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Challenges for Digitalisation in Building Renovation to Enhance the Efficiency of the Process: A Spanish Case Study

Author

Listed:
  • Natalia Lasarte

    (TECNALIA, Basque Research and Technology Alliance (BRTA), Astondo Bidea, Edificio 700, Parque tecnológico de Bizkaia, 48160 Derio, Spain)

  • Peru Elguezabal

    (TECNALIA, Basque Research and Technology Alliance (BRTA), Astondo Bidea, Edificio 700, Parque tecnológico de Bizkaia, 48160 Derio, Spain)

  • Maialen Sagarna

    (Department of Architecture, University of the Basque Country UPV/EHU, Plaza Oñati 2, 20018 Donostia-San Sebastián, Spain)

  • Iñigo Leon

    (Department of Architecture, University of the Basque Country UPV/EHU, Plaza Oñati 2, 20018 Donostia-San Sebastián, Spain)

  • Juan Pedro Otaduy

    (Department of Architecture, University of the Basque Country UPV/EHU, Plaza Oñati 2, 20018 Donostia-San Sebastián, Spain)

Abstract

Although construction is one of the largest industries in the world, it is one of the least digitised and its productivity is still very low. Excesses of time and cost are common and are even more accentuated for building renovation. Recently, the building information modeling (BIM) methodology has strongly entered in the construction sector and appears to be an effective paradigm shift. Considering all of the previously mentioned aspects, this article addresses the identification and analysis of the critical barriers of renovation and the potential for digitalisation to overcome them using BIM. The methodology that was used is based on an open innovation approach called Living Labs, where consultations with the key stakeholders of the construction process aims for a higher digitalisation to focus on real needs and fitted to the user’s requirements. Starting from a worldwide survey, the analysis of the Spanish casuistry is deepened. From the analysis of barriers and opportunities, the necessary requirements for an optimal BIM application in renovation are highlighted. After identifying the key aspects that each stakeholder’ typology has considered as relevant, a set of key performance indicators have been selected, to monitor the improvements in the renovation process when BIM is adopted.

Suggested Citation

  • Natalia Lasarte & Peru Elguezabal & Maialen Sagarna & Iñigo Leon & Juan Pedro Otaduy, 2021. "Challenges for Digitalisation in Building Renovation to Enhance the Efficiency of the Process: A Spanish Case Study," Sustainability, MDPI, vol. 13(21), pages 1-25, November.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:21:p:12139-:d:671304
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    References listed on IDEAS

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    1. Carolina Cruz Villazón & Leonardo Sastoque Pinilla & José Ramón Otegi Olaso & Nerea Toledo Gandarias & Norberto López de Lacalle, 2020. "Identification of Key Performance Indicators in Project-Based Organisations through the Lean Approach," Sustainability, MDPI, vol. 12(15), pages 1-19, July.
    2. Jin-Up Kim & Oussama A. Hadadi & Hyunjoo Kim & Jonghyeob Kim, 2018. "Development of A BIM-Based Maintenance Decision-Making Framework for the Optimization between Energy Efficiency and Investment Costs," Sustainability, MDPI, vol. 10(7), pages 1-15, July.
    3. Isabel Jordan-Palomar & Patricia Tzortzopoulos & Jorge García-Valldecabres & Eugenio Pellicer, 2018. "Protocol to Manage Heritage-Building Interventions Using Heritage Building Information Modelling (HBIM)," Sustainability, MDPI, vol. 10(4), pages 1-19, March.
    4. Abdullahi Ahmed & Danny McGough & Monica Mateo-Garcia, 2017. "Testing innovative technologies for retrofitting: Coventry University as a living lab," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 4(3), pages 257-270, March.
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    Cited by:

    1. Marco Pau & Panagiotis Kapsalis & Zhiyu Pan & George Korbakis & Dario Pellegrino & Antonello Monti, 2022. "MATRYCS—A Big Data Architecture for Advanced Services in the Building Domain," Energies, MDPI, vol. 15(7), pages 1-22, April.
    2. Kristina Galjanić & Ivan Marović & Nikša Jajac, 2022. "Decision Support Systems for Managing Construction Projects: A Scientific Evolution Analysis," Sustainability, MDPI, vol. 14(9), pages 1-23, April.

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