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Building information modeling for energy retrofitting – A review

Author

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  • Sanhudo, Luís
  • Ramos, Nuno M.M.
  • Poças Martins, João
  • Almeida, Ricardo M.S.F.
  • Barreira, Eva
  • Simões, M. Lurdes
  • Cardoso, Vítor

Abstract

Building Information Modeling (BIM), as a rising technology in the Architecture, Engineering and Construction (AEC) industry, has been applied to various research topics from project planning, structural design, facility management, among others. Furthermore, with the increasing demand for energy efficiency, the AEC industry requires an expeditious energy retrofit of the existing building stock to successfully achieve the 2020 Energy Strategy targets.

Suggested Citation

  • Sanhudo, Luís & Ramos, Nuno M.M. & Poças Martins, João & Almeida, Ricardo M.S.F. & Barreira, Eva & Simões, M. Lurdes & Cardoso, Vítor, 2018. "Building information modeling for energy retrofitting – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 89(C), pages 249-260.
  • Handle: RePEc:eee:rensus:v:89:y:2018:i:c:p:249-260
    DOI: 10.1016/j.rser.2018.03.064
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    References listed on IDEAS

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    1. Abanda, F.H. & Byers, L., 2016. "An investigation of the impact of building orientation on energy consumption in a domestic building using emerging BIM (Building Information Modelling)," Energy, Elsevier, vol. 97(C), pages 517-527.
    2. Méndez Echenagucia, Tomás & Capozzoli, Alfonso & Cascone, Ylenia & Sassone, Mario, 2015. "The early design stage of a building envelope: Multi-objective search through heating, cooling and lighting energy performance analysis," Applied Energy, Elsevier, vol. 154(C), pages 577-591.
    3. Evonne Miller & Laurie Buys, 2008. "Retrofitting commercial office buildings for sustainability: tenants' perspectives," Journal of Property Investment & Finance, Emerald Group Publishing, vol. 26(6), pages 552-561, September.
    4. Harmathy, Norbert & Magyar, Zoltán & Folić, Radomir, 2016. "Multi-criterion optimization of building envelope in the function of indoor illumination quality towards overall energy performance improvement," Energy, Elsevier, vol. 114(C), pages 302-317.
    5. Asdrubali, Francesco & Baldinelli, Giorgio & Bianchi, Francesco, 2012. "A quantitative methodology to evaluate thermal bridges in buildings," Applied Energy, Elsevier, vol. 97(C), pages 365-373.
    6. Goia, Francesco & Haase, Matthias & Perino, Marco, 2013. "Optimizing the configuration of a façade module for office buildings by means of integrated thermal and lighting simulations in a total energy perspective," Applied Energy, Elsevier, vol. 108(C), pages 515-527.
    7. Nagy, Zoltán & Rossi, Dino & Hersberger, Christian & Irigoyen, Silvia Domingo & Miller, Clayton & Schlueter, Arno, 2014. "Balancing envelope and heating system parameters for zero emissions retrofit using building sensor data," Applied Energy, Elsevier, vol. 131(C), pages 56-66.
    8. Ramos, Greici & Ghisi, Enedir, 2010. "Analysis of daylight calculated using the EnergyPlus programme," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(7), pages 1948-1958, September.
    9. Chidiac, S.E. & Catania, E.J.C. & Morofsky, E. & Foo, S., 2011. "Effectiveness of single and multiple energy retrofit measures on the energy consumption of office buildings," Energy, Elsevier, vol. 36(8), pages 5037-5052.
    10. Fokaides, Paris A. & Kalogirou, Soteris A., 2011. "Application of infrared thermography for the determination of the overall heat transfer coefficient (U-Value) in building envelopes," Applied Energy, Elsevier, vol. 88(12), pages 4358-4365.
    11. Gourlis, Georgios & Kovacic, Iva, 2017. "Building Information Modelling for analysis of energy efficient industrial buildings – A case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P2), pages 953-963.
    12. Ma, Peizheng & Wang, Lin-Shu & Guo, Nianhua, 2015. "Maximum window-to-wall ratio of a thermally autonomous building as a function of envelope U-value and ambient temperature amplitude," Applied Energy, Elsevier, vol. 146(C), pages 84-91.
    13. Eleftheriadis, Stathis & Mumovic, Dejan & Greening, Paul, 2017. "Life cycle energy efficiency in building structures: A review of current developments and future outlooks based on BIM capabilities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 811-825.
    14. Amstalden, Roger W. & Kost, Michael & Nathani, Carsten & Imboden, Dieter M., 2007. "Economic potential of energy-efficient retrofitting in the Swiss residential building sector: The effects of policy instruments and energy price expectations," Energy Policy, Elsevier, vol. 35(3), pages 1819-1829, March.
    15. Santamouris, M. & Pavlou, C. & Doukas, P. & Mihalakakou, G. & Synnefa, A. & Hatzibiros, A. & Patargias, P., 2007. "Investigating and analysing the energy and environmental performance of an experimental green roof system installed in a nursery school building in Athens, Greece," Energy, Elsevier, vol. 32(9), pages 1781-1788.
    16. Gourlis, Georgios & Kovacic, Iva, 2016. "A study on building performance analysis for energy retrofit of existing industrial facilities," Applied Energy, Elsevier, vol. 184(C), pages 1389-1399.
    17. Capeluto, I. Guedi & Ochoa, Carlos E., 2014. "Simulation-based method to determine climatic energy strategies of an adaptable building retrofit façade system," Energy, Elsevier, vol. 76(C), pages 375-384.
    18. Aviel Verbruggen, 2008. "Retrofit of a century old land-house to a low-energy house," International Journal of Environmental Technology and Management, Inderscience Enterprises Ltd, vol. 9(4), pages 402-412.
    19. Evins, Ralph, 2015. "Multi-level optimization of building design, energy system sizing and operation," Energy, Elsevier, vol. 90(P2), pages 1775-1789.
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    Cited by:

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    2. Ali, Usman & Shamsi, Mohammad Haris & Bohacek, Mark & Hoare, Cathal & Purcell, Karl & Mangina, Eleni & O’Donnell, James, 2020. "A data-driven approach to optimize urban scale energy retrofit decisions for residential buildings," Applied Energy, Elsevier, vol. 267(C).
    3. Patricia Tzortzopoulos & Ling Ma & João Soliman Junior & Lauri Koskela, 2019. "Evaluating Social Housing Retrofit Options to Support Clients’ Decision Making—SIMPLER BIM Protocol," Sustainability, MDPI, vol. 11(9), pages 1-21, April.
    4. Ana Paola Vargas & Leon Hamui, 2021. "Thermal Energy Performance Simulation of a Residential Building Retrofitted with Passive Design Strategies: A Case Study in Mexico," Sustainability, MDPI, vol. 13(14), pages 1-21, July.
    5. Ahmed, Wahhaj & Asif, Muhammad, 2021. "A critical review of energy retrofitting trends in residential buildings with particular focus on the GCC countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    6. Sanjin Gumbarević & Ivana Burcar Dunović & Bojan Milovanović & Mergim Gaši, 2020. "Method for Building Information Modeling Supported Project Control of Nearly Zero-Energy Building Delivery," Energies, MDPI, vol. 13(20), pages 1-21, October.
    7. Linfeng Zou & Weimin Gui, 2020. "Simulation and prediction of geologic hazards and the impacts on homestay buildings in scenery spots through BIM," PLOS ONE, Public Library of Science, vol. 15(9), pages 1-14, September.
    8. Salata, Ferdinando & Ciancio, Virgilio & Dell'Olmo, Jacopo & Golasi, Iacopo & Palusci, Olga & Coppi, Massimo, 2020. "Effects of local conditions on the multi-variable and multi-objective energy optimization of residential buildings using genetic algorithms," Applied Energy, Elsevier, vol. 260(C).

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