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Littérature scientifique sur le sujet « Urban Weather Generator (UWG) »

Auteur : Grafiati

Publié le 17 mai 2025

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Articles de revues sur le sujet "Urban Weather Generator (UWG)"

Hamdi, Hiba, Laure Roupioz, Thomas Corpetti et Xavier Briottet. « Evaluation of the Urban Weather Generator on the City of Toulouse (France) ». Applied Sciences 14, n^o 1 (25 décembre 2023) : 185. http://dx.doi.org/10.3390/app14010185.

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This article addresses the simulation of urban air temperatures with a focus on evaluating the Urban Weather Generator (UWG) model over Toulouse, France. As urban temperatures, influenced by factors like urbanization, anthropogenic heat release, and complex urban geometry, exhibit an urban heat island (UHI) effect, understanding and mitigating UHI become crucial. With increasing global warming and urban populations, aiding urban planners necessitates accurate simulations requiring data at the canyon level. The paper evaluates UWG’s performance in simulating air temperatures under realistic conditions, emphasizing an operational context and a non-specialist user’s perspective. The evaluation includes selecting the most suitable meteorological station, assessing the impact of the rural station choice, and conducting a sensitivity analysis of input parameters. The validation demonstrates good agreement, with a mean bias error (MBE) of 0.02 °C and a root mean square error (RMSE) of 1.73 °C. However, we highlight the fact that UWG performs better in a densely urbanized area, and exhibits limitations in sensitivity to urban surface parameter variations, particularly in less urbanized areas.

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Hammerberg, Kristopher, Milena Vuckovic et Ardeshir Mahdavi. « Approaches to Urban Weather Modeling : A Vienna Case Study ». Applied Mechanics and Materials 887 (janvier 2019) : 344–52. http://dx.doi.org/10.4028/www.scientific.net/amm.887.344.

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Given the adverse implications of both urbanization and global climate change for cities, specifically regarding issues such as human health and comfort, local air quality, and increased summertime energy use in buildings, it is becoming imperative to develop models that can accurately predict the complex and nonlinear interactions between the surrounding urban fabric and local climatic context. Over the past years, a number of comprehensive tools have been widely applied for the generation of near-surface urban climatic information. In this paper, we report on the potential of two alternative approaches to urban climate modeling. Specifically, we compare the climatic output generated with Urban Weather Generator (UWG) and the Weather Research and Forecasting (WRF) model. The WRF model has been widely applied due to its capability of downscaling global weather data to finer resolutions, thus representing the location-specific microclimatic information, while considering the interactions with the surrounding urban and regional context. However, this approach is computationally intensive. The UWG was recently introduced as a simpler alternative to such complex models. The tool morphs rural weather data to represent urban conditions given a set of location-specific morphological parameters. In the present paper, WRF and UWG methods were compared based on empirical data pertaining to air temperature, wind speed, and humidity, collected from 12 locations in the city of Vienna, Austria, over 5 distinct time periods. In general, our results suggest that, as compared to the WRF model, the UWG model results are closer to monitored data. However, during the extreme conditions in summer, the WRF model was found to perform better. It was further noted that the discrepancy between the two models increases with decreasing temperatures, thus revealing a higher offset between UWG and WRF output during the winter period.

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Bande, Lindita, Afshin Afshari, Dina Al Masri, Mukesh Jha, Leslie Norford, Alexandros Tsoupos, Prashanth Marpu, Yosha Pasha et Peter Armstrong. « Validation of UWG and ENVI-Met Models in an Abu Dhabi District, Based on Site Measurements ». Sustainability 11, n^o 16 (13 août 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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Xu, Genyu, Jinglei Li, Yurong Shi, Xuming Feng et Yufeng Zhang. « Improvements, extensions, and validation of the Urban Weather Generator (UWG) for performance-oriented neighborhood planning ». Urban Climate 45 (septembre 2022) : 101247. http://dx.doi.org/10.1016/j.uclim.2022.101247.

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Swedberg, Nicholas C. « Rapid neighbourhood-scale modelling of urban heat risks for early-stage quantification of potential passive design mitigation strategy effectiveness : Copenhagen test case ». E3S Web of Conferences 562 (2024) : 03003. http://dx.doi.org/10.1051/e3sconf/202456203003.

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This study employed the urban weather generator (UWG) to model the formation of the urban heat island (UHI) across the twelve (12) districts (bydele) of the City of Copenhagen (Københavns Kommune). In the face of projected future population growth, increased urban development, and rising global temperatures, it is necessary to quantify the ability of sustainable urban development objectives to mitigate the formation of UHIs. Assessment of baseline UHI formation in Copenhagen allowed for testing passive UHI mitigation strategies as defined in Copenhagen’s Kommuneplan 19 (KP19). The results of this study identified city districts experiencing higher baseline levels of urban heat and the effectiveness of the passive UHI mitigation strategies proposed in KP19. Additionally, results from this study suggest that UHI mitigation strategies are more effective combined.

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Toren, B. I., et T. Sharmin. « Comparison of building energy performance in three urban sites using field measurements and modelling in Kayseri, Turkiye ». Journal of Physics : Conference Series 2600, n^o 3 (1 novembre 2023) : 032007. http://dx.doi.org/10.1088/1742-6596/2600/3/032007.

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Abstract Despite the fact that the interrelationships between urban microclimates and energy demand have been recognised, there are not many processes that combine microclimatic boundary conditions to estimate energy consumption in parametric morphological investigations. Therefore, this paper will demonstrate a simple step-by-step methodology to incorporate the effect of urban microclimate on building cooling energy demand in semi-arid climatic areas. In this study, the combination of ENVI-met, Urban Weather Generator (UWG) and Rhino grasshopper are used to investigate the connection between microclimate and energy in the climatic environment of Kayseri. This coupling’s potential is investigated across compact high-rise, midrise and low-rise buildings, focusing on the cooling requirement on the hottest days. The comparative study shows how and to what extent urban geometry, building height in this case, contributes to modifying the magnitude of microclimate impact on building cooling performance.

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Hashemi, Farzad, Parisa Najafian, Negar Salahi, Sedigheh Ghiasi et Ulrike Passe. « The Impact of the Urban Heat Island and Future Climate on Urban Building Energy Use in a Midwestern U.S. Neighborhood ». Energies 18, n^o 6 (17 mars 2025) : 1474. https://doi.org/10.3390/en18061474.

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Typical Meteorological Year (TMY) datasets, widely used in building energy modeling, overlook Urban Heat Island (UHI) effects and future climate trends by relying on long-term data from rural stations such as airports. This study addresses this limitation by integrating Urban Weather Generator (UWG) simulations with CCWorldWeatherGen projections to produce microclimate-adjusted and future weather scenarios. These datasets were then incorporated into an Urban Building Energy Modeling (UBEM) framework using Urban Modeling Interface (UMI) to evaluate energy performance across a low-income residential neighborhood in Des Moines, Iowa. Results show that UHI intensity will rise from an annual average of 0.55 °C under current conditions to 0.60 °C by 2050 and 0.63 °C by 2080, with peak intensities in summer. The UHI elevates cooling Energy Use Intensity (EUI) by 7% today, with projections indicating a sharp increase—91% by 2050 and 154% by 2080. The UHI will further amplify cooling demand by 2.3% and 6.2% in 2050 and 2080, respectively. Conversely, heating EUI will decline by 20.0% by 2050 and 40.1% by 2080, with the UHI slightly reducing heating demand. Insulation mitigates cooling loads but becomes less effective for heating demand over time. These findings highlight the need for climate-adaptive policies, building retrofits, and UHI mitigation to manage future cooling demand.

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Li, Wenliang. « Quantifying the Building Energy Dynamics of Manhattan, New York City, Using an Urban Building Energy Model and Localized Weather Data ». Energies 13, n^o 12 (23 juin 2020) : 3244. http://dx.doi.org/10.3390/en13123244.

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Building sectors account for major energy use and greenhouse gas emissions in the US. While urban building energy-use modeling has been widely applied in many studies, limited studies have been conducted for Manhattan, New York City (NYC). Since the release of the new “80-by-50” law, the NYC government has committed to reducing carbon emissions by 80% by 2050; indeed, the government is facing a big challenge for reducing the energy use and carbon emissions. Therefore, understanding the building energy use of NYC with a high spatial and temporal resolution is essential for the government and local citizens in managing building energy use. This study quantified the building energy use of Manhattan in NYC with consideration of the local microclimate by integrating two popular modeling platforms, the Urban Weather Generator (UWG) and Urban Building Energy Modeling (UBEM). The research results suggest that (1) the largest building energy use is in central Manhattan, which is composed of large numbers of commercial buildings; (2) a similar seasonal electricity-use pattern and significantly different seasonal gas-use patterns could be found in Manhattan, NYC, due to the varied seasonal cooling and heating demand; and (3) the hourly energy-use profiles suggest only one electricity-use peak in the summer and two gas-use peaks in the winter.

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Zou, Yukai, Zhuotong Wu, Binbin Li et Yudong Jia. « Cooling Energy Challenges in Residential Buildings During Heat Waves : Urban Heat Island Impacts in a Hot-Humid City ». Buildings 14, n^o 12 (18 décembre 2024) : 4030. https://doi.org/10.3390/buildings14124030.

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Ignoring Urban Heat Island (UHI) effects may lead to an underestimation of the building cooling demand. This study investigates the impact of the UHI on the cooling demand in hot-humid cities, employing the Local Climate Zones (LCZs) classification framework combined with the Urban Weather Generator (UWG) model to simulate UHI effects and improve building performance simulations. The primary aim of this research is to quantify the influence of different LCZs within urban environments on variations in the cooling energy demand, particularly during heat waves, and to explore how these effects can be incorporated into building energy models. The findings reveal significant discrepancies in both the average and peak cooling demand when UHI effects are ignored, especially during nighttime. The most intense UHI effect was observed in LCZ 2.1, characterized by compact mid-rise and high-rise buildings, leading to a cooling demand increase of more than 20% compared to suburban data during the heat waves. Additionally, building envelope thermal performance was found to influence cooling demand variability, with improved thermal properties reducing energy consumption and stabilizing demand. This research contributes to the theoretical understanding of how urban microclimates affect building energy consumption by integrating LCZ classification with UHI simulation, offering a more accurate approach for building energy predictions. Practically, it highlights the importance of incorporating LCZs into building energy simulations and provides a framework that can be adapted to cities with different climatic conditions, urban forms, and development patterns. This methodology can be generalized to regions other than hot-humid areas, offering insights for improving energy efficiency, mitigating UHI effects, and guiding urban planning strategies to reduce the building energy demand in diverse environments.

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Bueno, Bruno, Leslie Norford, Julia Hidalgo et Grégoire Pigeon. « The urban weather generator ». Journal of Building Performance Simulation 6, n^o 4 (juillet 2013) : 269–81. http://dx.doi.org/10.1080/19401493.2012.718797.

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Thèses sur le sujet "Urban Weather Generator (UWG)"

Hamdi, Hiba. « Estimation des températures d’air en milieu urbain à l’aide de modèles physiques et de réseaux de neurones ». Electronic Thesis or Diss., Rennes 2, 2025. http://www.theses.fr/2025REN20003.

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Cette thèse s’inscrit dans le contexte du changement climatique et de l’étude de ses impacts sur les environnements urbains en se concentrant sur le phénomène d’ICU. L’objectif est de fournir des outils permettant d’identifier les zones vulnérables afin de mettre en oeuvre des mesures ciblées, notamment grâce à des cartes de température de l’air à l’échelle des quartiers. Ce travail propose un cadre méthodologique innovant, combinant des simulations physiques et des approches statistiques s’appuyant sur des mesures in-situ. Le modèle Urban UWG a été utilisé pour construire une base de données de températures d’air en milieux urbains en s’appuyant sur des données rurales et des paramètres de surface. Un modèle basé sur les réseaux de neurones, NUWG-City, a été développé. Pré-entraîné sur les simulations issues de UWG, il a été affiné avec des données issues de stations météorologiques de Toulouse. Cette ville, caractérisée par son tissu urbain diversifié et ses riches données météorologiques, a permis un entraînement et une validation robustes du modèle. NUWG-City améliore les performances d’UWG de 30% et offre une rapidité de simulation supérieure de 33%, tout en offrant une meilleure variabilité spatiale grâce à la prise en compte des spécificités des environnements urbains
This thesis is set within the context of climate change and its impacts on urban environments, focusing on the phenomenon of the UHI. The goal is to provide tools for identifying vulnerable areas to implement targeted measures, particularly through neighborhoodscale air temperature maps. This work introduces an innovative methodological framework that combines physical simulations and statistical approaches. The UWG model was employed to construct an urban air temperature database using rural data and surface parameters. A neural network-based model, NUWG-City, was developed. Pre-trained on simulations generated by UWG, it was finetuned using meteorological station data from Toulouse. This city, characterized by its diverse urban fabric and extensive meteorological records, enabled robust training and validation of the model. NUWG-City improves UWG’s performance by 30% and increases simulation speed by 33%, while providing better spatial variability by incorporating the specific characteristics of urban environments

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Bueno, Unzeta Bruno. « An urban weather generator coupling a building simulation program with an urban canopy model ». Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/59107.

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Thesis (S.M. in Building Technology)--Massachusetts Institute of Technology, Dept. of Architecture, 2010.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 125-128).
The increase in air temperature observed in urban environments compared to the undeveloped rural surroundings, known as the Urban Heat Island (UHI) effect, is being intensely studied, due to its adverse environmental and economic impacts. Some of the causes of the UHI effect are related to the interactions between buildings and the urban environment. This thesis presents a methodology intended to integrate building energy and urban climate studies for the first time. It is based on the premise that at the same time buildings are affected by their urban environment, the urban climate is affected by the energy performance of buildings. To predict this reciprocal interaction, the developed methodology couples a detailed building simulation program, EnergyPlus, with a physically based urban canopy model, the Town Energy Balance (TEB). Both modeling tools are leading their respective fields of study. The Urban Weather Generator (UWG) methodology presented in this thesis is a transformation of meteorological information from a weather station located in an open area to a particular urban location. The UWG methodology fulfils two important needs. First, it is able to simulate the energy performance of buildings taking into account site-specific urban weather conditions. Second, it proposes a building parameterization for urban canopy models that takes advantage of the modelling experience of a state-of-the-art building simulation program. This thesis also presents the application of the UWG methodology to a new urban area, Masdar (Abu Dhabi). The UHI effect produced in this hot and arid climate by an urban canyon configuration and its impact on the energy performance of buildings are analyzed.
by Bruno Bueno Unzeta.
S.M.in Building Technology

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Nakano, Aiko. « Urban weather generator user interface development : towards a usable tool for integrating urban heat island effect within urban design process ». Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/99251.

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Thesis: S.M. in Building Technology, Massachusetts Institute of Technology, Department of Architecture, 2015.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 125-131).
Urban Weather Generator (UWG) is the urban design simulation tool that provides climate-specific advice for cityscape geometry and land use to assist the development of energy-efficient cities that are also thermally comfortable. The software enables urban designers to parametrically test built densities for masterplanning and urban planners to advocate zoning regulations such as building height and land use as well as policies for traffic intensity with energy and thermal implications of these interventions. UWG is the first tool publicly available that incorporates microclimatic considerations in urban design and energy simulations. The project succeeds the work of Bueno et al. (2014) to develop a useful and accessible urban design tool to model urban heat island effect (UHI) from measurements at an operational weather station based on neighborhood-scale energy balances. The sensitivity analyses for Boston, MA, USA, and Punggol, Singapore identify as key parameters the building morphologies such as site coverage ratio and fac̦ade-to-site ratio; building surface albedo and emissivity; and sensible anthropogenic heat in the urban canyon. The consistency of results for these cities reduced required user inputs to the model by 46% without decreasing the simulation accuracy. The developed software is available as a stand-alone tool as well as a new plug-in for the Rhinoceros-based urban modeling interface (umi) to integrate the microclimate analysis in the formal design process. The graphical user interface is written in programming language C# in the Microsoft .NET platform and is available free of charge at http://urbanmicroclimate.scripts.mit.edu/uwg.php. The newly proposed workflow for energy- and thermal comfort-driven urban design and planning is demonstrated through a case study of the new 130 thousand square meter development on the MIT East Campus in Cambridge, MA, USA. An IPCC-based climate change prediction is considered along with UHI to evaluate the proposed massing models at each design phase to ensure thermally comfortable urban development along the way.
by Aiko Nakano.
S.M. in Building Technology

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Chapitres de livres sur le sujet "Urban Weather Generator (UWG)"

Mao, Jiachen, et Leslie K. Norford. « Urban Weather Generator : Physics-Based Microclimate Simulation for Performance-Oriented Urban Planning ». Dans Urban Microclimate Modelling for Comfort and Energy Studies, 241–63. Cham : Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-65421-4_12.

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Morganti, Michele, et Diletta Ricci. « Climate Adaptation in Urban Regeneration : A Cross-Scale Digital Design Workflow ». Dans The Urban Book Series, 769–82. Cham : Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-29515-7_69.

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AbstractUrban vulnerability has many facets. Among these, urban texture and plot pattern, building massing and density, greatly affect the microclimate. Thence, redefining urban regeneration design criteria for climate neutrality is crucial, including environmental factors in the design process at different scales. In the light of climate change, despite this urgent call, adaptive design approaches useful to assess trade-offs between urban regeneration scenarios and microclimate quality are lacking. This paper introduces a novel digital design workflow that integrates climate quality and associated indicators in urban and building design, adopting a cross-scale approach. The main goal is to increase the resilience of the built environment in the foresight of future scenarios, by promoting climate-sensitive design solutions. Environmental performances were analysed using digital tools and implemented in a design workflow, allowing urban microclimate analysis. Performance metrics were calculated using Urban Weather Generator and Energy Plus. With the former tool a climate performance comparative study has been run in different scenarios, by varying morphological parameters and computing the intensity of the Urban Heat Island. While, Energy Plus was used to simulate the impact of building form and UHI on building energy demand, highlighting the interdependence of different design scales and addressing optimal building performance. The results provide additional levels of knowledge, both in terms of analysis and design scenario evaluation: urban metrics and climate impacts, building form and envelope design, adaptation solutions. This workflow is tested and a scenario suitability for the Mediterranean city is shown, exploiting the research-by-design transformations of 22@ Innovation District of Barcelona. The paper highlights the correlation between microclimate and design solutions and lays the foundations for a climate/design cross-talk to help policymakers and practitioners achieve urban climate adaptation goals.

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Danumah, Jean Homian, Samuel Nii Odai, Mahaman Bachir Saley, Joerg Szarzynski, Kwaku Adjei et Fernand Koffi Kouame. « A Stochastic Weather Generator Model for Hydroclimatic Prevision in Urban Floods Risk Assessment in Abidjan District (Cote d’Ivoire) ». Dans Climate Change Management, 211–23. Cham : Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-25814-0_15.

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Actes de conférences sur le sujet "Urban Weather Generator (UWG)"

Kamal, Athar, Ibrahim Hassan, Liangzhou (Leon) Wang et Mohammad Azizur Rahman. « Estimating Combined Impact of Urban Heat Island Effect and Climate Change on Cooling Requirements of Tall Residential Buildings in Hot-Humid Locations ». Dans ASME 2022 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/imece2022-94272.

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Abstract Climate change estimates are critical in developing long-term solutions to the dwelling problems that we currently face. This study combines the impact of climate change and the urban heat island effect to study the outcomes of future weather conditions on the cooling of tall residential buildings in hot and humid climates. For the year 2050, we calculate the impact of urban characteristics through the urban weather generator and climate change through the world weather gen tool on the micro-climatic condition of a district in a newly constructed city near Doha, Qatar, the Lusail City. A total of four weather files are compared to the weather data gathered from the established weather station in the city (two for the year 2020 and three for the year 2050). Results reveal that once the open weather map file has been processed through the urban weather generator (UWG) first and then the climate change model, the MAE increases to 3.30, and the RMSE goes to 3.8 with a maximum deviation of 11.4°c occurring. If the process is done the other way around, the climate change model is applied first, and then the UWG file is applied, the MAE of 3.46 is with RMSE of 3.94 with a maximum deviation of 11.3°c occurring. The impact of these weather files is then assessed on a tall residential building in Lusail. A significant increase of 777197 kwh or 20% is seen in the openweather map file that has been processed first through the climate change model and then through the urban weather generator (as compared to the rural weather file); an increase of 739983 kwh or 19% is seen in the openweather map file that has been processed first through the UWG and then through the climate change model; finally close to 22.6 percent increase or 874088 kwh is seen in the openweather map file that has been processed first through the climate change model and then through the climate change model.

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Gonçalves, Pedro Henrique, João Pedro Silva Ribeiro, Clarissa Sartori Ziebell, Marília Guimarães Rodrigues, Ernestina Rita Meira Engel et Tábata Hada Passos. « Estudo da interferência da camada limite planetária (CLP) no efeito da ilha de calor urbano (ICU) através da simulação urban weather generator (UWG) ». Dans XVII ENCONTRO NACIONAL DE CONFORTO NO AMBIENTE CONSTRUÍDO. ANTAC, 2023. http://dx.doi.org/10.46421/encac.v17i1.3762.

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Cada vez mais, nota-se a importância dos estudos climáticos em contextos urbanos. O efeito da Ilha de Calor Urbano (ICU) é influenciado pela urbanização, sendo cada vez mais frequente nas cidades. Nesse contexto, torna-se essencial avaliações do clima local e suas implicações. O objetivo do estudo é avaliar a influência da variação da altura da camada limite planetária (CLP) como dado de entrada do componente Urban Weather Generator. A delimitação espacial corresponde a uma área urbana do município de Anápolis, Goiás. A metodologia foi desenvolvida em cinco etapas: (1) definição do recorte e levantamento de dados; (2) modelagem da geometria; (3) definição das características construtivas das geometrias; (4) entrada de dados no DragonFly; e (5) simulação e análise dos resultados. Os resultados mostram as diferentes variações exercidas pelos parâmetros no modelo. De forma geral, há aumento da temperatura média durante todo o ano em relação ao arquivo climático meteorológico. A partir do modelo, observa-se que quanto menor a altura da camada limite noturna, maior é a temperatura média do ar. A variação da altura da camada limite noturna afeta mais os resultados das temperaturas médias do que a diurna. A partir do estudo, nota-se que a modificação do uso do solo com impermeabilização leva a mudanças significativas na temperatura da camada limite e na qualidade do ar. Assim, o estudo dos fenômenos climáticos se mostra importante, para análise dos efeitos adversos da urbanização no clima local e regional.

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Hashemi, Farzad, Lisa Domenica iulo et UTE POERSCHKE. « A Novel Approach for Investigating Canopy Heat Island Effects on Building Energy Performance : A Case Study of Center City of Philadelphia, PA ». Dans 2020 ACSA Fall Conference. ACSA Press, 2020. http://dx.doi.org/10.35483/acsa.aia.fallintercarbon.20.30.

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Because of the urban heat island (UHI) effect, an urban agglomeration is typically warmer than its surrounding rural area. Today, UHI effects are a global concern and have been observed in cities regardless of their locations and size. These effects threaten the health and productivity of the urban population, moreover, they alter buildings energy performance. The negative impacts of UHI on human welfare have been confirmed broadly during the past decades by several studies. However, the effects of increased temperatures on the energy consumption of buildings still need a comprehensive investigation. Moreover, considering the UHI effects at the early stages of the design process is still not pervasive due to the lack of straightforward and convenient methodologies to include these effects in the estimation process of buildings’ energy consumption. To fill the mentioned gaps, a novel methodology of coupling the Local Climate Zones (LCZs) classification system and the Urban Weather Generator (UWG) model is proposed in this study to evaluate the UHI impacts on the energy consumption of various building typologies positioned in different climate zones. The methodology is applied to the most populated area of city of Philadelphia, Center City, and modified Typical Meteorological Year (mTMY) data comprising the canopy heat islands effect in the scale of an urban block or a neighborhood are produced in the format of .epw. The initial results of this study show an average of 2.7 °C temperature difference between existing local climate zones of Center City and reference TMY3 weather data recorded at Philadelphia International Airport during three sequential summer days. The generated weather data then were incorporated into an Urban Building Energy Model (UBEM) to simulate the spatiotemporal differentiation of energy demand for cooling and heating end-uses at each building typology under two scenarios of weather data i.e. mTMY and TMY3 data.

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Nakano, Aiko, Bruno Bueno, Leslie Norford et Christoph Reinhart. « Urban Weather Generator – A Novel Workflow for Integrating Urban Heat Island Effect Within Urban Design Process ». Dans 2015 Building Simulation Conference. IBPSA, 2015. http://dx.doi.org/10.26868/25222708.2015.2909.

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Hamdi, Hiba, Laure Roupioz, Thomas Corpetti, Xavier Briottet et Antoine Lefebvre. « Evaluation of Urban Weather Generator for air temperature and urban heat islands simulation over Toulouse (France) ». Dans 2023 Joint Urban Remote Sensing Event (JURSE). IEEE, 2023. http://dx.doi.org/10.1109/jurse57346.2023.10144216.

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Tibana, Yehisson, Estatio Gutierrez, M. Arend et J. E. Gonzalez. « Building Peak Load Management With High Resolution Weather Data ». Dans ASME 2015 9th International Conference on Energy Sustainability collocated with the ASME 2015 Power Conference, the ASME 2015 13th International Conference on Fuel Cell Science, Engineering and Technology, and the ASME 2015 Nuclear Forum. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/es2015-49233.

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Dense urban environments are exposed to the combined effects of rising global temperatures and urban heat islands. This combination is resulting in increasing trends of energy consumption in cities, associated mostly with air conditioning to maintain indoor human comfort conditions. During periods of extreme summer weather, electrical usage usually reaches peak loads, stressing the electrical grid. The purpose of this study is to explore the use of available, high resolution weather data by effectively preparing a building for peak load management. The subject of study is a 14 floor, 620,782 sq ft building located in uptown Manhattan, New York City (40.819257 N, −73.949288 W). To precisely quantify thermal loads of the buildings for the summer conditions; a single building energy model (SBEM), the US Department of Energy EnergyPlus™ was used. The SBEM was driven by a weather file built from weather data of the urbanized weather forecasting model (uWRF), a high resolution weather model coupled to a building energy model. The SBEM configuration and simulations were calibrated with winter actual gas and electricity data using 2010 as the benchmark year. In order to show the building peak load management, demand response techniques and technologies were implemented. The methods used to prepare the building included generator usage during high peak loads and use of a thermal storage system. An ensemble of cases was analyzed using current practice, use of high resolution weather data, and use of building preparation technologies. Results indicated an average summer peak savings of more than 30% with high resolution weather data.

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