CARTIF PROJECTS
BIM-SPEED
Increase the use of BIM methodologies in comprehensive renovations of buildings
Description
BIM-SPEED (Harmonised Building Information Speedway for Energy-Efficient Renovation) has as its main objective to seeks to increase the use of BIM methodologies in the deep renovation of buildings for energy efficiency and aims to enable all stakeholders to adopt BIM to reduce the time of deep renovation projects by at least 30% by providing them with:
- An affordable BIM cloud platform.
- A set of inter-operable BIM tools.
- Standardised procedures for As-Built data acquisition, modelling, simulation, implementation and maintenance of renovation solutions.
Objectives
- Enabling all stakeholders to adopt BIM to reduce the time of deep renovation projects by 30%.
- Providing affordable BIM cloud platform, tools and standardised procedures.
- Creating and implementing renovation solutions with guaranteed energy performance.
- 13 different residential buildings, which occupy all the types of housing that exist in Europe, will be used for the demonstration.
Actions
- To develop and validate interoperable BIM tools to support all actors in the renovation market (designers, HVAC engineers, construction firms), stakeholders (building owners, local authorities), and inhabitants.
- To define and standardise BIM-based procedures for acquiring and interpreting data from the existing buildings, as-built modelling, building energy modelling and performance analysis.
Expected results
- A cloud-based BIM platform that is open, affordable and user-friendly
- A set of inter-operable BIM tools, existing and new ones, all connected through the BIM cloud platform.
- Validate and standardise procedures for BIM-based activities throughout the whole renovation process.
Publications
Scientific dissemination on impact journals
- Álvarez-Díaz, S., Mulero-Palencia, S., Andrés-Chicote, M., Martarelli, M. An innovative approach to automate BIM data retrieval and processing for building acoustic comfort calculations based on the IFC standard. Journal of Building and Environment, Sep 2024. https://doi.org/10.1016/j.buildenv.2024.112072
- Sanz-Jimeno, R., Álvarez-Díaz, S. A tool based on the industry foundation classes standard for dynamic data collection and automatic generation of building automation control networks. Journal of Building Engineering, vol. 78, p. 107625, Nov. 2023. https://doi.org/10.1016/j.jobe.2023.107625
- Mulero-Palencia S, Álvarez-Díaz S, Andrés-Chicote M. Machine Learning for the Improvement of Deep Renovation Building Projects Using As-Built BIM Models. Sustainability. 2021; 13(12):6576. https://doi.org/10.3390/su13126576
Other non-impact publication
- Llamas,J. (2022). BIM-Speed training dataset for HVAC detection using Deep Learning [Data set]. Zenodo. https://doi.org/10.5281/zenodo.12158844
- Álvarez-Díaz, S, Román-Cembranos, J., Łukaszewska, A., Dymarski, P. “3D Modelling of Existing Asset Based on Point Clouds: A Comparison of Scan2BIM Approaches”. In proceedings from: IEEE MetroLivEnv 2022: 2022 IEEE International Workshop on Metrology for Living Environment (MetroLivEnv), Cosenza, Italy, 25-27 May 2022. http://doi.org/10.1109/MetroLivEnv54405.2022.9826964 (Award: “Best Paper Presented by a Woman”)
- Martin Redmond A., Álvarez-Díaz, S., Pastorelly, N.“Investigating the Conditions of Emerging Requirements of Advanced Technologies for BIM-SPEED Platform”. In proceedings from: International Conference of Modern Systems Engineering Solutions MODERN SYSTEMS 2022, Nice, France, 24-28 July 2022. https://www.thinkmind.org/index.php?view=article&articleid=modern_systems_2022_1_10_10004 (Award: “Best Paper”)
Partners
Video presentation of the project:
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H2020
H2020-NMBP-EEB-2018
Overall budget: 6.997.781,25 €
EU Contribution: 6.997.781,25 €
Period: 11/2018 – 10/2022
Responsible
Sonia Álvarez Díaz
Energy Division
Networking
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