DOI QR코드

DOI QR Code

An Analysis on Micro-climate Characteristic of Apartments in Beijing, China Using ENVI-met Simulation

ENVI-met를 이용한 중국 베이징 아파트 하절기 미기후 특성 분석

  • Received : 2019.04.24
  • Accepted : 2019.07.24
  • Published : 2019.08.30

Abstract

The purpose of this study was to analyze outdoor thermal comfort of apartments planning characteristic of pedestrian height in Beijing, China. Selecting 322 apartment complexes with more than 1000 households and more than 10 buildings(including 10 buildings), mainly in Chaoyang District and Tongzhou District to select 32 basic layout types and then 12 typical layout types were select in 32 basic layout types. Finally, the simulation was conducted for the 12 typical layout types using the micro-climate model ENVI-met to evaluate the wind environment, the thermal environment and the comfort. The results of this study as follows: In the parallel arrangement, it has the best outdoor thermal comfort of Slab-East-Parallel(S/E/P). Next is Slab-South-Parallel(S/S/P), Tower-South-Parallel(T/S/P) in turn. In the stagger arrangement, Mixture-South-North and South Stagger-1(M/S/NSS-1) has the best outdoor thermal comfort and Slab-South-North and South Stagger(S/S/NSS), Tower-South-North and South Stagger(T/S/NSS), Mixture-South-North and South Stagger-3(M/S/NSS-3), Mixture-South-North and South Stagger-4(M/S/NSS-4), Mixture-South-North and South Stagger-2(M/S/NSS-2) in turn. In the cluster arrangement, Mixture-Mixture-Cluster-2(M/M/C-2) has the best outdoor thermal comfort and Mixture-Mixture-Cluster-3(M/M/C-3), Mixture-Mixture-Cluster-1(M/M/C-1) in turn. Due to the low wind speed and high air temperature, it is necessary to consider the layout types that can form the wind road at first, such as Mixture-South-North and South Stagger-1(M/S/NSS-1), Slab-South-North and South Stagger(S/S/NSS) and so on.

Keywords

Acknowledgement

Supported by : 한국연구재단

References

  1. Zhu, J. J., Dong, S. R., Nie, X. Q., & Zhang, H. (2006). Urban Residential Areas Planning & Design. 2nd., Beijing, China Architecture & Building Press, 10-51.
  2. Lee, B. H., Lee, G. W., & Yeo, Y. H. (2010). Comparative Study of Environmental Sustainability in Basic Community Planning for Multiple Stock Housing based on Lay-out Types, Journal of the Architectural Institute of Korea Planning & Design, 26(10), 271-282.
  3. Zhang, Z. W. (2015). A Study of Public Rental Housing Policy Changes in China and Future Tasks -Focused on Beijing City-, Thesis, Kangwan University, 28-53.
  4. Kim, J. K., Jung, E. H., Kim, D. W., Ryu, J. W., & Cha, J. G. (2008). A Study on the Microclimate Improvement of an Apartment Complex Using the ENVI-met Model, Journal of The Korean Housing Association, 297-302.
  5. Choi, Y. J., & Song, D. S. (2006). A Study on Wind Environmental Characteristics with the Arrangement Changes in Multi-residential Building Block, Journal of Korea Institute of Architectural Sustainable Environment and Building Systems, 271-276.
  6. Yoon, S. H., & Jeong, S. Y. (2009). Predictive Evaluation of Outdoor Thermal Environment in Summer of Apartment Housing According to Building Types and Site Planning Types, Journal of the Architectural Institute of Korea Planning & Design, 25(9), 321-328.
  7. Hu, S., Yan, D., & Cui, Y. (2015). Influence of Building Space Form on the Energy Consumption of Residential Buildings. Building Science, 31(10), 117-123. https://doi.org/10.13614/j.cnki.11-1962/tu.2015.10.20
  8. Toparlar, Y., Blocken, B., Maiheu, B., & Heijst, G. J. F. (2017). A Review on the CFD Analysis of Urban Microclimate. Renewable and Sustainable Energy Reviews, 30, 1613-1640.
  9. Roth, M., & Lim, V. H. (2017). Evaluation of Canopy-layer Air and Mean Radiant Temperature Simulations by a Microclimate Model over a Tropical Residential Neighbourhood. Building and Environment, 112, 177-189. https://doi.org/10.1016/j.buildenv.2016.11.026
  10. Tong, S. S., Wong, N. H., Tan, C. L., Jusuf, S. K., Ignatius, M., & Tan, E. (2017). Impact of Urban Morphology on Microclimate and Thermal Comfort in Northern China. Solar Energy, 155, 212-223. https://doi.org/10.1016/j.solener.2017.06.027
  11. Li, X. H., Hu, D., Han, F. S., & Zhou, H. X. (2017). The Impact of Architectural Form on Micro-meteorology in High Residential Community. Ecological Science, 36(1), 178-185.
  12. Zhao, Q. S., Sailor, D. J., & Wentz, E. A. (2018). Impact of Tree Locations and Arrangements on Outdoor Micro-climates and Human Thermal Comfort in an Urban Residential Environment. Urban Forestry & Urban Greening, 32, 81-91. https://doi.org/10.1016/j.ufug.2018.03.022
  13. Li, X. H., Hu D., Han F. S., & Zhou, H. X. (2017). The impact of architectural form on micrometeorology in high residential community. Ecological Science, 36(1), 178-185.
  14. Ministry of Housing and Urban-Rural Development of the People's Republic of China (2002). Code of urban Residential Areas Planning & Design, 1-17.
  15. Ministry of Housing and Urban-Rural Development of the People's Republic of China (2014). Standard for Weather Data of Building Energy Efficiency, 10-11.
  16. National Bureau of Statistics of the People's Republic of China (2017). China Real Estate Statistics Yearbook, 40-42.