Product carbon footprint and energy analysis of alternative coffee products in Japan

DOI 機関リポジトリ (HANDLE) HANDLE オープンアクセス

書誌事項

公開日
2014-06-15
資源種別
journal article
権利情報
  • © 2014 Elsevier Ltd.
  • This is not the published version. Please cite only the published version.
  • この論文は出版社版でありません。引用の際には出版社版をご確認ご利用ください。
DOI
  • 10.1016/j.jclepro.2014.02.006
公開者
Elsevier Ltd.

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説明

Coffee is an important global beverage, and has received significant attention especially in terms of the social and environmental sustainability of its production. This paper calculates the product carbon footprint (PCF) and conducts an analysis of energy usage for six alternative coffee products. The analysis shows that espresso coffee had the lowest impact (0.13 kWh and 49 g CO2 per serve), while canned coffee provided the highest impact (0.76 kWh and 223 g CO2 per serve). The latte had the second highest embodied energy impact, with 0.54 kWh and the highest PCF of 224 g CO2 per serve. On a per millilitre basis however, espresso coffee provided the highest impact (0.0048 kWh/mL and 0.8 g CO2-eq/mL), followed by canned coffee and the latte. This indicates that care must be used in the selection of an appropriate functional unit, as the ranking of PCF can be overturned according to the basis of comparison. The highest contributing factors were the emissions from milk, packaging (for the can) and the production stages of the green coffee beans. Despite only holding around 17% of the market share of consumed coffee, the canned coffee product contributes around half of the national carbon footprint from coffee consumption. Current commercial incentives for consumers to use their own cups were compared to carbon taxation and found to value carbon approximately three orders of magnitude higher than carbon market rates.

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詳細情報 詳細情報について

  • CRID
    1050282810770947456
  • NII論文ID
    120005455994
  • DOI
    10.1016/j.jclepro.2014.02.006
  • ISSN
    18791786
    09596526
  • HANDLE
    2433/188888
  • 本文言語コード
    en
  • 資料種別
    journal article
  • データソース種別
    • IRDB
    • CiNii Articles
    • OpenAIRE

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