Comparison of Summer Outdoor Thermal Environment Optimization Strategies in Different Residential Districts in Xi’an, China

Zhang, Xuefeng; Wang, Yupeng; Zhou, Dian; Liu, Yang; An, Huibin; Teng, Teng

doi:10.3390/buildings12091332

Cited by 10 publications

(4 citation statements)

References 43 publications

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“…Studies have analyzed the effects of the two-dimensional and three-dimensional indices of urban subsurface characteristics on the urban climate by means of field measurements and numerical simulations [23,24]. The two-dimensional morphology indices comprise different subsurface ratios, such as the greening cover ratio, impervious area ratio, and building density.…”

Section: Residential Block Spatial Morphology and Urban Climatementioning

confidence: 99%

High-Rise Residential District Morphology Optimization for Enhancing the Green Space Cooling Effect

Shi,

Chen,

Yue

et al. 2024

Buildings

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Large-scale urban green spaces exert a cooling effect in cities and have great potential for optimizing the urban climate. In this study, taking the typical green space Xingfulindai in Xi’an as an example, we carried out field measurements and ENVI-met simulations of the area and the surrounding high-rise residential areas to analyze the cooling effect. The results show that the cooling effect is the strongest at night in summer seasons, spreading up to 250 m, and the cooling intensity along the downwind direction can be up to 2 °C. On this basis, a total of 16 ideal models of seven groups of high-rise residential blocks were established to analyze the effect of three morphological indices, namely, building orientation, podium ratio, and otherness with respect to the cooling effect of the green space, and a block morphology design strategy for high-rise residential areas was proposed to enhance the cooling effect of the green space. This study provides climate-adaptive optimization strategies for the construction and renewal of residential blocks.

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Section: Residential Block Spatial Morphology and Urban Climatementioning

confidence: 99%

High-Rise Residential District Morphology Optimization for Enhancing the Green Space Cooling Effect

Shi,

Chen,

Yue

et al. 2024

Buildings

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“…2. Analysis of the influence of factors such as the scale, floor area ratio, and greening conditions of urban residential areas on the indoor thermal environment of residential buildings [19,20]. 3.…”

Section: Research On the Indoor Thermal Environment Of Rural Dwellingsmentioning

confidence: 99%

Research on Indoor Thermal Environment Analysis and Optimization Strategy of Rural Dwellings around Xi’an Based on PET Evaluation

Wang

et al. 2023

Sustainability

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Rural dwellings are an important group of residential buildings in China. With the continuous development of rural construction in China, the contradiction between the pursuit of a simple material space and the villagers’ demand for living quality, especially the indoor thermal comfort of rural dwellings, has become increasingly prominent. Therefore, it is particularly important to study the optimization strategies of the indoor thermal environment in rural dwellings. Current research on optimizing the indoor thermal environment of rural dwellings mainly focuses on analyzing the impact of individual factors, such as the envelope structures, building constructions, and building technology applications, but there is a lack of strategy development based on the comprehensive evaluation. This study aims to analyze the combined effects of multiple design elements on the indoor thermal environment and propose a comprehensive optimization strategy for rural dwellings. This study selects the rural dwellings around Xi’an as an example and establishes a basic model of the rural dwellings around Xi’an through field investigation and software simulation. Then, through univariate and compound-variable simulations, we analyze the influence of changes in passive architectural design indicators on the indoor physiological equivalent temperature (PET) of rural dwellings and obtain a comprehensive design indicator optimization strategy. This strategy can improve the indoor thermal comfort in winter and summer, especially in winter, achieving an average increase of 4.17 °C in the winter PET value and an average decrease of 0.66 °C in summer. This provides a reference for the design and renovation of rural dwellings in Xi’an and other rural areas in the cold regions of China.

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“…Water bodies contribute to the thermal environment of urban forest spaces and their surroundings [18][19][20], exhibiting a notable cooling effect [21,22]. The cooling effect of urban forest spaces is influenced by factors such as the percentage of water bodies within them [23][24][25] and the water shape index [26].…”

Section: Introductionmentioning

confidence: 99%

Comparing the Impact of Urban Park Landscape Design Parameters on the Thermal Environment of Surrounding Low-Rise and High-Rise Neighborhoods

Xue,

Yuan,

Wang

et al. 2023

Forests

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Scientific and reasonable planning of urban forests is crucial to mitigate the UHI effect and create a comfortable local climate. This study focused on maximizing the synergistic effect of landscape design parameters (i.e., Landscape Shape Index (LSI), Percentage of Green Area (PGA), Park Area (PA), and Percentage of Water Area (PWA)) through orthogonal experimental design and numerical simulation to improve the regulation of the thermal environment of urban parks in the surrounding blocks. For the neighborhood of low-rise buildings, the influence of PGA was the most significant in the morning with a contribution rate of 50.43%, while PWA was the most influential during midday and evening, with contribution rates of 73.02% and 52.30%, respectively. In contrast, PA was the most influential in the morning with a contribution rate of 62.11% for the high-rise building neighborhood, while the impact of PWA was the most significant in the midday with a contribution rate of 43.99%. In addition, the contribution of PA and PWA played vital roles at night. This study proposed combinations of landscape design parameters for urban parks that met the requirements of two types of neighborhoods, which would help guide the planning and construction of urban forests.

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Comparison of Summer Outdoor Thermal Environment Optimization Strategies in Different Residential Districts in Xi’an, China

Cited by 10 publications

References 43 publications

High-Rise Residential District Morphology Optimization for Enhancing the Green Space Cooling Effect

High-Rise Residential District Morphology Optimization for Enhancing the Green Space Cooling Effect

Research on Indoor Thermal Environment Analysis and Optimization Strategy of Rural Dwellings around Xi’an Based on PET Evaluation

Comparing the Impact of Urban Park Landscape Design Parameters on the Thermal Environment of Surrounding Low-Rise and High-Rise Neighborhoods

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