Synergetic urban microclimate and energy simulation parametric workflow

Natanian, Jonathan; Maiullari, D.; Yezioro, Abraham; Auer, Thomas

doi:10.1088/1742-6596/1343/1/012006

Cited by 19 publications

(15 citation statements)

References 12 publications

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“…Another study of Natanian et al (2019) couples ENVImet and EnergyPlus to bring together energy and microclimatic modeling for a synergetic assessment at the block scale in the climatic context of Tel Aviv. A comparison of the daily resultant air temperature recorded for three different weather files (EnergyPlus, Urban Weather Generator (UWG) and ENVI-met) for the 26th of July recorded for the highest density scenario for three different typologies (courtyard, scatter and high-rise) shows a night-time air temperature increase of up to 1.5 °C within the UWG file compared to the rural EnergyPlus file.…”

Section: Discussionmentioning

confidence: 99%

“…External wall 0.04 0.13 0.04 0.13 Pitched roof 0.04 0.17 0.04 0.10 Flat roof 0.13 0.17 0.13 0.10 Ground surface 0.04 0.00 0.04 0.00 Fig. 8 Floor plan of all floors of the three-storey apartment building used within the model calculations to assess which building components of the respective building types can be neglected (Natanian et al 2019) resistance, then to a change in albedo and least to a change in heat capacity.…”

Section: Sensitivity Analysismentioning

confidence: 99%

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Simulation of urban microclimate with uhiSolver: software validation using simplified material data

Teichmann

Baumgartner

Horváth³

et al. 2021

Ecol Process

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Background Increasing urbanization as well as global warming requires an investigation of the influence of different construction methods and ground surfaces on the urban heat island effect (UHI effect). The extent of the influence of the urban structure, the building materials used and their surfaces on the UHI effect can be significantly reduced already in the planning phase using a designated OpenFOAM-based solver “uhiSolver”. Results In the first part of this research work, it is shown that inner building details and components can be neglected while still obtaining sufficiently accurate results. For this purpose, the building model was divided into two layers: a surface layer without mass, where the interaction with radiation takes place, and a component layer, which contains all relevant components and cavities of the building represented with mass-averaged material properties. It has become apparent that the three parameters—albedo, heat capacity and thermal resistance—which have a decisive influence on the interaction, have different effects on the component temperatures and the surface temperatures. In the second part of this research work, dynamic 3D computational fluid dynamics (CFD) simulations are performed with uhiSolver for a residential block in Vienna. Comparing the simulation results with measurement data collected on site, it is shown that the simplified assumption of homogeneous material data for building bodies provides very good results for the validation case investigated. However, the influence of the greening measures in the courtyard of the residential block on the air temperature is found to be negligible. Furthermore, it was observed that due to locally higher radiation density, lower air velocities and higher air humidity, the apparent temperature in the courtyard is sometimes perceived to be higher than in the adjacent streets, despite the lower air temperature. Conclusions Simplifying the modeling process of the uhiSolver software by reducing the model complexity helps to reduce manual work for setting up appropriate boundary conditions of buildings. Compared to market competitors, good results are obtained for the validation case Kandlgasse presented in this research work, despite the simplifications proposed. Thus, uhiSolver can be used as a robust analytical tool for urban planning.

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Section: Discussionmentioning

confidence: 99%

Section: Sensitivity Analysismentioning

confidence: 99%

Simulation of urban microclimate with uhiSolver: software validation using simplified material data

Teichmann

Baumgartner

Horváth³

et al. 2021

Ecol Process

View full text Add to dashboard Cite

show abstract

“…The Dragonfly (DF) plug-in was used to rematerialise and convert the GH model to the INX model (grid size = 3 × 3 m, Z 0 = 2 m, telescoping factor = 18%) for the subsequent ENVI-met microclimate simulations (Chris Mackey et al, 2020;Natanian et al, 2019). ENVI-met software v4.4.6 was used, which features the Indexed View Sphere (IVS) algorithms to improve accuracy in modelling surface temperature and reflected radiation.…”

Section: Simulation Domainsmentioning

confidence: 99%

Machine learning-based evaluation of dynamic thermal-tempering performance and thermal diversity for 107 Cambridge courtyards

Peng

Debnath

Bardhan

et al. 2023

Sustainable Cities and Society

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“…For the Mediterranean climate of Tel Aviv, Natanian et al showed the connection between the urban microclimate and the energy demand of buildings [16,17]. They conducted building energy simulations for a single day to determine maximum cooling energy demands by obtaining urban weather conditions from simulations of the UHI effect.…”

Section: State Of Researchmentioning

confidence: 99%

Connecting building density and vegetation to investigate synergies and trade-offs between thermal comfort and energy demand – a parametric study in the temperate climate of Germany

Reitberger,

Theilig,

Vollmer

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

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Climate change and increasing urbanization call for combined mitigation and adaptation measures. Therefore, this work shows a method to investigate affected aspects of urban space for their synergies and trade-offs. The focus lies on the interaction between building density and urban trees, as these are essential parameters for possible solutions. The combined, parametric simulation of indoor and outdoor spaces provides a more complete picture of the behavior of individual assessment aspects (e.g. indoor and outdoor thermal comfort, building energy demand). Overlaying the results allows us to identify interactions and to conclude on the effect of interventions such as building refurbishment. In this study, we apply the workflow to a generic neighborhood in Germany. Our results demonstrate a simultaneous behavior of indoor and outdoor thermal comfort, whereas there is a trade-off for heating energy demand. Increasing energy efficiency mitigated this trade-off in some density-green-space configurations. Our case study suggests the combination of green and gray interventions for achieving synergies that contribute to the sustainable transformation of the urban building stock. We conclude that during early planning phases, synergy potentials and trade-offs are already identifiable but context-specific, giving perspectives for further research in this area.

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Synergetic urban microclimate and energy simulation parametric workflow

Cited by 19 publications

References 12 publications

Simulation of urban microclimate with uhiSolver: software validation using simplified material data

Simulation of urban microclimate with uhiSolver: software validation using simplified material data

Machine learning-based evaluation of dynamic thermal-tempering performance and thermal diversity for 107 Cambridge courtyards

Connecting building density and vegetation to investigate synergies and trade-offs between thermal comfort and energy demand – a parametric study in the temperate climate of Germany

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