Non-graphical data structure for the purpose of BIM-based Life Cycle Assessment: Methodology for the Czech environment
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F20%3APU138190" target="_blank" >RIV/00216305:26110/20:PU138190 - isvavai.cz</a>
Result on the web
<a href="https://iopscience.iop.org/article/10.1088/1755-1315/609/1/012048" target="_blank" >https://iopscience.iop.org/article/10.1088/1755-1315/609/1/012048</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1088/1755-1315/609/1/012048" target="_blank" >10.1088/1755-1315/609/1/012048</a>
Alternative languages
Result language
angličtina
Original language name
Non-graphical data structure for the purpose of BIM-based Life Cycle Assessment: Methodology for the Czech environment
Original language description
The article deals with the data structure for the purpose of life cycle assessment of buildings using the Building Information Model (BIM), for implementation in the Czech construction industry. Construction industry produces a significant amount of waste while the capacity of landfills is being limited. Effective management of already used materials, that have the potential to be reused, can significantly help to decrease consumption and save natural resources. Life Cycle Assessment (LCA) is a method that can be used to demonstrate the suitability of proposed materials, structures, or buildings in terms of their whole life cycle and its environmental impact. For the LCA evaluation it is crucial to obtain life cycle inventory (LCI) input data, however, the structure of this data is not clearly defined for the Czech environment. The BIM includes, in addition to geometry, the information part applicable to this assessment. The aim of the article is to analyse previous approaches and to define a BIM data structure for LCI purposes of a particular material. The new methodology is based on standardization of non-graphic information model data structure, called SNIM, which was developed for the Czech construction industry. From the SNIM database, "mark-up syntaxes" has been taken over to further identify the data for LCI base structure purposes. The MatLab matrix solver was used to classify these data. Advantages of the proposed methodology have been demonstrated on the case study of monolithic concrete slab structure, in which three types of concrete were evaluated. The results indicated the percentage of impact categories for each concrete type. These results are useful for expanding the BIM model with new data necessary for further LCA calculations. BIM model, extended by LCA calculation, will lead to a reduction of natural resources extraction as well as positive impact on environment.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20701 - Environmental and geological engineering, geotechnics
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
6th World Multidisciplinary Earth Sciences Symposium 7-11 September 2020, Prague, Czech Republic
ISBN
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ISSN
1755-1307
e-ISSN
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Number of pages
9
Pages from-to
1-9
Publisher name
IOP Publishing
Place of publication
Prague
Event location
Praha
Event date
Sep 7, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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