CFD Simulations to Study the Cooling Effects of Different Greening Modifications
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CFD Simulations to Study the Cooling Effects of Different Greening Modifications

Authors: An-Shik Yang, Chih-Yung Wen, Chiang-Ho Cheng, Yu-Hsuan Juan

Abstract:

The objective of this study is to conduct computational fluid dynamic (CFD) simulations for evaluating the cooling efficacy from vegetation implanted in a public park in the Taipei, Taiwan. To probe the impacts of park renewal by means of adding three pavilions and supplementary green areas on urban microclimates, the simulated results have revealed that the park having a higher percentage of green coverage ratio (GCR) tended to experience a better cooling effect. These findings can be used to explore the effects of different greening modifications on urban environments for achieving an effective thermal comfort in urban public spaces.

Keywords: CFD simulations, green coverage ratio, urban heat island, urban public park.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1107033

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References:


[1] E. Ng, L. Chen, Y. Wang, C. Yuan, A study on the cooling effects of greening in a high-density city: An experience from Hong Kong, Building and Environment, 47 (2012), 256-271.
[2] A.H. Rosenfeld, H. Akbari, S. Bretz, B.L. Fishman, D.M. Kurn, D. Sailor, H. Taha, Mitigation of urban heat islands: Materials, utility programs, updates. Journal of Energy and Buildings, 22 (1995) 255–265.
[3] H. Taha, Urban climates and heat islands: albedo, evapotranspiration, and anthropogenic heat, Energy and Buildings, 25 (1997) 99-103.
[4] M. Bruse, H. Fleer, Simulating surface–plant–air interactions inside urban environments with a three dimensional numerical model, Environmental Modelling & Software, 13 (1998) 373-384.
[5] A.Dimoudi, M. Nikolopoulou, Vegetation in the urban environment: microclimatic analysis and benefits, Energy and Buildings, 35 (2003) 69-76.
[6] E. Alexandri, P. Jones, Temperature decreases in an urban canyon due to green walls and green roofs in diverse climates, Building and Environment, 43 (2008) 4810-493.
[7] D. Fröhlich, A. Matzarakis , Modeling of changes in thermal bioclimate: examples based on urban spaces in Freiburg, Germany. Theoretical and Applied Climatology. 111 (2013) 547-558.
[8] B. Vidrih, S. Medved, Multiparametric model of urban park cooling island, Urban Forestry & Urban Greening, 12 (2013) 220-229.
[9] M. Srivanit, K. Hokao, Evaluating the cooling effects of greening for improving the outdoor thermal environment at an institutional campus in the summer, Building and Environment, 66 (2013) 158-172.
[10] H. T. Lin, K. P. Lee, K. T. Chen, L. J. Lin, H. C. Kuo, T. C. Chen, Experimental analyses of urban heat island effects of the four metropolitan cities in Taiwan (I) - The comparison of the heat island intensities between Taiwan and the world cities, Journal of Architecture, 31(1999) 51-73.
[11] M. Z.I. Bangalee, J. J. Miau, S. Y. Lin, J. H. Yang, Flow visualization, PIV measurement and CFD calculation for fluid-driven natural cross-ventilation in a scale model, Energy and Buildings, 66 (2013) 306-314.
[12] T. H. Shin, W. W. Liou, A. Shabbir, Z. Yang, J. Zhu, A new k-ε eddy viscosity model for high Reynolds number turbulent flows, Computers Fluids, 24 (1995) 227-238.
[13] P. Karava, C. M. Jubayer, E. Savory, Numerical modelling of forced convective heat transfer from the inclined windward roof of an isolated low-rise building with application to photovoltaic/thermal systems, Applied Thermal Engineering, 31 (2011) 1950-1963.
[14] M. Robitu, M. Musy, C. Inard, D. Groleau, Modeling the influence of vegetation and water pond on urban microclimate, Solar Energy, 80 (2006) 435-447.
[15] ANSYS Inc., ANSYS FLUENT 14.0 user’s guide. ANSYS, Inc. United States, 2011.
[16] H. Barden, Simulationsmodell für den Wasser-, Energie- und Stoffhaushalt in Pflanzenbeständen., Hannover, Inst. für Meteorologie u. Klimatologie d. Univ, 1982.
[17] Harrison RM. Understanding our environment: an introduction to environmental chemistry and pollution. Royal Society of Chemistry, Cambridge, UK; 1992.
[18] Blocken B, Carmeliet J, Stathopoulos T. CFD evaluation of wind speed conditions in passages between parallel buildings—effect of wall-function roughness modifications for the atmospheric boundary layer flow. J Wind Eng Ind Aerod 2007; 95:941-962.
[19] Richards PJ. Computational modelling of wind flows around low rise buildings using PHOENIX. Report for the ARFC Institute of Engineering Research Wrest Park, Bedfordshire, UK; 1989.
[20] Wieringa J. Updating the Davenport roughness classification. J Wind Eng Ind Aerod 1992; 41:357-368.
[21] Chen WF. Handbook of structural engineering. CRC Press, Boca Raton, Fla.; 1997.
[22] Hargreaves DM, Wright NG. On the use of the k– model in commercial CFD software to model the neutral atmospheric boundary layer. J Wind Eng Ind Aerod 2007;95:355-369.
[23] Fidaros DK, Baxevanou CA, Bartzanas T, Kittas C. Numerical simulation of thermal behavior of a ventilated arc greenhouse during a solar day. Renew Energ 2010;35:1380-1386.
[24] Palyvos JA. A survey of wind convection coefficient correlations for building envelope energy systems’ modeling. Appl Therm Eng 2008; 28:801-808.
[25] Van Doormaal JP, Raithby GD. Enhancement of the SIMPLE Method for Predicting Incompressible Fluid Flows. Numer Heat Tr. 1984;7:147-163.