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논문 상세정보

Energy performance of direct expansion air handling unit in office buildings

Energy and buildings v.77 , 2014년, pp.425 - 431  

Buildings and their occupants generate a large amount of carbon emissions. In Korea, buildings contribute to about 30% of the total greenhouse gases emissions, and the proportion has been rapidly increasing to the level of the developed counties (i.e., more than 40% of the total emissions. A direct expansion air handling unit, of which a refrigerant is directly delivered to the heating and cooling, has a potential to save cooling and heating energy use, compared to water-based central air conditioning systems. The aim of this study is to compare heating and cooling energy uses of an identical office building but with different air conditioning systems, i.e. direct expansion and water-based air conditioning systems. Dynamic building energy simulations that reflect the actual use of a monitored building and its air handling unit operation have been conducted in this study. Simulation results show good agreement with the actual energy consumption obtained from the field measurements of the building. Our study quantifies the amount of cooling and heating energy uses saved by a direct expansion air handing unit and reveals reasons for this savings, i.e. higher energy efficiency of the unit and reduction in pump and fan energy demands.


참고문헌 (25)

  1. 1. Automation in Construction Korjenic 23 64 2012 10.1016/j.autcon.2012.01.001 Validation and evaluation of total energy use in office buildings: a case study 
  2. 2. Indoor and Built Environment Yun 22 235 2013 10.1177/1420326X12470298 Energy-saving potential of LED lighting systems 
  3. 3. Energy and Buildings Yun 46 152 2012 10.1016/j.enbuild.2011.10.034 Effects of occupancy and lighting use patterns on lighting energy consumption 
  4. 4. Energy and Buildings Bagheri 61 116 2013 10.1016/j.enbuild.2013.02.022 Developing energy performance label for office buildings in Iran 
  5. 5. Energy and Buildings Kusiak 60 355 2013 10.1016/j.enbuild.2013.02.006 Minimizing energy consumption of an air handling unit with a computational intelligence approach 
  6. 6. Energy and Buildings Yun 46 146 2012 10.1016/j.enbuild.2011.10.035 A field survey of visual comfort and lighting energy consumption in open plan offices 
  7. 7. Energy and Buildings Jain 64 408 2013 10.1016/j.enbuild.2013.05.011 Investigating the impact eco-feedback information representation has on building occupant energy consumption behavior and savings 
  8. 8. Energy and Buildings Meester 57 313 2013 10.1016/j.enbuild.2012.11.005 Impacts of occupant behaviours on residential heating consumption for detached houses in a temperature climate in the northern part of Europe 
  9. 9. Energy and Buildings Park 50 19 2012 10.1016/j.enbuild.2012.03.015 A field study of occupant behavior and energy consumption in apartments with mechanical ventilation 
  10. 10. Indoor and Built Environment Yun 21 109 2012 10.1177/1420326X11420012 Thermal and non-thermal stimuli for the use of windows in offices 
  11. 11. Indoor and Built Environment Yun 21 41 2012 10.1177/1420326X11419929 The effect of seasons and prevailing environments on adaptive comfort temperatures in open plan offices 
  12. 12. Applied Thermal Engineering Guo 35 29 2012 10.1016/j.applthermaleng.2011.09.032 A techno-economic comparison of a direct expansion ground-source and a secondary loop ground-coupled heat pump system for cooling in a residential building 
  13. 13. Applied Energy Li 91 290 2012 10.1016/j.apenergy.2011.09.037 Dynamic modeling and control of a direct expansion air conditioning system using artificial neural network 
  14. 14. Remund 2010 Meteonorm Version 6.0 Handbook 
  15. 15. Building and Environment Li 42 1 2007 10.1016/j.buildenv.2005.08.021 An experimental study on the inherent operational characteristics of a direct expansion (DX) air conditioning (A/C) unit 
  16. 16. Building and Environment Liu 46 409 2011 10.1016/j.buildenv.2010.08.002 A rapid calibration procedure and case study for simplified simulation models of commonly used HVAC systems 
  17. 17. Energy and Buildings Heo 47 550 2012 10.1016/j.enbuild.2011.12.029 Calibration of building energy models for retrofit analysis under uncertainty 
  18. 18. Energy and Buildings Ryan 47 375 2012 10.1016/j.enbuild.2011.12.020 Validation of building energy modelling tools under idealized and realistic conditions 
  19. 19. Energy and Buildings Pan 39 651 2007 10.1016/j.enbuild.2006.09.013 Calibrated building energy simulation and its application in a high-rise commercial building in Shanghai 
  20. 20. ASHRAE Transactions Agami Reddy 112 226 2006 Literature review on calibration of building energy simulation programs: uses, problems, procedures, uncertainty, and tools 
  21. 21. Building and Environment Gugliermetti 39 39 2004 10.1016/S0360-1323(03)00138-0 Climate models for the assessment of office buildings energy performance 
  22. 22. Energy and Buildings Norford 21 121 1994 10.1016/0378-7788(94)90005-1 Two-to-one discrepancy between measured and predicted performance of a low-energy office building: insights from a reconciliation based on the DOE-2 model 
  23. 23. Energy and Buildings Virote 53 183 2012 10.1016/j.enbuild.2012.06.001 Stochastic models for building energy prediction based on occupant behaviour assessment 
  24. 24. Energy and Buildings Guerra Santin 41 1223 2009 10.1016/j.enbuild.2009.07.002 The effect of occupancy and building characteristics on energy use for space and water heating in Dutch residential stock 
  25. 25. Baker 2000 Energy and Environment in Architecture: A Technical Design Guide 

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