Development of an open-source carbon footprint calculator of the UK craft brewing value chain
Development of an open-source carbon footprint calculator of the UK craft brewing value chain
复制标题
开发英国精酿啤酒价值链的开源碳足迹计算器
DOI:
10.1016/j.jclepro.2023.140181
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发表时间:
2024
影响因子:
11.1
通讯作者:
Bowler A
中科院分区:
文献类型:
--
作者:
Bowler A
Craft breweries may fall behind large brewing companies in reducing the carbon footprints of their value chains due to limited resources, financial constraints, and a lack of technical knowledge to fully understand their emissions. However, by increasing their awareness of the impact of their entire value chains, craft breweries can accelerate the decarbonisation of the industry by creating competition among breweries to appeal to environmentally conscious consumers. This work developed a freely available carbon calculator (10.6084/m9.figshare.22758692) using transparent, open-source data which may be used for benchmarking and identifying opportunities for emission reductions in UK craft breweries as well as providing a reference point for future carbon footprint analyses of global brewing value chains. The carbon footprint for craft brewing was calculated for a wide range of packaging types across three realistic scenarios (low, medium, and high carbon footprints) based on collected data and addresses the discrepancies between values reported in previous literature. Overall, the calculated carbon footprints ranged between 205 (20 L steel kegs, low carbon footprint scenario) and 1483 (single-use, 0.33 L glass bottles, high carbon footprint scenario) gCO2e per litre of beer. Novel hotspots (including wort boiling, the packaging process in a brewery, and the contribution of secondary and tertiary packaging) were identified. The overwhelming contribution of Scope 3 emissions (contributing between 57 and 95 % of the total carbon footprint) further emphasised the need to provide increased knowledge to craft breweries.
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DOI:
10.1057/9781137466181_11
发表时间:
2016
期刊:
The Journal of psychology
影响因子:
--
作者:
E. Piron;E. Poelmans
通讯作者:
E. Poelmans
DOI:
--
发表时间:
2012
期刊:
影响因子:
--
作者:
R. Melon;V. Wergifosse;R. Renzoni;Angélique Léonard
通讯作者:
Angélique Léonard
影响因子:
11.1
作者:
J. Patchell
通讯作者:
J. Patchell
DOI:
--
发表时间:
2016
期刊:
影响因子:
--
作者:
I. D. Marco;S. Miranda;S. Riemma;R. Iannone
通讯作者:
R. Iannone
影响因子:
3.9
作者:
Niclas Erhardt;Carlos Martín;J. Bolton;Matthew T. Luth
通讯作者:
Matthew T. Luth