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Öğe 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 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.
