Large-Scale Assessment and Visualization of the Energy Performance of Buildings with Ecomaps - Project SUNSHINE: Smart Urban Services for Higher Energy Efficiency

Giovannini, Luca; Pezzi, Stefano; Staso, Umberto Di; Prandi, Federico; Amicis, Raffaele De

doi:10.5220/0004997001700177

Cited by 12 publications

(8 citation statements)

References 7 publications

(3 reference statements)

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“…CityGML is an open semantic data model designed for representing 3D urban information across a wide range of uses and enabling interoperability between systems that support it. The relevance of 3D modelling to building energy analyses has led to CityGML playing an important role in supporting these objectives [7,13,[18][19][20][21]. For example, solar irradiance may be estimated using surface geometry extracted from CityGML [19], but additional modelling is required for heating demand estimation.…”

Section: The Citygml Standard and Energy Modellingmentioning

confidence: 99%

“…The SimStadt energy simulation platform utilised CityGML models to investigate the sensitivity of energy estimates to changes in input variables [7]. Whereas, the SUNSHINE platform also described using CityGML for assessing and visualising energy performance [20]. Murshed et al [23] describe CityBEM, which calculates heating and cooling needs according to an ISO standard method and CityGML data.…”

Section: The Citygml Standard and Energy Modellingmentioning

confidence: 99%

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Modelling Urban Housing Stocks for Building Energy Simulation using CityGML EnergyADE

Rosser

Long

Zakhary

et al. 2019

IJGI

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Understanding the energy demand of a city’s housing stock is an important focus for local and national administrations to identify strategies for reducing carbon emissions. Building energy simulation offers a promising approach to understand energy use and test plans to improve the efficiency of residential properties. As part of this, models of the urban stock must be created that accurately reflect its size, shape and composition. However, substantial effort is required in order to generate detailed urban scenes with the appropriate level of attribution suitable for spatially explicit simulation of large areas. Furthermore, the computational complexity of microsimulation of building energy necessitates consideration of approaches that reduce this processing overhead. We present a workflow to automatically generate 2.5D urban scenes for residential building energy simulation from UK mapping datasets. We describe modelling the geometry, the assignment of energy characteristics based upon a statistical model and adopt the CityGML EnergyADE schema which forms an important new and open standard for defining energy model information at the city-scale. We then demonstrate use of the resulting urban scenes for estimating heating demand using a spatially explicit building energy microsimulation tool, called CitySim+, and evaluate the effects of an off-the-shelf geometric simplification routine to reduce simulation computational complexity.

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Section: The Citygml Standard and Energy Modellingmentioning

confidence: 99%

Section: The Citygml Standard and Energy Modellingmentioning

confidence: 99%

Modelling Urban Housing Stocks for Building Energy Simulation using CityGML EnergyADE

Rosser

Long

Zakhary

et al. 2019

IJGI

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“…CesiumJS has been used for visualization and analysis of CityGML data of Potsdam converted to KML/COLLADA format using 3D City Database (3DCityDB) Importer/Exporter (Yao et al, 2018, Chaturvedi, 2014. CityGML converted to KML using 3DCityDB Importer/Exporter was visualized for assessing the energy performance of buildings using WebGL (Giovannini et al, 2014). Moreover, several case studies in Mainz and Villingen-Schwenningen in Germany have been carried out that use X3DOM and Three.js.…”

Section: Introductionmentioning

confidence: 99%

Extraction and Visualization of 3d Building Models in Urban Areas for Flood Simulation

Kilsedar

Fissore

Pirotti

et al. 2019

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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<p><strong>Abstract.</strong> Floods pose a risk that is likely to worsen in the future due to climate change. Therefore, it is essential that decision makers and domain experts have the tools to evaluate the effects of floods. We developed a tool that visualizes the earth and buildings in three dimensions to simulate floods so that effective strategies can be developed to enhance resilience and mitigate the effects of floods. We opted to use open standards and free and open source software (FOSS) for Web to maximize interoperability, replicability, reusability, and accessibility. As a result of the literature review, we decided to use CityGML and CesiumJS for three-dimensional geospatial data visualization. However, as CityGML data is not available for the cities that our project focuses on, we developed software called shp2city that converts Esri shapefile to CityGML data in LOD1 or LOD2. Moreover, as CityGML data cannot be immediately used with CesiumJS, we used 3DCityDB to store, represent, and manage the CityGML data; 3DCityDB Importer/Exporter to export the CityGML data in KML/COLLADA/glTF format to be used within the 3DCityDB Web-Map-Client that is based on CesiumJS for visualization. Finally, we simulated floods to aid in the informed decision-making process regarding adaptation measures and mitigation of flooding effects.</p>

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“…The main role of the middleware is to ensure the access of information from the 3D city model. The semantic information contained on the 3D city model must be queried by the applications depending on the specific purpose of the client (De Amicis et al, 2011, Giovannini et al,. 2014).…”

Section: Methodsmentioning

confidence: 99%

3D web visualization of huge CityGML models

Prandi

Devigili

Soave

et al. 2015

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Nowadays, rapid technological development into acquiring geo-spatial information; joined to the capabilities to process these data in a relative short period of time, allows the generation of detailed 3D textured city models that will become an essential part of the modern city information infrastructure (Spatial Data Infrastructure) and, can be used to integrate various data from different sources for public accessible visualisation and many other applications. One of the main bottlenecks, which at the moment limit the use of these datasets to few experts, is a lack on efficient visualization systems through the web and interoperable frameworks that allow standardising the access to the city models. The work presented in this paper tries to satisfy these two requirements developing a 3D web-based visualization system based on OGC standards and effective visualization concepts. The architectural framework, based on Services Oriented Architecture (SOA) concepts, provides the 3D city data to a web client designed to support the view process in a very effective way. The first part of the work is to design a framework compliant to the 3D Portrayal Service drafted by the of the Open Geospatial Consortium (OGC) 3D standardization working group. The latter is related to the development of an effective web client able to render in an efficient way the 3D city models.

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Large-Scale Assessment and Visualization of the Energy Performance of Buildings with Ecomaps - Project SUNSHINE: Smart Urban Services for Higher Energy Efficiency

Cited by 12 publications

References 7 publications

Modelling Urban Housing Stocks for Building Energy Simulation using CityGML EnergyADE

Modelling Urban Housing Stocks for Building Energy Simulation using CityGML EnergyADE

Extraction and Visualization of 3d Building Models in Urban Areas for Flood Simulation

3D web visualization of huge CityGML models

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