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Supplementary Information for "Water footprint and scarcity risks of low-carbon fuels"

低炭素燃料の水フットプリントと水不足リスクに関する補足情報 (AI 翻訳)

Lorenzo Rosa, Andrea Citrini, Tom Terlouw

Zenodo (CERN European Organization for Nuclear Research)データセット2026-04-21#水素Origin: US
DOI: 10.5281/zenodo.19672641
原典: https://doi.org/10.5281/zenodo.19672641

🤖 gxceed AI 要約

日本語

低炭素燃料(水素、アンモニア、メタノール)の生産における直接・間接水消費量を評価し、北米の施設データベースを用いて水不足リスクを定量化。将来シナリオ(SSP1-2.6/SSP5-8.5)での影響を分析し、脱炭素化に伴う水資源制約を明らかにする。

English

This study quantifies direct and indirect water consumption for low-carbon hydrogen, ammonia, and methanol production pathways. Using a database of North American facilities, it assesses water scarcity risks under baseline and future climate scenarios (SSP1-2.6 and SSP5-8.5), highlighting water constraints for the energy transition.

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

水素や合成燃料の普及には水資源の持続可能性が不可欠。本論文は低炭素燃料の水フットプリントを定量化し、日本のGX政策(水素基本戦略など)における水資源リスクの考慮を促す示唆を与える。

In the global GX context

As low-carbon fuels scale up, water availability becomes a critical sustainability constraint. This paper provides plant-level water footprint data and scarcity risk assessments, informing global hydrogen and fuel strategies under the energy transition.

👥 読者別の含意

🔬研究者:Provides empirical water consumption data for low-carbon fuel pathways, useful for lifecycle assessment and resource planning.

🏢実務担当者:Corporate teams in hydrogen/fuel production can assess water risks in their supply chain.

🏛政策担当者:Regulators should consider water scarcity alongside carbon reduction targets when promoting fuel transitions.

📄 Abstract(原文)

The folder contains the output data relative to the paper: Water footprint and scarcity risks of low-carbon fuels Authors: Lorenzo Rosa, Andrea Citrini, Tom Terlouw * Corresponding Author Email address: [email protected] CONTENTS: Figure_2: Direct and indirect water consumption of selected low-carbon hydrogen production pathways (m³/t H₂) Figure_3: Direct and indirect water consumption of selected conventional and potentially low-carbon ammonia production pathways (m³/t NH₃) Figure_4: Direct and indirect water consumption of selected conventional and potentially low-carbon methanol production pathways (m³/t MeOH) Figure_5: Database of the facilities considered in this study, including production, total hydrogen demand, water consumption (m³/yr), and number of months under water scarcity for the baseline year (2020) and for 2050 under both SSP1-2.6 and SSP5-8.5 scenarios. For future scenarios, ensemble median values as well as the 25th and 75th percentiles are provided. Figure_6a: Water-scarcity-affected production for North American ammonia facilities. For each state, the 2020 baseline and the 2050 projections under SSP1-2.6 and SSP5-8.5 are provided as ensemble median values (Mt/yr), together with the 25th and 75th percentiles for the future scenarios. Figure_6b: Water-scarcity-affected production for North American refinery facilities. For each state, the 2020 baseline and the 2050 projections under SSP1-2.6 and SSP5-8.5 are provided as ensemble median values (barrels/yr), together with the 25th and 75th percentiles for the future scenarios. Figure_6c: Water-scarcity-affected production for North American methanol facilities. For each state, the 2020 baseline and the 2050 projections under SSP1-2.6 and SSP5-8.5 are provided as ensemble median values (Mt/yr), together with the 25th and 75th percentiles for the future scenarios. Figure_7: Correspondence between the facility database and active grid cells. For each active cell, the baseline water consumption composition across North America is provided for seven sectors—irrigation, municipal, mining, manufacturing, livestock, facilities, and electric generation (m³/yr).

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