An overview of simulation tools for predicting the mean radiant temperature in an outdoor space

Naboni, Emanuele; Meloni, Marco; Coccolo, Silvia; Kaempf, Jérôme; Scartezzini, Jean-Louis

doi:10.1016/j.egypro.2017.07.471

Cited by 88 publications

(30 citation statements)

References 13 publications

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“…The results of Tmrt, computed by the three software and the GIS-based model (only for scenario SBAU) were within similar temperature range. ENVI-met simulated higher values at midday (about +15℃) compared to CitySim and GIS-based model, while SOLWEIG simulates intermediate values; this result is consistent with previous studies [62]. The difference between the two scenarios was also of similar magnitude, but with CitySim a greater difference between the two scenarios at midday can be observed.…”

Section: Outdoor Thermal Comfort Simulationsupporting

confidence: 90%

Roof-Integrated Green Technologies, Energy Saving and Outdoor Thermal Comfort: Insights from a Case Study in Urban Environment

Mutani¹,

Todeschi²

2021

IJSDP

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Green urban infrastructures have a significant impact on urban climate mitigation, on indoor and outdoor thermal comfort and on energy performance of buildings. In this paper, outdoor thermal comfort conditions and energy saving for space heating and cooling were investigated before and after the use of roof-integrated green technologies. Existing urban energy and climate models and tools were applied to an urban area located in a Turin (Italy). CitySim, ENVI-met and SOLWEIG tools and a GIS-based model were used to evaluate the mean radiant temperature and the thermal comfort of outdoor spaces before and after the use of vegetated roofs and green surfaces such as the predicted mean vote (PMV), the physiological equivalent temperature (PET) and the universal thermal climate index (UTCI). A GIS-based engineering model and CitySim tool were used to evaluate the energy saving and energy independence index for space heating and cooling after the use of green roofs and solar technologies. According to the shape and the suitability of rooftop elaborated with GIS tools, some roofs were identified as potential green roofs other as potential solar roofs for installing solar thermal collectors and photovoltaic panels. According to the results it is possible to confirm that the use of green roofs and urban greenery can decrease the mean radiant temperature until about 10℃ during summer season, improving outdoor thermal comfort conditions and energy savings with a reduction of 12% for space cooling energy consumption.

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Section: Outdoor Thermal Comfort Simulationsupporting

confidence: 90%

Roof-Integrated Green Technologies, Energy Saving and Outdoor Thermal Comfort: Insights from a Case Study in Urban Environment

Mutani¹,

Todeschi²

2021

IJSDP

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“….............................................. Table 3. Context of applicability for five outdoor CFD tools (source: Naboni et al, 2017).......... Table 4. Corresponding clothing insulation values (clo) for different articles of clothing.…”

Section: Acknowledgementsmentioning

confidence: 99%

“…Currently, there are at least six 3D outdoor comfort simulation tools available: CitySim Pro, ENVImet V.4, RayMan 1.2, Honeybee, Ladybug, and Autodesk CFD (Naboni et al, 2017). Of all the available software, CitySim Pro and ENVI-met have the ability to simulate both various ground types and contexts with trees and green entities (Table 3).…”

Section: Simulated Urban Vegetationmentioning

confidence: 99%

Outdoor Thermal Comfort Analysis in a Cold Continental Climate: The Case of a Pedestrian-Only Street in Downtown Toronto

Marleau¹

2021

Preprint

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Increased interest in urban thermal comfort has emerged in recent years with unpredictable weather patterns and unprecedented temperature extremes around the world. Urban modelling computer software can help with understanding interactions between built environment and microclimates. However, results of simulations can be difficult to interpret if acceptable thermal conditions for a location are unknown. Using a compound approach of field investigation and microclimate modelling for a pedestrian-only street in Toronto, Canada, this study investigates urban outdoor thermal comfort (OTC) in a cold continental climate. Four thermal indices were used to analyze field data and the results were compared with OTC research conducted in other climates. In this study, the Physiological Equivalent Temperature (PET) provided the strongest annual correlation with the pedestrian thermal sensation votes. A PET comfort range between 9°C and 24°C was found. Survey results were then used to interpret the simulated effect of urban vegetation within the case study microclimate during a summer scenario.

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“…The use of thermal comfort models is often accompanied with the evaluation of local climate conditions and in-situ measurement campaigns to verify the goodness of the results obtained. In some studies, [5][6][7][8][9] ENVI-met, Rayman and SOLWEIG were used associated with buildings energy-use models such as CitySim or GIS-based models considering also local climate data collected with measurement campaigns [10][11][12][13][14][15][16]. In general, for thermal comfort analyses the most used tool is ENVI-met and in some works the goodness of the results is taken for granted [7,[13][14][15], while in others it is made a comparison with the results of Rayman and SOLWEIG [5,[17][18][19][20][21][22][23][24][25][26][27].…”

Section: State Of the Artmentioning

confidence: 99%

How to Improve the Liveability in Cities: The Effect of Urban Morphology and Greening on Outdoor Thermal Comfort

Mutani¹,

Todeschi²,

Beltramino³

2021

TI-IJES

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Extensive and intensive green roofs and vegetated walls should be used to improve the livability in cities, especially in densely built-up context, in order to optimize their contribution on energy savings and greenhouse gas emissions, improving thermal comfort conditions and ensuring a greater storm-water runoff. The aim of this study is to evaluate the effect of urban morphology and to quantify the impact of green surfaces and plants on outdoor thermal comfort conditions. The analysis was applied to six neighborhoods in the city of Turin, identified as typical districts with different building geometries, urban contexts and green presence. The outdoor thermal comfort conditions were assessed calculating a set of indicators, such as the predicted mean vote and the physiological equivalent temperature, with the support of ENVI-met tool. Retrofit scenarios were hypothesized, and outdoor thermal comfort conditions were investigated before and after the installation of green roofs and vegetated areas. The result allowed to understand how thermal comfort vary, considering the building geometry, urban morphology, and green areas in different zones of the city of Turin. By analyzing neighborhoods, it is possible to identify the optimal built environment that ensure better thermal comfort conditions. These models and tools could support urban planners in defining the best measures to improve the liveability and quality in the built environment considering local constraints and the real characteristics of the territory or in designing new neighborhoods.

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An overview of simulation tools for predicting the mean radiant temperature in an outdoor space

Cited by 88 publications

References 13 publications

Roof-Integrated Green Technologies, Energy Saving and Outdoor Thermal Comfort: Insights from a Case Study in Urban Environment

Roof-Integrated Green Technologies, Energy Saving and Outdoor Thermal Comfort: Insights from a Case Study in Urban Environment

Outdoor Thermal Comfort Analysis in a Cold Continental Climate: The Case of a Pedestrian-Only Street in Downtown Toronto

How to Improve the Liveability in Cities: The Effect of Urban Morphology and Greening on Outdoor Thermal Comfort

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