規模拡大の環境・サプライチェーンコスト:K-12の1人1台端末構想における電子廃棄物・エネルギー使用・汚染のシナリオベース推計フレームワーク
Environmental and Supply Chain Costs of Scale: A Scenario-Based Estimation Framework for E-Waste, Energy Use, and Pollution from K-12 One-to-One Computing Initiatives (原題)
S. Warren, Z. Teel, Ting Wang, Ziang Wang
🤖 gxceed AI 要約
日本語
米国の学区が約3.2万台のノートPCを3年周期で導入するケースを想定し、製造・運用・廃棄の各段階での環境負荷を公開データから推計するフレームワークを提示。製造に水約4,870万kg・化石燃料約780万kg、運用で年約71万kWh・CO2約264t、廃棄は3サイクルで約166tに達すると試算。調達前に環境コストを組み込む再現可能な手法を提供する。
English
A scenario-based framework estimates lifecycle environmental impacts of a U.S. school district deploying ~32,492 laptops on a 3-year cycle, using public data. Manufacturing requires ~48.7M kg water and ~7.8M kg fossil fuels; operation uses ~711,575 kWh/year and ~264 tCO2; e-waste reaches ~165.8 t over three cycles. It offers a replicable method for embedding environmental costs into public procurement planning.
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
日本ではGIGAスクール構想による1人1台端末の更新期を迎え、自治体・教育委員会の調達判断に環境負荷を組み込む視点は実務的に有用。SSBJやScope 3開示の文脈でも、公共調達のサプライチェーン排出把握に示唆を与える。
In the global GX context
As public-sector device procurement scales globally, this framework connects procurement decisions to Scope 3 supply-chain accounting and lifecycle emissions, relevant to ISSB/CSRD disclosure expectations for public and private buyers. It adds a replicable, non-proprietary estimation approach for institutional buyers.
👥 読者別の含意
🔬研究者:公共調達のライフサイクル環境影響を、公開データで再現可能に推計する手法として参考になる。
🏢実務担当者:端末更新・調達計画に環境コストと廃棄物推計を組み込む際の実務テンプレートとして活用できる。
🏛政策担当者:GIGA端末更新など公共ICT調達の環境影響評価を政策・予算判断に反映する根拠になり得る。
📄 Abstract(原文)
Background: Large-scale one-to-one computing initiatives in K-12 education generate supply chain and environmental impacts that are rarely quantified before procurement decisions are made. Methods: This study applies a scenario-based environmental estimation approach, informed by supply chain management principles, to model manufacturing inputs, operational energy consumption, carbon dioxide (CO2) emissions, and end-of-life electronic waste for a representative U.S. school district deploying approximately 32,492 laptops across a standard 3-year replacement cycle, using publicly available lifecycle and energy data rather than proprietary manufacturer figures. Results: Manufacturing the device fleet is estimated to require approximately 48.7 million kg of water and 7.8 million kg of fossil fuels. In-service operation generates approximately 711,575 kWh of annual electricity demand and approximately 264 metric tons of CO2 emissions from device charging. One replacement cycle is estimated to generate approximately 55.3 metric tons of mixed-material e-waste, accumulating to approximately 165.8 metric tons across three cycles (9 years). Conclusions: Large-scale device procurement carries predictable environmental costs across the device lifecycle. The study contributes a replicable estimation framework that institutional decision-makers can use to incorporate these costs into procurement planning for similarly scaled K-12 public sector districts; further validation is needed before extending the findings to nonprofit or private-sector contexts.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.3390/logistics10100225first seen 2026-10-01 05:15:14 · last seen 2026-10-02 05:11:57
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