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Thermal Science - Online First

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Effects of glazing design and infiltration rate on energy consumption and thermal comfort in residential buildings

The building envelope is the most affecting part in the energy interaction between the buildings and the surrounding. Proper design of the envelope components not only can save the required energy for the building but also can improve the thermal comfort of its occupants. In this research, energy modeling and simulation for a residential building in Amman, Jordan is performed to investigate the effects of glazing design and infiltration rate on energy consumption and thermal comfort. Different design alternatives have been investigated to find the best alternative design to reduce energy use and improve indoor environment. The results showed that replacing single glazing window with double glazing window Argon-filled with low emissivity coating can save the consumed energy by 24.7% while degrade the thermal comfort by 1%. Reducing the infiltration rate by 50% can save 19.4% of the energy consumed and improves the thermal comfort by 10%.
PAPER REVISED: 2018-01-31
PAPER ACCEPTED: 2018-02-06
  1. Liu Yang, et al, Thermal comfort and building energy consumption implications - A review, Applied Energy, 115 (2014), pp. 164-173
  2. Xiwang Li and Jin Wen, Review of building energy modeling for control and operation, Renewable and Sustainable Energy Reviews, 37 (2014), pp. 517-537
  3. Abraham Mwasha, et al, Modeling the performance of residential building envelope: The role of sustainable energy performance indicators, Energy and Buildings,43 (2011), pp. 2108-2177
  4. Hassan Ali, et al, Key design features of multi glazed windows: A Review, Thermal Science, 21 (2017), 6, pp. 2673 - 2687
  5. Suresh B. Sadineni, et al, Passive building energy savings: A review of building envelope components, Renewable and Sustainable Energy Reviews,15 (2011), pp. 3617-3631
  6. Ya Feng, Thermal design standards for energy efficiency of residential buildings in hot summer/cold winter zones, Energy and Buildings, 36 (2004), 12, pp. 1309-1312
  7. J. Morrissey and R.E. Horne, Life cycle cost implications of energy efficiency measures in new residential buildings, Energy and Buildings,43 (2011), pp. 915-924
  8. Nikoofard S., Ugursal I., Beausoleil-Morrison I., Effect of window modifications on household energy requirement for heating and cooling in Canada, Proceedings of eSim 2012: The Canadian Conference on Building Simulation, Halifax, Canada, 2012
  9. Moorjani V. and Asadi S., Assessing the Effects of Glazing Type on Optimum Dimension of Windows in Office Buildings, 50th ASC Annual International Conference Proceedings, the Associated Schools of Construction , 2014
  10. Emmerich S. and Persily A., Energy Impacts of Infiltration and Ventilation in U.S. Office Buildings Using Multizone Air Flow Simulation, Proceeding of IAQ and Energy 98 Conference, New Orleans, USA, 1998, pp. 198-203
  11. Ministry of Energy and Mineral Resources "MEMR", Energy Facts and Figures 2016, Amman, Jordan, 2016
  12. Awwad, R. and Sakhrieh, A., Investment Potentials of Conversion to Energy Efficient Buildings in the Housing Sector in Jordan, International Conference on Renewable Energy and its Future in the Arab World 2013, Amman, Jordan, 2013
  13. Jaber, S. and Ajib, S., Optimum, technical and energy efficiency design of residential building in Mediterranean region, Energy and Buildings, 43 (2011), pp. 1829-1834
  14. Ministry of Public Work and Housing, Jordan National Building Codes "JNBC", Amman, Jordan, 2009
  15. Ministry of Public Work and Housing2, Thermal Insulation Code for Buildings, Amman, Jordan, 2009
  16. Ministry of Energy and Mineral Resources "MEMR", Energy Consumption in Residential Buildings in Jordan for 2012 Survey, Amman, Jordan, 2013
  17. TRNSYS software help (2000), Solar Energy Laboratory, University of Wisconsin-Madison.
  18. Daniel Coakley, et al, A review of methods to match building energy simulation models to measured data, Renewable and Sustainable Energy Reviews, 37 (2014), pp. 123-141
  19. Monien, et al, Comparison of building modeling assumptions and methods for urban scale heat demand forecasting, Future Cities and Environment, 3 (2017)
  20. Fanger, P. Thermal Comfort: Analysis and applications in environmental engineering, McGraw-Hill, 1970