The dimension stone sector is more and more active in developing new solutions to improve the sustainability of its supply chain, partly as a consequence of the current EU policies on Circular Economy and Raw Materials. The Life Cycle Assessment (LCA) is a recognized scientific tool for evaluating environmental impacts of the processes. Nevertheless, in the stone sector, LCA is hindered by the scarce availability of Life Cycle Inventory (LCI) datasets for the specific processes of the stone supply chain. This paper provides LCI datasets of the most common and widespread techniques and related technologies for quarrying, cutting and finishing soft-weak stones. To this aim primary data were collected in Italian marble quarries and processing plants and in companies producing cutting tools. When necessary, industry data were complemented with secondary data from literature. High replicability and flexibility of the datasets is obtained through the provision of Unit process inventories for each technology/technique and through the set of parameters. In addition, the uncertainty of the resulting LCI datasets has been evaluated with the well-established procedure of Ecoinvent pedigree matrix. The availability of these datasets contributes to the population of Life Cycle databases and is expected to boost the measurement and enhancement of the key aspects of sustainability in the stone sector.

Production Chains of Soft-Weak Stones: Life Cycle Inventory of Techniques and Technologies / Bianco, Isabella; Blengini, GIOVANNI ANDREA - In: Global Stone Congress IIELETTRONICO. - [s.l] : Trans Tech Publications Ltd, 2019. - ISBN 978-3-0357-1524-8. - pp. 137-144 [10.4028/www.scientific.net/KEM.848.137]

Production Chains of Soft-Weak Stones: Life Cycle Inventory of Techniques and Technologies

Bianco Isabella;Blengini Gian Andrea
2019

Abstract

The dimension stone sector is more and more active in developing new solutions to improve the sustainability of its supply chain, partly as a consequence of the current EU policies on Circular Economy and Raw Materials. The Life Cycle Assessment (LCA) is a recognized scientific tool for evaluating environmental impacts of the processes. Nevertheless, in the stone sector, LCA is hindered by the scarce availability of Life Cycle Inventory (LCI) datasets for the specific processes of the stone supply chain. This paper provides LCI datasets of the most common and widespread techniques and related technologies for quarrying, cutting and finishing soft-weak stones. To this aim primary data were collected in Italian marble quarries and processing plants and in companies producing cutting tools. When necessary, industry data were complemented with secondary data from literature. High replicability and flexibility of the datasets is obtained through the provision of Unit process inventories for each technology/technique and through the set of parameters. In addition, the uncertainty of the resulting LCI datasets has been evaluated with the well-established procedure of Ecoinvent pedigree matrix. The availability of these datasets contributes to the population of Life Cycle databases and is expected to boost the measurement and enhancement of the key aspects of sustainability in the stone sector.
2019
978-3-0357-1524-8
Global Stone Congress II
File in questo prodotto:
File Dimensione Formato  
GSC_Bianco_Paper_SM_rev2.pdf

non disponibili

Tipologia: 1. Preprint / submitted version [pre- review]
Licenza: Non Pubblico - Accesso privato/ristretto
Dimensione 245.19 kB
Formato Adobe PDF
245.19 kB Adobe PDF   Visualizza/Apri   Richiedi una copia
2020 Production KEM.848.137.pdf

non disponibili

Tipologia: 2a Post-print versione editoriale / Version of Record
Licenza: Non Pubblico - Accesso privato/ristretto
Dimensione 713.61 kB
Formato Adobe PDF
713.61 kB Adobe PDF   Visualizza/Apri   Richiedi una copia
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2857106