Modeling and simulating urban outdoor comfort: Coupling ENVI-Met and TRNSYS by grasshopper

Perini, Katia; Chokhachian, Ata; Dong, Sen; Auer, Thomas

doi:10.1016/j.enbuild.2017.07.061

Cited by 130 publications

(62 citation statements)

References 32 publications

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“…In Hong Kong, Ng et al [42] suggested tree coverage for at least 1/3 of total area, which is needed to reduce 1°K temperature. Human thermal comfort is also slightly enhanced by increasing tree quantity [43][44][45][46]. Although species of tree affects its cooling effect [47] only a few of the reviewed studies discussed about the impact of tree species on microclimate.…”

Section: Treesmentioning

confidence: 99%

“…They found that predicted temperature from ENVI-met was lower than STEVE, yet concluded that STEVE could be suitable for predicting temperature in urban tropical environment. Another study [44] was conducted to identify a method that accurately estimate Mean Radiant Temperature (MRT). MRT is one climatic variable that was frequently predicted less accurately by ENVI-met [83][84][85].…”

Section: Modelling Softwarementioning

confidence: 99%

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Green Infrastructure as an Urban Heat Island Mitigation Strategy - A Review

Balany

Muttil

et al. 2020

Preprint

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Research on urban heat mitigation has been growing in recent years with many of the studies focusing on green infrastructure (GI) as a strategy to mitigate the adverse effects of Urban Heat Island (UHI). This paper aims at presenting a review of the range of findings from GI research for urban heat mitigation through a review of scientific articles published during the years 2009-2019. This research includes a review of the different types of GI and its contribution for urban heat mitigation and human thermal comfort. In addition to analyzing different mitigation strategies, numerical simulation tools that are commonly used are also reviewed. It is seen that ENVI-met is one of the modelling tools that is considered as a reliable tool to simulate different mitigation strategies and hence has been widely used in the recent past. Considering its popularity in urban microclimate studies, this article also provides a review of ENVI-met simulation results that were reported in the reviewed papers. It was observed that the majority of the research was conducted on a limited spatial scale and focused on temperature and human thermal comfort.

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Section: Treesmentioning

confidence: 99%

Section: Modelling Softwarementioning

confidence: 99%

Green Infrastructure as an Urban Heat Island Mitigation Strategy - A Review

Balany

Muttil

et al. 2020

Preprint

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“…Perini et al simulated urban outdoor thermal comfort by coupling EVNI-Met and TRNSYS using Grasshopper, which investigated the potentialities of both ENVI-met and TRNSYS for the calculation of urban features (urban form, vegetation, canyon proportion, etc. ), which affect urban microclimate [38]. Milošević et al also developed a procedure for changing tree locations to improve outdoor thermal comfort in street parking lots and address the importance of the location of trees, as well as the crown shapes [39].Parameterized design has been widely applied, and the design has gradually evolved into the automatic optimization of urban forms based on the platform of computer optimization algorithms.…”

mentioning

confidence: 99%

Revealing Urban Morphology and Outdoor Comfort through Genetic Algorithm-Driven Urban Block Design in Dry and Hot Regions of China

Yin²,

Wang

et al. 2019

Sustainability

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In areas with a dry and hot climate, factors such as strong solar radiation, high temperature, low humidity, dazzling light, and dust storms can tremendously reduce people’s thermal comfort. Therefore, researchers are paying more attention to outdoor thermal comfort in urban environments as part of urban design. This study proposed an automatic workflow to optimize urban spatial forms with the aim of improvement of outdoor thermal comfort conditions, characterized by the universal thermal climate index (UTCI). A city with a dry and hot climate—Kashgar, China—is further selected as an actual case study of an urban block and Rhino & Grasshopper is the platform used to conduct simulation and optimization process with the genetic algorithm. Results showed that in summer, the proposed method can reduce the averaged UTCI from 31.17 to 27.43 °C, a decrease of about 3.74 °C, and reduce mean radiation temperature (MRT) from 43.94 to 41.29 °C, a decrease of about 2.65 °C.

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“…Using a Grasshopper platform and genetic algorithm, Hu et al studied low UHI in high-density cities and revealed the potential of urban form design in optimize the UHI effect [22]. Perini et al modeled and simulated urban outdoor thermal comfort by coupling EVNI-Met and TRNSYS using Grasshopper [23].…”

mentioning

confidence: 99%

Performance-driven optimization of urban open space configuration in the cold-winter and hot-summer region of China

Wang

et al. 2019

Build. Simul.

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Modeling and simulating urban outdoor comfort: Coupling ENVI-Met and TRNSYS by grasshopper

Cited by 130 publications

References 32 publications

Green Infrastructure as an Urban Heat Island Mitigation Strategy - A Review

Green Infrastructure as an Urban Heat Island Mitigation Strategy - A Review

Revealing Urban Morphology and Outdoor Comfort through Genetic Algorithm-Driven Urban Block Design in Dry and Hot Regions of China

Performance-driven optimization of urban open space configuration in the cold-winter and hot-summer region of China

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