Yazar "Ozbalta, Turkan Goksal" seçeneğine göre listele

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    The effects of insulation location and thermo-physical properties of various external wall materials on decrement factor and time lag
    (Academic Journals, 2010) Ozbalta, Turkan Goksal; Ozbalta, Necdet
    Technological improvements and population growth make energy saving more important especially for developing countries. As known, a considerable amount of consumed energy is used for space heating in buildings; therefore, using insulation for external wall has gained more importance. In this sense, this study, which consists of two parts, examines the efficiency of insulation location and thermo-physical properties of various external wall materials (brick, reinforced and lightweight concrete). In the first part, the optimum insulation thickness of external walls for various wall materials and different fuel types in cold region (Eskisehir) has been investigated. The optimization is based on the P(1)-P(2) method. Besides, the effect of the thermal properties of different wall constructions and the location of insulation on time lag and decrement factor are studied; and then, the daily thermal behaviours of various wall constructions are simulated. In consequence of the study, time lags were determined between 4.34 and 6.74 on the outer insulated walls and 3.64 and 5.86 on the inner insulated walls. The decrement factor was computed between 0.008 - 0.023 and 0.019 - 0.029 respectively.
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    Energy performance analysis of a historical building using cost-optimal assessment
    (Elsevier Science Sa, 2021) Ozbalta, Turkan Goksal; Yildiz, Yusuf; Bayram, Irem; Yilmaz, Osman Cem
    The energy efficiency concept has attracted significant attention over the last few years and has taken a prominent role in the development goals of countries. Considering that buildings have a high share in total energy consumption, it is crucial to improve their energy performance both in environmental and economic terms. Although efforts in increasing buildings' energy efficiency have primarily focused on new buildings, existing buildings still retain their importance. Historical buildings are included in the existing building stock. It is essential to increase their energy efficiency to achieve carbon-neutral building targets set from EU Directives. In this paper, we proposed measures to improve the energy efficiency and determine cost-optimal levels of a public historical building located in a hot-humid climate zone of Turkey. An integrated approach based on in situ measurements and building energy simulations was used to create a building energy model that was calibrated by using real measurements. Then, 365 energy-efficient measures are applied to the building and conducted an economic feasibility study by utilizing a cost-optimal envelope, lighting, heat pump and photovoltaic panel. A sensitivity analysis is performed to determine the impact of investing on optimal cost-of-energy level calculations with focus on the inflation rate, different interest rates, and calculation periods. Sensitivity analysis of discount rate has shown when the discount rate increases, global costs decrease. It is observed that the changes in economic parameters that could cause a decrease in annual costs reduced the cost effectiveness of the scenarios with high initial investment costs. (c) 2021 Elsevier B.V. All rights reserved.
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    ENERGY-SAVING RETROFITTING OF HOUSES IN COLD CLIMATES
    (Turkish Soc Thermal Sciences Technology, 2014) Yildiz, Yusuf; Ozbalta, Turkan Goksal; Eltez, Asude
    Built environment is a problematic issue from an energy use perspective because an important part of total energy consumption in countries is usually caused by existing buildings. Current buildings stock constructed before 2000 in Turkey is mostly thermally poor and current standards related to energy efficiency in buildings are relatively not enough when compared with international examples. In this research, impacts of various energy efficient measures on heating for an existing detached two-storey house located in cold climate, Eskisehir-Turkey are analyzed to find possible energy saving rate by using DesignBuilder and EnergyPlus software. Firstly, energy consumption profile for base case is simulated then, effect of defined energy efficient measures on total heating energy consumption is investigated. Lastly, life cycle approach is applied to make an economic analysis and estimating payback period for energy efficient measures, As a result, the highest energy saving (37%) for heating was obtained by the application of thermal insulation on external wall, floor and ground floor and replacement of current windows. In addition, the payback period of energy efficient measures are more than 10 years; thus, the government should support energy efficient retrofitting of existing buildings in Turkey.
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    Heat gain through Trombe wall using solar energy in a cold region of Turkey
    (Academic Journals, 2010) Ozbalta, Turkan Goksal; Kartal, Semiha
    In this study, heat gain from solar energy through Trombe wall was investigated in Turkey. The wall materials, reinforced concrete, brick and autoclaved aerated concrete, were taken into consideration with various surface colours. The passive heating potential of Trombe wall was estimated by using unutilizability method which is used in the designs of passive systems for heat gain. The results indicated that the annual heat gain from solar energy through Trombe walls was found out to be between 26.9 to 9.7% for concrete, 20.5 to 7.1% for brick and 13.0 to 4.3% for aerated concrete in different surface colours.
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    Models for Prediction of Daily Mean Indoor Temperature and Relative Humidity: Education Building in Izmir, Turkey
    (Sage Publications Ltd, 2012) Ozbalta, Turkan Goksal; Sezer, Alper; Yildiz, Yusuf
    In this research, several models were developed to forecast the daily mean indoor temperature (IT) and relative humidity values in an education building in Izmir, Turkey. The city is located at a hot-humid climatic region. In order to forecast the IT and internal relative humidity (IRH) parameters in the building, a number of artificial neural networks (ANN) models were trained and tested with a dataset including outdoor climatic conditions, day of year and indoor thermal comfort parameters. The indoor thermal comfort parameters, namely, IT and IRH values between 6 June and 21 September 2009 were collected via HOBO data logger. Fraction of variance (R-2) and root-mean squared error values calculated by the use of the outputs of different ANN architectures were compared. Moreover, several multiple regression models were developed to question their performance in comparison with those of ANNs. The results showed that an ANN model trained with inconsiderable amount of data was successful in the prediction of IT and IRH parameters in education buildings. It should be emphasized that this model can be benefited in the prediction of indoor thermal comfort conditions, energy requirements, and heating, ventilating and air conditioning system size.
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    Multi-criteria decision-making approach for selecting a structural system of an industrial facility
    (Sciendo, 2022) Zumrut, Irem Bayram; Baran, Hamim Burak; Ozbalta, Turkan Goksal
    Selection of an appropriate structural system for an industrial facility is a difficult task for decision makers since it is the essential component, and it is hard to satisfy the owner's demands as well as the legal requirements. There are many conflicting preferences that have to be considered to assess the performance of the structural system alternatives. Decision support systems (DSSs) such as multi-criteria decision-making (MCDM) methods are useful in making an objective and rational choice. It is important to use MCDM methods in order to analytically evaluate different factors affecting the structural system selection. To address these challenges, the selection of the structural system of an industrial facility project in Turkey was carried out by applying Analytic Hierarchy Process (AHP) and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) MCDM methods. Eight evaluation criteria were determined for the selection process within the scope of the study, which are project cost, project duration, project lifetime, labour and equipment requirement, recycling opportunities, resistance to environmental effects, suitability for installation and natural lighting needs. Prefabricated reinforced concrete (PRC), on-site reinforced concrete (RC) and steel structural system alternatives were evaluated according to each criterion by a survey study conducted by 193 civil engineer participants. Using the AHP and TOPSIS methods, it is determined that the most suitable alternative for industrial facilities is the steel structural framing system. The results were argued with the design team, and they confirmed that MCDM methods could be easily integrated in selecting the most appropriate structural system.
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    Theoretical and experimental analysis of the solar energy gain of transparent insulated external wall in climatic conditions of Izmir
    (Sila Science, 2010) Ozbalta, Turkan Goksal; Ozbalta, Necdet
    The increased use of renewable forms of energy constitutes one of the most important future-oriented strategies with a view to Sustainable development. In the field of space heating, which accounts for approximately 35-40% of the total energy demand in Turkey, the use of solar energy is of particularly great importance. In this context, transparent insulation materials are considered a promising innovative technology. Therefore in this study, the thermal behaviour of two, transparent insulated and uninsulated, external walls were examined experimentally under atmospheric conditions. As regards the results of the experiment, the thermal mode of the wall was simulated and energy gain with the application of transparent insulation on the wall was calculated. During the heating period, energy gain was calculated as 48.24 kWh/m(2) depend on the transparently insulated south-facing wall.