energy performance analysis of adnan menderes international airport

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determined with large margins. The electrical lighting consumption (i.e. energy gain) is standardized and based on W/m 2 parameter (according to ASHRAE). Moreover, all these depend on users’ habit. Also, ADM airport was constructed for 5.000.000 people/year, however it highly underused. On account of all these, the difference between measured and simulation consumption values are greater more than 70% as shown in Figure 4.18. This gap is not related with the calculation model but rather it depends on the input data. Moreover, the difference should be based on the calculation algorithm of software. On the other hand this enormous difference in some way indicates the potential of energy conservation available. Figure 4.18. Simulation and Measured Electricity Consumption. Figure 4.19 and table 4.1 show the results of the evaluation. Table 4.1 includes three data series by month. The first is the series of measured data collected from electricity bills of ADM building. The second and third series include data generated from the simulation model. 46
Figure 4.19 Fuel Breakdowns for Different Scenarios Table 4.1. Electricity Consumption by Different Scenarios. Measured and simulated electricity consumptiion - kWh x 1000 Month January February March April May Actual 1690 1048 1007 1017 1597 1827 2050 2350 1816 1437 1297 1128 Simulation 165 154 211 221 283 316 337 374 284 239 167 162 Direct Expansion 489 461 616 653 835 937 1003 1117 853 715 504 494 When it is checked the daily results for four months (September, October, November, and December), it is seen that measured and simulation values on September and October conflict each other. However, the values on November and December are seen almost parallel as shown in Figure 4.20. June July August September October November December 47
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ENERGY PERFORMANCE ANALYSIS OF ADNA
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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 and 16: Many physical aspects of heat trans
Page 17 and 18: in tropical zones can lead to lower
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: Figure 4.17. Cooling Delivery of Eq
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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