The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Critical review of bim-based LCA method to buildings
Open accessAbstract
Abstract Current environmental problems arising from the building sector require tools to help reduce resource consumption and environmental impact. Life Cycle Assessment (LCA) is a widely used tool to quantify the environmental impacts of the building sector. The literature recognizes the need to simplify the method application, especially to reduce and optimize data acquisition. Building Information Modeling (BIM) is defined as a virtual 3D building model which integrates with a database of their building elements. Several studies recognize that the integration of BIM and LCA can simplify data acquisition of the building as well as provide both tools with feedback. This paper reviews recent studies centered on BIM-based LCA, and also carries out a methodological analysis of their integration, focusing on the way that BIM can contribute to simplifying data input, and optimize output data and results during the LCA application in buildings. The results show the viability to develop methods based on BIM models for organizing building information used to estimate environmental and energy consumption impacts based on LCA, including: templates and plug-ins for BIM software, and the integration of automated processes combining different data and software. Reviewed papers are simplified LCA applications, mostly focused on CO2 emission calculation during the early stages of design. Finally, methodological challenges and recommendations for BIM and LCA tools are propose.
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Cites
The project benefits of Building Information Modelling (BIM)
Bryde, D., Broquetas, M., & Volm, J. M. (2013) · International Journal of Project Management · doi:10.1016/j.ijproman.2012.12.001 · Cited by 1,268
Yeheyis, M., Hewage, K., Alam, M. S., Eskicioglu, C., & Sadiq, R. (2013) · Clean Technologies and Environmental Policy · doi:10.1007/s10098-012-0481-6 · Cited by 640
Cited by
Röck, M., Hollberg, A., Habert, G., & Passer, A. (2018) · Building and Environment · doi:10.1016/j.buildenv.2018.05.006 · Cited by 341
BIM-Based End-of-Lifecycle Decision Making and Digital Deconstruction: Literature Review
Akbarieh, A., Jayasinghe, L. B., Waldmann, D., & Teferle, F. N. (2020) · Sustainability · doi:10.3390/su12072670 · Cited by 183
van Capelleveen, G., Vegter, D., Olthaar, M., & van Hillegersberg, J. (2023) · Resources, Conservation & Recycling Advances · doi:10.1016/j.rcradv.2023.200131 · Cited by 117
A Review of Digital Twin Applications in Civil and Infrastructure Emergency Management
Cheng, R., Hou, L., & Xu, S. (2023) · Buildings · doi:10.3390/buildings13051143 · Cited by 94
Durão, V, Silvestre, J. D., Mateus, R., & De Brito, J. (2019) · IOP Conference Series: Earth and Environmental Science · doi:10.1088/1755-1315/323/1/012147 · Cited by 22
Metadata
- Authors
- Soust-Verdaguer, B., Llatas, C., & García-Martínez, A.
- Venue
- Energy and Buildings
- Publisher
- Elsevier BV
- Published
- 2017-02
- Volume
- 136
- Pages
- 110-120
- ISSN
- 0378-7788 (ISSN-L)
- OpenAlex
- W2560807334
- Cited by
- 512
- References
- 2
- FWCI
- 30.29
- Type
- journal article
- Language
- en
- Open access
- green
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- Soust-Verdaguer, B., Llatas, C., & García-Martínez, A. (2017). Critical review of bim-based LCA method to buildings. Energy and Buildings. https://doi.org/10.1016/j.enbuild.2016.12.009
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
