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Öğe Investigation of the usability of wind energy potential in Batman(Batman Üniversitesi, 2018) Karakaya, Hakan; Avcı, Ali Serkan; Kallioğlu, Mehmet Ali; Ercan, UmutÖğe Investigating solar energy potential of Diyarbakır province(ISITES, 2015) Kallioğlu, Mehmet Ali; Ercan, Umut; Fidan, Cihad; Şevik, SeyfiNowadays, a large ration its energy needs are changed by fossil fuels. Research into the use of these fuels with limited reserves to be, and renewable energy sources because of the damage they have on the environment are focused. Solar energy, compared to other renewable energy resources in addition to the potential and ease of use has an easier way, you can spread opportunity. In this study, renewable energy sources include solar energy potential of Diyarbakir both existing potential to have both different and important places in the solar based energy production systems in terms of production technology and the degree of use of this potential and the method was investigated. The findings of the survey results indicate that H/H0=-1.0308(S/S0) 2 +1.8082(S/S0)–0.2235 and R2 0.9481 among all statistical mathematical model.Öğe Mathematical model of a sorting machine(Tarım Makinaları Derneği, 2014-06-01) Ercan, Umut; Mutlu, Hüseyin; Akçalı, İbrahim DenizÖğe 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 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.Öğe Investigation of combustion efficiency in flue gases: Batman city example(Afyon Kocatepe Üniversitesi, 2016-03) Karakaya, Hakan; Ercan, Umut; Kallioğlu, Mehmet Ali; Avcı, Ali Serkan; Düz, HasanEnergy, a requirement for meeting people’s needs and for continuation of healthy development of a country, is particularly used in fields such as industry, house heating and transportation. However, in addition to its benefits essential for life, energy causes great deal of environmental pollution during its production, conversion, transportation and consumption. One of the basic causes of environment and air pollution is that combustion does not occur efficiently. Therefore, it is important to find out combustion efficiency after flue gas analysing measurements are carried out. In this study, with regard to flue gas exit heat, CO2, O2, combustion efficiency of fuels such as wood, lignite and natural gas which are mostly used in heating systems of houses in Batman city were investigated.Öğe Empirical modeling between degree days and optimum insulation thickness for external wall(Taylor & Francis, 2020-03) Karakaya, Hakan; Kallioğlu, Mehmet Ali; Ercan, Umut; Avcı, Ali Serkan; Fidan, CihatInsulating is the most effective method that is used to save energy in buildings. Samples from cities from different climatic zones from TS 825 (Turkey) first. Optimum insulation thickness () analysis is based on two types of insulating and four different fuels (natural gas, coal, fuel oil and electric) of related cities. Cost accounts, payback period and CO2-SO2 emission calculations were performed based on these analyses. Second of all, the relationship between a number of degree day (NDD) and optimum insulation thickness () was developed by linear, quadratic and cubic correlations. Thirty different mathematical correlations based on different fuel types by using XPS and EPS insulating materials. Twenty-four of these models that were developed were generated peculiar to the fuel type; six of them were generated based on average insulation thickness. R2 values of related correlations are between 0.9989 most and 0.9952 at least as well as it is pretty close to (R ≤ 1) one value. The model among these models is the cubic mathematical model that gives the best average value. a = 0.0036, b = 5E-05, c = – 7E-09 and d = 6E-13 are the values for XPS material. Following values are for EPS material; a = 0.0028, b = 5E-13, c = – 7E-09 and d = 4E-05. R2 determination coefficient of both two equations is pretty close to 0.9989 and 1; the models obtained are less-than-stellar. Optimum insulation thickness of the area can be known based on the type of material via the number of degree day without the need for long analyses. According to the R2 values, the use of all models is recommended for academic and industrial users.
