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INTEGRATED SUSTAINABILITY ASSESSMENT USING BIM.

Authors :
Henriques Alves Ferreira, Maria Teresa
Aguiar Costa, António
Dinis Silvestre, José
Source :
Acta Polytechnica CTU Proceedings. 2022, Vol. 38, p116-123. 8p.
Publication Year :
2022

Abstract

The construction industry is responsible for 40% of the energy consumption and 36% of the CO2 emissions, and buildings are responsible for a significant part of energy consumption in Europe. Thus, a growing concern regarding environmental impacts in the construction sector is in place. Reducing these impacts and optimise the design process is a major priority, and technology needs to be integrated along with the design to allow for better buildings performance. Building Information Modelling (BIM) methodology is one of the technologies that is revolutionising how the supply chain delivers the construction projects, allowing for an overview of the whole life cycle, keeping track of the data along the process, and potentiating more advanced simulations and supported decisions. The tool proposed in this paper aims to integrate different types of sustainability analysis, namely Streamlined Life Cycle Assessment (LCA), Carbon Footprint, Life Cycle Cost (LCC) and Level(s) framework with BIM. This involves defining adequate Product Data Templates (PDT) and a database structure for BIM objects, including the necessary parameters to enable designers to do holistic and dynamic assessments from early design stages to a complete LCA. Also, considering the importance of using BIM to visualise different scenarios, a graphical interface will be developed to show the key sustainability indicators and support decision-making for more sustainable buildings. The results achieved show that technology must be taken to meet Climate most ambition targets and reduce the impact of construction. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
23365382
Volume :
38
Database :
Academic Search Index
Journal :
Acta Polytechnica CTU Proceedings
Publication Type :
Academic Journal
Accession number :
164162280
Full Text :
https://doi.org/10.14311/APP.2022.38.0116