Wattnet：電力消費を低炭素・低水フットプリントのエネルギー供給とマッチングする
Wattnet: Matching electricity consumption with low-carbon, low-water footprint energy supply (原題)
María Castrillo Melguizo, Jaime Iglesias Blanco, Judith Sáinz-Pardo Díaz, Álvaro López García
🤖 gxceed AI 要約
日本語
Wattnetは欧州の電力消費について、炭素フットプリントと水フットプリントを15分解像度で同時評価するオープンソースツールである。国境を越える電力輸出入を考慮した電力フロー追跡手法を実装し、2024年の複数地域で生成ベースと消費ベースの影響を比較した。電力取引や水力依存の高い国では、時間変動や電力フローを無視すると炭素・水の両フットプリントを大きく誤推計することを示す。さらに脱炭素と水使用のトレードオフ、特に貯水池型水力の水フットプリント増大効果を明らかにする。
English
Wattnet is an open-source tool that jointly assesses the carbon and water footprints of electricity consumption across Europe at 15-minute resolution, tracing cross-border flows. Comparing generation-based and consumption-based footprints for 2024, it shows that ignoring electricity trade and temporal variability causes large misestimations, especially in trade-heavy or hydropower-dependent countries. The joint analysis reveals trade-offs between decarbonisation and water use, notably the water footprint of reservoir hydropower.
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
日本では再エネ拡大とデータセンター立地が同時進行し、電力の炭素と水の両面評価はSSBJ・有報のサステナビリティ開示や企業の調達判断に直結する。時間解像度の高いフットプリント算定は、Scope 2のマーケット基準を超えた実態把握の参考になる。
In the global GX context
As data centers and corporate electricity procurement face growing scrutiny under CSRD, ISSB and TCFD, joint carbon-water accounting at high temporal resolution offers a more accurate basis for Scope 2 and location-based reporting. It also informs the emerging debate on water as a material climate-related risk in disclosure frameworks.
👥 読者別の含意
🔬研究者:電力フロー追跡と炭素・水フットプリントの統合評価手法を、時間解像度と地域間取引の観点から検証できる。
🏢実務担当者:データセンターや電力多消費企業が、調達電力の炭素と水のトレードオフを把握し、調達・立地判断に活用できる。
🏛政策担当者:電力システムの脱炭素政策が水資源影響を伴う可能性を認識し、政策評価に水フットプリントを組み込む根拠となる。
📄 Abstract（原文）
The environmental impact of electricity consumption is commonly assessed through its carbon footprint (CF), while water-related impacts are often overlooked despite the strong interdependence between energy and water systems. This is particularly relevant for electricity-intensive activities such as data center (DC) operations, where both carbon emissions and water use occur largely off-site through electricity consumption. In this work, we present Wattnet, an open-source tool that jointly assesses the CF and water footprint (WF) of electricity consumption across Europe with high temporal resolution. Wattnet implements an electricity flow-tracing methodology that accounts for local generation mixes, as well as for cross-border electricity imports and exports at a 15 min resolution. Operational and life-cycle impact factors are used to quantify and compare local (generation-based) and global (consumption-based) footprints for multiple European regions during 2024. Wattnet includes a 72 h forecasting module to facilitate informed energy-aware decision-making. The results demonstrate that neglecting electricity flows and temporal variability can lead to significant misestimations of both CF and WF, particularly in countries with high levels of electricity trade or hydropower dependence. Furthermore, the joint analysis reveals trade-offs between decarbonisation and water use, highlighting the prominent role of reservoir-based hydropower in increasing WF even in low-carbon systems. Wattnet facilitates informed energy-aware decision-making, while also enhancing transparency regarding the environmental impacts of electricity consumption for end users and policymakers. • Wattnet captures spatial and temporal variability of electricity mixes. • Ignoring electricity exchanges misestimates carbon and water footprints. • Impact assessment reveals trade-offs between carbon emissions and water use. • Wattnet enables informed, energy-aware system optimization decisions. • Effectiveness is limited in systems dominated by reservoir hydropower.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1016/j.suscom.2026.101473first seen 2026-09-18 04:41:59
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