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Building Information Modelling for analysis of energy efficient industrial buildings – A case study

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  • Gourlis, Georgios
  • Kovacic, Iva

Abstract

Industrial buildings demand higher amount of energy than other building typologies, thus powerful modelling and simulation tools for energy-optimisation and identification of synergies-potentials between the building envelope, building services and production systems are needed.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:rensus:v:68:y:2017:i:p2:p:953-963
    DOI: 10.1016/j.rser.2016.02.009
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    References listed on IDEAS

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    1. Foucquier, Aurélie & Robert, Sylvain & Suard, Frédéric & Stéphan, Louis & Jay, Arnaud, 2013. "State of the art in building modelling and energy performances prediction: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 23(C), pages 272-288.
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    6. Ionescu, Constantin & Baracu, Tudor & Vlad, Gabriela-Elena & Necula, Horia & Badea, Adrian, 2015. "The historical evolution of the energy efficient buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 243-253.
    7. De Boeck, L. & Verbeke, S. & Audenaert, A. & De Mesmaeker, L., 2015. "Improving the energy performance of residential buildings: A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 960-975.
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    Cited by:

    1. Pallonetto, Fabiano & De Rosa, Mattia & D’Ettorre, Francesco & Finn, Donal P., 2020. "On the assessment and control optimisation of demand response programs in residential buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 127(C).
    2. 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.
    3. Pessoa, S. & Guimarães, A.S. & Lucas, S.S. & Simões, N., 2021. "3D printing in the construction industry - A systematic review of the thermal performance in buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 141(C).
    4. Kamel, Ehsan & Memari, Ali M., 2018. "Automated Building Energy Modeling and Assessment Tool (ABEMAT)," Energy, Elsevier, vol. 147(C), pages 15-24.
    5. Rastogi, Ankush & Choi, Jun-Ki & Hong, Taehoon & Lee, Minhyun, 2017. "Impact of different LEED versions for green building certification and energy efficiency rating system: A Multifamily Midrise case study," Applied Energy, Elsevier, vol. 205(C), pages 732-740.
    6. Gao, Hao & Koch, Christian & Wu, Yupeng, 2019. "Building information modelling based building energy modelling: A review," Applied Energy, Elsevier, vol. 238(C), pages 320-343.
    7. Balali, Amirhossein & Yunusa-Kaltungo, Akilu & Edwards, Rodger, 2023. "A systematic review of passive energy consumption optimisation strategy selection for buildings through multiple criteria decision-making techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 171(C).
    8. de Rubeis, Tullio & Nardi, Iole & Ambrosini, Dario & Paoletti, Domenica, 2018. "Is a self-sufficient building energy efficient? Lesson learned from a case study in Mediterranean climate," Applied Energy, Elsevier, vol. 218(C), pages 131-145.

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