4.7 Article

A reasonable distribution of natural landscape: Utilizing green space and water bodies to reduce residential building carbon emissions

期刊

ENERGY AND BUILDINGS
卷 267, 期 -, 页码 -

出版社

ELSEVIER SCIENCE SA
DOI: 10.1016/j.enbuild.2022.112150

关键词

Residential building; Energy consumption; Carbon emissions; Green space; Water bodies

资金

  1. Special Fund of Social Science Research of Sichuan Agricultural University [2121993518]

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This paper investigates the influence of green space (GS) and water bodies (WB) on reducing building carbon emissions. Simulating the building's micro-climate and analyzing social survey data, the study finds that water bodies have a more significant regulating effect on reducing carbon emissions compared to green space. Additionally, the ratio of area between GS and WB has different effects on carbon reduction in different seasons. These findings provide benchmark information for landscape planning and building energy conservation in the future.
The rapid urban construction has made urban residential buildings become the main source of greenhouse gas emissions. So far, the existing studies on the impact of urban micro-climate on building energy carbon emissions have shown that green space (GS) and water bodies (WB) play positive roles in regulating outdoor thermal environment and reducing building energy consumption. Accordingly, this paper quantitatively explores the influence of the interaction between GS and WB on reducing building carbon emissions. First, the building's micro-climate is simulated by Computational Fluid Dynamics (CFD) to obtain outdoor thermal environment indexes, which are used as inputting data to calculate carbon emissions by software HDY-SMAD. Then, we utilize Geographic Information System (GIS) and Remote Sensing (RS) techniques to explore the natural surroundings of buildings, such as GS and WB distribution within the administrative scope of Dujiangyan. Next, the linear regression method is applied to analyze the relationship between GS, WB, and residential building carbon emissions, in which the residential carbon emissions data is obtained by social survey. Finally, the simulation results are verified by empirical research method. The findings demonstrate that the GS and WB have area, accessibility and seasonal differences in regulating local thermal environment and reducing building carbon emissions, and the overall regulation ability of WB for micro-climate is more significant than that of GS. In addition, the ratio area between GS and WB has the most significant influence on reducing building carbon emissions when it is 3:1 in winter, but this optimal ratio is 1:2 in summer. These conclusions can provide benchmark information for landscape planning and building energy conservation in the future. (c) 2022 Elsevier B.V. All rights reserved.

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