Please use this identifier to cite or link to this item: http://hdl.handle.net/2067/3074
Title: Effect of brewery size on the main process parameters and cradle-to-grave carbon footprint of lager beer
Authors: Cimini, Alessio
Moresi, Mauro
Keywords: Brewery size;Carbon footprint;Glass and PET bottles;Lager beer;Sensitivity analysis;Specific thermal and electric energy consumption
Issue Date: 7-Aug-2017
Publisher: John Wiley & Sons
Source: Cimini, A., Moresi, M. 2017. Effect of brewery size on the main process parameters and cradle-to-grave carbon footprint of lager beer. "Journal of industrial ecology" 55 (2): 1139-1155
Abstract: 
Several carbon footprint (CF) studies have been so far carried out to assess the environmental impact of the brewing industry. In this work, a series of reliable secondary data for small-, medium-, and large-sized breweries were collected and used to develop a simplified model to estimate the cradle-to-grave (C2G) CF of the production of a functional unit consisting of 1 hL of lager beer packed in 66-cL (glass or polyethylene terephthalate, PET) bottles. With reference to the typical operating conditions of nine breweries of different size, the C2G CF was found to increase up to 43-45% either for glass or PET bottles as the brewery size reduced from 10x106 to 500 hL/yr. Whatever the brewery size, the use of PET instead of glass bottles lowered the beer CF by 2.7+/+0.9%. The contribution of the consumer and post-consumer waste disposal phases was found to be significant. Thus, beer makers should pay attention to the recycling ratio of post-consumer packaging in the sales areas. The cradle-to-grave CF tended to increase linearly with the overall (thermal and electric) energy needed to produce 1 hL of beer, almost independently of the primary packaging material used. Such a simple and easy-to-measure quantitative indicator might be more than sufficient not only to estimate qualitatively the environmental burden of beer production, but also to identify which mitigation opportunities might be explored or to prioritize primary data collection efforts to refine CF calculation.
URI: http://dx.doi.org/10.1111/jiec.12642
http://hdl.handle.net/2067/3074
ISSN: 1530-9290
Appears in Collections:DIBAF - Archivio della produzione scientifica

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