Sensitivity analysis in a life cycle assessment of an aged red wine production from Catalonia, Spain

2016 ◽  
Vol 562 ◽  
pp. 571-579 ◽  
Author(s):  
M. Meneses ◽  
C.M. Torres ◽  
F. Castells
2021 ◽  
Vol 128 ◽  
pp. 1-15
Author(s):  
Navarro Ferronato ◽  
Luca Moresco ◽  
Gabriela Edith Guisbert Lizarazu ◽  
Marcelo Antonio Gorritty Portillo ◽  
Fabio Conti ◽  
...  

Author(s):  
Md.Musharof Hussain Khan ◽  
Ivan Deviatkin ◽  
Jouni Havukainen ◽  
Mika Horttanainen

Abstract Purpose Waste recycling is one of the essential tools for the European Union’s transition towards a circular economy. One of the possibilities for recycling wood and plastic waste is to utilise it to produce composite product. This study analyses the environmental impacts of producing composite pallets made of wood and plastic waste from construction and demolition activities in Finland. It also compares these impacts with conventional wooden and plastic pallets made of virgin materials. Methods Two different life cycle assessment methods were used: attributional life cycle assessment and consequential life cycle assessment. In both of the life cycle assessment studies, 1000 trips were considered as the functional unit. Furthermore, end-of-life allocation formula such as 0:100 with a credit system had been used in this study. This study also used sensitivity analysis and normalisation calculation to determine the best performing pallet. Result and discussion In the attributional cradle-to-grave life cycle assessment, wood-polymer composite pallets had the lowest environmental impact in abiotic depletion potential (fossil), acidification potential, eutrophication potential, global warming potential (including biogenic carbon), global warming potential (including biogenic carbon) with indirect land-use change, and ozone depletion potential. In contrast, wooden pallets showed the lowest impact on global warming potential (excluding biogenic carbon). In the consequential life cycle assessment, wood-polymer composite pallets showed the best environmental impact in all impact categories. In both attributional and consequential life cycle assessments, plastic pallet had the maximum impact. The sensitivity analysis and normalisation calculation showed that wood-polymer composite pallets can be a better choice over plastic and wooden pallet. Conclusions The overall results of the pallets depends on the methodological approach of the LCA. However, it can be concluded that the wood-polymer composite pallet can be a better choice over the plastic pallet and, in most cases, over the wooden pallet. This study will be of use to the pallet industry and relevant stakeholders.


2021 ◽  
Vol 167 ◽  
pp. 105318
Author(s):  
Giovanna Croxatto Vega ◽  
Joshua Sohn ◽  
Juliën Voogt ◽  
Morten Birkved ◽  
Stig Irving Olsen ◽  
...  

2016 ◽  
Vol 22 (7) ◽  
pp. 1125-1137 ◽  
Author(s):  
Evelyne A. Groen ◽  
Eddie A. M. Bokkers ◽  
Reinout Heijungs ◽  
Imke J. M. de Boer

2018 ◽  
Vol 913 ◽  
pp. 1018-1026
Author(s):  
Yan Qiong Sun ◽  
Yu Liu ◽  
Su Ping Cui

In this paper, a variety of blocks were grouped into the autoclaved blocks and fired blocks as far as the productive technology is concerned. In order to compare the life cycle impacts of the two kinds of the blocks, a life cycle assessment of two products on the functional unit 1m3 was carried out through the exploitation of mineral stage, transportation stage and the production of the blocks stage on the considering of the resource and energy consumption and the pollutant discharges. The results demonstrated that the fired blocks appeared to have less impact than autoclaved concrete blocks on human health, marine ecotoxicity toxicity and terrestrial ecotoxicity toxicity nearly 30%. The raw coal led to the serious impacts on the fossil depletion through the cement production stage of the autoclaved concrete blocks accounting for 45.86% and the gangue exploitation stage of the fired blocks accounting for 42.5%. Assessment of the data quality that the data was of pretty high or within the permission. The sensitivity analysis and contribution analysis assessment showed that the conclusion were robust.


2019 ◽  
Vol 25 (2) ◽  
pp. 222-239 ◽  
Author(s):  
Giovanni Di Lullo ◽  
Eskinder Gemechu ◽  
Abayomi Olufemi Oni ◽  
Amit Kumar

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