A Community Information Model and Wind Environment Parametric Simulation System for Old Urban Area Microclimate Optimization: A Case Study of Dongshi Town, China
In the context of an increasingly extreme climate, Urban Heat Island (UHI) mitigation of communities through ventilation has recently attracted more attention. To explore the impact mechanisms of different morphological renovation schemes on its wind and thermal environment, this paper selected the...
Main Authors: | , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2024-03-01
|
Series: | Buildings |
Subjects: | |
Online Access: | https://www.mdpi.com/2075-5309/14/3/832 |
_version_ | 1797241713557766144 |
---|---|
author | Yanyan Huang Ruixin Tu Wutikeer Tuerxun Xudong Jia Xu Zhang Xiaokang Chen |
author_facet | Yanyan Huang Ruixin Tu Wutikeer Tuerxun Xudong Jia Xu Zhang Xiaokang Chen |
author_sort | Yanyan Huang |
collection | DOAJ |
description | In the context of an increasingly extreme climate, Urban Heat Island (UHI) mitigation of communities through ventilation has recently attracted more attention. To explore the impact mechanisms of different morphological renovation schemes on its wind and thermal environment, this paper selected the Laozheng Community as a case study and: (1) analyzed measured data to quantitatively investigate the UHI within the community; (2) established the CIM-WTEPS system to construct community information models and to conduct wind environment parametric simulation for seven micro-renovation schemes across three levels; (3) performed correlation analyses between morphology indicators and wind environment indicators; (4) conducted the thermal environment parametric simulation of the community under different schemes. The results reveal that: (1) the Laozheng Community exhibits the Urban Heat Island Intensity (UHII) of up to 6 °C; (2) apart from the “ Hollowing “ scheme, which deteriorates the community wind environment, all other schemes optimize it, potentially increasing the average wind speed by up to 0.03m/s and in the renovated area by up to 0.42 m/s; (3) building density is highly correlated with the average wind speed and the proportion of calm wind area, with correlation coefficients of −0.916 (<i>p</i> < 0.01) and 0.894 (<i>p</i> < 0.01), respectively; (4) the adding of shading facilities can enhance the proportion of areas with lower Universal Thermal Climate Index (UTCI) without adversely affecting the optimization effects of the wind environment, achieving an maximum increase of 3.1%. This study provides a reference for optimizing the community’s microclimate through morphological micro-renovations and detailed operations, aiding designers in better controlling community morphology for in future community renewal and design planning, thereby creating a more hospitable outdoor environment. |
first_indexed | 2024-04-24T18:27:42Z |
format | Article |
id | doaj.art-2e6e58392c334d8f972d8a16067a70a9 |
institution | Directory Open Access Journal |
issn | 2075-5309 |
language | English |
last_indexed | 2024-04-24T18:27:42Z |
publishDate | 2024-03-01 |
publisher | MDPI AG |
record_format | Article |
series | Buildings |
spelling | doaj.art-2e6e58392c334d8f972d8a16067a70a92024-03-27T13:29:40ZengMDPI AGBuildings2075-53092024-03-0114383210.3390/buildings14030832A Community Information Model and Wind Environment Parametric Simulation System for Old Urban Area Microclimate Optimization: A Case Study of Dongshi Town, ChinaYanyan Huang0Ruixin Tu1Wutikeer Tuerxun2Xudong Jia3Xu Zhang4Xiaokang Chen5School of Civil Architecture and Environment, Hubei University of Technology, Wuhan 430068, ChinaSchool of Civil Architecture and Environment, Hubei University of Technology, Wuhan 430068, ChinaSchool of Civil Architecture and Environment, Hubei University of Technology, Wuhan 430068, ChinaCollege of Engineering and Computer Science, California State University Northridge (CSUN), Northridge, CA 91330, USASchool of Civil Architecture and Environment, Hubei University of Technology, Wuhan 430068, ChinaSchool of Civil Architecture and Environment, Hubei University of Technology, Wuhan 430068, ChinaIn the context of an increasingly extreme climate, Urban Heat Island (UHI) mitigation of communities through ventilation has recently attracted more attention. To explore the impact mechanisms of different morphological renovation schemes on its wind and thermal environment, this paper selected the Laozheng Community as a case study and: (1) analyzed measured data to quantitatively investigate the UHI within the community; (2) established the CIM-WTEPS system to construct community information models and to conduct wind environment parametric simulation for seven micro-renovation schemes across three levels; (3) performed correlation analyses between morphology indicators and wind environment indicators; (4) conducted the thermal environment parametric simulation of the community under different schemes. The results reveal that: (1) the Laozheng Community exhibits the Urban Heat Island Intensity (UHII) of up to 6 °C; (2) apart from the “ Hollowing “ scheme, which deteriorates the community wind environment, all other schemes optimize it, potentially increasing the average wind speed by up to 0.03m/s and in the renovated area by up to 0.42 m/s; (3) building density is highly correlated with the average wind speed and the proportion of calm wind area, with correlation coefficients of −0.916 (<i>p</i> < 0.01) and 0.894 (<i>p</i> < 0.01), respectively; (4) the adding of shading facilities can enhance the proportion of areas with lower Universal Thermal Climate Index (UTCI) without adversely affecting the optimization effects of the wind environment, achieving an maximum increase of 3.1%. This study provides a reference for optimizing the community’s microclimate through morphological micro-renovations and detailed operations, aiding designers in better controlling community morphology for in future community renewal and design planning, thereby creating a more hospitable outdoor environment.https://www.mdpi.com/2075-5309/14/3/832old urban communitymicro-renovationfield measurementparametric simulationmicroclimate optimizationcommunity morphology |
spellingShingle | Yanyan Huang Ruixin Tu Wutikeer Tuerxun Xudong Jia Xu Zhang Xiaokang Chen A Community Information Model and Wind Environment Parametric Simulation System for Old Urban Area Microclimate Optimization: A Case Study of Dongshi Town, China Buildings old urban community micro-renovation field measurement parametric simulation microclimate optimization community morphology |
title | A Community Information Model and Wind Environment Parametric Simulation System for Old Urban Area Microclimate Optimization: A Case Study of Dongshi Town, China |
title_full | A Community Information Model and Wind Environment Parametric Simulation System for Old Urban Area Microclimate Optimization: A Case Study of Dongshi Town, China |
title_fullStr | A Community Information Model and Wind Environment Parametric Simulation System for Old Urban Area Microclimate Optimization: A Case Study of Dongshi Town, China |
title_full_unstemmed | A Community Information Model and Wind Environment Parametric Simulation System for Old Urban Area Microclimate Optimization: A Case Study of Dongshi Town, China |
title_short | A Community Information Model and Wind Environment Parametric Simulation System for Old Urban Area Microclimate Optimization: A Case Study of Dongshi Town, China |
title_sort | community information model and wind environment parametric simulation system for old urban area microclimate optimization a case study of dongshi town china |
topic | old urban community micro-renovation field measurement parametric simulation microclimate optimization community morphology |
url | https://www.mdpi.com/2075-5309/14/3/832 |
work_keys_str_mv | AT yanyanhuang acommunityinformationmodelandwindenvironmentparametricsimulationsystemforoldurbanareamicroclimateoptimizationacasestudyofdongshitownchina AT ruixintu acommunityinformationmodelandwindenvironmentparametricsimulationsystemforoldurbanareamicroclimateoptimizationacasestudyofdongshitownchina AT wutikeertuerxun acommunityinformationmodelandwindenvironmentparametricsimulationsystemforoldurbanareamicroclimateoptimizationacasestudyofdongshitownchina AT xudongjia acommunityinformationmodelandwindenvironmentparametricsimulationsystemforoldurbanareamicroclimateoptimizationacasestudyofdongshitownchina AT xuzhang acommunityinformationmodelandwindenvironmentparametricsimulationsystemforoldurbanareamicroclimateoptimizationacasestudyofdongshitownchina AT xiaokangchen acommunityinformationmodelandwindenvironmentparametricsimulationsystemforoldurbanareamicroclimateoptimizationacasestudyofdongshitownchina AT yanyanhuang communityinformationmodelandwindenvironmentparametricsimulationsystemforoldurbanareamicroclimateoptimizationacasestudyofdongshitownchina AT ruixintu communityinformationmodelandwindenvironmentparametricsimulationsystemforoldurbanareamicroclimateoptimizationacasestudyofdongshitownchina AT wutikeertuerxun communityinformationmodelandwindenvironmentparametricsimulationsystemforoldurbanareamicroclimateoptimizationacasestudyofdongshitownchina AT xudongjia communityinformationmodelandwindenvironmentparametricsimulationsystemforoldurbanareamicroclimateoptimizationacasestudyofdongshitownchina AT xuzhang communityinformationmodelandwindenvironmentparametricsimulationsystemforoldurbanareamicroclimateoptimizationacasestudyofdongshitownchina AT xiaokangchen communityinformationmodelandwindenvironmentparametricsimulationsystemforoldurbanareamicroclimateoptimizationacasestudyofdongshitownchina |