Correlated uncertainty propagation enables multi-impact decision support for electrical system decarbonization
相関する不確実性の伝播による電気システム脱炭素化のための多面的影響の意思決定支援 (AI 翻訳)
Amir M. Gazar, Chloe Jackson, Georgia Mavrommati, Rich B. Howarth, Ryan Calder
🤖 gxceed AI 要約
日本語
本論文は、電気システムの脱炭素化計画において、経路間の不確実性の相関を考慮した新しいモデルPHASEDを提案する。ニューイングランドの8つの経路に適用し、コスト差に対する信頼性を大幅に向上させるとともに、土地利用、鳥類死亡、大気質などの多面的な影響を評価。農村部が都市部よりも大気質改善の恩恵を受けることを示した。
English
This paper introduces PHASED, a model that propagates correlated uncertainties in electrical system decarbonization planning. Applied to eight New England pathways, it achieves over 90% confidence in pairwise cost differences despite overlapping absolute cost intervals. The model reveals trade-offs across economic, ecological, and health dimensions, including that rural areas receive greater relative air quality benefits than urban areas.
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
日本では再生可能エネルギー導入拡大に伴い、系統計画における不確実性評価の重要性が増している。本モデルは、政策変更や国際情勢の変動を踏まえた柔軟な経路比較を可能にし、日本のエネルギー基本計画策定にも示唆を与える。
In the global GX context
This paper addresses a critical gap in capacity expansion modeling by treating pathway uncertainties as correlated, which is essential for robust decision-making under climate policy uncertainty. The multi-impact framework aligns with global trends toward integrated assessment and science-based targets, offering a method that can be adapted for regional decarbonization planning worldwide.
👥 読者別の含意
🔬研究者:Energy system modelers should consider correlated uncertainty propagation to improve confidence in pathway comparisons and capture multi-dimensional trade-offs.
🏢実務担当者:Utility and grid planners can use the method to evaluate trade-offs across cost, land use, and air quality under uncertain policy and technology scenarios.
🏛政策担当者:Policymakers can leverage this approach to understand the robustness of decarbonization pathways and the distributional effects of different energy strategies.
📄 Abstract（原文）
Decarbonization planning requires comparing diverse pathways across economic, ecological, and health dimensions under uncertainty. Capacity expansion models generally treat pathway uncertainties as independent, overestimating uncertainty around inter-scenario differences, which drive decisions. U.S.–Canada trade tensions and abrupt federal termination of offshore wind permits threaten key planks of regional decarbonization plans and illustrate the need for models spanning a wider pathway space. We present PHASED (Probabilistic Hourly Assessment of Scenarios for Electrical Decarbonization), propagating correlated uncertainties across prescribed pathways through hourly dispatch over a 26-year horizon and generating joint posterior distributions across modeled outcomes. Applied to eight New England pathways, correlated uncertainty tracking yields >90% confidence in pairwise cost differences despite overlapping absolute cost intervals. Pathways with similar monetized impacts (roughly $470–477 billion by 2050) diverge on land use, avian mortality, and air quality. Rural areas receive greater relative air quality benefits than urban areas, cutting against assumptions that shape siting politics.
🔗 Provenance — このレコードを発見したソース
- crossref https://doi.org/10.31224/4684first seen 2026-05-21 04:24:56
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