4.7 Article

Building energy demand of urban blocks in Xi'an, China: Impacts of high-rises and vertical meteorological pattern

期刊

BUILDING AND ENVIRONMENT
卷 244, 期 -, 页码 -

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.buildenv.2023.110749

关键词

Urban form; Urban climate; Building energy demand; Vertical meteorological pattern

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This study observed the vertical meteorological pattern (VMP) in urban areas of Xi'an, China, and predicted the impacts of VMP on the heating and cooling energy demands of different urban blocks using a building energy simulation model. The results showed that VMP significantly affected the energy demands of buildings and the relationship between urban block form and energy demand.
High-rise buildings have been promoted in high-density cities. The impact degree of urban high-rises on the building energy demand at the urban block scale is determined by many factors, including the effects of the vertical meteorological pattern (VMP), which have been discussed insufficiently. In this study, the VMP of urban areas in Xi'an, China was observed, and a building energy simulation model that revealed the urban block form-outdoor climate-building energy nexus was developed with the URBANopt plugin on the Grasshopper platform. The impacts of the VMP on the building heating and cooling energy demands of different urban blocks were then predicted. In January, the VMP led to building heating load increases of 0.7-1.6 kWh/m2 (16-52%) and 0.0-1.1 kWh/m2 (0-35%) in the residential and mixed-use blocks, respectively. In July, the ranges of the building cooling load changes produced by the effects of the VMP were 0.0-0.1 kWh/m2 (0-1%) and 0.3-0.2 kWh/m2 (-2%) in the residential and mixed-use blocks, respectively. Furthermore, the VMP affected the relationship between the urban block form and the building energy demand. Based on the relationship, we provided form-optimization advice for different functional urban blocks. The urban high-rise mechanisms in high-density cities and their impacts on the building energy demand were discovered in this study. This can help decision makers to optimize urban planning while promoting urban sustainability.

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