On the design of an urban data and modeling platform and its application to urban district analyses

Eicker, Ursula; Weiler, Verena; Schumacher, Jürgen; Braun, Reiner

doi:10.1016/j.enbuild.2020.109954

Cited by 47 publications

(27 citation statements)

References 16 publications

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“…In the domain of urban management and smart cities, Eicker et al [53] proposed an integrated urban platform as the essential software infrastructure for smart, sustainable, and resilient city planning, operation, and maintenance, which is based on 3D city models and workflows for city scale building energy modelling. A method to support energy retrofitting of historic districts is proposed by Egusquiza et al [54] and a CityGML is enriched with cultural and energy domain extensions.…”

Section: Applicability Of 3d City Modelsmentioning

confidence: 99%

Building Virtual 3D City Model for Smart Cities Applications: A Case Study on Campus Area of the University of Novi Sad

Jovanović¹,

Milovanov²,

Ruskovski³

et al. 2020

IJGI

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The Smart Cities data and applications need to replicate, as faithfully as possible, the state of the city and to simulate possible alternative futures. In order to do this, the modelling of the city should cover all aspects of the city that are relevant to the problems that require smart solutions. In this context, 2D and 3D spatial data play a key role, in particular 3D city models. One of the methods for collecting data that can be used for developing such 3D city models is Light Detection and Ranging (LiDAR), a technology that has provided opportunities to generate large-scale 3D city models at relatively low cost. The collected data is further processed to obtain fully developed photorealistic virtual 3D city models. The goal of this research is to develop virtual 3D city model based on airborne LiDAR surveying and to analyze its applicability toward Smart Cities applications. It this paper, we present workflow that goes from data collection by LiDAR, through extract, transform, load (ETL) transformations and data processing to developing 3D virtual city model and finally discuss its future potential usage scenarios in various fields of application such as modern ICT-based urban planning and 3D cadaster. The results are presented on the case study of campus area of the University of Novi Sad.

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Section: Applicability Of 3d City Modelsmentioning

confidence: 99%

Building Virtual 3D City Model for Smart Cities Applications: A Case Study on Campus Area of the University of Novi Sad

Jovanović¹,

Milovanov²,

Ruskovski³

et al. 2020

IJGI

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“…At the scale of sustainable housing, for instance, informational ecology of networks is designated for low-carbon emissions (McElroy & Rosenow, 2019;Zheng et al, 2014). The ecology and efficiency in energy consumption (Eicker et al, 2020;Zheng et al, 2014) generates common issues for collective action once the larger time-series metrics of particular experiments are processed/networked (Özkan et al, 2019). For such research, associative models with slight alterations of tactile/non-visual and visual inputs can also ensure the control of energy usage/efficiency, smart mechanical/electrical systems (e.g.…”

Section: Future Workmentioning

confidence: 99%

Incremental transformation of spatial intelligence from smart systems to sensorial infrastructures

Erişen

2020

Building Research & Information

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In addition to the scalability of new computation technologies considering their potentials and limitations, recent applications of embedded computation ensure its possible uses in the scope of urban computing and policymaking strategies. This study examines methods of crowdsourcing with the aim of incremental transformation of the built environment through the experimental exploration of the traditional infrastructure of the Spice Bazaar in İstanbul using a bottom-up research approach. Thus, this study can be an overarching source of specifications and policymaking for the incremental transformation of the built environment. Accordingly, the agencies of participation and policymaking, the concern of usage and economics as well as technological potentials and limitations are considered as generative parameters. Smart grids and embedded computation in built environments are examined in addition to the utilization of traditional infrastructures for data acquisition and assessment. Under the scope of urban computing, this study evaluates associative learning and prediction models, as well as other sensorial technologies, connected devices, and new methods of computation.

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“…Also, there are studies trying to point out the required framework and features of a suitable workflow. Eicker et al discussed the required concepts of an urban energy modeling platform to model the energy demand and intricate urban renewable energy systems design (Eicker et al, 2020b). The platform will include models of buildings, transportation, energy and distribution systems, food, and water infrastructure to compare different energy system operation scenarios.…”

Section: Introductionmentioning

confidence: 99%

Novel Energy System Design Workflow for Zero-Carbon Energy District Development

Samadzadegan¹,

Abolhassani²,

Dabirian³

et al. 2021

Front. Sustain. Cities

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The growing urban population globally leads to higher greenhouse gas (GHG) emissions and stress on the electricity networks for meeting the increasing demand. In the early urban design stages, the optimization of the urban morphology and building physics characteristics can reduce energy demand. Local generation using renewable energy resources is also a viable option to reduce emissions and improve grid reliability. Notwithstanding, energy simulation and environmental impact assessment of urban building design strategies are usually not done until the execution planning stage. To address this research gap, a novel framework for designing energy systems for zero-carbon districts is developed. An urban building energy model is integrated with an urban energy system model in this framework. Dynamic prediction of heating and cooling demand and automatic sizing of different energy system configurations based on the calculated demands are the framework's primary capabilities. The workability of the framework has been tested on a case study for an urban area in Montreal to design and compare two different renewable energy systems comprising photovoltaic panels (PV), air-source, and ground source heat pumps. The case study results show that the urban building energy model could successfully predict the heating and cooling demands in multiple spatiotemporal resolutions, while the urban energy system model provides system solutions for achieving a zero-carbon or positive energy district.

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On the design of an urban data and modeling platform and its application to urban district analyses

Cited by 47 publications

References 16 publications

Building Virtual 3D City Model for Smart Cities Applications: A Case Study on Campus Area of the University of Novi Sad

Building Virtual 3D City Model for Smart Cities Applications: A Case Study on Campus Area of the University of Novi Sad

Incremental transformation of spatial intelligence from smart systems to sensorial infrastructures

Novel Energy System Design Workflow for Zero-Carbon Energy District Development

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