Master Degree / Yüksek Lisans Tezleri
Permanent URI for this collectionhttps://hdl.handle.net/11147/3008
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Master Thesis An Investigation of Transient Thermal Behaviors of Building External Walls(Izmir Institute of Technology, 2015) Pekdoğan, Tuğçe; Başaran, TahsinHeat transfer problem of the building opaque wall surfaces are highly important for providing thermal comfort for different climatic conditions and orientations. In this study, the insulation models with external, internal and center positioned insulation materials are parametrically analyzed regarding their time dependent thermal behaviors. One-dimensional time-dependent heat conduction equation is investigated by solving via implicit finite difference method for summer and winter climatic conditions; and north, south, east and west orientations. Meteorological data for Ankara, Erzurum, İstanbul and İzmir, which are cities with different climatic conditions, are used in these calculations. The results indicate that, sandwich wall insulated type gives more convenient results regarding the heating loads for winter and cooling loads for summer, for each investigated city and directions.Master Thesis Energy Performance Analysis of Adnan Menderes International Airport (adm)(Izmir Institute of Technology, 2010) Ceyhan Zeren, Fatma Tuba; Özkol, ÜnverSpace cooling and heating are needed throughout the year for commercial buildings and electricity use in these buildings accounts for about one-third of the total energy consumption in Turkey. In this study, Adnan Menderes International Airport (ADM) located in Izmir is simulated with EnergyPlus software which is a new generation building energy analysis tool. The simulation model is constructed first with Design Builder and than the measured data are used to compare the model. EnergyPlus simulations are used in this thesis to help understanding more about the ADM.s dynamics and evaluate various strategies such as different orientation and heating, cooling, ventilation and air conditioning (HVAC) system. According to simulation and different HVAC system results; cooling electricity consumption increases 2.8 times in each month. According to simulation and east orientation results, heat gains decrease between 2% and 11% in winter, autumn and spring months and increase between 3% and 14% in summer months. Measured data of ADM building showed that HVAC system had constituted almost 80% of the total energy consumption, according to the average data obtained in 2008. The difference between measured and simulation consumption values are greater more than 70%. According to simulation results, also there is 2.4 times more electricity consumption on 18 August when compared to 11 January. Finally, analysis showed that ADM building requires year-round cooling and very little heating.Master Thesis Dynamic Energy and Exergy Analysis of an Existing Building in Iztech(Izmir Institute of Technology, 2013) Akdemir, Manolya; Başaran, TahsinPrimary objective of this thesis is to find out energy level of an existing building and investigate the opportunities in order to improve its energy level by retrofitting the envelope and using exergy analysis methods on alternative HVAC systems. To arrive at the objective, an existing building, Izmir Institute of Technology (IZTECH), Faculty of Architecture Block C, has been used as the case study. This building cannot comply with TS-825 standards (Turkish Standard Assessment) and energy efficiency parameters due to the building components and HVAC systems. According to the recorded outdoor climatic conditions, the building was modeled and simulated; and the retrofitting was tried in EDSL-TAS energy simulation software package. Simultaneously, exergy analyses for the situations before and after refurbishments were employed. Different from the most studies in the literature, this thesis carries out the exergy analyses using the dynamic data instead of the steady state ones. By the evaluation of these analyses together, energy level and the climatic comfort of the building have been seriously increased and the building’s loads have been decreased with ratio of 69.42% for heating system and 34.4% for cooling system after retrofitting. In exergy calculations, exergy efficiency of the system ranges between 2-14% with existing HVAC applications, 4-18% with Air Source Heat Pump (ASHP) and 8-21% with Ground Source Heat Pump (GSHP).Master Thesis Prediction of Energy Consumption of Residential Buildings by Artificial Neural Networks and Fuzzy Logic(Izmir Institute of Technology, 2012) Turhan, Cihan; Gökçen Akkurt, GüldenThere are several ways to attempt to forecast building energy consumption. Different techniques, varying from simple regression to dynamic models that are based on physical principles, can be used for simulation. A frequent hypothesis for all these models is that the input variables should be based on realistic data when they are available, otherwise the evaluation of energy consumption might be under or over estimated. The aim of this thesis is to create simple models based on artificial intelligence methods (artificial neural networks and fuzzy logic) as predicting tools and to compare these methods with a building energy performance software (KEP-IYTE ESS). Architectural projects and heat load calculation reports of 148 apartment buildings (5-13 storey) from three municipalities in Ġzmir provide the input data for the models and software. Building energy consumption is modeled as a function of zoning status, heating system type, number of floors, wall overall heat transfer coefficient, glass type, area/volume ratio, existence of insulation, total external surface area, orientation, number of flats, total external surface area/total useful area, total windows area/total external surface area, width/length, total wall area/total useful floor area, total lighting requirement/total useful floor area and total wall area. Four different artificial neural network models and one fuzzy logic model were constructed, trained, tested and the results were compared with the software outcomes. The lowest mean absolute percentage error (MAPE) and mean absolute deviation (MAD) of ANN models appeared to be 4.1% and 6.57, respectively, which shows that ANN can make accurate predictions. On the other hand, fuzzy model gave an 4.86% and 7.59 of MAPE and MAD, respectively, which can be considered as sufficient accuracy.