ENABLING INTEROPERABILITY OF URBAN BUILDING ENERGY DATA BASED ON OGC API STANDARDS AND CITYGML 3D CITY MODELS

被引:3
作者
Santhanavanich, T. [1 ,2 ]
Padsala, R. [1 ,3 ]
Rossknecht, M. [4 ]
Dabirian, S. [3 ]
Saad, M. M. [3 ]
Eicker, U. [3 ,5 ]
Coors, V. [1 ]
机构
[1] Stuttgart Univ Appl Sci, Ctr Geodesy & Geoinformat, Schellingstr 24, D-70174 Stuttgart, Germany
[2] Tech Univ Dresden, Fac Environm Sci, D-01062 Dresden, Germany
[3] Concordia Univ, Dept Bldg Civil & Environm Engn, 1515 St Catherine St, West Montreal, PQ H3G 2W1, Canada
[4] Fraunhofer Inst Comp Graph Res IGD, Fraunhoferstr 5, D-64283 Darmstadt, Germany
[5] Concordia Univ, Canada Excellence Res Chair Smart Sustainable &, 1515 St Catherine St, West Montreal, PQ H3G 2W1, Canada
来源
GEOSPATIAL WEEK 2023, VOL. 10-1 | 2023年
关键词
Building Energy Simulation; Urban Digital Twins; OGC API; CityGML; 3D City Model;
D O I
10.5194/isprs-annals-X-1-W1-2023-97-2023
中图分类号
K85 [文物考古];
学科分类号
0601 ;
摘要
This paper presents an investigation into the interoperability of 3D building energy data management, delivery, processing, and visualization via web clients using Open Geospatial Consortium - Application Programming Interface (OGC API) standard-based data models and web interfaces. Specifically, the OGC API - 3D GeoVolumes enable access to 3D city model geometries and semantics on the web, the OGC API - Features support the 2D version of the same geospatial data, the OGC API - Processes are used for CityGML analytics and building energy computation with the SimStadt urban simulation software and the OGC SensorThings API is utilized to manage related spatiotemporal or time-series datasets. The efficacy of this approach has been demonstrated in the OGC Testbed 18 Innovation Program, which highlighted the capacity of OGC API web services to synchronize building energy data and computation results between client and server for the case study of Helsinki, Finland, and Montreal, Canada. The advantages of using OGC API services for 3D building energy data interoperability are discussed, and it is suggested that the use of OGC API be promoted to the general public as well as extended to other domains and on a larger scale in future research.
引用
收藏
页码:97 / 105
页数:9
相关论文
共 31 条
[1]  
ABI Research, 2021, The use of digital twins for urban planning to yield us $280 billion in cost savings by 2030
[2]  
Agugiaro Giorgio, 2018, Open Geospatial Data, Software and Standards, V3, DOI [10.1186/s40965-018-0042-y, 10.1186/s40965-018-0042-y]
[3]   A shoeboxing algorithm for urban building energy modeling: Validation for stand-alone buildings [J].
Battini, Federico ;
Pernigotto, Giovanni ;
Gasparella, Andrea .
SUSTAINABLE CITIES AND SOCIETY, 2023, 89
[4]   Applications of 3D City Models: State of the Art Review [J].
Biljecki, Filip ;
Stoter, Jantien ;
Ledoux, Hugo ;
Zlatanova, Sisi ;
Coeltekin, Arzu .
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2015, 4 (04) :2842-2889
[5]   Development of city buildings dataset for urban building energy modeling [J].
Chen, Yixing ;
Hong, Tianzhen ;
Luo, Xuan ;
Hooper, Barry .
ENERGY AND BUILDINGS, 2019, 183 :252-265
[6]  
City of Helsinki, 2018, Energy and climate atlas: Basic and energy information of buildings (from 2017)
[7]  
City of Helsinki, 2017, 3d models of helsinki-citygml files
[8]  
City of Montreal, 2020, 3D buildings 2016 (LOD2 model with textures)
[9]  
City of Montreal, 2017, Property assessment units)
[10]   Occupant-centric urban building energy modeling: Approaches, inputs, and data sources-A review [J].
Dabirian, Sanam ;
Panchabikesan, Karthik ;
Eicker, Ursula .
ENERGY AND BUILDINGS, 2022, 257