Heritage-BIM for energy simulation: a data exchange method for improved interoperability

References

• Akkurt, G., Aste, N., Borderon, J., Buda, A., Calzolari, M., Chung, D., Costanzo, V., Del Pero, C., Evola, G., Huerto-Cardenas, H. E., Leonforte, F., Lo Faro, A., Lucchi, E., Marletta, L., Nocera, F., Pracchi, V., & Turhan, C. (2020). Dynamic thermal and hygrometric simulation of historical buildings: Critical factors and possible solutions. Renewable and Sustainable Energy Reviews, 118, 109509 https://doi.org/10.1016/j.rser.2019.109509
   Web of Science ®Google Scholar
• Amoah, E., & Nguyen, T. (2019, May 21–24). Optimizing the usage of building information model (BIM) interoperability focusing on data not tools [Paper presentation]. 36th international symposium on automation and robotics in construction, Banff, Canada. https://doi.org/10.22260/ISARC2019/0144
   Google Scholar
• Augenbroe, G. (2002). Trends in building simulation. Building and Environment, 37(8–9), 891–902. https://doi.org/10.1016/S0360-1323(02)00041-0
   Web of Science ®Google Scholar
• Automation.com. (2008). Autodesk acquires Ecotect and Green Building Studio Software. https://www.automation.com/en-us/articles/2008-2/autodesk-acquires-ecotect-and-green-building-studi
   Google Scholar
• Bastem, S. S., & Cekmis, A. (2022). Development of historic building information modelling: A systematic literature review. Building Research & Information, 50(5), 527–558. https://doi.org/10.1080/09613218.2021.1983754
   Web of Science ®Google Scholar
• Bracht, M. K., Melo, A. P., & Lamberts, R. (2021). A metamodel for building information modeling-building energy modeling integration in early design stage. Automation in Construction, 121, 103422. https://doi.org/10.1016/j.autcon.2020.103422
   Web of Science ®Google Scholar
• Calcerano, F., Thravalou, S., Martinelli, L., Alexandrou, K., Artopoulos, G., & Gigliarelli, E. (2023). Energy and environmental improvement of built heritage: HBIM simulation-based approach applied to nine Mediterranean case-studies. Building Research & Information, 1–23. https://doi.org/10.1080/09613218.2023.2204417
   Web of Science ®Google Scholar
• Cetin, K. S., Fathollahzadeh, M. H., Kunwar, N., Do, H., & Tabares-Velasco, P. C. (2019). Development and validation of an HVAC on/off controller in EnergyPlus for energy simulation of residential and small commercial buildings. Energy and Buildings, 183, 467–483. https://doi.org/10.1016/j.enbuild.2018.11.005
   Web of Science ®Google Scholar
• Chiaia, B., Davardoust, S., Osello, A., Aste, N., di Milano, P., Mazzon, M., & di Milano, P. (2015). BIM and interoperability for energy simulations. Building Simulation Applications, 2, 93–97.
   Google Scholar
• Collin, C., Jensen, L. M. B., Negendahl, K., Birkved, M., Lassila, A., & Yamaguchi, K. (2017). Sustainability gains from combining LCA and parametric design in the early design phases of structural design. IASS, 9.
   Google Scholar
• Demi, D. (1997). The walled city of Nicosia, A typology study. In Nicosia master plan (pp. 136). UNDP United Nations Development Programme.
   Google Scholar
• Di Biccari, C., Calcerano, F., D’Uffizi, F., Esposito, A., Campari, M., & Gigliarelli, E. (2022). Building information modeling and building performance simulation interoperability: State-of-the-art and trends in current literature. Advanced Engineering Informatics, 54, 101753. https://doi.org/10.1016/j.aei.2022.101753
   Web of Science ®Google Scholar
• Dimitriou, V., Firth, S., Hassan, T., & Fouchal, F. (2016). BIM enabled building energy modelling: Development and verification of a GBXML to IDF conversion method. In Loughborough University. Conference Contribution. https://hdl.handle.net/2134/22818
   Google Scholar
• Dol, K., & Haffner, M. (2010). Housing statistics in the European union (p. 54). Ministry of the Interior and Kingdom Relations. http://www.iut.nu/wp-content/uploads/2017/07/Housing-Affordability-Housing-Statistics.pdf
   Google Scholar
• Durdyev, S., Dehdasht, G., Mohandes, S. R., & Edwards, D. J. (2021). Review of the building information modelling (BIM) implementation in the context of building energy assessment. Energies, 14(24), 24. https://doi.org/10.3390/en14248487
   Web of Science ®Google Scholar
• Economidou, M., Atanasiu, B., Despret, C., Maio, J., Nolte, I., & Rapf, O. (2011). Europe’s buildings under the microscope: A country-by-country review of the energy performance of buildings. Buildings Performance Institute Europe (BPIE).
   Google Scholar
• European Commission. (2020). A renovation wave for Europe—greening our buildings, creating jobs, improving lives. European Commission, COM(2020), 1–26.
   Google Scholar
• European Commission. (2021). Digitalisation in the construction sector. European Construction Sector Observatory.
   Google Scholar
• European Parliament. (2018). Directive (EU) 2018/844 of the European parliament and of the council of 30 May 2018 on energy efficiency, amending directive 2010/31/EU on the energy performance of buildings and directive 2012/27/EU. Official Journal of the European Union, L156, 75–91.
   Google Scholar
• Gao, H., Koch, C., & Wu, Y. (2019). Building information modelling based building energy modelling: A review. Applied Energy, 238, 320–343. https://doi.org/10.1016/j.apenergy.2019.01.032
   Web of Science ®Google Scholar
• Georghiou, C. (2018). The architecture of Cypriots during British rule 1878–1960. En Typois Publications.
   Google Scholar
• Ghaffarianhoseini, A., Tookey, J., Ghaffarianhoseini, A., Naismith, N., Azhar, S., Efimova, O., & Raahemifar, K. (2017). Building information modelling (BIM) uptake: Clear benefits, understanding its implementation, risks and challenges. Renewable and Sustainable Energy Reviews, 75, 1046–1053. https://doi.org/10.1016/j.rser.2016.11.083
   Web of Science ®Google Scholar
• Gigliarelli, E., Calcerano, F., D’Uffizi, F., Di Biccari, C., Mangialardi, G., & Campari, M. (2019). From heritage BIM to BPS, a computational design-based interoperability approach. Building Simulation Conference Proceedings, 1, 129–136. https://doi.org/10.26868/25222708.2019.210442
   Google Scholar
• Gigliarelli, E., Calcerano, F., Martinelli, L., Artopoulos, G., Thravalou, S., & Alexandrou, K. (2022). Methodology for the energy renovation of heritage buildings using BIM: Guidelines for the development of an energy efficient heritage building information model (EE-HBIM) (pp. 107–126) Cnr Edizioni. ISBN: 978 88 8080 530 4 https://www.enicbcmed.eu/sites/default/files/2022-12/BEEP_Guide.pdf
   Google Scholar
• Hetherington, R., Laney, R., Peake, S., & Oldham, D. (2011). Integrated building design, information and simulation modelling: The need for a new hierarchy [Paper presentation]. 12th Conference of International Building Performance Simulation Association, Sydney, 14–16 November (pp. 2241–2248).
   Google Scholar
• Hijazi, M., Kensek, K., & Konis, K. (2015). Bridging the gap: Supporting data transparency from BIM to BEM. In A. Aksamija, J. Haymaker, & A. Aminmansour (Eds.), proceedings of the ARCC 2015 Conference Architectural Research Centers Consortium Future of Architectural Research (pp: 149–166). Perkins&Will.
   Google Scholar
• Historic England. (2017). Photogrammetric applications for cultural heritage: Guidance for good practice.
   Google Scholar
• Kamel, E. (2019). Review of BIM’s application in energy simulation_ tools, issues, and solutions. Automation in Construction, 97, 164–180. https://doi.org/10.1016/j.autcon.2018.11.008
   Web of Science ®Google Scholar
• Kamel, E., & Memari, A. M. (2019). Review of BIM’s application in energy simulation: Tools, issues, and solutions. Automation in Construction, 97, 164–180. https://doi.org/10.1016/j.autcon.2018.11.008
   Web of Science ®Google Scholar
• Kim, J. B., Jeong, W., Clayton, M. J., Haberl, J. S., & Yan, W. (2015). Developing a physical BIM library for building thermal energy simulation. Automation in Construction, 50, 16–28. https://doi.org/10.1016/j.autcon.2014.10.011
   Web of Science ®Google Scholar
• Ladenhauf, D., Berndt, R., Krispel, U., Eggeling, E., Ullrich, T., Battisti, K., & Gratzl-Michlmair, M. (2016). Geometry simplification according to semantic constraints. Computer Science - Research and Development, 31(3), 119–125. https://doi.org/10.1007/s00450-014-0283-7
   Google Scholar
• Lewis, A. M., Valdes-Vasquez, R., & Clevenger, C. (2019). Understanding the perceived value of using BIM for energy simulation. Journal of Green Building, 14(1), 79–92. https://doi.org/10.3992/1943-4618.14.1.79
   Web of Science ®Google Scholar
• Li, Y., Kubicki, S., Guerriero, A., & Rezgui, Y. (2019). Review of building energy performance certification schemes towards future improvement. Renewable and Sustainable Energy Reviews, 113), 109244. https://doi.org/10.1016/j.rser.2019.109244
   Web of Science ®Google Scholar
• Maile, T., O’Donnell, J., Bazjanac, V., & Rose, C. (2013). BIM - Geometry modelling guidelines for building energy performance simulation (pp. 3242–3249). https://researchrepository.ucd.ie/handle/10197/11016
   Google Scholar
• Mazzeo, D., Matera, N., Cornaro, C., Oliveti, G., Romagnoni, P., & De Santoli, L. (2020). Energyplus, IDA ICE and TRNSYS predictive simulation accuracy for building thermal behaviour evaluation by using an experimental campaign in solar test boxes with and without a PCM module. Energy and Buildings, 212, 109812. https://doi.org/10.1016/j.enbuild.2020.109812
   Web of Science ®Google Scholar
• McDougall, K., Ganesh, B., Dev Raj, P., Reshma, S., Pradeep, U., Tank, P., Bhuwan, R., Sanjeevan, S., & Laxmi, T. (2019). ISPRS annals of the photogrammetry, Remote sensing and spatial information sciences IV-5/W2 (pp. 141–148). https://doi.org/10.5194/isprs-Archives-XLII-2-W11-141
   Google Scholar
• Mirza & Nacy Research Ltd. (2017). Architects’ Council of Europe, The architect’s profession in Europe 2016: A sector study.
   Google Scholar
• Pereira, V., Santos, J., Leite, F., & Escórcio, P. (2021). Using BIM to improve building energy efficiency – A scientometric and systematic review. Energy and Buildings, 250, 111292. https://doi.org/10.1016/j.enbuild.2021.111292
   Web of Science ®Google Scholar
• Petzet, M. (2004). Monuments and sites. In Principles of preservation: An introduction to the international charters for conservation and restoration 40 years after the Venice charter ( Vol. I, pp. 7–29). ICOMOS. http://openarchive.icomos.org/id/eprint/432/
   Google Scholar
• Pinheiro, S. V., Wimmer, R., Maile, T., & O’Donnell, J. (2016, October). Model view definition for advanced building energy performance simulation [Paper presentation]. CESBP/BauSIM 2016: CESBP Central European symposium on building physics, Technische Universität Dresden, Germany, 14–16 September 2016.
   Google Scholar
• Piselli, C., Guastaveglia, A., Romanelli, J., Cotana, F., & Pisello, A. L. (2020). Facility energy management application of HBIM for historical low-carbon communities: Design, modelling and operation control of geothermal energy retrofit in a real Italian case study. Energies, 13(23), 23. https://doi.org/10.3390/en13236338
   Web of Science ®Google Scholar
• Piselli, C., Romanelli, J., Di Grazia, M., Gavagni, A., Moretti, E., Nicolini, A., Cotana, F., Strangis, F., Witte, H. J. L., & Pisello, A. L. (2020). An integrated HBIM simulation approach for energy retrofit of historical buildings implemented in a case study of a medieval fortress in Italy. Energies, 13(10), 10. https://doi.org/10.3390/en13102601
   Web of Science ®Google Scholar
• Quattrini, R., Pierdicca, R., & Morbidoni, C. (2017). Knowledge-based data enrichment for HBIM: Exploring high-quality models using the semantic-web. Journal of Cultural Heritage, 28, 129–139. https://doi.org/10.1016/j.culher.2017.05.004
   Web of Science ®Google Scholar
• Rahmani Asl, M., Zarrinmehr, S., Bergin, M., & Yan, W. (2015). BPOpt: A framework for BIM-based performance optimization. Energy and Buildings, 108, 401–412. https://doi.org/10.1016/j.enbuild.2015.09.011
   Web of Science ®Google Scholar
• Ringel, M. (2021). 11 – Energy service markets: Status quo and development. In D. Borge-Diez, & E. Rosales-Asensio (Eds.), Energy services fundamentals and financing (pp. 251–275). Academic Press. https://doi.org/10.1016/B978-0-12-820592-1.00011-7
   Google Scholar
• Sattler, L., Lamouri, S., Pellerin, R., & Maigne, T. (2019). Interoperability aims in building information modelling exchanges: A literature review. IFAC-PapersOnLine, 52(13), 271–276. https://doi.org/10.1016/j.ifacol.2019.11.180
   Google Scholar
• Senave, M., & Boeykens, S. (2015). Link between BIM and energy simulation (pp. 341–352). https://doi.org/10.2495/BIM150291
   Google Scholar
• Spider gbXML Tools. (2018). Spider GbXML Tools. https://www.ladybug.tools/spider-gbxml-tools/#README.md
   Google Scholar
• Spiridigliozzi, G., De Santoli, L., Cornaro, C., Basso, G. L., & Barati, S. (2019). BIM tools interoperability for designing energy-efficient buildings. AIP Conference Proceedings, 2191(1), 020140. https://doi.org/10.1063/1.5138873
   Google Scholar
• Sun, R., Hu, Z., Gowri, K., & Xu, W. (2020). Improving the interoperability of gbXML data model through redefining data mapping rules of HVAC systems. ASHRAE Transactions, 126(2), 157–166.
   Google Scholar
• Weise, M., Liebich, T., See, R., Bazjanac, V., Laine, T., & Welle, B. (2011). Implementation guide: Space boundaries for energy analysis. General Services Administration (GSA) and Open Geospatial Consortium (OSC) (pp. 1–62).
   Google Scholar
• Yang, Y., Pan, Y., Zeng, F., Lin, Z., & Li, C. (2022). A gbXML reconstruction workflow and tool development to improve the geometric interoperability between BIM and BEM. Buildings, 12(2), 221. https://doi.org/10.3390/buildings12020221
   Web of Science ®Google Scholar