Dataset and code for "Concentrated carbon debt erodes hydropower's low-carbon credentials under grid decarbonization"
「集中した炭素負債がグリッド脱炭素化下での水力発電の低炭素性を損なう」のデータセットとコード (AI 翻訳)
Naifu Deng, Qinglong Zhang, K E Yang
🤖 gxceed AI 要約
日本語
本論文は、水力発電ダムの集中した炭素負債が、電力系統の脱炭素化が進むにつれて水力発電の気候便益を減少させることを示すデータセットとコードを提供する。貯水池からのメタン排出などの炭素負債が、水力発電の低炭素性評価に重要であることを明らかにしている。
English
This paper provides a dataset and code demonstrating that concentrated carbon debt from hydropower reservoirs reduces the climate benefits of hydropower as grid decarbonization advances. It highlights that carbon debt, including methane emissions from reservoirs, is crucial for evaluating hydropower's low-carbon credentials.
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
日本では水力発電が再生可能エネルギーの主力だが、本論文は貯水池由来の炭素負債が電力系統の脱炭素化に伴い水力の低炭素性を弱める可能性を指摘。今後の電源構成検討やダム管理政策に示唆を与える。
In the global GX context
This work challenges the assumption that hydropower is inherently low-carbon, showing that carbon debt from reservoirs can significantly erode its climate benefit as grids decarbonize. It is relevant for global hydropower operators and energy planners reassessing renewable energy portfolios.
👥 読者別の含意
🔬研究者:Energy system modelers and carbon accounting researchers should consider these findings when assessing lifecycle emissions of hydropower.
🏢実務担当者:Hydropower plant operators can use this data to better measure and manage carbon debt, improving transparency in reporting.
🏛政策担当者:Policymakers should incorporate carbon debt into renewable energy planning and subsidy designs for hydropower.
📄 Abstract（原文）
This repository contains the current Science-format figure pipeline, derived station-level inputs, shared calculation modules, concise panel-level audit data, and rendered manuscript figures for: Concentrated carbon debt and grid decarbonization erode the climate benefit of global hydropower The active submission set consists of four main figures and eighteen supplementary figures. The archive is designed to re-render the figures from the included harmonized and derived data products. Large third-party raw datasets are not bundled; see [External data not included](#external-data-not-included) for upstream rebuild requirements.The record is currently under embargo and will be made publicly available upon publication; during peer review it is available to the editors and referees on request.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.5281/zenodo.21411817first seen 2026-07-19 04:58:59 · last seen 2026-07-19 04:59:01
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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。