Experimental and simulation studies on the thermal behavior of vertical greenery system for temperature mitigation in urban spaces

Daemei, Abdollah Baghaei; Azmoodeh, Maryam; Zamani, Zahra; Khotbehsara, Elham Mehrinejad

doi:10.1016/j.jobe.2018.07.024

Cited by 64 publications

(16 citation statements)

References 70 publications

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“…Many researchers have confirmed the accuracy of the Envi-met model in simulating indoor and outdoor thermal environments [46][47][48]. In this study, the accuracy of the Envi-met model has also been validated by a field measurement.…”

Section: The Simulation Of the Indoor And Outdoor Thermal Environmentmentioning

confidence: 59%

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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Section: The Simulation Of the Indoor And Outdoor Thermal Environmentmentioning

confidence: 59%

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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“…Moreover, air temperature was much higher than soil temperature during sunny days, while the both temperatures were similar on a rainy day and at nighttime. In addition, vegetation layer was believed to have a significant influence on vertical temperature profile (Daemei et al, 2018). During the deployment period of this study, the height of vegetation layer reached up to ~20 cm above the surface.…”

Section: Estimation Of Vertical Eddy Diffusivity Within the Air Layermentioning

confidence: 84%

Air-soil diffusive exchange of PAHs in an urban park of Shanghai based on polyethylene passive sampling: Vertical distribution, vegetation influence and diffusive flux

Xie

Zheng

et al. 2019

Science of The Total Environment

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“…It was found that the cooling effect of the vegetation combination was gradually decreasing in the vertical direction. However, roof greening has a better cooling effect on the roof level [51]. Hence, multiple mitigation strategies should be combined to improve the city's overall outdoor thermal environment.…”

Section: Discussionmentioning

confidence: 99%

Evaluating the 3D cooling performances of different vegetation combinations in the urban area

Tan

Liao

Bedra

et al. 2021

Journal of Asian Architecture and Building Engineering

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Vegetation has been considered as an effective strategy to combat the urban heat island effect. Most researches have focused on evaluating the cooling effect of trees in the urban thermal environment. Little attention has been paid to the cooling effect of the combination of different vegetation elements. Moreover, most studies are focused on the horizontal cooling performance of plants, while fewer studies have investigated the vertical cooling effect of vegetation. Therefore, this study evaluates the 3D (horizontal and vertical) cooling performances of the three vegetation combination scenarios in the urban area using the ENVI-met model. The study indicates that the tree-grass (TG) combination has the best 3D cooling effect, followed by the tree-shrub-grass (TSG) combination, while the shrub-grass (SG) combination has the weakest 3D cooling effect. Among them, the 3D cooling effect of TG and TSG is significantly better than that of SG, while no big differences are noticed between the cooling effects of TG and TSG. Besides, it is economical to plant TSG combinations because fewer trees are needed than planting TG combinations. Therefore, the study recommends the tree-shrub-grass combination rather than TG or SG combination in urban areas to effectively improve the thermal environment. The study also shows that the relationship between increasing tree coverage and the resulting cooling effect is not linear. The results of this study can effectively guide the design of greening strategies in urban areas to improve thermal comfort.

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Experimental and simulation studies on the thermal behavior of vertical greenery system for temperature mitigation in urban spaces

Cited by 64 publications

References 70 publications

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

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

Air-soil diffusive exchange of PAHs in an urban park of Shanghai based on polyethylene passive sampling: Vertical distribution, vegetation influence and diffusive flux

Evaluating the 3D cooling performances of different vegetation combinations in the urban area

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