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Ali Keçebaş - One of the best experts on this subject based on the ideXlab platform.
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Effects of air gap on Insulation Thickness and life cycle costs for different pipe diameters in pipeline
Energy, 2017Co-Authors: Ali Daşdemir, Ali Keçebaş, Mustafa Ertürk, Cihan DemircanAbstract:This article reports the effects of air gap on Insulation Thickness and life cycle costs for different diameter steel pipes. The life cycle cost analysis based on heat degree days is used as a calculation method. Under climatic conditions in Afyonkarahisar, Turkey, using several fuel types and various Insulation materials, the annual total costs, energy saving and payback period are evaluated for the Insulation of different diameter pipes and also for use of an air gap. The results show that under all conditions, the lowest optimum Insulation Thickness was found for natural gas and XPS Insulation material. Considering all variable parameters in the analysis, optimum Insulation Thickness, energy cost savings and payback periods for all air gap values varied within the intervals 0.3–25 cm, 20 to 423 $/m-yr and 0.8–2.2 years, respectively. In conclusion, in terms of the effect of air gap on Insulation Thickness and life cycle costs, for small diameter pipes air gap is effective, whereas for large diameter pipes the Insulation Thickness plays significant role.
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Determination of optimum Insulation Thickness for environmental impact reduction of pipe Insulation
Applied Thermal Engineering, 2016Co-Authors: Yusuf Başoğul, Cihan Demircan, Ali KeçebaşAbstract:Abstract This paper reports on the use of a new method to evaluate the optimal Insulation Thickness according to life cycle assessment (LCA) in pipe Insulation applications. In this study, the optimum Insulation Thickness in the pipes is analysed based on two different methods (life cycle assessment – LCA and life cycle cost – LCC) used to determine the optimum Insulation Thickness for the environmental impact reduction of pipe Insulation. Thus, the LCC analysis is used to evaluate the accuracy of this new method; data are collected from the Insulation and energy markets, and the results are compared. The effects on the environmental and cost parameters of Insulation Thickness are also discussed in detail. The results indicate that the total environmental impacts are almost the same values in both methods, whilst the optimum Insulation Thickness is overestimated by up to eight-fold in the LCA analysis. As a result, the LCC analysis can be used in the determination of the optimum Insulation Thickness; however, it must be supported with the LCA analysis for environmental impact reduction.
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Determination of optimum Insulation Thickness in pipe for exergetic life cycle assessment
Energy Conversion and Management, 2015Co-Authors: Ali KeçebaşAbstract:Abstract The energy saving and the environmental impacts’ reduction in the world building sector have gained great importance. Therefore, great efforts have been invested to create energy-saving green buildings. To do so, one of the many things to be done is the Insulation of cylindrical pipes, canals and tanks. In the current study, the main focus is on the determination of the optimum Insulation Thickness of the pipes with varying diameters when different fuels are used. Therefore, through a new method combining exergy analysis and life cycle assessment, optimum Insulation Thickness of the pipes, total exergetic environmental impact, net saving and payback period were calculated. The effects of the Insulation Thickness on environmental and combustion parameters were analyzed in a detailed manner. The results revealed that optimum Insulation Thickness was affected by the temperature of the fuel when it enters into the combustion chamber, the temperature of the stack gas and the temperature of the combustion chamber. Under these optimum effects, the optimum Insulation Thickness of a 100 mm pipe was determined to be 55.7 cm, 57.2 cm and 59.3 cm for coal, natural gas and fuel–oil, respectively with the ratios of 76.32%, 81.84% and 84.04% net savings in the exergetic environmental impact. As the environmental impacts of the fuels and their products are bigger than those of the Insulation material, the values of the optimum Insulation Thickness of the method used this study was found greater. Moreover, in the pipes with greater diameters, through the use of optimum Insulation Thickness, very high net savings and low payback periods were to be obtained.
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the use of artificial neural network to evaluate Insulation Thickness and life cycle costs pipe Insulation application
Applied Thermal Engineering, 2014Co-Authors: Muhammet Kayfeci, Ismail Yabanova, Ali KeçebaşAbstract:Abstract This paper reports on the use of artificial neural networks (ANNs) to predict Insulation Thickness and life cycle costs (LCCs) for pipe Insulation applications. Data were collected from Insulation markets and some data calculated by using LCC analysis. Using the collected data set and LCC analysis results for training, a three-layer feedforward ANN model based on a backpropagation algorithm was developed. This model was used for predicting optimum Insulation Thickness, total cost, cost saving and payback period. The effects on the predicted parameter of heating degree-days are discussed in detail. The results show that the network yields a maximum correlation coefficient with minimum mean absolute relative error and root mean square error. The developed ANN model has a very practical use of determining the optimum Thickness of Insulation for any location in the world when just the input parameters of the ANN model are known.
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determination of optimum Insulation Thickness of external walls with two different methods in cooling applications
Applied Thermal Engineering, 2013Co-Authors: Muhammet Kayfeci, Ali Keçebaş, Engin GedikAbstract:Abstract Thermal Insulation is one of the most effective energy conservation for the cooling applications. For this reason, determination of the optimum Thickness of Insulation and its selection is the main subject of many engineering investigations. In this study, the optimum Insulation Thickness on the external walls in the cooling applications is analyzed based on two different methods used to determine annual energy consumption. One of the methods is the degree-hours method (Method 1) that is the simplest and most intuitive way of estimating the annual energy consumption of a building. The other is the method (Method 2) which using the annual equivalent full load cooling hours operation of system. In this paper, a Life Cycle Cost (LCC) analysis is used to evaluate accuracy of these methods, and the results are compared. The results show that the life cycle savings are overestimated by up to 44% in Method 2, while the optimum Insulation Thickness and payback period are respectively overestimated by up to 74% and 69% in Method 1.
Meral Ozel - One of the best experts on this subject based on the ideXlab platform.
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effect of Insulation location on dynamic heat transfer characteristics of building external walls and optimization of Insulation Thickness
Energy and Buildings, 2014Co-Authors: Meral OzelAbstract:Abstract In this study, the effect of Insulation location on the heat transfer characteristics of building walls and optimization of Insulation Thickness are investigated numerically using an implicit finite difference method under steady periodic conditions. The investigation is carried out for a south-facing wall in the climatic conditions of Elazig, Turkey. For this purpose, Insulation is placed at outside, inside and middle of the wall. Firstly, thermal characteristics such as cooling and heating transmission loads, time lag and decrement factor are determined for each Insulation position. Then, the Insulation Thickness is optimized by using a cost analysis over a building lifetime of 20 years. Results show that Insulation location has a significant effect on the yearly averaged time lag and decrement factor. However, yearly transmission loads and hence, optimum Insulation Thickness are not affected by Insulation location. It is seen the maximum temperature swings and peak load in both summer and winter occur in the case that Insulation is placed at middle of wall while wall with outside Insulation gives the smallest fluctuation.
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Determination of optimum Insulation Thickness based on cooling transmission load for building walls in a hot climate
Energy Conversion and Management, 2013Co-Authors: Meral OzelAbstract:Abstract The main objective of this study is to determine optimum Insulation Thickness according to cooling requirements of buildings in a hot climate. The investigation is carried out using an implicit finite difference method under steady periodic conditions for different wall orientations during the summer period in Antalya, Turkey. For this purpose, a computer program developed in Matlab is utilized. Firstly, thermal characteristics such as cooling transmission load, time lag, and decrement factor are calculated. Then, the optimum Insulation Thicknesses for all wall orientations are determined by using a cost analysis over lifetime of 20 years of the building. It is seen that for cooling season, the lowest value of optimum Insulation Thickness is obtained for the north-facing wall which has minimum cooling load while the highest Thickness is obtained for the east and west walls providing the maximum cooling load. The results show that for cooling season, the most economical orientation is north with an optimum Insulation Thickness of 3.1 cm. Results obtained are also compared with the degree-days and degree-hours methods.
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The influence of exterior surface solar absorptivity on thermal characteristics and optimum Insulation Thickness
Renewable Energy, 2012Co-Authors: Meral OzelAbstract:In this study, the influence of exterior surface solar absorptivity on the thermal characteristics and optimum Insulation Thickness is investigated under dynamic thermal conditions. Numerical model based on an implicit finite difference method under steady periodic conditions is used to determine thermal characteristics such as yearly cooling and heating transmission loads, yearly averaged time lag and decrement factor. Later, these loads are used as inputs to an economic model for the determination of the optimum Insulation Thickness. The investigation is carried out for a south-facing wall in the climatic conditions of Elazig, Turkey. Solar absorptance of external surface is assumed to be varying from 0 to 1 with an increment of 0.2. Extruded polystyrene as Insulation material is selected. As the absorptance increases, heating and total transmission loads decrease while cooling transmission load increase. It is seen that the increase rate in the cooling load ranges from 66.26% to 331.28% while reduction rates in the heating and total loads range from 6.72% to 33.65% and from 2.57% to 12.90%, respectively. The results show that for uninsulated and insulated walls, solar absorptivity has a great effect on the yearly transmission loads while it has a small effect on the yearly averaged time lag. On the other hand, decrement factor is almost unaffected by solar absorptance. The results also show that solar absorptivity has a very small effect on the optimum Insulation Thickness and payback period, but a more significant effect on energy savings.
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Thermal performance and optimum Insulation Thickness of building walls with different structure materials
Applied Thermal Engineering, 2011Co-Authors: Meral OzelAbstract:Abstract This study deals with thermal performance and optimum Insulation Thickness of building walls with different structure materials under dynamic thermal conditions. Thermal performance of building walls constructed of concrete, briquette, brick, blokbims and autoclaved aerated concrete (AAC) is determined for uninsulated and insulated wall structures. Extruded polystyrene (XPS) and expanded polystyrene (EPS) as Insulation material are selected. The yearly cooling and heating transmission loads are calculated by using an implicit finite difference method under steady periodic conditions. These loads are used as inputs to an economic model including the cost of Insulation material and the present value of energy consumption cost over lifetime of 10 years of the building to determine the optimum Insulation Thickness. The investigation is carried out for a south-facing wall and the climatic conditions of Elazig, Turkey. Results show that the optimum Insulation Thicknesses vary between 2 and 8.2 cm, the energy savings vary between 2.78 and 102.16 $/m 2 , and the payback periods vary between 1.32 and 10.33 years depending on five different structure materials and two different Insulation materials. Results are compared with the degree-days method.
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Effect of wall orientation on the optimum Insulation Thickness by using a dynamic method
Applied Energy, 2011Co-Authors: Meral OzelAbstract:A comprehensive economic analysis has been performed to inter-relate the optimum Thickness of Insulation materials for various wall orientations. The yearly cooling and heating transmission loads of building walls were determined by use of implicit finite-difference method with regarding steady periodic conditions under the climatic conditions of ElazIg, Turkey. The economic model including the cost of Insulation material and the present value of energy consumption cost over lifetime of 10Â years of the building was used to find out the optimum Insulation Thickness, energy savings and payback periods for all wall orientations. Considered Insulation materials in the analysis were extruded polystyrene and polyurethane. As a result, the optimum Insulation Thickness of extruded polystyrene was found to be 5.5Â cm for south oriented wall and 6Â cm for north, east and west oriented walls. Additionally, the lowest value of the optimum Insulation Thickness and energy savings were obtained for the south oriented wall while payback period was almost same for all orientations.
Modeste Kameni Nematchoua - One of the best experts on this subject based on the ideXlab platform.
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A comparative study on optimum Insulation Thickness of walls and energy savings in equatorial and tropical climate
International journal of sustainable built environment, 2017Co-Authors: Modeste Kameni Nematchoua, Paola Ricciardi, Sigrid Reiter, Andrianaharison YvonAbstract:Abstract The increase outdoor temperature acts directly on the indoor climate of buildings. In Cameroon, the energy consumption demand in the buildings sector has been rapidly increasing in recent years; so well that energy supply does not always satisfy demand. Thermal Insulation technology can be one of the leading methods for reducing energy consumption in these new buildings. However, choosing the Thickness of the Insulation material often causes high Insulation costs. In the present study, the optimum Insulation Thickness, energy saving and payback period were calculated for buildings in Yaounde and Garoua cities, located in two climatic regions in Cameroon. The economic model including the cost of Insulation material and the present value of energy consumption and the cost over a life time of 22 years of the building, were used to find the optimum Insulation Thickness, energy saving, and payback period. Materials that extruded polystyrene were chosen and used for two typical wall structures (concrete block (HCB) and compressed stabilized earth block wall (CSEB)). The early cooling transmission loads, according to wall orientations and percentage of radiation blocked were calculated using the explicit finite-difference method under steady periodic conditions. As a result, it was found that the west- and east-facing walls are the least favourite in the cooling season, whereas the south and north orientations are the most economical. Although wall orientation had a significant effect on the optimum Insulation Thickness, it had a more significant effect on energy savings. In equatorial region (Yaounde), for south orientation, the optimum Insulation Thickness was 0.08 m for an energy savings of 51.69 $/m2. Meanwhile, in tropical region (Garoua), for north orientation, the optimum Insulation Thickness was 0.11 m for an energy savings of 97.82 $/m2.
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influence of external shading on optimum Insulation Thickness of building walls in a tropical region
Applied Thermal Engineering, 2015Co-Authors: Elvis Wati, Pierre Meukam, Modeste Kameni NematchouaAbstract:This study aims to optimize the Thicknesses of Insulation layers in external walls of continuously used building in a tropical region according to shade level. The investigation is carried out under steady periodic conditions for various wall orientations using a Simulink model constructed from H-Tools (the library of Simulink models). Walls are assumed to be insulated using expanded polystyrene material. The shade level of the building site is assumed to be varying from 0 to 97% with an increment of 25% or 22%. Yearly cooling load is calculated and used as input to an economic model for the determination of the optimum Insulation Thickness. It is seen that as shade level increases, optimum Insulation Thickness decreases at an average rate of 0.035 cm, 0.029 cm and 0.036 cm per percentage of solar radiation blocked for south, north and east/west oriented wall, respectively. Results also show that energy savings vary between 46.89 $ m−2 and 101.29 $ m−2 and payback periods vary between 3.56 years and 4.97 years depending on shade level and wall orientation.
Anirudh Bhaskaran - One of the best experts on this subject based on the ideXlab platform.
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Optimum Insulation Thickness of walls for energy-saving in hot regions of India
International Journal of Sustainable Energy, 2014Co-Authors: A. Shanmuga Sundaram, Anirudh BhaskaranAbstract:In India, the energy consumption in the building sector is rapidly increasing due to improvement in living standards. Effective thermal Insulation of building walls is one of the most effective energy conservation measures for heating, ventilation, and air conditioning applications in buildings. In this study, the thermoeconomic optimisation of Insulation Thickness on walls of buildings is analysed based on degree days. Thermoeconomic parameters such as optimum Insulation Thickness, annual electrical energy consumption, annual energy cost and payback period is determined for three different Insulation materials for the cities located in India. Database on Insulation materials for five cities of India are provided. © 2013 © 2013 Taylor & Francis.
Bedri Yüksel - One of the best experts on this subject based on the ideXlab platform.
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Energy consumption based on Insulation Thickness of exterior walls in public buildings
Proceedings of the Institution of Civil Engineers - Energy, 2019Co-Authors: Okan Kon, Bedri YükselAbstract:The rectorate building of Balikesir University located in the north-western part of Turkey is evaluated. The energy consumption of the building with an outer wall of optimum Insulation Thickness ha...
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environmental impact of thermal Insulation Thickness in buildings
Applied Thermal Engineering, 2004Co-Authors: Kemal Comakli, Bedri YükselAbstract:Abstract Environmental problems caused by energy using threaten the world. High CO2 emissions emitted into the atmosphere by combustion of fossil fuels cause global warming. Result of combustion of fossil fuels used for heating buildings, air pollution occurs much more in cold cities like Erzurum. Erzurum is one of the coldest cities of Turkey. Low quality fuel consumption together with the increasing energy demands for space heating have caused very high air pollution and poor air quality on occasion during heating period in Erzurum. Thus, in this work, we investigated environmental impact of heat Insulation used for reduction heat losses in building. In this analysis, it has been determined that CO2 emissions amount decreased 50% by means of optimum Insulation Thickness used and other energy savings methods in buildings.
