The influence of bioclimatic urban redevelopment on outdoor thermal comfort

Karakounos, Ioannis; Dimoudi, A.; Zoras, Stamatis

doi:10.1016/j.enbuild.2017.11.035

Cited by 83 publications

(50 citation statements)

References 35 publications

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“…The 3D model in Figure 2 shows the district physiognomy, and the orientation toward the northern position. The main typologies of the districts where the buildings are located are villa district, high-rise district, high-rise/mid-rise district and mid-rise district [33][34][35][36][37]. validate the ENVI-met model, comparing it with the UWG Urban Weather Generator, and estimating the contribution of the anthropogenic heat to the air temperature in the E3 district (as a representative district of the downtown area) [31].…”

Section: The Urban Datamentioning

confidence: 99%

Section: The Urban Datamentioning

confidence: 99%

“…The scale is adapted according to the pixels of the program. Each pixel represents 4 m in the plan in order for the full district to fit in the model of 180 × 180 [35]. Two files were built: the base file is the one closest to the real conditions, and the second file is the one with the inserted shading devices.…”

Section: Envi-met Modelsmentioning

confidence: 99%

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Validation of UWG and ENVI-Met Models in an Abu Dhabi District, Based on Site Measurements

et al. 2019

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The city of Abu Dhabi is growing every year in population, urban extent and energy demand. This research focuses on the application of two simulation programs to estimate changes in urban climate associated with continued development in Abu Dhabi: The Urban Weather Generator (UWG) and ENVI-met. Simulation with these two software packages are validated with the site data measured in downtown Abu Dhabi. A comparison analysis (in the different seasons) between the rural data, the simulation output, and the site measurements shows the variations of the UHI in this Middle Eastern city and the potential of the validated tools. The main aims of this study are: (a) to make a seasonal validation of the UWG for the city of Abu Dhabi (referring to urban-rural available data). The tool was previously validated for a year (no seasonal division) for Abu Dhabi, Toulouse, Basel, Singapore, Rome and Barcelona. The simulations are based on the 2016 version of the Urban Weather Generator. The analysis is separated into three main seasons (instead of the full year): winter, spring, summer. (b) To make a seasonal validation and improve the second tool evaluated in this study, ENVI-met 4.0. The software can simulate urban temperature, humidity and wind speed. Guides are proposed for the enhancement of the accuracy of both estimation procedures. Referring to the results, UWG tends to overestimate the canyon temperature during the summer and has a more realistic estimation on the winter season. ENVI-met has better estimations of temperatures during the summer season compared to UWG. Finally, the UWG weather file contributes a more detailed energy model on a mesoscale model. It considers the seasonal effect and shows the impact of the climate on profiling the UHI phenomena. ENVI-met needs improvement in calculating the anthropogenic heat and in calculation of the mean radiant temperature. Sustainability 2019, 11, 4378 2 of 20districts. The latest study shows that the release of the anthropogenic heat creates an unstable layer in the lower level of the atmosphere-even during the night-compared to the countryside [2]. Therefore, including the anthropogenic heat, as a parameter in the simulations, is relevant for models prepared for the climate simulations [3,4].The urban microclimate is strongly connected to the anthropogenic heat released in the canyon. Cities with an efficient public transportation system and a central district cooling plant have a positive impact in improving the urban microclimate [5]. Annual average values show that cities such as Chicago (53 W/m 2 ), Montreal (99 W/m 2 ) and Budapest (43 W/m 2 ) have anthropogenic heat variation from 20 to 40 W/m 2 in summer, and from 70 to 210 W/m 2 in winter. The anthropogenic heat and the traffic schedule follow the same graphic distribution, having one peak in the morning and one peak in the evening [6].Abu Dhabi has developed rapidly over the past 60 years. During this time the urban settlement has grown from the main island towards the desert. The buildings located on the main ...

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Section: The Urban Datamentioning

confidence: 99%

Section: The Urban Datamentioning

confidence: 99%

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Validation of UWG and ENVI-Met Models in an Abu Dhabi District, Based on Site Measurements

et al. 2019

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“…From the literature analysis, it emerges that PMV and PET are the most widely used indexes [49,50,59,61,62,67,71,75,77,80,85,86,88,89,92,93,95,98,109,110,112,114,118,128,131,133,138,141,142,148,151,154]. However, PMV was elaborated for indoor environments by observing people sitting in climate chambers; it does not consider the dynamic adaptive response of the human body and instead references a punctual static situation.…”

mentioning

confidence: 99%

Outdoor Wellbeing and Quality of Life: A Scientific Literature Review on Thermal Comfort

et al. 2020

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While indoor comfort represents a widely investigated research topic with relation to sustainable development and energy-demand reduction in the built environment, outdoor comfort remains an open field of study, especially with reference to the impacts of climate change and the quality of life for inhabitants, particularly in urban contexts. Despite the relevant efforts spent in the last few decades to advance the understanding of phenomena and the knowledge in this specific field, which obtained much evidence for the topic's relevance, a comprehensive picture of the studies, as well as a classification of the interconnected subjects and outcomes, is still lacking. This paper reports the outcomes of a literature review aimed at screening the available resources dealing with outdoor thermal comfort, in order to provide a state-of-the-art review that identifies the main topics focused by the researchers, as well as the barriers in defining suitable indexes for assessing thermal comfort in outdoor environments. Although several accurate models and software are available to quantify outdoor human comfort, the evocated state of mind of the final user still remains at the core of this uncertain process.Energies 2020, 13, 2079 2 of 22 more people to use outdoor spaces would bring greater benefits into the physical, environmental, economic and social spheres of the cities [6-9].Scientists worldwide have thus focused their attention on this topic, making available a wide range of tools and methods to assess human thermal outdoor comfort in different climatic contexts. Over 100 biometeorological and thermal stress indexes [10] have been developed, adopting different approaches and rationales, aiming at linking the microclimatic conditions to the perceived sensations.Since the available knowledge on human thermal perception and related evaluation protocols were mainly the ones previously developed for interior spaces and other confined spaces, the assessment of outdoor conditions initially refers to these patterns [11].In fact, human thermal comfort and its assessment were studied since the beginning of the 20th Century, when the first simplified models were developed [12]. The two node model applied thermodynamics principles to energy exchanges between the human body and its thermal environment [13] for the first time during the 1930s, but it is only from the 1960s onwards that researchers were able to analyze the main climatic parameters connected to the perception of thermal comfort (e.g., air temperature, radiant temperature, air humidity, air flow velocity) when the first climate chambers were made available [14]. The cornerstone studies of Givoni [15] and Fanger [16] led in the following years to the identification of new parameters that are currently considered essential elements in the contemporary assessment of thermal comfort. The advances in the physics of heat exchange knowledge gained during the 1980s and the increasing availability of computer tools to support the research activity allowed relevant progress on...

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“…In this work, the authors synthesized knowledge from assessments of urban green infrastructure carried out in Europe and beyond to evaluate the potential contribution of regulating ecosystem services to reduce among each other the heat stress at the metropolitan, city and site scales. The mitigation of urban heat island phenomenon is one of the greatest environmental challenges for the sustainability of future cities [2]. Especially, during summer the heat island can effect outdoor comfort conditions for people in the daytime [3].…”

Section: Introductionmentioning

confidence: 99%

Greenery in the urban environment as a nature based solution for thermal stress mitigation

et al. 2018

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Abstract. The problem of thermal environment in the city and small urban settlement is described and discussed in the paper. The study was performed for two areas differed in the intensity of development, buildings height and greenery in the nearest surrounding. The results of measurements compared and discussed come from two, local meteorological stations located in both environments. The summer temperature history was compared and analysed using daily maximum, minimum and averaged values. For 85% of analysed days the minimum air temperature in the rural zone was lower than in the regular city area.

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The influence of bioclimatic urban redevelopment on outdoor thermal comfort

Cited by 83 publications

References 35 publications

Validation of UWG and ENVI-Met Models in an Abu Dhabi District, Based on Site Measurements

Validation of UWG and ENVI-Met Models in an Abu Dhabi District, Based on Site Measurements

Outdoor Wellbeing and Quality of Life: A Scientific Literature Review on Thermal Comfort

Greenery in the urban environment as a nature based solution for thermal stress mitigation

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