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Thermal Science - Online First

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Study on thermodynamic functions of traditional building windows based on characters

The indoor light environment of the building has an extremely important influence on its own use function, and there are many factors that affect the indoor light environment of the building, such as the surrounding environment of the building, the interior decoration of the building, and the design of the window. The window is used as the building envelope. An important part of the structure is responsible for lighting and ventilation to meet the requirements of the indoor environment. It exists as a lighting device for the building. The lighting performance of the windows not only meets people's requirements for living comfort, but also consumes energy in the building. It will have a very important impact. A variety of window shapes start from different functional needs. The comprehensive use of these window shapes by traditional buildings together creates its unique thermodynamic function. This article analyzes cold regions based on the analysis method of thermodynamic functions. Solar heat gain from traditional building windows.
PAPER REVISED: 2020-06-30
PAPER ACCEPTED: 2020-07-13
  1. Xiong, Z. J, and Mai, H., Analysis on the thermodynamic function of windows in traditional buildings in Lingnan area . Shanxi Architecture, 10 (2015), pp. 194-196.
  2. Mao, Y. L., Evaluation of the thermodynamic time constant of buildings . Business Management, 17 (2019), pp. 345-345.
  3. He, Y. et al., Strategies for improving the lighting quality of public building spaces: application research on advanced lighting window systems and materials . New Construction, 4 (2019), pp. 75-79.
  4. Xu, J., Effects of different shading forms of south-facing windows on indoor lighting in Xi'an . Energy Efficiency in Buildings, 6 (2016), pp. 61-64.
  5. Li, Z. L., and Qin, C. C., Significant analysis of factors affecting building daylighting based on orthogonal experiment . Architecture Technology, 46 (2015) 11, pp.1002-1005.
  6. Boscarino, G., and Moallem, M., Daylighting Control and Simulation for LED-based Energy-efficient Lighting Systems. IEEE Transactions on Industrial Informatics, 12 (2016),1, pp.301-309.
  7. Lavin, C., Fiorito, F. Optimization of an External Perforated Screen for Improved Daylighting and Thermal Performance of an Office Space . Procedia Engineering, 180 (2017), pp. 571-581.
  8. Flourentzou, F. et al., Design and performance of controlled natural ventilation in school gymnasiums. International Journal of Ventilation, 16 (2016), 2, pp.1-12.
  9. Pham K. et al., Appraisal of the Visual Environment in an Industrial Factory: a Case Study in Subtropical Climates. Journal of Daylighting, 3 (2016), 2, pp.12-26.
  10. Lucia D. V. et al., Indoor daylight simulation performed on automatically generated as-built 3D models. Energy & Buildings, 68 (2014), 1, pp.54-62.
  11. Theodorson, J. Energy, Daylighting, and a Role for Interiors. Journal of Interior Design, 39 (2014), 2, pp.37-56.
  12. Voll, S., A method of optimizing fenestration design for daylighting to reduce heating and pp.cooling loads in offices. Journal of Civil Engineering and Management, 20 (2014),5, pp.714-723.
  13. Feng W. G., The important role of architectural glass in energy-saving plastic doors and windows . Doors and Windows,4 (2014), pp. 34-38.
  14. Guan, J. J. et al., The role of natural lighting in shaping the atmosphere of buildings . Huazhong Architecture, 10, (2014), pp. 51-55.
  15. Manzan M. and Padovan R. Multi-criteria energy and daylighting optimization for an office with fixed and moveable shading devices. Advances in Building Energy Research, 9 (2015),2, pp.238-252.
  16. Roshan M. and Barau A S., Assessing Anidolic Daylighting System for Efficient Daylight in Open Plan Office in the Tropics. Journal of Building Engineering, 8 (2016), pp.58-69.
  17. Kousalyadevi, G.,and Lavanya, G., Optimal investigation of daylighting and energy efficiency in industrial building using energy-efficient velux daylighting simulation. Journal of Asian Architecture and Building Engineering, 1 (2019), pp.1-14.
  18. Masiokas, S. V. P., The Influence of Room's Daylighting on the Contrast of Diffuse Screen Image. Finante - provocarile viitorului (Finance - Challenges of the Future), 52 (2015), 9, pp. 9-10.
  19. Pitts, J F. A New Methodology for Successful Daylighting Design. Architectural Record, 203 (2015), 11, pp.234-235.
  20. Ladislav K, and Kocifaj M. Statistical cloud coverage as determined from sunshine duration: a model applicable in daylighting and solar energy forecasting. Journal of Atmospheric and Solar-Terrestrial Physics, 2016, 150:1-8.
  21. Cui S. et al., A global modelling approach of natural ventilation with acoustic and daylighting constraints. International Journal of Ventilation, 15 (2016),3-4, pp.233-252.
  22. Nezamdoost, A., and Wymelenberg, K. V. D. A daylighting field study using human feedback and simulations to test and improve recently adopted annual daylight performance metrics. Journal of Building Performance Simulation, 10 (2017), 1, pp.1-13.
  23. Real time progress management: Re-engineering processes for cloud-based BIM in construction. Automation in Construction, 58 (2015), pp.38-47.
  24. Johansson, M. et al., Real-time visualization of building information models (BIM). Automation in Construction, 54 (2015), pp. 69-82.
  25. Song, S. et al., Development of a BIM-based structural framework optimization and simulation system for building construction. Computers in Industry,63 (2012), 9, pp.895-912.