Academic literature on the topic 'ENVI-Met model simulation'
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Journal articles on the topic "ENVI-Met model simulation"
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Matviienko, M. O. "ENVI-MET MODEL AS A TOOL FOR MODERN URBAN METEOROLOGICAL STUDIES." Hydrology, hydrochemistry and hydroecology, no. 4 (55) (2019): 151–63. http://dx.doi.org/10.17721/2306-5680.2019.4.13.
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Studying the microclimate of cities is one of the areas of urban meteorology, which are actively developing recently. The research of microclimate and its dependence on building parameters is important not only for scientists but also for architects, engineers and urban planners. Because they can help make the urban environment more comfortable for living and minimize the negative impact of Urban Heat Island, which is especially important in the context of rapid urbanization and in the face of climate change, that is most often reflected in air temperatures increasing. For modern urbanmeteorological studies traditional methods (observation method and statistical methods) cannot remain basic, so they are replaced by numerical simulation tools. One of those tools is the Computational Fluid Dynamics (CFD), which are based on the use of numerical methods to simulate the interaction between the atmosphere and the urban surface. Such approaches are gaining in popularity because of such advantages as accurate modeling of urban geometry and the high-resolution description of airflow in it; the ability to simulate the microclimate in different conditions (weather, buildings, vegetation, water bodies, etc.); numerical simulation can provide information about any researched variable in the entire simulated area. This article describes the modern ENVI-met microclimate model as one of the most common numerical simulation tools. The model is based on the fundamental laws of fluid dynamics and thermodynamics and is able to reproduce the basic processes of interaction between the atmosphere, soil, vegetation and buildings. The model can be used to simulate microclimate conditions, bioclimatology, urban air pollution, and to identify optimal measures for urban adaptation to climate change. The paper provides an overview of studies published in peer-reviewed international journals (in the period from 1999 to the end of 2018) using the ENVI-met model, and also presents its main advantages and disadvantages. The simulation accuracy of the ENVI-met model is analyzed by comparing the simulated data with the measured one.
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Joaquim, Thiago D'Orazio, Jonathan Willian Zangeski Novais, Levi Pires de Andrade, Karyna De Andrade Carvalho Rosseti, Maricéia Tatiana Vilani, and Susana Pacheco Pereira. "Thermo-hygrometric modeling using ENVI-met® software to an urban park in Cuiabá – Brazil." Ciência e Natura 40 (May 11, 2018): 37. http://dx.doi.org/10.5902/2179460x29510.
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Climate in urban areas, not under the effect of vegetation, was investigated and its benefits were observed in both vegetated and un-vegetated areas. The objective of this research was to model the air temperature and relative humidity using the Software ENVI-met® in an urban park in Cuiabá. The development of the methodology of this work involved two phases: survey (microclimate) and simulation. The microclimate survey was conducted through a mobile transect, for the periods of January 2014 to March 2014 (hot/wet) and July 2015 to September 2015 (hot/dry). The simulation was developed using ENVI-met® software during these two periods of the year. Generally maximizing the parameters, the ENVI-met® model for microclimate varied in the presence of too much vegetation. Simulations showed an increase in temperature and relative humidity in areas not surrounding the Mãe Bonifacia City Park, and this was particularly apparent in areas laid with asphalt and concrete. Vegetated parks play an important role in how hot climate thermoregulatory agents behave in the city of Cuiabá and the surrounding region.
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Bande, Lindita, Afshin Afshari, Dina Al Masri, et al. "Validation of UWG and ENVI-Met Models in an Abu Dhabi District, Based on Site Measurements." Sustainability 11, no. 16 (2019): 4378. http://dx.doi.org/10.3390/su11164378.
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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.
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Le Minh Tuan, Ilkhomzhon S. Shukurov, Margarita О. Gelmanova, and Mikhail Yu Slesarev. "Using ENVI-met simulation to analyze heat island intensity in megalopolises." Vestnik MGSU, no. 9 (September 2020): 1262–73. http://dx.doi.org/10.22227/1997-0935.2020.9.1262-1273.
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Introduction. The simulation of urban microclimates, including the urban heat island (UHI) phenomenon, has turned all the more important for urban planning. Presently, the analysis of this phenomenon is feasible thanks to high computational power of computers and links between computer modeling instruments and databases that contain information on urban environments. Advanced hardware helps to study characteristics of urban microclimates by analyzing and assessing their exposure to various climatic and anthropogenic urban factors (urban morphology, land use, construction sites, albedo, etc.)
 Materials and methods. ENVI-met is a software model used to simulate microclimates in urban environments. This software can optimize proportions of buildings and streets, outdoor shading, outdoor space planning, air movement, and use of construction materials in respect of thermal comfort and measures taken to mitigate consequences of urban heat islands within the framework of environmental planning of new districts. The co-authors analyze Ha Dong, a Hanoi district characterized by the high density of high-rise buildings. The co-authors consider the example of this district to study the process of detailed simulation, analysis and assessment of UHI effects.
 Results. ENVI-met and its simulation capacity is employed to prove that the air temperature in Wang Fu, an urban area, gradually rises from 8 am to 5 pm, when the air temperature reaches its maximal value of 32.28 °C during the period of sixteen hours. UHI intensity was maximal between midnight and 1 am on May 29, 2017, when it reached 2.41 °C.
 Conclusions. Cities are complex systems exposed to a wide array of interactive factors that influence the urban climate change. The value of R2 equal to 0.94 has proven the reliability of ENVI-met applied to simulate and imitate the climate of Hanoi, which is a hot and damp tropical city.
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Karaaslan, Mizgine, Turki Hassan Ali, Idrees Majeed Kareem, Riman Mohammed Said Bashir Dhuoki, and Ahmed Mohammed Ahmed. "Assessing Microclimate and Green Space at Nawroz University Using Climate Model ENVI-Met Simulation." Environmental Research, Engineering and Management 80, no. 4 (2024): 39–47. https://doi.org/10.5755/j01.erem.80.4.37277.
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Microclimates are important for understanding the impact of urban areas on the environment. Although often overlooked, educational campuses cover large metropolitan areas that contribute to environmental harm in cities. This research focuses on studying the microclimate characteristics of Nawroz University’s campus in Duhok City, Iraq. The study uses ENVI-met software to assess current conditions and a proposed Green-Belt (GB) scenario. The analysis focuses on mean radiant temperature (MRT) and air temperature at four specific times (4 a.m., 8 a.m., 2 p.m., and 10 p.m.). A comparison is made between a Baseline scenario and a Green-Belt scenario. The Baseline scenario shows high temperatures on sun-exposed surfaces. The Green-Belt scenario demonstrates temperature reductions at 2 p.m. up to 8°C, highlighting the importance of vegetation in mitigating heat. Temperature reductions of 3°C to 5°C were also observed at 8 a.m., underscoring the cooling benefits of the proposed vegetation. The results from the Baseline scenario indicate that surfaces exposed to the sun with low albedo have higher temperatures. Vegetation in urban planning improves campus thermal comfort, reducing urban heat island effects. The study highlighted green infrastructure potential in creating sustainable urban environments, notably in regions transitioning to sheltered areas adjacent to trees.
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Simon, Helge, Jannik Heusinger, Tim Sinsel, Stephan Weber, and Michael Bruse. "Implementation of a Lagrangian Stochastic Particle Trajectory Model (LaStTraM) to Simulate Concentration and Flux Footprints Using the Microclimate Model ENVI-Met." Atmosphere 12, no. 8 (2021): 977. http://dx.doi.org/10.3390/atmos12080977.
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The number of studies evaluating flux or concentration footprints has grown considerably in recent years. These footprints are vital to understand surface–atmosphere flux measurements, for example by eddy covariance. The newly developed backwards trajectory model LaStTraM (Lagrangian Stochastic Trajectory Model) is a post-processing tool, which uses simulation results of the holistic 3D microclimate model ENVI-met as input. The probability distribution of the particles is calculated using the Lagrangian Stochastic method. Combining LaStTraM with ENVI-met should allow us to simulate flux and concentration footprints in complex urban environments. Applications and evaluations were conducted through a comparison with the commonly used 2D models Kormann Meixner and Flux Footprint Predictions in two different meteorological cases (stable, unstable) and in three different detector heights. LaStTraM is capable of reproducing the results of the commonly used 2D models with high accuracy. In addition to the comparison with common footprint models, studies with a simple heterogeneous and a realistic, more complex model domain are presented. All examples show plausible results, thus demonstrating LaStTraM’s potential for the reliable calculation of footprints in homogeneous and heterogenous areas.
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Alzahrani, Ali, and Mohamed Gadi. "Assessment of Modeled Mean Radiant Temperature in Hot and Dry Environments: A Case Study in Saudi Arabia." Climate 12, no. 7 (2024): 91. http://dx.doi.org/10.3390/cli12070091.
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Envi-met is the most-used simulation tool to assess outdoor thermal comfort in urban microclimates. Considering reported disparities between modeled and observed mean radiant temperature (MRT), failing to accurately predict the MRT may have a negative impact on the conclusions drawn by urban designers and policy makers. Therefore, this study aims to validate the Envi-met model’s efficiency for predicting MRT in the hot arid climate of Mecca city. Sensitivity analyses were conducted to investigate the settings and inputs of Envi-met, including two- and six-directional methods for calculating MRT, shortwave radiation projection factors, Indexed View Sphere (IVS), Advanced Canopy Radiation Transfer (ACRT), and the localization of materials and vegetation. Two statistical metrics (RMSE and MAE) were employed to assess Envi-met’s performance for the two evaluation points. Envi-met produced the best results with the 6-directional, ƒp-RayM (in winter) and ƒp-City (in summer), IVS on and ACRT on mode, and localized soil condition, materials, and vegetation inputs. An analysis of the modeled MRT results illustrated that error magnitudes were decreased significantly as a result of sufficient settings and inputs; for example, RMSE was improved by 2.31 and 8.48 K in the winter and summer open site results, respectively, and by 7.30 K in the summer under-tree site. Overall, the results of winter and summer analyses demonstrate average RMSE of 4.99 K and MAE of 4.02 K. The findings illustrate that substantial enhancement of model performance can be achieved through the use of proper settings and inputs.
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Chen, Guang, Li Hua Zhao, and Qiong Li. "Simulation Study on Effect of Piloti on Outdoor Thermal Environment of Campus Cluster in Guangzhou." Applied Mechanics and Materials 368-370 (August 2013): 1888–93. http://dx.doi.org/10.4028/www.scientific.net/amm.368-370.1888.
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The piloti is one of the important design method of LingNan architecture to adapt to the climate, piloti space is an important space meet the communication between teachers and students. The three-dimensional non-hydrostatic climate model ENVI-met were applied to simulate differents of heights of piloti and proportion of piloti. Study the effect of different cases of piloti on campus cluster thermal environment.
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Yang, Xiao Shan, Li Hua Zhao, Michael Bruse, and Qing Lin Meng. "Assessing the Effect of Microclimate on Building Energy Performance by Co-Simulation." Applied Mechanics and Materials 121-126 (October 2011): 2860–67. http://dx.doi.org/10.4028/www.scientific.net/amm.121-126.2860.
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To provide a more accurate prediction of building energy consumption, it is necessary to take into account the influence of the microclimate around a building establishing through the interaction with other buildings or the natural environment. This paper presents a method for the quantitative assessment of building performance under any given urban context by linking the urban microclimate model ENVI-met to the building energy simulation (BES) program EnergyPlus. The full microclimatic factors such as solar radiation, thermal radiation, outdoor air temperature, humidity, and wind speed have been considered in the proposed scheme. The method outlined in this paper could be useful for urban and building optimal design.
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Rong, Yuefang, Jian Song, Zhuofan Xu, et al. "Performance Evaluation and Simulation Optimization of Outdoor Environmental Space in Communities Based on Subjective Comfort: A Case Study of Minhe Community in Qian’an City." Buildings 15, no. 12 (2025): 2078. https://doi.org/10.3390/buildings15122078.
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With the continual expansion of global urbanization and population growth, urban energy demands have intensified, and anthropogenic activities have precipitated profound shifts in the global climate. These climatic changes directly alter urban environmental conditions, which in turn exert indirect effects on human physiological function. Consequently, the comfort of outdoor community environments has emerged as a critical metric for assessing the quality of human habitation. Although existing studies have focused on improving singular environmental factors—such as wind or thermal comfort—they often lack an integrated, multi-factor coupling mechanism, and adaptive strategy systems tailored to hot-summer, cold-winter regions remain underdeveloped. This study examines the Minhe Community in Qian’an City to develop a performance evaluation framework for outdoor spaces grounded in subjective comfort and to close the loop from theoretical formulation to empirical validation via an interdisciplinary approach. We first synthesized 25 environmental factors across eight categories—including wind, thermal, and lighting parameters—and applied the Analytic Hierarchy Process (AHP) to establish factor weights, thereby constructing a comprehensive model that encompasses both physiological and psychological requirements. Field surveys, meteorological data collection, and ENVI-met (V5.1.1) microclimate simulations revealed pronounced issues in the community’s wind distribution, thermal comfort, and acoustic environment. In response, we proposed adaptive interventions—such as stratified vegetation design and permeable pavement installations—and validated their efficacy through further simulation. Post-optimization, the community’s overall comfort score increased from 4.64 to 5.62, corresponding to an efficiency improvement of 21.3%. The innovative contributions of this research are threefold: (1) transcending the limitations of single-factor analyses by establishing a multi-dimensional, coupled evaluation framework; (2) integrating AHP with ENVI-met simulation to realize a fully quantified “evaluation–simulation–optimization” workflow; and (3) proposing adaptive strategies with broad applicability for the retrofit of communities in hot-summer, cold-winter climates, thereby offering a practical technical pathway for urban microclimate enhancement.
Dissertations / Theses on the topic "ENVI-Met model simulation"
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Paas, Bastian. "Micro-scale variability of atmospheric particle concentration in the urban boundary layer." Doctoral thesis, Humboldt-Universität zu Berlin, 2018. http://dx.doi.org/10.18452/18659.
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Für die Luftqualitätsbewertung in Städten sind Informationen zur raumzeitlichen Variabilität luftgetragener Feinstäube auf kleiner Skala von wichtiger Bedeutung. Standardisierte Messverfahren, zur Bestimmung von Partikelkonzentrationen, sind mit hohem Aufwand verbunden, weshalb dichte Messnetze fehlen. Partikelausbreitungsmodelle sind kompliziert in der Anwendung und/oder benötigen hohe Computerrechenleistung. Infolgedessen gibt es bezüglich örtlicher Partikelkonzentrationen große Informationslücken.
Diese Arbeit untersucht die mikroskalige Variabilität von Aerosolen in Raum und Zeit mit unterschiedlichen Methoden. Es wurden Erhebungen mit mobilen Sensoren und eine Passantenbefragung durchgeführt. Weiterhin wurden in dieser Arbeit die physikalischen Partikeltransportmodelle ENVI-met und Austal2000 in ihrer Leistung bewertet und in angewandten Studien eingesetzt. Weiterhin wurde ein neuronales Netzwerk zur Vorhersage von Partikelkonzentrationen entwickelt. Die Untersuchungen erfolgten in den Städten Aachen und Münster.
Es konnten unerwartete Verteilungsmuster hinsichtlich der Massekonzentration von Partikeln beobachtet werden. In einem innerstädtischen Park wurden diffuse Partikelquellen identifiziert, mit einem deutlichen Hinweis darauf, dass feuchtgelagerte Wegedecken einen maßgeblichen Anteil an lokalen Partikelimmissionen hatten. Weiterhin wurde Straßenverkehr als wichtiger Beitrag zum städtischen Aerosol identifiziert. Passanten, die verschiedenen Partikelkonzentrationen ausgesetzt waren, konnten diese perzeptiv nicht unterscheiden. Simulationsergebnisse von Austal2000 und ENVI-met wiesen Unterschätzungen im Vergleich zu Messwerten auf. Das entwickelte neuronale Netzwerk prognostizierte Partikelkonzentrationen teilweise mit hoher Genauigkeit. Das große Potenzial von neuronalen Netzen für die Vorhersage von Partikelkonzentrationen in räumlicher und zeitlicher Ausdehnung, auch für den Bereich der Luftqualitätsüberwachung, wurde aufgezeigt.<br>Knowledge about the micro-scale variability of airborne particles is a crucial criterion for air quality assessment within complex terrains such as urban areas. Due to the significant costs and time consumption related to the work required for standardized measurements of particle concentrations, dense monitoring networks are regularly missing. Models that simulate the transmission of particles are often difficult to use and/or computationally expensive. As a result, information regarding on-site particle concentrations at small scales is still limited.
This thesis explores the micro-scale variability of aerosol concentrations in space and time using different methods. Experimental fieldwork, including measurements with mobile sensor equipment alongside a survey, and modeling approaches were conducted. Applied simulation studies, a performance assessment of two popular particle dispersion models, namely Austal2000 and ENVI-met, as well as the development of an ANN model are presented. The cities of Aachen and Münster were chosen as case studies for this research.
Unexpected patterns of particle mass concentrations could be observed, including the identification of diffuse particle sources inside a park area with strong evidence that unpaved surfaces contributed to local aerosol concentration. In addition, vehicle traffic was proved to be a major contributor of particles, particularly close to traffic lanes. Results of the survey reveal that people were not able to distinguish between different aerosol concentration levels. Austal2000 and ENVI-met turned out to have room for improvement in terms of the reproduction of observed particle concentration levels, with both models having a tendency toward underestimation. The newly developed ANN model was confirmed to be a fairly accurate tool for predicting aerosol concentrations in both space and time, and demonstrates the principal ability of the approach also in the domain of air quality monitoring.
Book chapters on the topic "ENVI-Met model simulation"
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Giovanardi, Matteo, Matteo Trane, and Riccardo Pollo. "Environmental Sensing and Simulation for Healthy Districts: A Comparison Between Field Measurements and CFD Model." In The Urban Book Series. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-29515-7_82.
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AbstractAtmospheric Particulate Matter (PM) is considered among the main risk factors for cardiovascular, respiratory, and carcinogenic diseases. Besides, heat waves accounted for 68% of natural hazard-related deaths in Europe between 1980 and 2017 and many climate models project a global rise in climate hazards. Environmental Monitoring (EM) is a key resource to control health determinants, addressing threats arising from unhealthy external conditions. Forecasting models may need data coming from pervasive distributed sensor networks and computational simulations. Moreover, district-scale Environmental Sensing (ES) and Environmental Modelling Simulation (EMS) may identify criticalities and specific strategies to mitigate climate risk affecting physical health. This paper compares the output from ES, by field measurements during a “climate walk” joined by more than 60 people, with EMS, by a Computational Fluid Dynamic software (CFD). The assessment has been performed on a real urban district. For on-site measurements, data were acquired by low-cost IoT-based sensors developed by the authors. For simulations, we used ENVI-met, a prognostic non-hydrostatic CFD. Potential Air Temperature and PM 10-2.5 concentration parameters have been measured and simulated on a specific winter day. Results are presented and discussed through a visualisation matrix making the comparison direct. The analysis of the results pointed out the role of ES and EMS for high-resolution scenarios assessment. Although real-time monitoring needs extensive infrastructure at the urban scale, the use of low-cost sensors and a citizen science approach could provide precise input data to support even more accurate models, towards a healthy district site-specific design perspective. This may finally contribute to achieving the Sustainable Development Goal 11.6, aiming at reducing the adverse environmental impact of cities, thus paying particular attention to air quality.
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Bologna, Roberto, and Giulio Hasanaj. "A Systematic Catalogue of Design Solutions for the Regeneration of Urban Environment Contrasting the Climate Change Impact." In The Urban Book Series. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-29515-7_54.
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AbstractThe article illustrates a research for the definition of a catalogue of design solutions for climate change adaptation in the process of urban regeneration, reducing the vulnerability to climate change impacts and increasing the city resilience. Based on the analysis of relevant case studies of architectural and urban projects in the main biogeographical regions of Europe, the paper describes the research methodology applied for the construction of a catalogue of spatial and technological adaptive design models mainly focusing on the category of “nature-based solutions” but also considering “artificial solutions”. In order to assess their effectiveness, different design alternatives are tested in a specific urban contest (a school courtyard in the City of Scandicci–Metropolitan City of Florence) prone to climate hazards of urban heat islands and pluvial flooding, simulating the impact on the more vulnerable user (children between 11 and 14 years old). For an adequate performance evaluation of multi-hazard effectiveness of the different adaptive design solutions, appropriate IT software and procedural models have been applied: ENVI-met microclimatic simulation software for thermal analysis and predictive method for hydraulic assessment. By comparing the results before and after the application, the climate-adaptive performance of alternative design solutions is measured through specific indicators. This approach is coherent to the design process management aiming to a predictive definition of performance evaluation through procedural models and digital instruments in order to properly address the complexity of architectural and urban project. The systematic catalogue of adaptive design solution offers useful tools and methods to designers and decision makers for the construction of climate change adaptation and mitigation plans in order to build a healthy and safe urban environment for citizens and drive an ecological and sustainable transition to green cities.
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Khan, Ansar, Soumendu Chatterjee, and Yupeng Weng. "Simulating microscale thermal interactions using ENVI-met climate model." In Urban Heat Island Modeling for Tropical Climates. Elsevier, 2021. http://dx.doi.org/10.1016/b978-0-12-819669-4.00006-4.
Full textConference papers on the topic "ENVI-Met model simulation"
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Hussein ELNABAWI, Mohamed, Neveen HAMZA, and Steven DUDEK. "Use And Evaluation Of The Envi-met Model For Two Different Urban Forms In Cairo, Egypt: Measurements And Model Simulations." In 2017 Building Simulation Conference. IBPSA, 2013. http://dx.doi.org/10.26868/25222708.2013.1237.
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Erdener, HMY, and E. Edis. "The effect of orientation and plant type on the thermal behaviour of living wall systems in buildings." In 10th World Construction Symposium. Building Economics and Management Research Unit (BEMRU), University of Moratuwa, 2022. http://dx.doi.org/10.31705/wcs.2022.68.
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Living wall systems are the vegetated wall systems where growth layer is located behind the plant and integrated onto the wall. They started to be used widely due to their many benefits such as increasing the energy efficiency of the building. Living wall can contribute to wall’s thermal performance by its shading, insulation and wind protection effects. However, there are limited studies which is done by simulation to investigate its insulation effect. In the previous studies, its shading effect is usually simulated, and evaporation and transpiration were not taken into account which are the major effect of being a live mechanism. In this study, it is aimed to see the effect of living wall’s orientation and the plant types on interior thermal conditions, by using a microclimate simulation program ENVI-met. ENVI-met provides a vegetation model that simulates evapotranspiration and interaction between the outdoor microclimate with indoor climate. In this context, the temperature differences that occur between the wall layers and interior surface temperature of the living walls are compared with those of bare wall for two cities in Turkey which are representatives of hot and humid climate and temperate climate. Thus, it has been seen especially the west and south facades of the building and also the plant types according to their leaf area index (LAI) affect the efficiency of the building depending on the climate.
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Conry, Patrick, H. J. S. Fernando, L. S. Leo, Ashish Sharma, Mark Potosnak, and Jessica Hellmann. "Multi-Scale Simulations of Climate-Change Influence on Chicago Heat Island." In ASME 2014 4th Joint US-European Fluids Engineering Division Summer Meeting collocated with the ASME 2014 12th International Conference on Nanochannels, Microchannels, and Minichannels. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/fedsm2014-21581.
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Over the past half century, burgeoning urban areas such as Chicago have experienced elevated anthropogenic-induced alteration of local climates within urbanized regions. As a result, urban heat island (UHI) effect in these areas has intensified. Global climate change can further modulate UHI’s negative effects on human welfare and energy conservation. Various numerical models exist to understand, monitor, and predict UHI and its ramifications, but none can resolve all the relevant physical phenomena that span a wide range of scales. To this end, we have applied a comprehensive multi-scale approach to study UHI of Chicago. The coupling of global, mesoscale, and micro-scale models has allowed for dynamical downscaling from global to regional to city and finally to neighborhood scales. The output of the Community Climate System Model (CCSM5), a general circulation model (GCM), provides future climate scenario, and its coupling with Weather Research and Forecasting (WRF) model enables studies on mesoscale behavior at urban scales. The output from the WRF model at 0.333 km resolution is used to drive a micro-scale model, ENVI-met. Through this coupling the bane of obtaining reliable initial and boundary conditions for the micro-scale model from limited available observational records has been aptly remedied. It was found that the performance of ENVI-met improves when WRF output, rather than observational data, is supplied for initial conditions. The success of the downscaling procedure allowed reasonable application of micro-scale model to future climate scenario provided by CCSM5 and WRF models. The fine (2 m) resolution of ENVI-met enables the study of two key effects of UHI at micro-scale: decreased pedestrian comfort and increased building-scale energy consumption. ENVI-met model’s explicit treatment of key processes that underpin urban microclimate makes it captivating for pedestrian comfort analysis. Building energy, however, is not modeled by ENVI-met so we have developed a simplified building energy model to estimate future cooling needs.
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Huang, Huaguo, Weijia Xie, and Hao Sun. "Simulating 3D urban surface temperature distribution using ENVI-MET model: Case study on a forest park." In IGARSS 2015 - 2015 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2015. http://dx.doi.org/10.1109/igarss.2015.7326100.
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Vidyashankar, Kritika, Srushti Rahigude, and Lilly Rose Amirtham. "Role of urban morphology in enhancing the outdoor thermal comfort: A case of Mumbai." In Comfort at The Extremes 2023. CEPT University Press, 2024. http://dx.doi.org/10.62744/cate.45273.1134-140-150.
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In recent years, the city of Mumbai has been experiencing the pressing challenge of urban heat islands, affecting the thermal comfort of its high-density urban environment, impacting both air and surface temperatures. The Intergovernmental Panel on Climate Change (IPCC) projected that climate change would adversely affect 27 million people in Mumbai (6th assessment report). Understanding the intricate relationship between the built environment and its influence on microclimates and thermal comfort was imperative for creating climate-sensitive designs. This paper investigated the role of urban morphology in improving the thermal comfort of a typical neighborhood in Mumbai. The analysis was based on simulations conducted using ENVI-met, a 3D urban climate modeling tool. The research aimed to comprehend how open spaces, aspect ratio, setbacks, and plot boundary conditions within the neighborhood affected outdoor thermal comfort. The objective was to underscore the significance of urban designers and planners in assessing the impact of built environments on microclimates and leveraging microclimatic insights for the design of public spaces. Air temperature, relative humidity, wind speed, and mean radiant temperature were measured at 15 locations within the neighborhood, Matunga east, and its primary street in February 2023. The recorded data were used to validate the Envi-Met model . Two distinct scales were analyzed: neighborhood-level and plot-level iterations. Neighborhood-level iterations focused on block-level modifications, while plot-level iterations examined street and boundary conditions. Each iteration was evaluated using EnviMet to assess changes in thermal conditions relative to the current site conditions (Base case). The analyses were conducted for the critical summer month (May). The study ultimately revealed that the introduction of road networks in prevailing wind directions and the incorporation of green open spaces within the urban fabric could reduce overall heat stress duration from 12 hours to 6 hours. Smaller-scale interventions, such as 50% porous pavements and strategically placed trees, also yielded positive outcomes. This research aspired to provide urban planners with a comprehensive framework that integrated outdoor thermal comfort as a pivotal aspect in the design of future urban landscapes.
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URIȚESCU, Bogdan, and Georgiana GRIGORAȘ. "The Influence of Building Envelope on the Local Microclimate." In Air and Water – Components of the Environment 2022 Conference Proceedings. Casa Cărţii de Ştiinţă, 2022. http://dx.doi.org/10.24193/awc2022_14.
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Urban areas have higher temperatures than the surrounding suburban/rural areas, a phenomenon known as the Urban Heat Island (UHI). There is a great interest in creating a healthy and comfortable environment for the growing number of urban dwellers to live in, therefore different methods of combating and diminishing the urban heat island are being studied. One such method is to reduce the energy contribution of buildings to the formation of the urban heat island. In this paper we analyzed the effect of building envelopment, both by seasonal monitoring of surface temperatures using the thermal camera at different time intervals, and by numerical simulations of air temperature at different levels in the atmosphere, using ENVI-met, a three-dimensional non-hydrostatic microclimatic model. The data sets resulting from the monitoring of the surface temperature with the thermal camera showed that the temperature recorded at the surface is lower for the enveloped buildings than for the non-enveloped buildings, during the night but also during the day, less at noon. The numerical simulations were based on two scenarios: i) buildings with non-enveloped walls and ii) the same buildings but with enveloped walls, after running the scenarios for enveloped and non-enveloped buildings. The results showed that following the enveloping process the air temperature in the areas between the buildings is lower for the enveloped buildings, at different heights, both during the night and during the day.