Non-graphical data structure for the purpose of BIM-based Life Cycle Assessment: Methodology for the Czech environment

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Non-graphical data structure for the purpose of BIM-based Life Cycle Assessment: Methodology for the Czech environment

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Non-graphical data structure for the purpose of BIM-based Life Cycle Assessment: Methodology for the Czech environment

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20701 - Environmental and geological engineering, geotechnics

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

6th World Multidisciplinary Earth Sciences Symposium 7-11 September 2020, Prague, Czech Republic

ISBN

—

ISSN

1755-1307

e-ISSN

—

Počet stran výsledku

9

Strana od-do

1-9

Název nakladatele

IOP Publishing

Místo vydání

Prague

Místo konání akce

Praha

Datum konání akce

7. 9. 2020

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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