CityGML at semantic level for urban energy conservation strategies

Saran, Sameer; Wate, Parag; Srivastav, S. K.; Murthy, Y. V. N. Krishna

doi:10.1080/19475683.2014.992370

Cited by 22 publications

(18 citation statements)

References 10 publications

(12 reference statements)

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“…The information about the insolation can be used as one of the factors for estimating the property prices, under the assumption that solar radiation is capitalised in the value of a property [120]. Finally, 3D city models containing windows can be used to predict the indoor illumination [121,122].…”

Section: Estimation Of the Solar Irradiationmentioning

confidence: 99%

Applications of 3D City Models: State of the Art Review

Biljecki

Stoter

Ledoux

et al. 2015

IJGI

610

380

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In the last decades, 3D city models appear to have been predominantly used for visualisation; however, today they are being increasingly employed in a number of domains and for a large range of tasks beyond visualisation. In this paper, we seek to understand and document the state of the art regarding the utilisation of 3D city models across multiple domains based on a comprehensive literature study including hundreds of research papers, technical reports and online resources. A challenge in a study such as ours is that the ways in which 3D city models are used cannot be readily listed due to fuzziness, terminological ambiguity, unclear added-value of 3D geoinformation in some instances, and absence of technical information. To address this challenge, we delineate a hierarchical terminology (spatial operations, use cases, applications), and develop a theoretical reasoning to segment and categorise the diverse uses of 3D city models. Following this framework, we provide a list of identified use cases of 3D city models (with a description of each), and their applications. Our study demonstrates that 3D city models are employed in at least 29 use cases that are a part of more than 100 applications. The classified inventory could be useful for scientists as well as stakeholders in the geospatial industry, such as companies and national mapping agencies, as it may serve as a reference document to better position their operations, design product portfolios, and to better understand the market.

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Section: Estimation Of the Solar Irradiationmentioning

confidence: 99%

Applications of 3D City Models: State of the Art Review

Biljecki

Stoter

Ledoux

et al. 2015

IJGI

610

380

View full text Add to dashboard Cite

show abstract

“…This is usually achieved by applying different regression analyses, either linear or multivariate, to sufficient historical performance data (usually energy bills data), although Bayesian and Monte Carlo based approaches could be also employed Figure 10. The prediction process adopted by Saran et al (2015) (Fumo and Rafe Biswas, 2015a). However, historical performance data must have a high level of statistical significance to meet the accuracy requirements of energy planning (Pedersen, 2007).…”

Section: Bottom-up Statistical Methodsmentioning

confidence: 99%

“…More precisely, to target building areas with retrofits potentials through diagnosing their heating demand (Nouvel et al, 2014). However, recently their applicability has been extended to cover the identification as well as assessment of renewable energy potentials across building areas (Saran et al, 2015).…”

Section: Applicability In the Building Life-cyclementioning

confidence: 99%

“…After that, shaded triangles were combined to represent the overall shaded roof area. Conversely, Saran et al (2015) addressed the evaluation of PV systems from a completely different perspective by proposing a new approach built upon incorporating building energy simulation tools outputs into CityGML, (Fig.9). This was accomplished by first, generating a 3D CAD model using conventional CAD tools, in function of collected geometric parameters (e.g.…”

Section: Applicability In the Building Life-cyclementioning

confidence: 99%

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Energy planning and forecasting approaches for supporting physical improvement strategies in the building sector: A review

Chalal

Medjdoub

White

et al. 2016

Renewable and Sustainable Energy Reviews

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The strict CO2 emission targets set to tackle the global climate change associated with greenhouse gas emission exerts so much pressure on our cities which contribute up to 75 % of the global carbon dioxide emission level, with buildings being the largest contributor (UNEP, 2015). Premised on this fact, urban planners are required to implement proactive energy planning strategies not only to meet these targets but also ensure that future cities development is performed in a way that promotes energy-efficiency. This article gives an overview of the stateof-art of energy planning and forecasting approaches for aiding physical improvement strategies in the building sector. Unlike previous reviews, which have only addressed the strengths as well as weaknesses of some of the approaches while referring to some relevant examples from the literature, this article focuses on critically analysing more approaches namely; 2D GIS and 3DGIS (CityGML) based energy prediction approaches, based on their frequent intervention scale, applicability in the building life cycle, and conventional prediction process. This will be followed by unravelling the gaps and issues pertaining to the reviewed approaches. Finally, based on the identified problems, future research prospects are recommended.

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“…chimneys and antennas), and mandatory roof overhangs. This enhancement benefits some applications, for instance, openings are important for estimating heat losses (Lee et al, 2013), luminance mapping and glare analysis (Saran et al, 2015), planning energy-efficient retrofits (Previtali et al, 2014), and for accounting the area available on vertical walls for solar panel installation (Catita et al, 2014). LOD3 models are also appreciated in visualisation (Garnett and Freeburn, 2014).…”

Section: Lod3 Familymentioning

confidence: 99%

An improved LOD specification for 3D building models

Biljecki

Ledoux

Stoter

2016

Computers, Environment and Urban Systems

335

176

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The level of detail (LOD) concept of the OGC standard CityGML 2.0 is intended to differentiate multi-scale representations of semantic 3D city models. The concept is in practice principally used to indicate the geometric detail of a model, primarily of buildings. Despite the popularity and the general acceptance of this categorisation, we argue in this paper that from a geometric point of view the five LODs are insufficient and that their specification is ambiguous.We solve these shortcomings with a better definition of LODs and their refinement. Hereby we present a refined set of 16 LODs focused on the grade of the exterior geometry of buildings, which provide a stricter specification and allow less modelling freedom. This series is a result of an exhaustive research into currently available 3D city models, production workflows, and capabilities of acquisition techniques. Our specification also includes two hybrid models that reflect common acquisition practices. The new LODs are in line with the LODs of CityGML 2.0, and are intended to supplement, rather than replace the geometric part of the current specification. While in our paper we focus on the geometric aspect of the models, our specification is compatible with different levels of semantic granularity. Furthermore, the improved LODs can be considered format-agnostic.Among other benefits, the refined specification could be useful for companies for a better definition of their product portfolios, and for researchers to specify data requirements when presenting use cases of 3D city models. We support our refined LODs with experiments, proving their uniqueness by showing that each yields a different result in a 3D spatial operation.Keywords: Level of detail; 3D city modelling; 3D GIS; 3D building models; CityGML; Scale Highlights• CityGML LODs are an industry standard for conveying the grade of 3D city models.• The 5 LODs are not defined precisely, and they are not sufficient for this purpose.• We present a refined series of 16 LODs that overcomes these issues.

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CityGML at semantic level for urban energy conservation strategies

Cited by 22 publications

References 10 publications

Applications of 3D City Models: State of the Art Review

Applications of 3D City Models: State of the Art Review

Energy planning and forecasting approaches for supporting physical improvement strategies in the building sector: A review

An improved LOD specification for 3D building models

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