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Öğe An experimental investigation of the effect of thermophysical properties on time lag and decrement factor for building elements(Gazi University, 2020-06-01) Oktay, Hasan; Yumrutaş, Recep; Argunhan, ZekiThe time lag (TL) and decrement factor (DF) are essential for the heat storage capabilities of building elements, which strictly depend on the thermophysical properties of the elements. Many investigations are presented in literature arguing to find the influence of each thermophysical property on TL and DF by keeping the other properties constant. This study aims to investigate the effect of each property on TL and DF, utilizing relationships between the measurement values of the thermophysical properties of wall materials. Therefore, first, 132 new concrete wall samples were produced, and their thermophysical properties were tested. Secondly, TL and DF values for each building element are computed from the solution of the problem by Complex Finite Fourier Transform (CFFT) technique. Finally, a multivariate regression analysis has been performed, and the variations of each thermophysical property versus TL and DF are presented, and also the findings are compared with literature. The results show that each property alone (keeping the other properties constant) is not adequate to identify the thermal inertia and thermal performance of a wall element. Besides, 87.3 % decrease in thermal diffusivity corresponds to 6.03 h increase in the value of TL and 88.8 % decrease in value of DF; respectively, for W1 wall assembly.Öğe Artificial neural network approach for theprediction of thermal ınsulation properties of lightweight building materials for energy efficient buildings(İnönü Üniversitesi, 2016) Oktay, Hasan; Polat, Süleyman; Fidan, ŞehmusÖğe Prediction of the thermal conductivity of lightweight building materials utilizing backpropagation neural network method(Fırat Üniversitesi, 2015) Oktay, Hasan; Polat, Süleyman; Fidan, ŞehmusThe growing concern about energy consumption of heating and cooling of buildings has led to a demand for improved thermal performances of building materials. In this study, an experimental investigation is performed to predict the thermal insulation properties of wall and roof structures of which the mechanical properties are known, by using backpropagation artificial neural network (ANNs) method. The produced samples are cement based and have relatively high insulation properties for energy efficient buildings. In this regard, 102 new samples and their compositions are produced and their mechanical and thermal properties are tested in accordance with ASTM and EN standards. Then, comparisons have been made between the determined thermal conductivity of the newly produced structures, which are obtained from experimental method and ANN method that uses mechanical properties as input parameters. From the test results, since the percentage errors in the thermal conductivity values between experimental data and neural network prediction vary from - 1.09% to 6.4%, It can be concluded that the prediction of the artificial neural network has proceed in the correct manner.Öğe Experimental and articial neural network based studies on thermal conductivity of lightweight building materials(European Journal of Technique (EJT), 2017-04-01) Oktay, Hasan; Fidan, Şehmus; Sevim, Davut; Polat, SüleymanThe growing concern about energy consumption of heating and cooling of buildings has led to a demand for improved thermal performances of building materials. In this study, an experimental investigation is performed to predict the thermal insulation properties of wall structures of which the mechanical properties are known; by using Levenberg-Marquardt training algorithm based artificial neural network (ANNs) method for energy efficient buildings. The produced samples are cement based and have relatively high insulation properties for energy efficient buildings. In this regard, 102 new concrete samples and their compositions are produced and their mechanical and thermal properties are tested in accordance with ASTM and EN standards. Then, comparisons have been made between the experimental results and the ANN predicted results. It can be concluded that thermal performance of lightweight materials could be predicted with high accuracy using artificial neural network approach.Öğe Comparison of CLTD and TETD cooling load calculation methods for different building envelopes(Mugla Sitki Kocman University, 2020-06-30) Oktay, Hasan; Yumrutaş, Recep; Işık, Mehmet ZerrakkiThe estimation of the cooling load through the building envelope is an essential task in the selection of proper HVAC system components that influences the building’s performance. For this task, ASHRAE has presented several methods to calculate the building cooling load due to heat gain, such as the total equivalent temperature difference method (TETD), the cooling load temperature difference method (CLTD), and the radiant time series method (RTS). The present study aims to explore the accuracies of those calculation methods in terms of energy efficiency. In this regard, an analytical solution method utilizing Complex Finite Fourier Transform Technique (CFFT) was developed for the calculation of cooling load due to heat gain to compare the temperature differences obtained from the TETD and CLTD methods. Then, a computer program was prepared in MATLAB to perform the calculations based on an analytical methodology. Besides, the estimated CLTD and TETD values by the CFFT were compared with those values presented in the Handbook of the ASHRAE. The calculation results revealed there is a good agreement between the analytical and presented results in the ASHRAE Manual for the selected building envelopes. However, several differences were found between the estimated TETD and CLTD cooling load values and those presented in the Handbook of ASHRAEÖğe Bina yapı elemanları için CLTD ve TETD soğutma yükü hesaplama yöntemlerinin periyodik çözümlerinin karşılaştırılması(Pamukkale Üniversitesi, 2019) Oktay, Hasan; Yumrutaş, Recep; Işık, Mehmet ZerrakkiBina yapı elemanlarından kaynaklı soğutma yükünün doğru bir şekilde hesaplanması, binanın performansını etkileyen uygun HVAC sistem bileşenlerinin seçiminde önemli bir görevdir. Bu görev için ASHRAE, bina soğutma yükünü hesaplamak için, soğutma yükü sıcaklık farkı yöntemi (CLTD), toplam eşdeğer sıcaklık farkı yöntemi (TETD) ve radyant zaman serisi yöntemi (RTS) gibi çeşitli yöntemler sunmuştur. Bu çalışma, bu hesaplama yöntemlerinin enerji verimliliği açısından doğruluğunu araştırmayı amaçlamıştır. Bu bağlamda, CLTD ve TETD yöntemlerinden elde edilen sıcaklık farklarını karşılaştırmak için karmaşık sonlu Fourier dönüşüm tekniği (CFFT) kullanarak soğutma yükünü hesaplayan analitik bir çözüm yöntemi geliştirilmiştir. Matematiksel çözüme dayalı bir hesaplama yöntemi geliştirilmiş olup, sayısal hesaplamalar için ise Matlab'da bir bilgisayar programı hazırlamıştır. Bunun yanında, CFFT tarafından hesaplanan CLTD ve TETD değerleri ASHRAE tarafından sunulan değerlerle karşılaştırılmıştır. Seçilen bina yapı elemanları için hesaplanan sonuçlar ile ASHRAE taraından verilen değerler arasında önemli bir uygunluk olduğu görülmüştür. Ayrıca, hem hesaplanan hem de ASHRAE tarafından sunulan TETD ve CLTD soğutma yükü değerleri arasında çeşitli farklılıklar tespit edilmiştir.Öğe Comparison of the thermal performances of concretes containing waste rubber for energy efficient buildings(2018) Oktay, Hasan; Yumrutaş, RecepDue to the rapid depletion of available sites, the disposal of waste tires is becoming a serious environmental problem day by day. Assessment of waste rubbers in concrete is an innovative solution that meets both the challenge of the tire disposal problem and a demand for improved thermal performances of structural materials for energy efficient buildings. Therefore, in this study, an investigation is performed both to obtain new concrete types by using waste rubbers with high thermal insulating characteristics and to compare the thermal performance of those concretes with conventional ones. For this purpose, different types of concrete samples were prepared with a constant water-cement ratio, and normal aggregates replaced by rubber aggregates at different volume fractions between 0% and 60% of the total aggregate volume. In the experiments, all mechanical tests were conducted and the hot disk method was used to establish thermal property values of concrete samples. In order to determine the most suitable concrete samples, heat flows through the produced samples are calculated using a program developed in MATLAB. Calculation method for the heat flow is based on solution of transient heat transfer problem for the multilayer structures. The program is executed to calculate hourly heat gain values for these samples over a period of 24 h during design day for Batman, Turkey. The results indicated that the maximum reduction in heat gain value was obtained as 50.6 % for RC60 wall with commonly used thickness of 20 cm corresponding to conventional concrete.Öğe An investigation of the influence of thermophysical properties of multilayer walls and roofs on the dynamic thermal characteristics(Mugla Sitki Kocman University, 2016-06-09) Oktay, Hasan; Argunhan, Zeki; Yumrutaş, Recep; Işık, Mehmet Zerrakki; Budak Ziyadanoğulları, NeşeThe growing concern about energy consumption of heating and cooling of buildings has led to a demand for improved thermal performances of building materials. To achieve this goal, in this study, an investigation is performed to analyze the influence of thermophysical properties and thickness of various multilayer building walls or roofs in a building on the dynamic thermal characteristics, such as the decrement factor (DF), time lag (TL) and heat gain. In order to find the thermal performance characteristics of building structures, such as briquette, brick, blockbims and autoclaved aerated concrete (AAC), which are commonly used in Turkey, an analytical solution method was developed in a computer program in MATLAB and results are compared to determine suitable wall or roof material. Calculation method for the heat flow is based on solution of transient heat transfer problem for the multilayer structures. The program is executed to calculate hourly heat gain values for these samples over a period of 24 h during design day for Gaziantep, Turkey. It was found that thermophysical properties of roofs or walls have a very profound effect on the time lag (TL), decrement factor (DF) and also heat gain.Öğe Effects of fuels produced from fish and cooking oils on performance and emissions of a diesel engine(Elsevier, 2014-07-15) Oktay, Hasan; Yumrutaş, Recep; Behçet, RasimIn this study, two fuels called as FOME (Fish Oil Methyl Ester) and COME (Cooking Oil Methyl Ester) were produced from waste fish and cooking oils using the transesterification method. Commercial D2 (Diesel fuel) and two fuel samples obtained by blending the FOME and COME with the D2 with a ratio of 25% on volume basis were used as fuels in a Diesel test engine. An experimental study was performed for investigating the performance and exhaust emissions of the Diesel engine using the fuels. According to the test results, it was observed that the fish oil based fuel indicated better performance and exhaust emission parameters than those of cooking oil. Results clearly showed that the engine power and torque values were lower than those of the Diesel fuel with values of 3.05% and 1.25% for FB25, and 4.07% and 2.2% for CB25, respectively. Also, brake specific fuel consumption for the produced fuels increased up to 5.69% compared to Diesel fuel. However, HC and CO emission reductions compared to the Diesel fuel were found to be around 16.24% and 19.81%, respectively. But, the amount of increase in NOx emissions for the same biodiesel fuels reached up to 17.2%.Öğe The effects of RCCI application on the performance and emission of diesel engine at medium loads(Dicle Üniversitesi, 2018-11) Aydın, Hüseyin; Işık, Mehmet Zerrakki; Oktay, Hasan
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