Greenhouse gas impact related to minerals mining and processing
鉱物の採掘と加工に関連する温室効果ガス影響 (AI 翻訳)
Atieh Fahimi Bandpey, Saeed Rahimpour Golroudbary, Andrzej Krasławski
🤖 gxceed AI 要約
日本語
エネルギー移行に必要な鉱物の採掘・加工に伴うGHG排出を、NZE・AP・STEPシナリオに基づく動的シミュレーションで定量化。EV、太陽電池、送電、ヒートポンプ、風力の順に排出が高く、Al、Cu、Si、Niが主要な排出源。2022～2050年の累積排出は5.3～10.8Gt CO2-eqと推定され、サプライチェーンの排出ホットスポットを特定し、脱炭素戦略への示唆を提供。
English
This study quantifies GHG emissions from mining and processing minerals for energy transition technologies using dynamic simulation under NZE, AP, and STEP scenarios. EVs, solar cells, transmission, heat pumps, and wind turbines have the highest emissions, with Al, Cu, Si, and Ni as major contributors. Cumulative emissions from 2022-2050 are estimated at 5.3-10.8 Gt CO2-eq, identifying supply chain hotspots and informing decarbonization strategies.
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
日本の製造業はサプライチェーン排出削減（Scope 3）への対応が急務であり、本論文は鉱物調達に伴う排出ホットスポットを特定し、SSBJ開示や調達戦略に示唆を与える。特にEV・蓄電池関連産業にとって重要。
In the global GX context
This paper provides a comprehensive assessment of embodied emissions in mineral supply chains for energy transition technologies, relevant to global Scope 3 disclosure and transition finance. It highlights the need for accurate accounting of upstream emissions, supporting ISSB-aligned reporting and supply chain decarbonization strategies.
👥 読者別の含意
🔬研究者:Provides a comprehensive model linking technology scenarios to mineral demand and associated GHG emissions, useful for supply chain and decarbonization research.
🏢実務担当者:Identifies GHG hotspots in mineral supply chains, helping companies prioritize decarbonization efforts and improve sourcing decisions.
🏛政策担当者:Highlights the risk of underestimating supply chain emissions due to rapid technological change, informing policy on sustainable mineral sourcing and manufacturing.
📄 Abstract（原文）
The energy sector is undergoing a significant transformation implementing new technologies to ensure sustainable production and supply of energy. In this shift, developing a sustainable supply chain of materials needed by green technologies by enhancing energy security and decreasing environmental impact is essential. One of the barriers to sustainable development is greenhouse gas (GHG) emissions associated with elements needed by technologies used for energy transition. This paper examines GHG emissions of different technologies regarding the mining and processing of bulk and critical elements required for them. The significant contribution of mining and processing to total GHG emissions makes them especially noteworthy. To achieve this goal, the technological data from three main global scenarios were used, including net zero emission (NZE), announced pledge (AP), and stated policy (STEP) scenarios. A dynamic simulation model according to mass flow analysis principles was developed to predict material demand and their associated GHG emissions. Results show that the highest GHG emissions were associated with electric vehicles (EV) followed by solar cells, transmission, heat pumps (HPs), and wind turbines. Also, Al, Cu, Si, and Ni have the biggest share of carbon dioxide equivalent (CO 2-eq ) emissions in different scenarios. It is found that GHG emissions associated with the extraction and processing of elements used by various technologies can be substantial (e.g., 5.3–10.8 gigatons (Gt) of CO 2-eq between 2022 and 2050). The novelty of this work consists in its comprehensive approach to the element demand for technologies in the energy generation, distribution, storage, and consumption sectors in several recent scenarios. The findings of this paper provide insights for manufacturing sectors, which are under continual global pressure to lower their carbon emissions, by identifying hotspots of GHG emissions within element supply chains. The research guides policymakers in analyzing the role of global manufacturing supply chains and preventing significant underestimations due to fast technological change forced by the renewable energy transition. The results aim to make better decisions about element sourcing, improving the effectiveness of the existing manufacturing systems, and implementing more efficient decarbonization strategies that can help reduce environmental impact and create a more sustainable landscape.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1016/j.procir.2024.10.198first seen 2026-08-02 17:57:57
🔔 こうした論文の新着を逃したくない方は キーワードアラート に登録（無料・3キーワードまで）。
gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。