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Research Article

Wind-driven ventilation improvement with plan typology alteration: A CFD case study of traditional Turkish architecture

Yusuf Cihat Aydin, Parham A. Mirzaei( )
Architecture and Built Environment Department, The University of Nottingham, University Park, Nottingham, NG7 2RD, UK
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Abstract

Aligned with achieving the goal of net-zero buildings, the implementation of energy-saving techniques in minimizing energy demands is proving more vital than at any time. As practical and economic options, passive strategies in ventilation developed over thousands of years have shown great potential for the reduction of residential energy demands, which are often underestimated in modern building’s construction. In particular, as a cost-effective passive strategy, wind-driven ventilation via windows has huge potential in the enhancement of the indoor air quality (IAQ) of buildings while simultaneously reducing their cooling load. This study aims to investigate the functionality and applicability of a common historical Turkish architectural element called "Cumba" to improve the wind-driven ventilation in modern buildings. A case study building with an archetypal plan and parameters was defined as a result of a survey over 111 existing traditional samples across Turkey. Buildings with and without Cumba were compared in different scenarios by the development of a validated CFD microclimate model. The results of simulations clearly demonstrate that Cumba can enhance the room’s ventilation rate by more than two times while harvesting wind from different directions. It was also found that a flexible window opening strategy can help to increase the mean ventilation rate by 276%. Moreover, the room’s mean air velocity and ventilation rate could be adjusted to a broad range of values with the existence of Cumba. Thus, this study presents important findings about the importance of plan typology in the effectiveness of wind-driven ventilation strategies in modern dwellings.

Keywords

computational fluid dynamics (CFD)ventilationwind-driventraditionalTurkish architectureCumba

References

 
ZT Ai, CM Mak (2014). A study of interunit dispersion around multistory buildings with single-sided ventilation under different wind directions. Atmospheric Environment, 88: 1–13.
Crossref Google Scholar
 
C Allocca, Q Chen, LR Glicksman (2003). Design analysis of single-sided natural ventilation. Energy and Buildings, 35: 785–795.
Crossref Google Scholar
 
C Arseven (1983). Sanat Ansiklopedisi. Istanbul: Milli egitim bakanlıgı.
 
MZI Bangalee, SY Lin, JJ Miau (2012). Wind driven natural ventilation through multiple windows of a building: A computational approach. Energy and Buildings, 45: 317–325.
Crossref Google Scholar
 
B Blocken, T van Hooff, L Aanen, B Bronsema (2011). Computational analysis of the performance of a venturi-shaped roof for natural ventilation: Venturi-effect versus wind-blocking effect. Computers and Fluids, 48: 202–213.
Crossref Google Scholar
 
R Cantin, J Burgholzer, G Guarracino, B Moujalled, S Tamelikecht, BG Royet (2010). Field assessment of thermal behaviour of historical dwellings in France. Building and Environment, 45: 473–484.
Crossref Google Scholar
 
C-R Chu, B-F Chiang (2014). Wind-driven cross ventilation in long buildings. Building and Environment, 80: 150–158.
Crossref Google Scholar
 
C-R Chu, Y-H Chiu, Y-T Tsai, S-L Wu (2015). Wind-driven natural ventilation for buildings with two openings on the same external wall. Energy and Buildings, 108: 365–372.
Crossref Google Scholar
 
C-R Chu, B-F Chiang (2013). Wind-driven cross ventilation with internal obstacles. Energy and Buildings, 67: 201–209.
Crossref Google Scholar
 
AS Dili, MA Naseer, T Zacharia Varghese (2011). Passive control methods for a comfortable indoor environment: Comparative investigation of traditional and modern architecture of Kerala in summer. Energy and Buildings, 43: 653–664.
Crossref Google Scholar
 
SH Eldem (1986). Turkish Houses Ottoman Period. Turkey: Türkiye anıt cevre turizm değerlerini koruma vakfı (T.A.C).
 
G Evola, V Popov (2006). Computational analysis of wind driven natural ventilation in buildings. Energy and Buildings, 38: 491–501.
Crossref Google Scholar
 
KG Gebremedhin, BX Wu (2003). Characterization of flow field in a ventilated space and simulation of heat exchange between cows and their environment. Journal of Thermal Biology, 28: 301–319.
Crossref Google Scholar
 
R Günay (1998). Türk ev gelenegi ve Safranbolu evleri. Istanbul: Yapı endüstri merkezi (YEM).
 
F Haghighat, PA Mirzaei (2011). Impact of non-uniform urban surface temperature on pollution dispersion in urban areas. Building Simulation, 4: 227–244.
Crossref Google Scholar
 
LG Harriman, JW Lstiburek (2009). The ASHRAE Guide for Buildings in Hot and Hummid Climates, 2dn edn. Atlanta: American Society of Heating, Refrigerating, and Air-Conditioning Engineers.
 
P Heiselberg, K Svidt, PV Nielsen (2001). Characteristics of airflow from open windows. Building and Environment, 36: 859–869.
Crossref Google Scholar
 
JM Horan, DP Finn (2008). Sensitivity of air change rates in a naturally ventilated atrium space subject to variations in external wind speed and direction. Energy and Buildings, 40: 1577–1585.
Crossref Google Scholar
 
CH Hu, M Ohba, R Yoshie (2008). CFD modelling of unsteady cross ventilation flows using LES. Journal of Wind Engineering and Industrial Aerodynamics, 96: 1692–1706.
Crossref Google Scholar
 
IPPC/CC (2014). Climate Change 2014 Synthesis report Summary for polcymakes Report of the Intergovermental Panel on Climate Change.
 
IUG-MI (2016). Istanbul universitesi fen fakultesi, astronomi ve uzay bilimleri bolumu. Istanbul universitesi gozlemevi metroroloji istasyonu. Available at http://astronomi.istanbul.edu.tr/meteor.
 
Y Jiang, D Alexander, H Jenkins, R Arthur, Q Chen (2003). Natural ventilation in buildings: Measurement in a wind tunnel and numerical simulation with large-eddy simulation, 91: 331–353.
Crossref
 
Y Jiang, C Allocca, Q Chen (2004). Validation of CFD simulations for natural ventilation. International Journal of Ventilation, 2: 359–370.
Crossref Google Scholar
 
P Karava, T Stathopoulos, AK Athienitis (2011). Airflow assessment in cross-ventilated buildings with operable facade elements. Building and Environment, 46: 266–279.
Crossref Google Scholar
 
JI Kindangen (1997). Window and roof configurations for comfort ventilation. Building Research & Information, 25: 218–225.
Crossref Google Scholar
 
J Kindangen, G Krauss, P Depecker (1997). Effects of roof shapes on wind-induced air motion inside buildings. Building and Environment, 32: 1–11.
Crossref Google Scholar
 
T Kobayashi, T Chikamoto, K Osada (2013). Evaluation of ventilation performance of monitor roof in residential area based on simplified estimation and CFD analysis. Building and Environment, 63: 20–30.
Crossref Google Scholar
 
T Kobayashi, M Sandberg, H Kotani, L Claesson (2010). Experimental investigation and CFD analysis of cross-ventilated flow through single room detached house model. Building and Environment, 45: 2723–2734.
Crossref Google Scholar
 
Ö Küçükerman (2007). Turkish House in Search of Spatial Identity, 6th edn. Turkey: Türkiye Turing ve Otomobil Kurumu.
 
HK Lai, M Kendall, H Ferrier, I Lindup, S Alm, et al. (2004). Personal exposures and microenvironment concentrations of PM2.5, VOC, NO2 and CO in Oxford, UK. Atmospheric Environment, 38: 6399–6410.
Crossref Google Scholar
 
FC McQuiston, JD Parker, JD Spitler (2005). Heating, Ventilating and Air Conditioning Analysis and Design, 6th edn. New York: John Wiley & Sons.
 
PA Mirzaei (2015). Recent challenges in modeling of urban heat island. Sustainable Cities and Society, 19: 200–206.
Crossref Google Scholar
 
PA Mirzaei, J Carmeliet (2013). Dynamical computational fluid dynamics modeling of the stochastic wind for application of urban studies. Building and Environment, 70: 161–170.
Crossref Google Scholar
 
PA Mirzaei, F Haghighat (2010a). A novel approach to enhance outdoor air quality: Pedestrian ventilation system. Building and Environment, 45: 1582–1593.
Crossref Google Scholar
 
PA Mirzaei, F Haghighat (2010b). Approaches to study Urban Heat Island—Abilities and limitations. Building and Environment, 45: 2192–2201.
Crossref Google Scholar
 
A Mochida, H Yoshino, S Miyauchi, T Mitamura (2006). Total analysis of cooling effects of cross-ventilation affected by microclimate around a building. Solar Energy, 80: 371–382.
Crossref Google Scholar
 
NASA/GCC (2016). NASA Global Climate Change Cital Signs of the Planet. NASA/GCC. Available at http://climate.nasa.gov/vital-signs/global-temperature.
 
NF (2016). Naturalfrequency—ECOTECT. Available at http://wiki.naturalfrequency.com/wiki/Air_Movement.
 
T Norton, J Grant, R Fallon, DW Sun (2009). Assessing the ventilation effectiveness of naturally ventilated livestock buildings under wind dominated conditions using computational fluid dynamics. Biosystems Engineering, 103: 78–99.
Crossref Google Scholar
 
JI Perén, T van Hooff, BCC Leite, B Blocken (2015a). CFD analysis of cross-ventilation of a generic isolated building with asymmetric opening positions: Impact of roof angle and opening location. Building and Environment, 85: 263–276.
Crossref Google Scholar
 
JI Perén, T van Hooff, BCC Leite, B Blocken (2015b). Impact of eaves on cross-ventilation of a generic isolated leeward sawtooth roof building: Windward eaves, leeward eaves and eaves inclination. Building and Environment, 92: 578–590.
Crossref Google Scholar
 
JI Perén, T van Hooff, R Ramponi, B Blocken, BCC Leite (2015c). Impact of roof geometry of an isolated leeward sawtooth roof building on cross-ventilation: Straight, concave, hybrid or convex? Journal of Wind Engineering and Industrial Aerodynamics, 145: 102–114.
Crossref Google Scholar
 
R Ramponi, B Blocken (2012). CFD simulation of cross-ventilation for a generic isolated building: Impact of computational parameters. Building and Environment, 53: 34–48.
Crossref Google Scholar
 
O Saadatian, LC Haw, K Sopian, MY Sulaiman (2012). Review of windcatcher technologies. Renewable and Sustainable Energy Reviews, 16: 1477–1495.
Crossref Google Scholar
 
DGL Samuel, SMS Nagendra,, MP Maiya (2013). Passive alternatives to mechanical air conditioning of building: A review. Building and Environment, 66: 54–64.
Crossref Google Scholar
 
H Talya (2007). Gelenksel Turk mimarisinde yapı sistem ve elemanları. Istanbul: urkiye Anıt Cevre Turizm Degerlerini Koruma Vakfı (TAC).
 
R Teppner, B Langensteiner, W Meile, G Brenn, S Kerschbaumer (2014). Air change rates driven by the flow around and through a building storey with fully open or tilted windows: An experimental and numerical study. Energy and Buildings, 76: 640–653.
Crossref Google Scholar
 
Y Tominaga, A Mochida, R Yoshie, H Kataoka, T Nozu, M Yoshikawa, T Shirasawa (2008). AIJ guidelines for practical applications of CFD to pedestrian wind environment around buildings. Journal of Wind Engineering and Industrial Aerodynamics, 96: 1749–1761.
Crossref Google Scholar
 
R Torfs, KD Brouwere, M Spruyt, E Goelen, M Nickmilder, A Bernard (2008). Exposure and risk assessment of air fresheners. VITO, Document No 2008/IMS/R/222.
 
S Vardoulakis, C Dimitroulopoulou, J Thornes, K-M Lai, J Taylor, et al. (2015). Impact of climate change on the domestic indoor environment and associated health risks in the UK. Environment International, 85: 299–313.
Crossref Google Scholar
 
WB (2015). Weatherbase. Available at http://www.weatherbase.com.
 
WEC/WERS (2013). World Energy Council World Energy Resources 2013 Survey Summary. London.
 
WEC/WES-2050 (2013). World Energy Council World Energy Scenarios Composing Energy Futures to 2050. London.
 
OV Wilhelmi, KL Purvis, RC Harriss (2004). Designing a Geospatial Information Infrastructure for Mitigation of Heat Wave Hazards in Urban Areas. Natural Hazards Review, 5: 147–158.
Crossref Google Scholar
Building Simulation
Volume 10 Issue 2,
April 2017
Pages 239-254
DOI: 10.1007/s12273-016-0321-4
Cite this article:
Aydin YC, Mirzaei PA. Wind-driven ventilation improvement with plan typology alteration: A CFD case study of traditional Turkish architecture. Building Simulation, 2017, 10(2): 239-254. https://doi.org/10.1007/s12273-016-0321-4

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Received: 08 April 2016
Revised: 02 August 2016
Accepted: 04 August 2016
Published: 15 September 2016
© Tsinghua University Press and Springer-Verlag Berlin Heidelberg 2016
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