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Building Simulation

, Volume 12, Issue 3, pp 411–424 | Cite as

Performance-driven optimization of urban open space configuration in the cold-winter and hot-summer region of China

  • Xiaodong XuEmail author
  • Yifan Wu
  • Wei Wang
  • Tianzhen HongEmail author
  • Ning Xu
Research Article

Abstract

Urbanization has led to changes in urban morphology and climate, while urban open space has become an important ecological factor for evaluating the performance of urban development. This study presents an optimization approach using computational performance simulation. With a genetic algorithm using the Grasshopper tool, this study analyzed the layout and configuration of urban open space and its impact on the urban micro-climate under summer and winter conditions. The outdoor mean Universal Thermal Climate Index (UTCI) was applied as the performance indicator for evaluating the quality of the urban micro-climate. Two cases—one testbed and one real urban block in Nanjing, China—were used to validate the computer-aided simulation process. The optimization results in the testbed showed UTCI values varied from 36.5 to 37.3 °C in summer and from −4.9 to −1.9 °C in winter. In the case of the real urban block, optimization results show, for summer, although the average UTCI value increased by 0.6 °C, the average air velocity increased by 0.2 m/s; while in winter, the average UTCI value increased by 1.7 °C and the average air velocity decreased by 0.2 m/s. These results demonstrate that the proposed computer-aided optimization process can improve the thermal comfort conditions of open space in urban blocks. Finally, this study discusses strategies and guidelines for the layout design of urban open space to improve urban environment comfort.

Keywords

performance-driven optimization urban open space layout universal thermal climate index urban design cold winter and hot summer climate 

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Notes

Acknowledgements

The work described in this study was sponsored by the projects of the National Natural Science Foundation of China (NSFC#51678127), the National Scientific and Technological Support during the 12th Five-Year Plan Period (No. 2013BAJ10B13), and China Scholarship Council (CSC#201706095035). Any opinions, findings, conclusions, or recommendations expressed in this study are those of the authors and do not necessarily reflect the views of the National Scientific and Technological Support committee and NSFC. This work was also supported by the Assistant Secretary for Energy Efficiency and Renewable Energy, the U.S. Department of Energy under Contract No. DEAC02-05CH11231.

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Copyright information

© This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply 2019

Authors and Affiliations

  1. 1.School of ArchitectureSoutheast UniversityNanjingChina
  2. 2.Building Technology and Urban Systems DivisionLawrence Berkeley National LaboratoryBerkeleyUSA

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