Characterizing New York State renewable energy curtailment to support decarbonization technology growth
ニューヨーク州の再生可能エネルギー出力抑制の特性評価：脱炭素技術の成長を支援するために (AI 翻訳)
Anna-Katharina von Krauland, Jiarong Xie, Dimitris Anastasiou, D. Goldberg, V. Modi
🤖 gxceed AI 要約
日本語
本研究は、ニューヨーク州の再生可能エネルギー出力抑制を定量化し、グリーン水素電解や炭素回収システムへの活用可能性を評価。高解像度風力データと容量拡大モデルを用いて、2050年までの超過エネルギー量とその時間変動を推定し、脱炭素技術の成長を支援する知見を提供する。
English
This study quantifies renewable energy curtailment in New York State and assesses its potential use for green hydrogen electrolysis and carbon capture. Using high-resolution wind data and a capacity expansion model, it estimates surplus energy quantities and temporal variations through 2050, providing insights to support decarbonization technology growth.
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
日本でも再エネ大量導入に伴う出力抑制が課題となる中、本手法はグリーン水素製造やCCUSとの連携による有効活用策を示唆。日本の地域別グリッド計画や水素基本戦略に応用可能な知見を含む。
In the global GX context
As renewable penetration increases globally, curtailment is often seen as a waste. This paper reframes it as an opportunity, linking to hydrogen and CCUS deployment. The modeling approach can inform grid planning in other regions pursuing ambitious clean energy targets.
👥 読者別の含意
🔬研究者:A framework for quantifying curtailment and linking to emerging decarbonization technologies, with high-resolution temporal analysis.
🏢実務担当者:Insights on how to strategically use excess renewable energy for hydrogen or carbon capture, informing infrastructure investment.
🏛政策担当者:Evidence on the scale and timing of curtailment to support policy design around renewable integration and clean energy targets.
📄 Abstract（原文）
The speed and scale required to transition to a clean energy grid requires an integrated approach to address challenges in variability of energy resources and grid load. This research offers novel insights into how New York State (NYS) can strategically use excess renewable energy, reframing curtailment as an opportunity to advance decarbonization goals. The focus on NYS is motivated by a combination of its substantial energy demand stemming from large population centers, sizable offshore wind energy pipeline, enormous renewable energy potential, and ambitious clean energy targets. To quantify the extent to which future renewable energy supply may exceed demand, grid load data is combined with high spatial and temporal resolution wind energy datasets that include wind speeds at hub heights relevant to modern wind turbines. A capacity expansion model estimates the levelized cost of energy and battery capacity buildout needed to meet electrification, renewable generation, and emissions reduction targets set by the NYS Climate Act through 2050. It also reports the resulting quantity and temporal variation of curtailed energy for each 5 year milestone. The study further assesses the implications of using this excess energy to fulfill requirements for emerging technologies such as green hydrogen electrolysis and carbon capture systems using a set of curtailment utilization and supply curves. These results can inform grid planning and infrastructure investment decisions aimed at reducing emissions in hard-to-abate sectors. Ultimately, this study seeks to enhance grid planning to deliver reliable, low-cost clean energy and support a fully decarbonized economy.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.1088/2753-3751/ae331ffirst seen 2026-05-15 19:45:58
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