Use this url to cite publication: https://hdl.handle.net/20.500.14172/17751
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BIM-based process management model for building design and refurbishment
Type of publication
Straipsnis Web of Science ir Scopus duomenų bazėje / Article in Web of Science and Scopus database (S1)
Type of document
type::text::journal::journal article::research article
Author(s)
Ustinovičius, Leonas | Vilniaus Gedimino technikos universitetas |
Popov, Vladimir | Vilniaus Gedimino technikos universitetas |
Starynina, Jovita | Vilniaus Gedimino technikos universitetas |
Vilutienė, Tatjana | Vilniaus Gedimino technikos universitetas |
Miedziałowski, Czesław | Bialystok University of Technology |
Title
BIM-based process management model for building design and refurbishment
Publisher (trusted)
Elsevier B.V.
Date Issued
Date Issued |
---|
2018 |
Extent
p. 1136-1149
Is part of
Archives of civil and mechanical engineering. Wrocław : Elsevier B.V., 2018, vol. 18, iss. 4.
Field of Science
Abstract
A conceptual model of BIM-based design and refurbishment, based on pre-built indicators and allowing the assessment of the building energy demand and eco-building parameters, is presented. The new approach presented in this model creates a knowledge-based decision-making environment for refurbishment strategies and quality control, in this way creating the preconditions to bridge the gap between expected and actual energy performance. The model with integration of new BIM-based optimization subsystems enables energy management and optimization processes. For a comprehensive evaluation of refurbishment measures, it is suggested to include energy efficiency, eco-efficiency, and economic parameters.
ISSN (of the container)
1644-9665
2083-3318
WOS
000446504200011
Scopus
2-s2.0-85045030607
eLABa
27478179
Other Identifier(s)
Academic Search Complete:132689683
Coverage Spatial
Lenkija / Poland (PL)
Language
Anglų / English (en)
Bibliographic Details
41
Access Rights
Apribota prieiga / Restricted Access
File(s)bim_based_process_management_model_for_building.pdf (3.3 MB) Restricted Access