durmuş, Aydın; Yılmaz, AdemPanel tilt angles (0°–90°) need to be in a proper position and location to get maximum productivity from solar energy. Values used in solar energy applications are generally computed by (global, diffuse, and direct) variation on horizontal surfaces calculated using isotropic sky and a mean albedo method. Being parallel to the available literature concerning such applications, this study focuses on the optimum solar panel angle. In this study, optimum solar panel angle value by months was determined for three sample provinces (Antalya, Kayseri, and Trabzon) first and North Hemisphere then. Capacity calculation of sample provinces was performed based on monthly, seasonal, and annual angle values and horizontal situation. Monthly and annual optimum angle values for Northern Hemisphere by 1° increase for between the latitudes of 1° N and 65° N. While the panel angle is at the highest level in autumn and winter (November-December-January and February) in annual process, the lowest angle is observed in spring and summer (May-June-July-August). Several different mathematical models have been developed for the sample provinces and Northern Hemisphere. While the variable of 12 different models that were developed for provinces is the Declination (δ) coefficient, the variable of 7 different models that were developed Northern Hemisphere is the latitude (Ø). Regional values in literature with estimation results of models were analyzed based on NASA and PVGIS data color scale. There was created a possibility of comparison by aligning all the optimum solar panel angle values of related location via a scale whose values vary by 1 and 10. Moreover, all the models were verified by statistical analysis methods. R2 (determination coefficient) in 19 different estimation equations is pretty close or equal to 1. However, the best among them is Eq. 32 (0.9979) for sample provinces and Eq. (33) (1) for the Northern Hemisphere; developed models are less-than-stellar. Other statistical data of these equations are MBE (−0.0616), RMSE (1.1176), t-sat (0.1830), Bias (1). For Eq. (32); MBE (1.96), RMSE (2.75), t-sat (8.13), MPE % (3.98), MAPE (5.87), SSRE (0.27), and RSE (0.06) for Eq. (33). The statistical analyzes indicate that all regression models are applicable in Turkey and Northern Hemisphere. Developed all correlations are recommended for academic and industrial users.
