Study on a full-year improvement of indoor thermal comfort by different vertical greening patterns

Li, Jiayu; Zheng, Bohong; Chen, Xiao; Qi, Zhiyong; Bedra, Komi Bernard; Zheng, Jian; Li, Zilong; Liu, Luyun

doi:10.1016/j.jobe.2020.101969

Cited by 29 publications

(21 citation statements)

References 51 publications

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“…Although the statistical data and figures in the above section provide an understanding of the impacts of roof greening in different months, these data and figures hardly reflect their annual impacts on indoor air temperatures. The air cooling in summer benefits the indoor thermal perception while that in winter deteriorates the indoor thermal perception [32]. Therefore, a comprehensive evaluation throughout the year is necessary for a comprehensive understanding of the impact of roof greening on indoor air temperatures.…”

Section: Annual Distribution Of Indoor Air Temperature Regulated By R...mentioning

confidence: 99%

“…We aimed to propose a method that can be widely used to evaluate the influence of roof greening on the indoor thermal environment in other climate zones. The method proposed is labelled "ENVI-met + Kriging", where the ENVI-met model was employed to simulate indoor temperature [32] and the Kriging model was applied to visualize the annual distribution of indoor air temperature [33].…”

Section: Introductionmentioning

confidence: 99%

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Evaluating the Effects of Roof Greening on the Indoor Thermal Environment throughout the Year in a Chinese City (Chenzhou)

Zheng

Chen

et al. 2022

Forests

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Indoor cooling is preferred during hot summers but unappreciated in cold winters. With this research, we aimed to clarify the cooling performances of roof greening throughout the year and identify the optimum roof greening coverage for the indoor thermal environment in Chenzhou, a city in China with hot summers and cold winters. The layout of buildings, building materials, and local climate data of Chenzhou were collected. The ENVI-met model was applied as the analytical tool after its accuracy was confirmed by a field experiment. The Kriging model was employed to interpret the annual effects of roof greening. The analytical results revealed that in Chenzhou, roof greening reduced indoor temperatures throughout the year, and the higher the coverage of roof greening, the greater the performance of indoor cooling. Moreover, hot climates enhanced the indoor cooling performances of roof greening. From the view of annual thermal perception, the increase in roof greening coverage reduced the duration of warm perceptions throughout the year and extended the perceptions of slightly warm, slightly cool, and cool. Generally, increased roof greening coverage improved the indoor thermal perception in Chenzhou throughout the year. The ENVI-met + Kriging model, an evaluation method of annual cycles, can be used to evaluate the annual performance of roof greening in terms of indoor thermal environment in other climate zones.

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Section: Annual Distribution Of Indoor Air Temperature Regulated By R...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Evaluating the Effects of Roof Greening on the Indoor Thermal Environment throughout the Year in a Chinese City (Chenzhou)

Zheng

Chen

et al. 2022

Forests

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“…Envi-met is designed to simulate the interactions between surfaces, plants, and the air in a city [41,42]. Urban planners are interested in the impact of urban parameters on the overall indoor thermal environment [43]. Among all the simulation models, CFD-based models are preferred by urban planners for microclimate consideration, and Envi-met model is ideal for studying indoor thermal environments.…”

Section: The Simulation Of the Indoor And Outdoor Thermal Environmentmentioning

confidence: 99%

Evaluating the Effect of Window-to-Wall Ratios on Cooling-Energy Demand on a Typical Summer Day

Zheng

Bedra

et al. 2021

IJERPH

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The window-to-wall ratio (WWR) significantly affects the indoor thermal environment, causing changes in buildings’ energy demands. This research couples the “Envi-met” model and the “TRNSYS” model to predict the impact of the window-to-wall ratio on indoor cooling energy demands in south Hunan. With the coupled model, “Envi-met + TRNSYS”, fixed meteorological parameters around the exterior walls are replaced by varied data provided by Envi-met. This makes TRNSYS predictions more accurate. Six window-to-wall ratios are considered in this research, and in each scenario, the electricity demand for cooling is predicted using “Envi-met + TRNSYS”. Based on the classification of thermal perception in south Hunan, the TRNSYS predictions of the electricity demand start with 30 °C as the threshold of refrigeration. The analytical results reveal that in a 6-storey residential building with 24 households, in order to maintain the air temperature below 30 °C, the electricity required for cooling buildings with 0% WWR, 20% WWR, 40% WWR, 60% WWR, 80% WWR, and 100% WWR are respectively 0 KW·h, 19.6 KW·h, 133.7 KW·h, 273.1 KW·h, 374.5 KW·h, and 461.9 KW·h. This method considers the influence of microclimate on the exterior wall and improves the accuracy of TRNSYS in predicting the energy demand for indoor cooling.

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“…For instance, one previous study [23] explored the role of greening on the vertical surface decks of buildings with the aim of improving the outdoor thermal environment. Another study [24] analyzed the optimal vertical greening patterns for indoor thermal comfort in regions with cold winters and hot summers. Other researchers used [25] terrestrial laser scanning technology to refine the vegetation canopy structure in cities and obtain the three-dimensional point cloud volume of leaves to analyze the cooling effects of different woodlands and their corresponding influential ranges.…”

Section: Introductionmentioning

confidence: 99%

Exploring the Effects of Roadside Vegetation on the Urban Thermal Environment Using Street View Images

Xing

Cao

et al. 2022

IJERPH

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Roadsides are important urban public spaces where residents are in direct contact with the thermal environment. Understanding the effects of different vegetation types on the roadside thermal environment has been an important aspect of recent urban research. Although previous studies have shown that the thermal environment is related to the type and configuration of vegetation, remote sensing-based technology is not applicable for extracting different vegetation types at the roadside scale. The rapid development and usage of street view data provide a way to solve this problem, as street view data have a unique pedestrian perspective. In this study, we explored the effects of different roadside vegetation types on land surface temperatures (LSTs) using street view images. First, the grasses–shrubs–trees (GST) ratios were extracted from 19,596 street view images using semantic segmentation technology, while LST and normalized difference vegetation index (NDVI) values were extracted from Landsat-8 images using the radiation transfer equation algorithm. Second, the effects of different vegetation types on roadside LSTs were explored based on geographically weighted regression (GWR), and the different performances of the analyses using remotely sensed images and street view images were discussed. The results indicate that GST vegetation has different cooling effects in different spaces, with a fitting value of 0.835 determined using GWR. Among these spaces, the areas with a significant cooling effect provided by grass are mainly located in the core commercial area of Futian District, which is densely populated by people and vehicles; the areas with a significant cooling effect provided by shrubs are mainly located in the industrial park in the south, which has the highest industrial heat emissions; the areas with a significant cooling effect provided by trees are mainly located in the core area of Futian, which is densely populated by roads and buildings. These are also the areas with the most severe heat island effect in Futian. This study expands our understanding of the relationship between roadside vegetation and the urban thermal environment, and has scientific significance for the planning and guiding of urban thermal environment regulation.

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Study on a full-year improvement of indoor thermal comfort by different vertical greening patterns

Cited by 29 publications

References 51 publications

Evaluating the Effects of Roof Greening on the Indoor Thermal Environment throughout the Year in a Chinese City (Chenzhou)

Evaluating the Effects of Roof Greening on the Indoor Thermal Environment throughout the Year in a Chinese City (Chenzhou)

Evaluating the Effect of Window-to-Wall Ratios on Cooling-Energy Demand on a Typical Summer Day

Exploring the Effects of Roadside Vegetation on the Urban Thermal Environment Using Street View Images

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