Modelling Urban Housing Stocks for Building Energy Simulation using CityGML EnergyADE

Rosser, Julian F.; Long, Gavin; Zakhary, Sameh; Boyd, Doreen S.; Robinson, Darren

doi:10.3390/ijgi8040163

Cited by 24 publications

(11 citation statements)

References 34 publications

(46 reference statements)

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“…Furthermore, the XML structure opens possibilities for data exchange between different tools, users, and stakeholders. As of today, the Energy ADE is supported by a number of urban energy simulators such as SimStadt ( Nouvel et al, 2015a , Nouvel et al, 2015b ), TEASER+ (Avichal Malhotra et al, 2019 ), CitySimPro ( Rosser et al, 2019 ), EnergyPlus ( Lilis et al, 2016 ) or the Ladybug tools of grasshopper for Rhinoceros3D ( Wang 2020 ). Many use cases such as the city of Helsinki in Finland ( Rossknecht and Airaksinen 2020 ), the County of Ludwigsburg in Baden-Wuerttemberg, Germany ( Bruse et al, 2015 ), the district of Meidling in Vienna, Austria ( Agugiaro 2016 ) have successfully demonstrated the use of Energy ADE along with urban energy simulators to assess their building stock energy demand.…”

Section: Methodsmentioning

confidence: 99%

Using 3D CityGML for the Modeling of the Food Waste and Wastewater Generation—A Case Study for the City of Montréal

et al. 2021

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The paper explains a workflow to simulate the food energy water (FEW) nexus for an urban district combining various data sources like 3D city models, particularly the City Geography Markup Language (CityGML) data model from the Open Geospatial Consortium, Open StreetMap and Census data. A long term vision is to extend the CityGML data model by developing a FEW Application Domain Extension (FEW ADE) to support future FEW simulation workflows such as the one explained in this paper. Together with the mentioned simulation workflow, this paper also identifies some necessary FEW related parameters for the future development of a FEW ADE. Furthermore, relevant key performance indicators are investigated, and the relevant datasets necessary to calculate these indicators are studied. Finally, different calculations are performed for the downtown borough Ville-Marie in the city of Montréal (Canada) for the domains of food waste (FW) and wastewater (WW) generation. For this study, a workflow is developed to calculate the energy generation from anaerobic digestion of FW and WW. In the first step, the data collection and preparation was done. Here relevant data for georeferencing, data for model set-up, and data for creating the required usage libraries, like food waste and wastewater generation per person, were collected. The next step was the data integration and calculation of the relevant parameters, and lastly, the results were visualized for analysis purposes. As a use case to support such calculations, the CityGML level of detail two model of Montréal is enriched with information such as building functions and building usages from OpenStreetMap. The calculation of the total residents based on the CityGML model as the main input for Ville-Marie results in a population of 72,606. The statistical value for 2016 was 89,170, which corresponds to a deviation of 15.3%. The energy recovery potential of FW is about 24,024 GJ/year, and that of wastewater is about 1,629 GJ/year, adding up to 25,653 GJ/year. Relating values to the calculated number of inhabitants in Ville-Marie results in 330.9 kWh/year for FW and 22.4 kWh/year for wastewater, respectively.

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Section: Methodsmentioning

confidence: 99%

Using 3D CityGML for the Modeling of the Food Waste and Wastewater Generation—A Case Study for the City of Montréal

et al. 2021

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“…[26] Reflectance Some types of materials dispose of high reflectance for solar radiation, sound, and noise level such as glass. [43,44] Transmittance The fraction of solar radiation diffused through a specific type of materials related to its opacity or transparence (called also solar heat gain coefficient) [45] Conductivity The thermal conductivity of the material (W/mK) [44] Specific heat Specific heat capacity of the material (J/kgK) Glazing properties Openings (windows, doors) with double/triple glazing properties decrease the amount of diffused noise and air from outdoor to indoor or within indoors different units. [46]…”

Section: Absorptionmentioning

confidence: 99%

3D Variables Requirements for Property Valuation Modeling Based on the Integration of BIM and CIM

et al. 2021

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The growing rate of urbanization and vertical urban development has aroused the significance of geo-related variables for property units disposed vertically within the same building. Among these, 3D indoor physical and outdoor environmental variables are impacting the property value for each building unit. However, in the literature, the identified 3D variables, by using hedonic pricing models (HPM) for property valuation, are mainly restricted to 3D visualization. Their use in 3D simulation for an accurate evaluation of the property value is still limited. Furthermore, their value is often defined for a specific valuation purpose (e.g., taxation). This paper aims to investigate 3D variables with a significant impact on property value, to combine them with 3D technical requirements and to be integrated in a future valuation model. Moreover, their 3D spatial and non-spatial elements are analyzed to identify which variables can be provided from 3D city models and building scale elements. To accomplish this, the potential of 3D building information modeling (BIM) and city information modeling (CIM) in property valuation is examined. From indoors; BIM/IFC (Industry Foundation Classes) models are the main data sources for structural and living quality variables. While from outdoors, environmental variables and the surrounding building’s information are provided from 3D city models (CityGML).

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“…Furthermore, it being an extension to CityGML allows open data exchange between different tools, users, and stakeholders. As of today, many urban energy simulators such as TEASER+ (Malhotra et al, 2019), EnergyPlus (Lilis et al, 2016), the Ladybug tools of Grasshopper plugin for Rhino-ceros3D (Wang, 2020), CitySimPro (Rosser et al, 2019), and SimStadt (Nouvel et al, 2015), supports Energy ADE. Different use cases such as the County of Ludwigsburg in Baden-Wuerttemberg, Germany (Bruse et al, 2015), the district of Meidling in Vienna, Austria (Agugiaro, 2016), and the city of Helsinki in Finland (Rossknecht and Airaksinen, 2020) have successfully demonstrated the use of Energy ADE in assessing building stock energy demands.…”

Section: Citygml and Adementioning

confidence: 99%

Inception of Harmonising Data Silos and Urban Simulation Tools Using 3d City Models for Sustainable Management of the Urban Food Water and Energy Resources

Padsala

Gebetsroither-Geringer

Peters-Anders

et al. 2021

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. This paper explains the first insights into the ongoing development of a CityGML based Food Water Energy Application Domain Extension (FWE ADE). Cities are undergoing rapid expansion throughout the globe. As a result, they face a common challenge to provide food, water and energy (FWE) supplies under healthy and economically productive conditions. Consequently, new tools and techniques must be developed to support decision-makers, such as governments, public or private infrastructure providers, investors and city developers, to understand, quantify and visualise multiple interdependent impacts for the sustainable supply of the FWE resources. However, a common practice amongst these stakeholders is to work in their data silos, which frequently results in a lack of data integration and communication between domain specific simulation tools belonging to different infrastructure departments. As a result, insights related to critical indicators showing inter-dependency amongst different urban infrastructure are missed and hence, not included in the cities’ redevelopment action plan. This paper documents the first ongoing attempt by an international group of domain experts from food, water, energy, urban design and geoinformatics to harmonise the data silos of food, water and energy domain for the case study regions of the County of Ludwigsburg in Germany, the city of Vienna in Austria and the neighbourhood of Gowanus in New York, the United States of America.

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Modelling Urban Housing Stocks for Building Energy Simulation using CityGML EnergyADE

Cited by 24 publications

References 34 publications

Using 3D CityGML for the Modeling of the Food Waste and Wastewater Generation—A Case Study for the City of Montréal

Using 3D CityGML for the Modeling of the Food Waste and Wastewater Generation—A Case Study for the City of Montréal

3D Variables Requirements for Property Valuation Modeling Based on the Integration of BIM and CIM

Inception of Harmonising Data Silos and Urban Simulation Tools Using 3d City Models for Sustainable Management of the Urban Food Water and Energy Resources

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