Skip to main content
SpringerLink
Log in

Ventilation Flow Structure and High-Precision Ventilation Network Model

  • Chapter
  • First Online:
Advanced Environmental Wind Engineering

  • 1064 Accesses

Abstract

Understanding of ventilation flow structure is important to utilize the cross-ventilation for improving indoor environment in hot and humid rooms. The pressure loss at the opening depends on the contraction of ventilation air flow and on static pressure loss consumes for the production of turbulent kinetic energy. The local dynamic similarity model (LDSM) is capable to predict the ventilation flow rate with better accuracy. LDSM has superiority over the conventional orifice flow model when discharge coefficients decreased due to changes of wind directions. A simulation study by the ventilation network model is described for performing on cooling loads in a detached house using by active operation of windows.

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

Access this chapter

Log in via an institution
eBook
USD 16.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover 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

References

  • Architectural Institute of Japan (1970) Handbook of ventilation design, vol 18. Shokokusha, Japan

    Google Scholar 

  • Architectural Institute of Japan (2009) Expanded AMEDAS weather data 1981–2000

    Google Scholar 

  • Aynsley RM (1988) A resistance approach to estimating airflow through building with large openings due to wind. ASHRAE Trans 94(Part 2):1661–1669

    Google Scholar 

  • Endo T, Kurabuchi T, Akamine Y, Ohba M, Kamata M (2009) Development of the test procedure and the database of cross-ventilation characteristics of various openings. J Environ Eng AIJ 74(646):1315–1320

    Article  Google Scholar 

  • Goto T, Ohba M, Kurabuchi T et al (2012) Investigation of the application of local dynamic similarity model to outflow openings prediction accuracy of flow rate of cross-ventilated buildings (Part 3). J Environ Eng AIJ 77(674):259–266

    Article  Google Scholar 

  • Heiselberg P (2002) Principles of hybrid ventilation. Hybrid Ventilation Centre, Aalborg University, Denmark

    Google Scholar 

  • Ishihara M (1969) Building ventilation design. Asakura Shoten, Japan

    Google Scholar 

  • Kurabuchi T, Ohba M, Arashiguchi A, Iwabuchi T (2000) Numerical study of airflow structure of a cross-ventilated model building. In: Proceedings of ROOMVENT 2000, UK, pp 313–318

    Google Scholar 

  • Kurabuchi T, Ohba M, Iwabuchi T (2002a) Verification of simulated results and streamtube analysis for normal flow angle case analysis of airflow structure of a cross-ventilated building based on large eddy simulation and wind experiment (Part 1). Environ Eng A 561:47–52

    Google Scholar 

  • Kurabuchi T, Ohba M, Fugo Y, Endo T (2002b) Local similarity model of cross-ventilation: part 1 modelling and validation. In: The 8th international conference on air distribution in rooms ‘ROOMVENT 2002’, Denmark, pp 613–616

    Google Scholar 

  • Kurabuchi T, Ohba M, Endo T, Akamine Y, Nakayama F (2004) Local dynamic similarity of cross-ventilation, part 1: theoretical framework. Int J Vent 2(4):371–382

    Google Scholar 

  • Kurabuchi T, Ohba M, Goto T, Akamine Y, Endo T, Kamata M (2005a) Local dynamic similarity concept as applied to the evaluation of discharge coefficients of cross ventilated buildings, Part 1 Basic idea and underlying wind tunnel tests; Part 2 Applicability of local dynamic similarity model; Part 3 Simplified method for estimating dynamic pressure tangential to openings of cross-ventilated buildings. Int J Vent 4(3):285–300

    Google Scholar 

  • Kurabuchi T, Ohba M, Endo T (2005b) Verification and streamtube analysis of simulated results of airflow of a cross-ventilated buildings for various wind incident angles analysis of airflow of cross-ventilated buildings based on LES and wind tunnel experiment (Part 2). J Environ Eng AIJ 591:7–13

    Google Scholar 

  • Murakami S, Mochida A, Kondo K, Ishida Y, Tsuchiya M (1996) Development of new k-ε model for flow and pressure fields around bluff body. CWE96, Colorado

    Google Scholar 

  • Nagai T (2006) Windows and HVAC operation to reduce cooling requirement by means of cross-ventilation. Int J Vent 5(1):151–162

    Google Scholar 

  • Nonaka T, Kurabuchi T, Ohba M et al (2009) Wind tunnel experiments on surface wind pressure and cross-ventilation flow rate in densely populated residential area study on proper design method of locating windows aiming at utilization of cross-ventilation in densely populated residential area (Part 1). Environ Eng AIJ 74(642):951–956

    Article  Google Scholar 

  • Ohba M, Kurabuchi T, Fugo Y, Endo T (2002) Local similarity model of cross-ventilation Part 2 Application. In: The 8th international conference on air distribution in rooms ‘ROOMVENT 2002’, Denmark, pp 617–620

    Google Scholar 

  • Ohba M, Kurabuchi T et al (2004) Local dynamic similarity of cross-ventilation, Part 2: application of local dynamic similarity model. Int J Vent 2(4):383–393

    Google Scholar 

  • Ohba M, Goto T, Kurabuchi T et al (2006) Experimental study on predicting wind-driven cross-ventilation flow rates and discharge coefficients based on the local dynamic similarity model. Int J Vent 5(1):105–114

    Google Scholar 

  • Ohba M, Kurabuchi T, Goto T et al (2008) Study on prediction of ventilation flow rates in detached house based on coupled simulation of semi-empirical envelope flow model and network model. in: Proceedings of 4th international conference on advances in wind and structures, Korea, pp 1156–1166

    Google Scholar 

  • Sandberg M (2002) Airflow through large openings – a catchment problem? In: Proceedings of ROOMVENT2002, Denmark, pp 541–544

    Google Scholar 

  • Sawachi T (2002) Detailed observation of cross ventilation and airflow through large openings by full scale building model in wind tunnel. In: The 8th international conference on air distribution in rooms ‘ROOMVENT2002’, Denmark, pp 565–568

    Google Scholar 

  • Shohda T, Sekine T (1961) Experimental study on ventilation through building openings Part1 – on pressure loss coefficient and wind pressure coefficient of openings. Trans Archit Ins Jpn 68, pp 116–120

    Google Scholar 

  • Tsukamoto K, Ohba M, Kurabuchi T, Nonaka T, Goto T (2009) Study on reduction of cooling loads in detached house by cross-ventilation using coupled simulation of semi-empirical ventilation model and network models. ROOMVENT2009, Korea, e-format

    Google Scholar 

  • Tsukamoto K, Ohba M, Kurabuchi T et al (2013) Prediction accuracy of ventilation flow rates in multiple interzones by using local similarity model and application of the model to analysis of ventilation flow rates in detached house prediction accuracy of flow rate of cross-ventilated buildings (Part 4). J Environ Eng AIJ 78(684):157–163

    Article  Google Scholar 

  • Udagawa H (1985) Typical problems for house. In: 15th heat symposium, Japan

    Google Scholar 

  • Vickery BJ, Karakatsanis C (1987) Experimental wind pressure distribution and induced internal ventilation flow in low-rise industrial and domestic structures. ASHRAE Trans 93(Part 2):2198–2213

    Google Scholar 

Download references

Acknowledgement

The author indebted to the contribution of his former students and post-doctoral fellows on the subject of this paper.

Author information

Authors and Affiliations

  1. Tokyo Polytechnic University, 1583 Iiyama, Atsugi, Kanagawa, 243-0297, Japan

    Masaaki Ohba

Authors
  1. Masaaki Ohba
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Masaaki Ohba .

Editor information

Editors and Affiliations

  1. Atsugi, Japan

    Yukio Tamura

  2. Tokyo Polytechnic University, Atsugi, Japan

    Ryuichiro Yoshie

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer Japan

About this chapter

Cite this chapter

Ohba, M. (2016). Ventilation Flow Structure and High-Precision Ventilation Network Model. In: Tamura, Y., Yoshie, R. (eds) Advanced Environmental Wind Engineering. Springer, Tokyo. https://doi.org/10.1007/978-4-431-55912-2_3

Download citation

Publish with us

Policies and ethics

Search

Navigation