Italian prototype building models for urban scale building performance simulation

Carnieletto, Laura; Ferrando, Martina; Teso, Lorenzo; Sun, Kaiyu; Zhang, Wanni; Causone, Francesco; Romagnoni, Piercarlo; Zarrella, Angelo; Hong, Tianzhen

doi:10.1016/j.buildenv.2021.107590

Italian prototype building models for urban scale building performance simulation

Journal Article · Tue Jan 19 00:00:00 EST 2021 · Building and Environment

DOI:https://doi.org/10.1016/j.buildenv.2021.107590· OSTI ID:1769334

^[1]; ^[2]; Teso, Lorenzo ^[3]; Sun, Kaiyu ^[4]; Zhang, Wanni ^[4]; ^[5]; Romagnoni, Piercarlo ^[6]; Zarrella, Angelo ^[1]; Hong, Tianzhen ^[4]

Univ. of Padova (Italy)
Politecnico di Milano (Italy); Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Libera Univ. di Bolzano, Bozen (Italy); Univ. luav di Venezia, Venice (Italy)
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Politecnico di Milano (Italy)
Univ. luav di Venezia, Venice (Italy)

Urban building energy modeling (UBEM) seeks to evaluate strategies to optimize building energy use at urban scale to support a city's building energy goals. Prototype building models are usually developed to represent typical urban building characteristics of a specific use type, construction year, and climate zone, as detailed characteristics of individual buildings at urban scale are difficult to obtain. This study investigated the Italian building stock, developing 46 building prototypes, based on construction year, for residential and office buildings. The study included 16 single-family buildings, 16 multi-family buildings, and 14 office buildings. Building envelope properties and heating, ventilation, and air conditioning system characteristics were defined according to existing building energy codes and standards for climatic zone E, which covers about half the Italian municipalities. Novel contributions of this study include (1) detailed specifications of prototype building energy models for Italian residential and office buildings that can be adopted by UBEM tools, and (2) a dataset in GeoJSON format of Italian urban buildings compiled from diverse data sources and national standards. Finally, the developed prototype building specifications, the building dataset, and the workflow can be applied to create other building prototypes and to support Italian national building energy efficiency and environmental goals.

View Accepted Manuscript (DOE)

Research Organization:: Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)

Sponsoring Organization:: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Energy Efficiency Office. Building Technologies Office

Grant/Contract Number:: AC02-05CH11231

OSTI ID:: 1769334

Journal Information:: Building and Environment, Journal Name: Building and Environment Vol. 192; ISSN 0360-1323

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

References (42)

Energy planning tools and CityGML-based 3D virtual city models: experiences from Trento (Italy) Agugiaro, Giorgio Applied Geomatics, Vol. 8, Issue 1 https://doi.org/10.1007/s12518-015-0163-2	journal	September 2015
On the classification of large residential buildings stocks by sample typologies for energy planning purposes Filogamo, Luana; Peri, Giorgia; Rizzo, Gianfranco Applied Energy, Vol. 135 https://doi.org/10.1016/j.apenergy.2014.04.002	journal	December 2014
Integrated model for characterization of spatiotemporal building energy consumption patterns in neighborhoods and city districts Fonseca, Jimeno A.; Schlueter, Arno Applied Energy, Vol. 142 https://doi.org/10.1016/j.apenergy.2014.12.068	journal	March 2015
Development of a data driven approach to explore the energy flexibility potential of building clusters Wang, Andong; Li, Rongling; You, Shi Applied Energy, Vol. 232 https://doi.org/10.1016/j.apenergy.2018.09.187	journal	December 2018
Modeling and analysis of heat emissions from buildings to ambient air Hong, Tianzhen; Ferrando, Martina; Luo, Xuan Applied Energy, Vol. 277 https://doi.org/10.1016/j.apenergy.2020.115566	journal	November 2020
Building-stock aggregation through archetype buildings: France, Germany, Spain and the UK Mata, É.; Sasic Kalagasidis, A.; Johnsson, F. Building and Environment, Vol. 81 https://doi.org/10.1016/j.buildenv.2014.06.013	journal	November 2014
Urban building energy modeling – A review of a nascent field Reinhart, Christoph F.; Cerezo Davila, Carlos Building and Environment, Vol. 97 https://doi.org/10.1016/j.buildenv.2015.12.001	journal	February 2016
Modeling occupant behavior in buildings Carlucci, Salvatore; De Simone, Marilena; Firth, Steven K. Building and Environment, Vol. 174 https://doi.org/10.1016/j.buildenv.2020.106768	journal	May 2020
Understanding the complexities of domestic energy reductions in cities: Integrating data sets generally available in the United Kingdom's local authorities Urquizo, Javier; Calderón, Carlos; James, Philip Cities, Vol. 74 https://doi.org/10.1016/j.cities.2017.12.019	journal	April 2018
The Use of Multi-detail Building Archetypes in Urban Energy Modelling Monteiro, Claudia Sousa; Pina, André; Cerezo, Carlos Energy Procedia, Vol. 111 https://doi.org/10.1016/j.egypro.2017.03.244	journal	March 2017
Energy demand for space heating through a statistical approach: application to residential buildings Caldera, Matteo; Corgnati, Stefano Paolo; Filippi, Marco Energy and Buildings, Vol. 40, Issue 10 https://doi.org/10.1016/j.enbuild.2008.05.005	journal	January 2008
A methodology for assessing the energy performance of large scale building stocks and possible applications Fracastoro, Gian Vincenzo; Serraino, Matteo Energy and Buildings, Vol. 43, Issue 4 https://doi.org/10.1016/j.enbuild.2010.12.004	journal	April 2011
Building typologies as a tool for assessing the energy performance of residential buildings – A case study for the Hellenic building stock Dascalaki, Elena G.; Droutsa, Kalliopi G.; Balaras, Constantinos A. Energy and Buildings, Vol. 43, Issue 12 https://doi.org/10.1016/j.enbuild.2011.09.002	journal	December 2011
A methodology for the energy performance classification of residential building stock on an urban scale Dall’O’, Giuliano; Galante, Annalisa; Torri, Marco Energy and Buildings, Vol. 48 https://doi.org/10.1016/j.enbuild.2012.01.034	journal	May 2012
Developing archetypes for domestic dwellings—An Irish case study Famuyibo, Adesoji Albert; Duffy, Aidan; Strachan, Paul Energy and Buildings, Vol. 50 https://doi.org/10.1016/j.enbuild.2012.03.033	journal	July 2012
Development of two Danish building typologies for residential buildings Kragh, J.; Wittchen, K. B. Energy and Buildings, Vol. 68 https://doi.org/10.1016/j.enbuild.2013.04.028	journal	January 2014
TABULA building typologies in 20 European countries—Making energy-related features of residential building stocks comparable Loga, Tobias; Stein, Britta; Diefenbach, Nikolaus Energy and Buildings, Vol. 132 https://doi.org/10.1016/j.enbuild.2016.06.094	journal	November 2016
Validation of a Bayesian-based method for defining residential archetypes in urban building energy models Sokol, Julia; Cerezo Davila, Carlos; Reinhart, Christoph F. Energy and Buildings, Vol. 134 https://doi.org/10.1016/j.enbuild.2016.10.050	journal	January 2017
Shoeboxer: An algorithm for abstracted rapid multi-zone urban building energy model generation and simulation Dogan, Timur; Reinhart, Christoph Energy and Buildings, Vol. 140 https://doi.org/10.1016/j.enbuild.2017.01.030	journal	April 2017
Comparison of four building archetype characterization methods in urban building energy modeling (UBEM): A residential case study in Kuwait City Cerezo, Carlos; Sokol, Julia; AlKhaled, Saud Energy and Buildings, Vol. 154 https://doi.org/10.1016/j.enbuild.2017.08.029	journal	November 2017
Developing urban residential reference buildings using clustering analysis of satellite images Li, Xinyi; Yao, Runming; Liu, Meng Energy and Buildings, Vol. 169 https://doi.org/10.1016/j.enbuild.2018.03.064	journal	June 2018
Synthetic building stocks as a way to assess the energy demand and greenhouse gas emissions of national building stocks Nägeli, Claudio; Camarasa, Clara; Jakob, Martin Energy and Buildings, Vol. 173 https://doi.org/10.1016/j.enbuild.2018.05.055	journal	August 2018
Hierarchical calibration of archetypes for urban building energy modeling Kristensen, Martin Heine; Hedegaard, Rasmus Elbæk; Petersen, Steffen Energy and Buildings, Vol. 175 https://doi.org/10.1016/j.enbuild.2018.07.030	journal	September 2018
Analysis of space heating demand in the Swiss residential building stock: Element-based bottom-up model of archetype buildings Streicher, Kai Nino; Padey, Pierryves; Parra, David Energy and Buildings, Vol. 184 https://doi.org/10.1016/j.enbuild.2018.12.011	journal	February 2019
An archetype-in-neighbourhood framework for modelling cooling energy demand of a city's housing stock Yi, Choo Yoon; Peng, Chengzhi Energy and Buildings, Vol. 196 https://doi.org/10.1016/j.enbuild.2019.05.015	journal	August 2019
Development of occupancy-integrated archetypes: Use of data mining clustering techniques to embed occupant behaviour profiles in archetypes Buttitta, Giuseppina; Turner, William J. N.; Neu, Olivier Energy and Buildings, Vol. 198 https://doi.org/10.1016/j.enbuild.2019.05.056	journal	September 2019
A data-driven procedure to model occupancy and occupant-related electric load profiles in residential buildings for energy simulation Causone, Francesco; Carlucci, Salvatore; Ferrando, Martina Energy and Buildings, Vol. 202 https://doi.org/10.1016/j.enbuild.2019.109342	journal	November 2019
A data-driven approach for multi-scale building archetypes development Ali, Usman; Shamsi, Mohammad Haris; Hoare, Cathal Energy and Buildings, Vol. 202 https://doi.org/10.1016/j.enbuild.2019.109364	journal	November 2019
A data analysis of the Chilean housing stock and the development of modelling archetypes Molina, Constanza; Kent, Michael; Hall, Ian Energy and Buildings, Vol. 206 https://doi.org/10.1016/j.enbuild.2019.109568	journal	January 2020
A building clustering approach for urban energy simulations De Jaeger, Ina; Reynders, Glenn; Callebaut, Chadija Energy and Buildings, Vol. 208 https://doi.org/10.1016/j.enbuild.2019.109671	journal	February 2020
A generalisable bottom-up methodology for deriving a residential stock model from large empirical databases Ahern, Ciara; Norton, Brian Energy and Buildings, Vol. 215 https://doi.org/10.1016/j.enbuild.2020.109886	journal	May 2020
Data-driven building archetypes for urban building energy modelling Pasichnyi, Oleksii; Wallin, Jörgen; Kordas, Olga Energy, Vol. 181 https://doi.org/10.1016/j.energy.2019.04.197	journal	August 2019
Use of reference buildings to assess the energy saving potentials of the residential building stock: The experience of TABULA project Ballarini, Ilaria; Corgnati, Stefano Paolo; Corrado, Vincenzo Energy Policy, Vol. 68 https://doi.org/10.1016/j.enpol.2014.01.027	journal	May 2014
How are cities planning to respond to climate change? Assessment of local climate plans from 885 cities in the EU-28 Reckien, Diana; Salvia, Monica; Heidrich, Oliver Journal of Cleaner Production, Vol. 191 https://doi.org/10.1016/j.jclepro.2018.03.220	journal	August 2018
Modeling of end-use energy consumption in the residential sector: A review of modeling techniques Swan, Lukas G.; Ugursal, V. Ismet Renewable and Sustainable Energy Reviews, Vol. 13, Issue 8, p. 1819-1835 https://doi.org/10.1016/j.rser.2008.09.033	journal	October 2009
A review of urban energy system models: Approaches, challenges and opportunities Keirstead, James; Jennings, Mark; Sivakumar, Aruna Renewable and Sustainable Energy Reviews, Vol. 16, Issue 6 https://doi.org/10.1016/j.rser.2012.02.047	journal	August 2012
Urban building energy modeling (UBEM) tools: A state-of-the-art review of bottom-up physics-based approaches Ferrando, Martina; Causone, Francesco; Hong, Tianzhen Sustainable Cities and Society, Vol. 62 https://doi.org/10.1016/j.scs.2020.102408	journal	November 2020
Analysis and application of a lumped-capacitance model for urban building energy modelling Zarrella, Angelo; Prataviera, Enrico; Romano, Pierdonato Sustainable Cities and Society, Vol. 63 https://doi.org/10.1016/j.scs.2020.102450	journal	December 2020
GENIUS: A methodology to define a detailed description of buildings for urban climate and building energy consumption simulations Tornay, Nathalie; Schoetter, Robert; Bonhomme, Marion Urban Climate, Vol. 20 https://doi.org/10.1016/j.uclim.2017.03.002	journal	June 2017
Aggregating set-point temperature profiles for archetype-based: simulations of the space heat demand within residential districts De Jaeger, Ina; Vandermeulen, Annelies; van der Heijde, Bram Journal of Building Performance Simulation, Vol. 13, Issue 3 https://doi.org/10.1080/19401493.2020.1727567	journal	February 2020
Assessing energy performance of smart cities Causone, Francesco; Sangalli, Andrea; Pagliano, Lorenzo Building Services Engineering Research and Technology, Vol. 39, Issue 1 https://doi.org/10.1177/0143624417725220	journal	April 2017
Automated classification metrics for energy modelling of residential buildings in the UK with open algorithms Beck, Anthony; Long, Gavin; Boyd, Doreen S. Environment and Planning B: Urban Analytics and City Science, Vol. 47, Issue 1 https://doi.org/10.1177/2399808318762436	journal	March 2018

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32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION
Italy
building prototypes
building stock modelling
building typology
residential sector
urban building energy model (UBEM)

Italian prototype building models for urban scale building performance simulation

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