energy performance analysis of adnan menderes international airport

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different orientation scenarios are given in chapter four. In the last chapter, important findings are presented as conclusions. Building Energy Performance Studies in the World The most important issue is how to evaluate and estimate the energy demand of a building, especially the building which have air conditioning systems. There are lots of variations in a building as follows; the climate conditions, occupant population’s fluctuations, occupation schedule and the internal loads. Because of these variations, energy consumption calculations are difficult to evaluate. Following paragraphs contain some studies about building energy performance to get better understanding the complexities of the subject. The study of Yik et al. (2001) was a good example for simulation of commercial buildings and hotels. Their studies provided a simple model to predict the energy consumption for 23 commercial buildings and 16 hotels. Three programs were used for simulating the buildings: one for cooling load simulation, one for detailed building heat transfer simulation and one for air conditioning system simulation. The authors used the energy and cooling load profiles provided by the detailed simulation programs to feed a simpler model based on the normalized cooling load profiles related to the gross floor area of the buildings studied in their research. The results show a very good correlation (average deviations of 2% between detailed simulation programs and proposed model). It should be pointed out that this methodology is based on the evaluation of energy and cooling load profiles calculated by detailed simulation programs and calibrated by actual energy consumption profiles. The study of Gugliermetti et al. (2004) was important because of indicating the important role of climate data aspects on forecasting the energy consumption in office buildings. They showed the use of a typical month day instead of annual weather tape can induce an over or under estimation of the building energy profiles. In the study of Qinglin and Zhuolun (2007), Sanya Airport was simulated and it was an example for design of aviation building. Mechanical fans in different plans was used to simulate the potential of natural ventilation and air modulation of Sanya in summer by the computational fluid dynamics (CDF) software PHOENICS. Consequently, it is concluded that the wide usage of air modulation by mechanical fans 6
in tropical zones can lead to lower energy consumption under the same indoor thermal comfort Computers with software packages have presented great opportunities to calculate the building energy performance. Over the past 50 years, hundreds of building energy programs have been developed, enhanced and now they are in use. Softwares are differ from their calculation method and following subtitles include example of the studies made by these programs. Another commercial software called eQuest is another simulation software tool and Zhu (2006) was used it in order to create a virtual environment in the operation of the HVAC system and the lighting of the facility. In this study, they explored the capabilities and limitations of a simulation tool called eQuest to perform energy evaluation of an office building. According to the author this tool can provide important insights for the designer about the impact of different strategies for reducing energy consumption. The main negative point of eQuest is that this kind of tool requires detailed information on the building constructive aspects, as well as its occupancy, lighting and equipment operation schedules. In building energy performance studies especially in acedemic studies' TRNSYS was used widely. TRNSYS was developed at the Solar Energy Laboratory at the University of Wisconsin in the mid-1970s for analysis of active solar heating and cooling systems. In literature Balaras`s studies have been expected as the most comprehensive studies for airport buildings simulations. The study of 29 Helenic airports done by Balaras et al. (2003) evaluates current energy consumption and the potential for energy conservation. Three majors Helenic airports located at different climatic zones were selected for detailed studies. Detailed analysis was obtained from measurements by using thermal simulations. Potential energy savings were between 15 to 35% for these three airports, while improving and maintaining indoor environmental quality. A large public building located in Shanghai have been simulated by Pan et al. (2009). EnergyPlus, DOE-2.1 and TRYSYS were compared based on their capabilities and advantages as a whole building energy analysis tool. It was understood from this study that large public buildings should take into account of the complicated system composition and operation strategies in order to achieve an accurate evaluation of building performance. This study is an evidence to bring out the capability of EnergyPlus. 7
Page 1 and 2: ENERGY PERFORMANCE ANALYSIS OF ADNA
Page 3 and 4: ACKNOWLEDGMENTS I would also like t
Page 5 and 6: ÖZET ADNAN MENDERES HAVAALANI DIŞ
Page 7 and 8: APPENDICES APPENDIX A. DATA TEMPLAT
Page 9 and 10: Figure 4.5. Heat Gain from Surface
Page 11 and 12: CHAPTER 1 INTRODUCTION The world en
Page 13 and 14: The amount of energy actually consu
Page 15: Many physical aspects of heat trans
Page 19 and 20: 2.1. General Information CHAPTER 2
Page 21 and 22: Figure 2.3. Comparison of Monthly A
Page 23 and 24: Figure 2.5. HVAC System Equipment(C
Page 25 and 26: ADM building uses the central heati
Page 27 and 28: 3.1. Measurements and Real Data CHA
Page 29 and 30: The total number of AHU is 71 and F
Page 31 and 32: developers to add new simulation mo
Page 33 and 34: mathematically speaking, we can for
Page 35 and 36: 3.4. Modelling Thermal simulation o
Page 37 and 38: Assumptions The assumptions are mad
Page 39 and 40: 4. Internal gain caused by office e
Page 41 and 42: 3.5. EnergyPlus Data Options Energy
Page 43 and 44: CHAPTER 4 RESULTS AND DISCUSSION Th
Page 45 and 46: Figure 4.2. Fanger PMV for Each Flo
Page 47 and 48: Figure 4.5. Heat Gain from Surface
Page 49 and 50: provided during day time. Figure 4.
Page 51 and 52: Figure 4.11 Heat Gain and Loss From
Page 53 and 54: Figure 4.14. Fanger PMV. 4.3. Simul
Page 55 and 56: Figure 4.17. Cooling Delivery of Eq
Page 57 and 58: Figure 4.19 Fuel Breakdowns for Dif
Page 59 and 60: CHAPTER 5 CONCLUSION Nowadays decre
Page 61 and 62: Ozturk H.K. 2005. Future Projection
Page 63 and 64: APPENDIX B DATA TEMPLATES FOR HVAC
Page 65: APPENDIX D DATA TEMPLATES FOR CONST

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