Energy planning tools and CityGML-based 3D virtual city models: experiences from Trento (Italy)

详细信息    查看全文

• 作者：Giorgio Agugiaro
• 关键词：CityGML ; 3D virtual city models ; Data integration ; Energy performance of buildings
• 刊名：Applied Geomatics
• 出版年：2016
• 出版时间：March 2016
• 年：2016
• 卷：8
• 期：1
• 页码：41-56
• 全文大小：11,630 KB
• 参考文献：Abdul-Rahman A, Pilouk M (2008) Spatial data modelling for 3D GIS. Springer Verlag, XI. ISBN 978-3-540-74167-1
  Agugiaro G (2014a) From sub-optimal datasets to a CityGML-compliant 3D city model: experiences from Trento, Italy. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences XL-4:7–13
  Agugiaro G (2014b) I modelli digitali 3D di città come hub informativo per simulazioni energetiche a scala urbana. Atti della 18a Conferenza Nazionale ASITA, Firenze, pp. 19–26, ISBN 978-88-903132-9-5
  Agugiaro G, Nex F, Remondino F, De Filippi R, Droghetti S, Furlanello C (2012) Solar radiation estimation on building roofs and web-based solar cadaster. ISPRS Annals of the Photogrammetry. Remote Sensing and Spatial Information Sciences 1(2):177–182
  Alam N, Coors V, Zlatanova S (2013) Detecting shadow for direct radiation using CityGML models for photovoltaic potentiality analysis. CRC Press/Balkema, Taylor and Francis, Recent and Emerging Trends in the Management of New Urban Data, pp 191–196
  Andaloro APF, Salomone R, Ioppolo G, Andaloro L (2010) Energy certification of buildings: a comparative analysis of progress towards implementation in European countries. Energy Policy 38:5840–5866CrossRef
  Bahu JM, Koch A, Kremers E, Murshed SM (2013) Towards a 3D spatial urban energy modelling approach. Annals of the photogrammetry. Remote Sensing and Spatial Information Sciences II-2(W1):33–41
  Becker T, Nagel C, Kolbe TH (2013) Semantic 3D modeling of multi-utility networks in cities for analysis and 3D visualization, Progress and New Trends in 3D Geoinformation Sciences. Springer, Heidelberg, pp 41–62
  Carrión D, Lorenz A, Kolbe TH (2010) Estimation of the energetic rehabilitation state of buildings for the city of Berlin using a 3D City Model represented in CityGML. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences 38(4/W15)):31–35
  Czerwinski A, Sandmann S, Stöcker-Meier E, Plümer L (2007) Sustainable SDI for EU noise mapping in NRW—best practice for INSPIRE. International Journal for Spatial Data Infrastructure Research 2(1):90–111
  Corrado V, Ballarini I, Corgnati S, Talà N (2011) Building typology brochure—Italy, Dipartimento di Energetica, Gruppo di Ricerca TEBE. Politecnico di Torino, Torino, Italy. ISBN 978-88-8202-070-5
  Corrado V, Ballarini I, Corgnati S (2012) National scientific report on the TABULA activities in Italy. Dipartimento di Energetica, Gruppo di Ricerca TEBE, Politecnico di Torino, Torino, Italy, 978-88-8202-039-2
  Dalla Costa S, Roccatello E, Rumor M (2011) A CityGML 3D geodatabase for buildings energy efficiency, International Archives of Photogrammetry. Remote Sensing and Spatial Information Sciences XXXVIII-4(C21):19–24
  Fronza A, Dalla Torre S, Agugiaro G (2013) Docfa 4: rappresentazione grafica vettoriale e integrazione 3D. Atti della 17a Conferenza Nazionale ASITA, Riva del Garda, pp 723–730, ISBN 978-88-903132-8-8
  Giovannini L, Di Staso U, Cipriano P, Prandi F, De Amicis R (2014) Progetto SUNSHINE: servizi smart, open ed estendibili, per stimare la performance energetica degli edifici residenziali alla scala urbana. Atti della 18a Conferenza Nazionale ASITA, Firenze, pp 627–634, ISBN 978-88-903132-9-5
  Gröger G, Plümer L (2012) CityGML—interoperable semantic 3D city models. ISPRS Journal of Photogrammetry and Remote Sensing 71:12–33, ISSN 0924–2716CrossRef
  Jones PJ, Lannon S, Williams J (2001) Modelling building energy use at urban scale, IBPSA. 7th International Conference, Rio de Janeiro, pp 175–180
  Kjems E, Wen W (2011) A 3D city model used as user-interface for an energy-system, 12th International Conference on Computers in Urban Planning and Urban Management. Lake Louise, Canada
  Kaden R, Kolbe TH (2013) City-wide total energy demand estimation of buildings using Semantic 3D city models and statistical data. Annals of the Photogrammetry. Remote Sensing and Spatial Information Sciences II-2(W1):163–171
  Kim H, Anderson K (2013) Energy modeling system using building information modeling open standards. Journal of Computing in Civil Engineering 27(3):203–211CrossRef
  Kolbe TH, Gröger G, Plümer L (2008) CityGML – 3D  City Models for Emergency Response. In: Zlatanova, Li (eds.): Geospatial Information Technology for Emergency Response, Taylor & Francis Group, London, pp 257–274
  Krüger A, Kolbe TH (2012) Building analysis for urban energy planning using key indicators on virtual 3D city models—the Energy Atlas of Berlin. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 39(B2):145–150CrossRef
  Kumar S (2008) Interoperability between building information models (BIM) and energy analysis programs, PhD Thesis. University of Southern California, USA
  Mutani G, Vicentini G (2013) Analisi del fabbisogno di energia termica degli edifici con software geografico libero. Il caso studio di Torino. La Termotecnica 6:63–67
  Newell ME, Newell RG, Sancha TL (1972) A solution to the hidden surface problem. Proceedings of the ACM annual conference. Massachusetts, USA, Boston
  Nex F, Remondino F, Agugiaro G, Filippi R, Poletti M, Furlanello C, Menegon S, Dallago G, Fontanari S (2013) 3D Solarweb: a solar cadastre in the Italian Alpine landscape. International Archives of the Photogrammetry. Remote Sensing and Spatial Information Sciences XL-7(W2):173–178
  Nouvel R, Schulte C, Eicker U, Pietruschka D, Coors V (2013) CityGML-based 3D city model for energy diagnostics and urban energy policy support. IBPSA World 2013:1–7
  Perez D, Robinson D (2012) Urban energy flow modelling: a data-aware approach. Digital Urban Modeling and Simulation, pp 200–220
  Perez D, Vautey C, Kämpf J (2012) Urban energy flow microsimulation in a heating dominated continental climate. Proc of SIMUL 2012:18–23
  Pérez-Lombard L, Ortiz J, González R, Maestre IR (2009) A review of benchmarking, rating and labelling concepts within the framework of building energy certification schemes. Energy and Buildings 41:272–278CrossRef
  Prandi F, De Amicis R, Piffer S, Soave M, Cadzow S, Gonzalez Boix E, D’Hont E (2013) Using CityGML to deploy smart-city services for urban ecosystems. International Archives of the Photogrammetry. Remote Sensing and Spatial Information Sciences XL-4(W1):87–92
  Prandi F, Soave M, Devigili F, Andreolli M, De Amicis R (2014) Services oriented smart city platform based on 3D city model visualization. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences II-4:59–64. doi:10.​5194/​isprsannals-II-4-59-2014 CrossRef
  Ratti C, Baker N, Steemers K (2005) Energy consumption and urban texture. Energy and Buildings 37(7):762–776CrossRef
  Remondino F, Poli D (2014) Back to the future: Il ritorno della fotogrammetria. GEOmedia 2014(2):6–8
  Resch B, Sagl G, Törnros T, Bachmaier A, Eggers J-B, Herkel S, Narmsara S, Gündra H (2014) GIS-based planning and modeling for renewable energy: challenges and future research avenues. ISPRS International Journal of Geo-Information 3(2):662–692CrossRef
  Robinson D, Campbell N, Gaiser W, Kabel K, Le-Mouel A, Morel N, Page J, Stankovic S, Stone A (2007) Suntool—a new modelling paradigm for simulating and optimising urban sustainability. Solar Energy 81(9):1196–1211CrossRef
  Salat S (2009) Energy loads, CO2 emissions and building stocks: morphologies, typologies, energy systems and behaviour. Building Research & Information 37(56):598–609CrossRef
  Schrenk M, Wasserburger WW, Music B, Dorrzapf L (2013) SUNSHINE: Smart UrbaN ServIces for Higher eNergy Efficiency, GI_Forum 2013. Wichmann-Verlag, Berlin, pp 18–24
  Stadler A, Kolbe TH (2007) Spatio-semantic coherence in the integration of 3D city models, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences., XXXVI-2/C43
  Strzalka A, Bogdahn J, Coors V, Eicker U (2011) 3D city modeling for urban scale heating energy demand forecasting. HVAC&R Research 17(4):526–539
  Zlatanova S, Breunig M (2011) 3D geo-database research: retrospective and future directions. Computers & Geosciences 37(7):791–803. doi:10.​1016/​j.​cageo.​2010.​04.​016 CrossRef
  
• 作者单位：Giorgio Agugiaro (1)
  
  1. Energy Department, Sustainable Buildings and Cities Unit, Austrian Institute of Technology, Giefinggasse 2, 1210, Vienna, Austria
  
• 刊物类别：Earth and Environmental Science
• 刊物主题：Geography
  Geographical Information Systems and Cartography
  
• 出版者：Springer Berlin Heidelberg
• ISSN：1866-928X

文摘

This article presents the first results concerning the development and implementation of a tool for the estimation of the energy performance for residential buildings at city scale. Space heating and domestic hot water production are taken into account. Project “EnerCity” focuses on two main topics: (a) the creation of a CityGML-compliant 3D city model from sub-optimal datasets and (b) its adoption as information hub to develop energy-related assessment tools. A part of the city of Trento, in northern Italy, was chosen as the case study area for testing purposes; however, the methodology was developed to be extended to the whole city. Only publicly available data were used. The energy demand calculation method is based on the Italian Technical Specifications UNI/TS 11300:2008. For each building, the primary energy demand for space heating and domestic hot water production, as well as the resulting energy performance index, are estimated. In order to characterise the buildings, heterogeneous datasets (cadastral data, statistical data, etc.) were harmonised and integrated. All residential buildings were successively classified into distinct building types according to the criteria defined for Italy in the European project “Tabula”. The developed tool allows for data visualisation, editing as well as interactive refurbishment of the buildings. The article describes all relevant steps of the project and discusses possible enhancements and the future improvements.