Testing the New 3d Bag Dataset for Energy Demand Estimation of Residential Buildings

León-Sánchez, C.; Giannelli, D.; Agugiaro, G.; Stoter, J.E.

doi:10.5194/isprs-archives-xlvi-4-w1-2021-69-2021

Cited by 9 publications

(9 citation statements)

References 3 publications

(3 reference statements)

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“…At the same time, we plan to carry out the same set of tests in (at least) another country/place ideally at higher latitudes. A possible candidate could be a test area in the Netherlands, where some preliminary work has already been carried out (León-Sánchez et al, 2021).…”

Section: Discussionmentioning

confidence: 99%

Comparison and Evaluation of Different Gis Software Tools to Estimate Solar Irradiation

Giannelli

León-Sánchez

Agugiaro

2022

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

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Abstract. In this paper, five commonly used software tools to estimate solar radiation in the urban context (GRASS GIS, ArcGIS, SimStadt, CitySim and Ladybug) are run on the same test site and are compared in terms of input data requirements, usability, and accuracy of the results. Spatial and weather data have been collected for an area located in the Brazilian city of São Paulo, in the district of Santana. The test area surrounds a weather station, for which meteorological data of the last 15 years have been collected and used as ground truth when analysing and comparing the simulation results. In terms of spatial data, raster- and vector-based models of the study area have been generated in order to comply with the different input requirements. More specifically, in the case of the vector-based tools (SimStadt, CitySim and Ladybug), a common 3D model based on CityGML and containing buildings, vegetation (trees) and terrain has been generated and used as a common urban model. The paper presents the findings and discusses the results not only from a numerical point of view, but also from the perspective of the overall usability of the software in terms of data requirements, simulation time and task automatisation.

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Section: Discussionmentioning

confidence: 99%

Comparison and Evaluation of Different Gis Software Tools to Estimate Solar Irradiation

Giannelli

León-Sánchez

Agugiaro

2022

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

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“…A city digital twin, which is capable of visualization and spatial analysis, may be a solution to this problem. Existing open-source data (e.g., LoD 2 building models of The Netherlands [62]) can be used for scalable visualization, while high-resolution data and precise façade construction are not mandatorily required [63]. The ultimate goal is to provide basic visualization about the 3D built environment to help develop a helicopter view for buyers and thus, to some extent, offset the common information asymmetry in the property market.…”

Section: Discussionmentioning

confidence: 99%

The Perception of the Vertical Dimension (3D) through the Lens of Different Stakeholders in the Property Market of China

Ying

Koeva

Kuffer

et al. 2022

Land

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China has experienced fast urbanization with a growing urban population, which has inevitably led to the adoption of a vertical housing style with high-rise buildings. However, how people subjectively perceive the vertical dimension (3D) in the property market is neither adequately documented nor well understood. The 3D perception helps us to understand a myriad of social and psychological effects of living in high-rise buildings. We organized and conducted semi-structured expert interviews, focus groups, and the circulation and compilation of questionnaires in Xi’an, China, to investigate how different stakeholders in the property market perceive 3D. The results show that: (1) real estate developers do not adjust property prices for specific 3D factors, and the local government does not consider 3D in housing policies; (2) the current status of 3D modeling in Xi’an is still in the embryonic state; (3) 3D factors are highly valued by buyers but not well-understood by real estate developers and local government. In addition, 3D factors score higher than horizontal (2D) factors (by 1.12 to 0.88). Gender and age groups do not influence housing preferences concerning 2D and 3D factors. These findings provide valuable insights for real estate developers concerning pricing policies and the local government concerning housing policies. In the future, 3D perceptions and factors should be prioritized in order to improve urban infrastructure and ensure the increased availability of, and fair public access to welfare related to 3D in urban areas.

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“…While the broad scope of the Energy ADE and its detailed modularisation contribute to its use in a wide variety of applications, this complexity is usually not needed for simple applications. Thus, the Karlsruhe Institute of Technology created a subset for (semi) steady-state calculations, called the Energy ADE KIT profile, which is consequently easier to use (León-Sánchez et al, 2021).…”

Section: Energy Adementioning

confidence: 99%

“…(Agugiaro, 2016) Well-known energy simulation tools make use of 3D city models as well, such as SimStadt (Duminil et al, 2021), which uses a steady-state model based on the German standard DIN V 18599 for automatically calculating monthly energy demand of buildings (Scartezzini et al, 2015). The software accepts CityGML files as input data, while the missing additional information, such as building physics parameters and weather data, can be retrieved from SimStadt's built-in libraries (León-Sánchez et al, 2021).…”

Section: D City Models For Energy Applicationsmentioning

confidence: 99%

“…One of the most comprehensive of these is the Energy ADE, which is used to store detailed energy-related data of buildings (Agugiaro et al, 2018). This information can then be used in both steady-state and dynamic energy simulations (León-Sánchez et al, 2021) to analyse the current state of buildings as well as to obtain future predictions.…”

Section: Introductionmentioning

confidence: 99%

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Development and Testing of the Cityjson Energy Extension for Space Heating Demand Calculation

Tufan

Ohori

León-Sánchez

et al. 2022

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

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Abstract. 3D city models are frequently used to acquire and store energy-related information of buildings for energy applications. In this context, CityGML is the most common data model, and the Energy ADE, one of its most complex extensions, provides a systematic way of storing detailed energy-related data in XML format. Contrarily, even though CityGML’s JSON-based encoding, CityJSON, has an extension mechanism, an energy-related CityJSON Extension is missing. This paper, therefore, presents the first results of the development of a CityJSON Energy Extension and space heating demand calculation is utilized as the use case. The simplified version of the Energy ADE, called the Energy ADE KIT profile, is used to create a semi-direct translation to the CityJSON Energy Extension. This Extension is then validated through the official validator of CityJSON and the use case, and improvements are made considering the validation results. The space heating demand is calculated according to the Dutch standard NTA 8800 for a subset of Rijssen-Holten in the Netherlands although the solar gains calculation requires further review. The results show that the final CityJSON Energy Extension provides full support for space heating demand calculations based on the NTA 8800 and eliminates the deep hierarchical structure of the Energy ADE. A comparison on CityJSON file sizes shows a 25.2 MB increase after the required input data is stored in a CityJSON + Energy Extension file, which is not significant considering the high amount of data stored in the file. Overall, this paper shows that the CityJSON Energy Extension could provide an easy-to-use alternative to the CityGML Energy ADE.

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Testing the New 3d Bag Dataset for Energy Demand Estimation of Residential Buildings

Cited by 9 publications

References 3 publications

Comparison and Evaluation of Different Gis Software Tools to Estimate Solar Irradiation

Comparison and Evaluation of Different Gis Software Tools to Estimate Solar Irradiation

The Perception of the Vertical Dimension (3D) through the Lens of Different Stakeholders in the Property Market of China

Development and Testing of the Cityjson Energy Extension for Space Heating Demand Calculation

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