Impact of Urban Morphology on Infiltration-Induced Building Energy Consumption

Jurelionis, Andrius; Bouris, D.

doi:10.3390/en9030177

Cited by 18 publications

(6 citation statements)

References 18 publications

(26 reference statements)

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“…Although LOD1 models are simple, they are widely used in a multitude of applications, such as estimating shadows (Strzalka et al, 2012), solar potential estimations (Peronato et al, 2016;Jaugsch and Löwner, 2016), urban air flow analyses (Jurelionis and Bouris, 2016;Petrescu et al, 2016), determining the sky view factor (Ha et al, 2016), satellite visibility predictions (Ellul et al, 2016), and simulating floods (Varduhn et al, 2015). In fact, they may sometimes be preferred over the more complex LOD2 models due to simplicity, ease of acquisition, and fairly good results they provide.…”

Section: Lod1 Modelsmentioning

confidence: 99%

Generating 3D city models without elevation data

Biljecki

Ledoux

Stoter

2017

Computers, Environment and Urban Systems

121

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Elevation datasets (e.g. point clouds) are an essential but often unavailable ingredient for the construction of 3D city models. We investigate in this paper to what extent can 3D city models be generated solely from 2D data without elevation measurements. We show that it is possible to predict the height of buildings from 2D data (their footprints and attributes available in volunteered geoinformation and cadastre), and then extrude their footprints to obtain 3D models suitable for a multitude of applications. The predictions have been carried out with machine learning techniques (random forests) using 10 different attributes and their combinations, which mirror different scenarios of completeness of real-world data. Some of the scenarios resulted in surprisingly good performance (given the circumstances): we have achieved a mean absolute error of 0.8 m in the inferred heights, which satisfies the accuracy recommendations of CityGML for LOD1 models and the needs of several GIS analyses. We show that our method can be used in practice to generate 3D city models where there are no elevation data, and to supplement existing datasets with 3D models of newly constructed buildings to facilitate rapid update and maintenance of data.

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Section: Lod1 Modelsmentioning

confidence: 99%

Generating 3D city models without elevation data

Biljecki

Ledoux

Stoter

2017

Computers, Environment and Urban Systems

121

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“…We note that uneven buildings or land use may impose a spatial contrast of dynamic and thermal forcing, which can influence the features of turbulent flow [e.g., Chen et al ., ; Giometto et al ., ]. Further introducing complex surface with variable block's shape and/or height is a potential work in the future [ Jurelionis and Bouris , ].…”

Section: Configuration Of Numerical Model and Experimentsmentioning

confidence: 99%

Interaction between turbulent flow and sea breeze front over urban‐like coast in large‐eddy simulation

et al. 2017

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Turbulent flow and its interaction with a sea breeze front (SBF) over an urban‐like coast with a regular block array were investigated using a building‐resolving computational fluid dynamics model. It was found that during daytime with an offshore ambient flow, streaky turbulent structures tended to grow within the convective boundary layer (CBL) over a warm urban surface ahead of the SBF. The structures were organized as streamwise streaks at an interval of a few hundred meters, which initiated at the rooftop level with strong wind shear and strengthens in the CBL with moderate buoyancy. The streaks then interacted with the onshore‐propagating SBF as it made landfall. The SBF, which was initially characterized as a shallow and quasi‐linear feature over the sea, developed three‐dimensional structures with intensified updrafts at an elevated frontal head after landfall. Frontal updrafts were locally enhanced at intersections where the streaks merged with the SBF, which greatly increased turbulent fluxes at the front. The frontal line was irregular because of merging, tilting, and transformation effects of vorticity associated with streaky structures. Inland penetration of the SBF was slowed by the frictional effect of urban‐like surfaces and turbulent flow on land. The overall SBF intensity weakened after the interaction with turbulent flow. These findings aid understanding of local weather over coastal cities during typical sea breeze conditions.

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“…Therefore its thermal losses may be reduced. Furthermore, the urban morphology modifies airflows around buildings, and, consequently, impacts convective heat exchanges [94], [95] and the potential of natural ventilation of urban buildings, including infiltration [96]. In recent years, significant progress has been made towards the development of simulation workflows to estimate overall operational building energy use but have often been limited to a few neighbourhoods [92].…”

Section: Section 34: Urban Energy Demand and Systemsmentioning

confidence: 99%

A review of assessment methods for the urban environment and its energy sustainability to guarantee climate adaptation of future cities

Mauree

Naboni

Coccolo

et al. 2019

Renewable and Sustainable Energy Reviews

156

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Reviewed assessment methods for the urban environment • Critically analysed papers working on urban climate and energy demand, outdoor thermal comfort and the urban energy systems. • Demonstrated the links between the processes • An integrated workflow is proposed for assessment of the urban environment. AbstractThe current climate change is calling for a drastic reduction of energy demand as well as of greenhouse gases. Besides this, cities also need to adapt to face the challenges related to climate change. Cities, with their complex urban texture and fabric, can be represented as a diverse ecosystem that does not have a clear and defined boundary. Multiple software tools that have been developed, in recent years, for assessment of urban climate, building energy demand, the outdoor thermal comfort and the energy systems. In this review, we, however, noted that these tools often address only one or two of these urban planning aspects. There is nonetheless an intricate link between them. For instance, the outdoor comfort assessment has shown that there is a strong link between biometeorology and architecture and urban climate. Additionally, to address the challenges of the energy transition, there will be a convergence of the energy needs in the future with an energy nexus regrouping the energy demand of urban areas. It is also highlighted that the uncertainty related to future climatic data makes urban adaptation and mitigation strategies complex to implement and to design given the lack of a comprehensive framework. We thus conclude by suggesting the need for a holistic interface to take into account this multi-dimensional problem. With the help of such a platform, a positive loop in urban design can be initiated leading to the development of low carbon cities and/or with the use of blue and green infrastructure to have a positive impact on the mitigation and adaptation strategies.

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Impact of Urban Morphology on Infiltration-Induced Building Energy Consumption

Cited by 18 publications

References 18 publications

Generating 3D city models without elevation data

Generating 3D city models without elevation data

Interaction between turbulent flow and sea breeze front over urban‐like coast in large‐eddy simulation

A review of assessment methods for the urban environment and its energy sustainability to guarantee climate adaptation of future cities

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