Evaluation and improvement of outdoor thermal comfort in urban areas on extreme temperature days: Applications of automatic algorithms

Bajšanski, Ivana; Milošević, Dragan; Savić, Stevan

doi:10.1016/j.buildenv.2015.10.019

Cited by 57 publications

(30 citation statements)

References 20 publications

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“…We need to evaluate it based on the thermal comfort of humans using a comprehensive index. With regard to thermal comfort for urban block, common indices include the Predicted Mean Vote (PMV) [48], the Physiological Equivalent Temperature (PET) [49], and the UTCI [34]. The UTCI is acknowledged as a comprehensive index, that measures the outdoor thermal comfort of humans by considering the effects of such factors as air temperature (Ta,°C), radiation temperature (Tmrt, K), relative humidity (RH, %) and wind speed (m/s) [50].…”

Section: Model Setup and Weather Conditionsmentioning

confidence: 99%

“…This research also pointed out that the building height and density increases in the future street design will modify the thermal environment. [34]. Taleb et al applied a genetic algorithm in Rhino to generate a building form cluster that adapts to a dry and hot climate, covering environmental factors such as solar radiation, urban ventilation, building form, and orientation to achieve the best sustainable urban form [35].…”

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confidence: 99%

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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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Section: Model Setup and Weather Conditionsmentioning

confidence: 99%

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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show abstract

“…Ubota et al (2008) identified the decrease of wind speed at pedestrian level as the density of buildings increases. Applying automatic algorithms to accurately assess non-stationary outdoor thermal comfort in urban areas, Bajsanski et al (2015) predicted that the building height and density increases in the future street design will influence thermal comfort. Likewise, Milosevic et al (2017) showed that the location of trees in street parking lots as well as tree crown shapes are important for the improvement of outdoor thermal comfort and should be considered during the urban planning process.…”

Section: Introductionmentioning

confidence: 99%

Improving schoolyard wind environments: Case studies in two schools in Nanjing

Liu¹,

Xu²,

Gao³

et al. 2019

Geographica Pannonica

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Wind environment as an essential aspect of urban micro-climate is usually studied as an important factor affecting human wind comfort and thermal comfort in public open space. Less studied is how wind environments influence schoolyard serving for children and teenagers who are more sensitive to air temperature and air pollution. This paper presents a study using XFlow for wind speed evaluation based on CFD (Computational Fluid Dynamics) simulation, and Ecotect Analysis for thermal comfort evaluation. Choosing Nanjing Mochou Lake Primary School and Nanjing NO.13 Middle School Suojin Campus as case studies, it offers an evaluation of wind environments in these two schoolyards and surrounding open spaces. Simulation shows that improvements should be made to build better wind environments around both schools. Scenarios are developed subsequently by adjusting buildings in study areas at the scale of blocks and school buildings, proving the efficiency of improvements for a more comfortable wind environments. This study focuses on schoolyard wind environments from the standpoint of children and teenagers, suggesting that research on urban micro-climate can be expanded in multiple directions so that as many social groups in different ages as possible benefits, i.e. have healthier urban life.

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“…From this, researchers formulated a strategy of responding to the urban environment under climatic change [19]. Bajsanski analyzed the impacts of urban planning on the heat environment in Neoplanta, Serbia, using the Ladybug plug-in of the Grasshopper software [20]. Taleb et al used Rhino and genetic algorithms to generate a building form cluster that adapts to a dry and hot climate, covering environmental factors-such as solar radiation, urban ventilation, building form and orientation-to achieve the best sustainable urban form [21].…”

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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Evaluation and improvement of outdoor thermal comfort in urban areas on extreme temperature days: Applications of automatic algorithms

Cited by 57 publications

References 20 publications

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

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

Improving schoolyard wind environments: Case studies in two schools in Nanjing

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

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