Integrated assessment of appliance life-cycle GHG emissions: a modeling framework applied to washing machines in Europe
家電製品のライフサイクルGHG排出量の統合評価：欧州の洗濯機に適用するモデリングフレームワーク (AI 翻訳)
Zhong, Xiaoyang, Gómez-Sanabria, Adriana, Mastrucci, Alessio, Krey, Volker, van Ruijven, Bas
🤖 gxceed AI 要約
日本語
本論文は、家電製品のライフサイクル全体のGHG排出量を評価するための統合モデリングフレームワークGLANCE-GAINSを開発。欧州の洗濯機を例に、2050年までの製品ストック、エネルギー使用、材料フロー、排出量を将来シナリオで予測。循環型戦略により排出量を約30%削減可能で、効率改善や電力脱炭素化と組み合わせれば90%削減が可能。再生可能エネルギー豊富な地域では、製品製造時の排出が主要な残留排出となる。
English
This paper develops GLANCE-GAINS, an integrated modeling framework for assessing life-cycle GHG emissions of appliances. Applied to washing machines in Europe through 2050, it shows that circularity strategies can reduce life-cycle emissions by ~30%, and combining circularity, efficiency, and power decarbonization can achieve ~90% reduction. Embodied emissions become the dominant residual in renewable-rich regions.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
欧州の事例だが、日本でも家電製品のライフサイクル評価と循環型戦略の重要性が高まっている。特にSSBJ対応では製品段階のScope3排出量算定が課題であり、本フレームワークは参考になる。
In the global GX context
This framework provides a flexible tool for assessing life-cycle emissions of appliances, relevant for companies reporting Scope 3 emissions and for policymakers designing circular economy and efficiency standards.
👥 読者別の含意
🔬研究者:The GLANCE-GAINS framework offers a novel integrated approach for life-cycle assessment of appliances, useful for researchers in material flow analysis and climate mitigation.
🏢実務担当者:Companies in appliance manufacturing can use the findings to prioritize circularity strategies and efficiency improvements to reduce product carbon footprint.
🏛政策担当者:Policymakers can leverage the scenario analysis to design policies that promote circularity and efficiency, especially in regions with high renewable penetration.
📄 Abstract（原文）
Electrical appliances are essential to modern life, and their use is increasing with electrification and digitalization, driving substantial energy and material demand, emissions, and waste. Current assessments often lack life-cycle coverage and sufficient granularity to fully capture environmental impacts and evaluate mitigation options. Here we develop GLANCE–GAINS, a bottom-up integrated modeling framework combining a dynamic material flow analysis model with a waste and pollution model and prospective life-cycle inventory data, linked with the MESSAGEix-GLOBIOM integrated assessment model. Our objective is to provide a flexible framework for assessing appliance life cycles and environmental footprints across regions, device types, and future socioeconomic and climate pathways, and for evaluating mitigation strategies related to efficiency, circularity, and power-sector decarbonization. As a case study, we apply GLANCE–GAINS to washing machines in Europe through 2050 to assess future stocks, energy use, material flows, and life-cycle GHG emissions under alternative mitigation scenarios. A middle-of-the-road socioeconomic trajectory shows continued growth in stock, energy demand, material use, and emissions to 2050. Circularity strategies can cut embodied emissions by ~70% and total life-cycle emissions by ~30%, with demand-side measures, such as shared use, delivering the strongest individual impact. Combining circularity, efficiency, and a 1.5°C-aligned power transition reduces emissions by ~90%, leaving embodied emissions as the primary residual. In renewable-rich regions such as Northern Europe, embodied emissions already dominate, making circularity central to deep mitigation.
🔗 Provenance — このレコードを発見したソース
- Zenodo https://zenodo.org/records/21542463first seen 2026-07-26 04:16:25
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