Skip to main content
SpringerLink
Log in

Comparative Study of Positioning of Air Conditioner in a Room Using CFD

  • Conference paper
  • First Online:
Advances in Air Conditioning and Refrigeration

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

  • 702 Accesses

Abstract

This paper has presented a comparative study of the positioning of an air conditioner in a room using computational fluid dynamics (CFD) simulations. Four different positions namely lower, middle, upper half of wall, and centre of the roof have been studied during this research work, and effect on different thermos-fluid characteristics has been evaluated for these positions. A comparative analysis of these effects has been presented. Considering the overall thermo-fluid flow performance, the current study suggests mounting position at the upper half of the wall as the most suitable among the positions considered.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Huang Y, Shen X, Li J, Li B, Duan R, Lin C, Liu J, Chen Q (2015) A method to optimize sampling locations for measuring indoor air distributions. Atmos Environ 102:355–365

    Article  Google Scholar 

  2. Huang C, Lee J, Yu W, Yu W (2011) Study of the temperature flow field change by air-conditioning system in an indoor circular stadium. In: Proceedings of the 2011 international conference on consumer electronics, communications and networks (CECNet), pp 3568–3571, Xianning, China, (2011)

    Google Scholar 

  3. Gao CF, Lee WL (2009) Optimized design of floor-based air-conditioners for residential use. Build Environ 44(10):2080–2088

    Google Scholar 

  4. Karlsson JF, Moshfegh B (2005) Investigation of indoor climate and power usage in a data center. Energy Build 37(10):1075–1083

    Article  Google Scholar 

  5. Cho J, Lim T, Kim BS (2009) Measurements and predictions of the air distribution systems in high compute density (Internet) data centers. Energy Build 41(10):1107–1115

    Article  Google Scholar 

  6. Yang L, Ye M, He BJ (2014) CFD simulation research on residential indoor air quality. Sci Total Environ 472:1137–1144

    Google Scholar 

  7. Cehlin M, Karimipanh T, Larsson U (2014) Unsteady CFD simulations for prediction of airflow close to a supply device for displacement ventilation. In: Proceedings of the 13th international conference on indoor air quality and climate, IndoorAir 2014, pp 47–54, Hong Kong

    Google Scholar 

  8. Li K, Xue W, Xu C, Su H (2013) Optimization of ventilation system operation in office environment using POD model reduction and genetic algorithm. Energy Build 67:34–43

    Google Scholar 

  9. Qi R, Lu L (2014) Energy consumption and optimization of internally cooled/heated liquid desiccant air-conditioning system: a case study in Hong Kong. Energy 73:801–808

    Article  Google Scholar 

  10. Cui X, Chua KJ, Yang WM (2014) Numerical simulation of a novel energy-efficient dew-point evaporative air cooler. Appl Energy 136:979–988

    Article  Google Scholar 

  11. Cehlin M, Taghi K, Ulf L (2014) Unsteady CFD simulations for prediction of airflow close to a supply device for displacement ventilation. In 13th International Conference on Indoor Air Quality and Climate, Indoor Air 2014, 7–12 July 2014, Hong Kong, pp 47–54

    Google Scholar 

  12. Wang D, Zhang Z, Han L, Li L (2011) Numerical simulation on air conditioning system and flow field of passenger compartment of type—a subway. Pain 152(6):1317–1326

    Article  Google Scholar 

  13. Ascione F, Bellia L, Capozzoli A (2013) A coupled numerical approach on museum air conditioning: energy and fluid dynamic analysis. Appl Energy 103:416–427

    Article  Google Scholar 

  14. Norton T, Grant J, Fallon R, Sun D-W (2009) Assessing the ventilation effectiveness of naturally ventilated livestock buildings under wind dominated conditions using computational fluid dynamics. Biosys Eng 103(1):78–99

    Article  Google Scholar 

  15. Yang Li, Ye Miao (2014) CFD simulation research on residential indoor air quality. Sci Total Environ 472:1137–1144

    Article  Google Scholar 

  16. Li B, Liu J, Luo F, Man X (2015) Evaluation of CFD simulation using various turbulence models for wind pressure on buildings based on wind tunnel experiments. In: Proceedingsof the 9th international symposium on heating, ventilation and air conditioning, ISHVAC 2015 Joint with the 3rd international conference on building energy and environment, COBEE 2015, pp 2209–2216, China

    Google Scholar 

  17. Fariborz H, Cherif MA (1996) A comprehensive validation of two airflow models—COMIS and CONTAM. Indoor Air 6(4):278–288

    Article  Google Scholar 

  18. Madyira DM, Muaaz B (2010) Comparative study of the performance of displacement vs conventional ventilation using CFD. In: Proceedings of the Third IASTED African Conference, pp 056–149 (2010)

    Google Scholar 

  19. Chen Q (1995) Comparison of different k-models for indoor air flow computations. Numer Heat Transf Part B: Fundam 28(3):353–369

    Article  Google Scholar 

  20. Shrivastava S, Sammakia B, Schmidt R, Iyengar M (2009) Comparative analysis of different data center airflow management configurations. In ASME 2005 pacific rim technical conference and exhibition on integration and packaging of MEMS, NEMS, and electronic systems collocated with the ASME 2005 heat transfer summer conference, pp 329–336. American Society of Mechanical Engineers Digital Collection (2009)

    Google Scholar 

  21. Li Y, Nielsen PV (2011) Commemorating 20 years of Indoor Air: CFD and ventilation research. Indoor Air 21(6):442–453

    Article  Google Scholar 

  22. Zhai ZJ, Zhang Z, Zhang W, Chen QY (2007) Evaluation of various turbulence models in predicting airflow and turbulence in enclosed environments by CFD: Part 1-summary of prevalent turbulence models. HVAC&R Res 13(6):853–870

    Article  Google Scholar 

  23. Zhang Z, Zhang W, Zhai ZJ, Chen QY (2007) Evaluation of various turbulence models in predicting airflow and turbulence in enclosed environments by CFD: Part 2-comparison with experimental data from literature. HVAC&R Res 13(6):871–886

    Article  Google Scholar 

  24. Yao Q, Bai H, Kwan TH, Kase K (2018) A parametric study and optimization of an air conditioning system for a heat-loaded room. Mathematical Problems in Engineering, Hindawi, Article ID 2385691, 10p, https://doi.org/10.1155/2018/2385691

Download references

Author information

Authors and Affiliations

  1. Department of Mechanical Engineering, CGU-Odisha (Formerly C. V. Raman College of Engineering), Bhubaneswar, 752054, Odisha, India

    Manoj Kumar Gopaliya, Madhu Kalyan Reddy Pulagam & Neha Kumari

Authors
  1. Manoj Kumar Gopaliya
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Madhu Kalyan Reddy Pulagam
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Neha Kumari
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Manoj Kumar Gopaliya .

Editor information

Editors and Affiliations

  1. Mechanical Engineering Department, Indian Institute of Technology Kharagpur, Kharagpur, India

    Maddali Ramgopal

  2. Mechanical Engineering Department, C. V. Raman College of Engineering, Bhubaneswar, India

    Sachindra Kumar Rout

  3. School of Mechanical Sciences, Indian Institute of Technology, Bhubaneswar, India

    Sunil Kr Sarangi

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Gopaliya, M.K., Reddy Pulagam, M.K., Kumari, N. (2021). Comparative Study of Positioning of Air Conditioner in a Room Using CFD. In: Ramgopal, M., Rout, S.K., Sarangi, S.K. (eds) Advances in Air Conditioning and Refrigeration. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-15-6360-7_15

Download citation

  • DOI: https://doi.org/10.1007/978-981-15-6360-7_15

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-6359-1

  • Online ISBN: 978-981-15-6360-7

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation