Scenario-based dynamic LCA for electricity consumption in the Netherlands: Investigating the environmental sustainability
オランダの電力消費におけるシナリオベースの動的LCA：環境持続可能性の検討 (AI 翻訳)
Luke Quinn, Dilip Khatiwada
🤖 gxceed AI 要約
日本語
オランダの電力システムを対象に、静的・動的LCAを統合し、2030年の電源構成シナリオと新たな分散型発電ソリューションの導入効果を評価。家庭の電力消費でGWPが1271 kgCO2-eqから622 kgCO2-eqに削減される一方、太陽光拡大による鉱物資源枯渇の増加も示した。時間的変動を考慮する動的LCAの重要性を実証し、移行経路の環境影響をより正確に捉える手法を提供している。
English
This study performs a dynamic LCA of the Dutch electricity system, assessing four scenarios for 2030 with and without a novel decentralized generation solution. For a household consuming 3,500 kWh/year, global warming potential drops from 1,271 to 622 kg CO2-eq, while mineral resource scarcity rises with solar PV deployment. It demonstrates that temporal dynamics in LCA reveal critical transition pathways and support more accurate environmental assessments of electricity systems.
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
日本でも2050年カーボンニュートラルに向け電源構成の変化と分散型電源の導入が進む中、時間分解能を持つLCA手法は日本の電力システム評価にも応用可能。SSBJ開示におけるスコープ2排出量評価の精緻化や、エネルギー計画の環境影響分析に示唆を与える。
In the global GX context
This paper advances dynamic LCA methodology for electricity systems, relevant to global decarbonization planning and disclosure. It highlights temporal and scenario-based approaches that complement static accounting in TCFD/ISSB-aligned climate transition assessments and energy policy evaluation.
👥 読者別の含意
🔬研究者:Provides a methodological framework for integrating temporal dynamics into LCA that can be adapted to other regional electricity systems.
🏢実務担当者:Offers insights for companies assessing the environmental footprint of their electricity consumption and evaluating decentralized generation options.
🏛政策担当者:Informs energy transition planning by quantifying trade-offs between emission reductions and resource scarcity under different electricity mix scenarios.
📄 Abstract（原文）
It is essential to capture the dynamic and temporal variations in energy generation and consumption while assessing the environmental impacts of electricity systems in a lifecycle perspective. This study aims to perform a Life Cycle Assessment (LCA) of the Dutch electricity system, incorporating both static and dynamic temporal aspects with the integration of a novel decentralized generation solution in household electricity consumption. This study evaluates the environmental performance of electricity generation across four scenarios, existing and projected energy mixes for 2030, both with and without the integration of the novel solution. For a typical household consuming 3,500 kWh per year, Global Warming Potential can decrease from 1,271.37 to 953.62 kg CO 2 -eq. The transition to the projected 2030 grid further reduces emissions to 829.66 kg CO 2 -eq, however, the increased deployment of solar PV leads to a rise in mineral resource scarcity from 7.94 to 10.29 kg Cu-eq. Integrating the novel solution into the 2030 Dutch electricity mix offers significant environmental benefits across all environmental impact categories. The climate change impact reduces to 622.34 kg CO 2 -eq when the novel solution is integrated in 2030, while fossil fuel scarcity decreases from 103.62 to 77.71 kg oil-eq. The study findings offer valuable insights into how dynamic LCA can more accurately reflect electricity systems’ real-world environmental impacts in Europe and beyond. The dLCA findings highlight the importance of considering temporal dynamics in LCA studies, as they reveal critical periods and transitional pathways where the "novel solution" can most effectively contribute to environmental sustainability.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1016/j.cesys.2026.100475first seen 2026-08-01 04:52:10 · last seen 2026-08-01 04:52:34
🔔 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。