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Outdoor thermal environment for different urban forms under summer conditions

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  • Building Thermal, Lighting, and Acoustics Modeling
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Abstract

The present work investigated the outdoor thermal environment for different urban forms under the summer conditions of Sendai, Japan and Guangzhou, China. Sendai has a moderate humid subtropical climate, whereas Guangzhou has a humid subtropical climate. Numerical simulations were performed with a coupled simulation method of convection, radiation, and conduction. A cubic non-linear k–ε model proposed by Craft et al. was selected as the turbulence model and three-dimensional multireflections of shortwave and longwave radiations were considered in the radiation simulation. Seven urban forms (the ratios of building distance to building height were 0.24, 0.36, 0.48, 0.71, 0.95, 1.19, and 1.43.) were studied. The openness and compactness of the urban forms were compared by developing a new assessment system. The following results were obtained. (1) The distributions of wind velocity around the buildings became polarized as building distance decreased, and the proportion of low wind velocity grew large. These conditions mainly caused poor ventilation and thermal discomfort. (2) The cooling effects of building shade became increasingly significant as building distance decreased because of the low level of exposure to strong sunshine in compact forms. (3) Safe outdoor thermal conditions (standard effective temperature ≤37 °C) can be partially achieved in Sendai by decreasing building distance, whereas the same could not be achieved in Guangzhou. Further countermeasures are essential in Guangzhou.

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References

  • Akasaka H, et al. (2005). Extended AMeDAS Weather DATA 1981–2000. Kagoshima Technology Licensing Organization. (in Japanese)

    Google Scholar 

  • Ali-Toudert F, Mayer H (2006). Numerical study on the effects of aspect ratio and orientation of an urban street canyon on outdoor thermal comfort in hot and dry climate. Building and Environment, 41: 94–108.

    Article  Google Scholar 

  • Architectural Institute of Japan (2004). Recommendations on Loads for Buildings. (in Japanese)

    Google Scholar 

  • Architectural Institute of Japan (2007). Guidebook for practical applications of CFD to pedestrian wind environment around buildings. Available at http://www.aij.or.jp/jpn/publish/cfdguide/index_e.htm.

    Google Scholar 

  • Arnfield AJ (1990). Street design and urban canyon solar access. Energy and Buildings, 14: 117–131.

    Article  Google Scholar 

  • Blazejczyk K, Epstein Y, Jendritzky G, Staiger H, Tinz B (2012). Comparison of UTCI to selected thermal indices. International Journal of Biometeorology, 56: 515–535.

    Article  Google Scholar 

  • Butera FM (1998). Chapter 3—Principles of thermal comfort. Renewable and Sustainable Energy Reviews, 2: 39–66.

    Article  Google Scholar 

  • Bourbia F, Awbi HB (2004). Building cluster and shading in urban canyon for hot dry climate: Part 2: Shading simulations. Renewable Energy, 29: 291–301.

    Article  Google Scholar 

  • CD adapco Group (2004). Chapter 6: Turbulent flow boundary conditions. In: STAR-CD Version 3.2 Methodology.

    Google Scholar 

  • Chan CK, Yao X (2008). Air pollution in mega cities in China—A review. Atmospheric Environment, 42: 1–42.

    Article  Google Scholar 

  • Chen B, Shi G, Dai T, Shen Y, Wang B, Yang S, Zhao J (2011). Climate forcing due to anthropogenic heat release over China. Climatic and Environmental Research, 16: 717–722. (in Chinese)

    Google Scholar 

  • Chen H, Ooka R, Harayama K, Kato S, Li X (2004). Study on outdoor thermal environment of apartment block in Shenzhen, China with coupled simulation of convection, radiation and conduction. Energy and Buildings, 36: 1247–1258.

    Article  Google Scholar 

  • Climatic Data Center of China Meteorological Administration, Tsinghua University (2005). Meteorological Data Set for China Building Thermal Environment Analysis. Beijing: China Architecture and Building Press. (in Chinese)

    Google Scholar 

  • Craft TJ, Launder BE, Suga K (1996). Development and application of a cubic eddy-viscosity model of turbulence. International Journal of Heat and Fluid Flow, 17: 108–115.

    Article  Google Scholar 

  • Fanger PO (1972). Thermal Comfort. New York: McGraw-Hill.

    Google Scholar 

  • de Dear RJ, Spagnolo JC (2002). Thermal comfort outdoors. In: Proceedings of 10th International Conference on Environmental Ergonomics (ICEE), Fukuoka, Japan.

    Google Scholar 

  • Fiala D, Lomas KJ, Stohrer M (1999). A computer model of human thermoregulation for a wide range of environmental conditions: The passive system. Journal of Applied Physiology, 87: 1957–1972.

    Google Scholar 

  • Fiala D, Lomas KJ, Stohrer M (2001). Computer prediction of human thermoregulatory and temperature responses to a wide range of environmental conditions. International Journal of Biometeorology, 45: 143–159.

    Article  Google Scholar 

  • Fiala D, Lomas KJ, Stohrer M (2003). First principles modelling of thermal sensation responses in steady state and transient boundary conditions. ASHRAE Transactions, 109(1): 179–186.

    Google Scholar 

  • Gagge AP, Stolwijk JAJ, Nishi Y (1971). An effective temperature scale based on a simple model of human physiological regulatory response. ASHRAE Transactions, 77(1): 247–262.

    Google Scholar 

  • Gagge AP, Fobelets AP, Berglund PE (1986). A standard predictive index of human response to the thermal environment. ASHRAE Transactions, 92(2): 709–731.

    Google Scholar 

  • Gebhart B (1959). A new method for calculating radiant exchanges. ASHRAE Transactions, 65(1): 321–332.

    Google Scholar 

  • Hagishima A, Tanimoto J, Nagayama K, Meno S (2009). Aerodynamic parameters of regular arrays of rectangular blocks with various geometries. Boundary-Layer Meteorology, 132: 315–337.

    Article  Google Scholar 

  • Hardy JD (1970). Thermal comfort and health. Paper presented at 2nd Human Factors Symposium, ASHRAE Semiannual Meeting, San Francisco, USA.

    Google Scholar 

  • Höppe P (1999). The physiological equivalent temperature—A universal index for the biometeorological assessment of the thermal environment. International Journal of Biometeorology, 43: 71–75.

    Article  Google Scholar 

  • Howell JR, Perlmutter M (1964). Monte Carlo solution of thermal transfer through radiant media between gray walls. Journal of Heat Transfer, 86: 116–122.

    Article  Google Scholar 

  • Huang H, Ooka R, Kato S (2005). Urban thermal environment measurements and numerical simulation for an actual complex urban area covering a large district heating and cooling system in summer. Atmospheric Environment, 39: 6362–6375.

    Article  Google Scholar 

  • Hwanga R-L, Lin T-P, Matzarakis A (2011). Seasonal effects of urban street shading on long-term outdoor thermal comfort. Building and Environment, 46: 863–870.

    Article  Google Scholar 

  • Ichinose T, Shimodozono K, Hanaki K (1999). Impact of anthropogenic heat on urban climate in Tokyo. Atmospheric Environment, 33: 3897–3909.

    Article  Google Scholar 

  • Johansson E (2006). Influence of urban geometry on outdoor thermal comfort in a hot dry climate: A study in Fez, Morocco. Building and Environment, 41: 1326–1338.

    Article  Google Scholar 

  • Johansson E, Emmanuel R (2006). The influence of urban design on outdoor thermal comfort in the hot, humid city of Colombo, Sri Lanka. International Journal of Biometeorology, 51: 119–133.

    Article  Google Scholar 

  • Kato S, Hiyama K (2012). Ventilating Cities—Air-flow Criteria for Healthy and Comfortable Urban Living. Heidelberg: Springer.

    Google Scholar 

  • Kubota T, Miura M, Ahmad S, Tominaga Y, Mochida A (2008a). Planning methods of residential neighborhoods for achieving acceptable wind environment under local climate conditions: A comparison of Japanese and Malaysian cases. In: Proceedings of 4th International Conference on Advances in Wind and Structures, Jeju, Korea, pp.1608–1616.

    Google Scholar 

  • Kubota T, Miura M, Tominaga Y, Mochida A (2008b). Wind tunnel tests on the relationship between building density and pedestrianlevel wind velocity: Development of guidelines for realizing acceptable wind environment in residential neighborhoods. Building and Environment, 43: 1699–1708.

    Article  Google Scholar 

  • Li BZ, Luo Q, Yao RM (2006). Solution on configuration factor from ground to sky. Journal of Chongqing University (Natural Science Edition), 29(2): 86–89. (in Chinese)

    Google Scholar 

  • Lien FS, Chen WL, Leschziner MA (1996). Low-Reynolds-number eddyviscosity modeling based on non-linear stress–strain/vorticity relations. In: Proceedings of 3rd Symposium on Engineering Turbulence Modeling and Measurement, Heraklion crete, Greece.

    Google Scholar 

  • Mochida A, Yoshino H, Miyauchi S, Mitamura T (2006). Total analysis of cooling effects of cross-ventilation affected by microclimate around a building. Solar Energy, 80: 371–382.

    Article  Google Scholar 

  • Murakami S, Morikawa Y (1985). Criteria for assessing wind-induced discomfort considering temperature effect. Transactions of AIJ, Journal of Architecture and Planning, 358: 9–17. (in Japanese)

    Google Scholar 

  • Nakamura Y (1987). Expression method of the radiant filed on a human body in buildings and urban space. Transactions of AIJ, Journal of Architecture and Planning, 376: 29–35. (in Japanese with English abstract).

    Google Scholar 

  • Ng E (2009). Policies and technical guidelines for urban planning of high-density cities—Air ventilation assessment (AVA) of Hong Kong. Building and Environment, 44: 1478–1488.

    Article  Google Scholar 

  • Oikawa Y (2011). The urban heat island effect in Japan’s major cities. TCC News (Tokyo Climate Center, Japan Meteorological Agency), 25: 1–2.

    Google Scholar 

  • Oke TR (1988). Street design and urban canopy layer climate. Energy and Buildings, 11: 103–113.

    Article  Google Scholar 

  • Omori T, Yang J, Kato S, Murakami S (2003). Radiative heat transfer analysis method for coupled simulation of convection and radiation in large-scale and complicated enclosures, Part 1, accurate radiative heat transfer analysis based on Monte Carlo Method. Transactions of the Society of Heating, Air-Conditioning and Sanitary Engineers of Japan, 88: 103–113. (in Japanese)

    Google Scholar 

  • Ooyama N, Kubota T, Miura M, Mochida A, Tominaga Y (2002). A study on the literature concerning the measurements on a surface temperature in the exterior space: A study on the creation technique and its availability of the living environmental map at a district scale based on a cooperation with self-governing body part 5. In: Summaries of Technical Papers of Annual Meeting Architectural Institute of Japan, D-1: 899–900. (in Japanese)

    Google Scholar 

  • Pickup J, de Dear RJ (2000). An outdoor thermal comfort index (OUT-SET*)— Part The model and its assumptions. In: de Dear R, Kalma J, Oke T, Auliciems A (eds), Turn of the Millennium—Selected Papers from the Conference ICB-ICUC’99, Sydney, Australia, pp. 279–283.

    Google Scholar 

  • Raisee M, Naeimi H, Alizadeh M, Iacovides H (2009). Prediction of flow and heat transfer through stationary and rotating ribbed ducts using a non-linear k-e model. Flow, Turbulence and Combustion, 82: 121–153.

    Article  Google Scholar 

  • Richards M, Havenith G (2007). Progress towards the final UTCI model. In: Proceedings of 12th International Conference on Environmental Ergonomics, Ljubljana, Slovenia, pp.521–524.

    Google Scholar 

  • Sasaki K, Mochida A, Yoshino H, Watanabe H, Yoshida T (2008). A new method to select appropriate countermeasures against heatisland effects according to the regional characteristics of heat balance mechanism. Journal of Wind Engineering and Industrial Aerodynamics, 96: 1629–1639.

    Article  Google Scholar 

  • Sasaki K, Mayer H, Mochida A, Uchida M, Tonouchi T (2009). Field measurement of thermal comfort in outdoor locations—Comparison of SET* and PET based on questionnaire survey. In: Proceedings of 7th International Conference on Urban Climate, Yokohama, Japan.

    Google Scholar 

  • South China University of Technology (2008). DUTE 1.0 (Design Tool for Urban Residential Area Thermal Environment, Registration number: 2008SR12279).

    Google Scholar 

  • Spagnolo J, de Dear RJ (2003). A field study of thermal comfort in outdoor and semi-outdoor environments in subtropical Sydney, Australia. Building and Environment, 38: 721–738.

    Article  Google Scholar 

  • Suga K (2003). RANS turbulence modeling for engineering applications. Journal of Japan Society of Computational Fluid Dynamics, 11(2): 73–80. (in Japanese)

    Google Scholar 

  • Suga K (2007). Development of a k–e model incorporating a cubic eddy-viscosity formulation. NAGARE (Flow), 26: 157–160. (in Japanese)

    Google Scholar 

  • Tominaga Y, Mochida A, Yoshie R, Kataoka H, Nozu T, Yoshikawa M, Shirasawa T (2008). AIJ guidelines for practical applications of CFD to pedestrian wind environment around buildings. Journal of Wind Engineering and Industrial Aerodynamics, 96: 1749–1761.

    Article  Google Scholar 

  • VDI (2005). Environmental meteorology—Prognostic microscale wind field models—Evaluation for flow around buildings and obstacles, VDI 3783, Part 9.

    Google Scholar 

  • Wang W-C, Zeng Z, Karl TR (1990). Urban heat islands in China. Geophysical Research Letters, 17: 2377–2380.

    Article  Google Scholar 

  • Yoshida S, Murakami S, Ooka R, Mochida A, Tominaga Y (2000). CFD prediction of thermal comfort in microscale wind climate. In: Proceedings of 3rd International Symposium on Computational Wind Engineering, Birmingham, UK, pp.27–30.

    Google Scholar 

  • Yahia MW, Johansson E (2013). Influence of urban planning regulations on the microclimate in a hot dry climate: The example of Damascus, Syria. Journal of Housing and the Built Environment, 28: 51–65.

    Article  Google Scholar 

  • Yoshie R, Mochida A, Tominaga Y, Kataoka H, Harimoto K, Nozu T, Shirasawa T (2007). Cooperative project for CFD prediction of pedestrian wind environment in the Architectural Institute of Japan. Journal of Wind Engineering and Industrial Aerodynamics, 95: 1551–1578.

    Article  Google Scholar 

  • Yoshie R, Tanaka H, Shirasawa T (2008). Experimental study on air ventilation in a built-up area with closely-packed high-rise buildings. In: Proceedings of 4th International Conference on Advances in Wind and Structures, Jeju, Korea, pp.1657–1666.

    Google Scholar 

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Correspondence to Yingli Xuan.

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Xuan, Y., Yang, G., Li, Q. et al. Outdoor thermal environment for different urban forms under summer conditions. Build. Simul. 9, 281–296 (2016). https://doi.org/10.1007/s12273-016-0274-7

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  • DOI: https://doi.org/10.1007/s12273-016-0274-7

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