The assessment of the environmental impacts related to the building lifecycle is a very complex issue because of the high number of variables involved. The aim of the research is to structure the information content into the Building Information Modelling (BIM) framework in order to conduct a Life Cycle Assessment (LCA). An information flows matrix is developed through the investigation of the parameters responsible for the environmental impacts of buildings. Such information content is tested on a case study after implementing the proposed parameters into a BIM. The purpose is to verify that the identified parameters, implemented in the BIM environment, are sufficient to conduct the LCA. The results show that the proposed parameters could potentially improve the data reliability and consistency in the process of sharing information from the digital model to the LCA software.

Life cycle assessment data structure for building information modelling / Cavalliere, Carmine; Dell'Osso, Guido Raffaele; Pierucci, Alessandra; Iannone, Francesco. - In: JOURNAL OF CLEANER PRODUCTION. - ISSN 0959-6526. - STAMPA. - 199:(2018), pp. 193-204. [10.1016/j.jclepro.2018.07.149]

Life cycle assessment data structure for building information modelling

Cavalliere, Carmine;Dell'Osso, Guido Raffaele;Iannone, Francesco
2018-01-01

Abstract

The assessment of the environmental impacts related to the building lifecycle is a very complex issue because of the high number of variables involved. The aim of the research is to structure the information content into the Building Information Modelling (BIM) framework in order to conduct a Life Cycle Assessment (LCA). An information flows matrix is developed through the investigation of the parameters responsible for the environmental impacts of buildings. Such information content is tested on a case study after implementing the proposed parameters into a BIM. The purpose is to verify that the identified parameters, implemented in the BIM environment, are sufficient to conduct the LCA. The results show that the proposed parameters could potentially improve the data reliability and consistency in the process of sharing information from the digital model to the LCA software.
2018
https://www.sciencedirect.com/science/article/pii/S0959652618321383
Life cycle assessment data structure for building information modelling / Cavalliere, Carmine; Dell'Osso, Guido Raffaele; Pierucci, Alessandra; Iannone, Francesco. - In: JOURNAL OF CLEANER PRODUCTION. - ISSN 0959-6526. - STAMPA. - 199:(2018), pp. 193-204. [10.1016/j.jclepro.2018.07.149]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/159594
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