多部門動的コンテキストにおける貯蔵が米国電力部門に与える潜在的な影響のモデル化
Modeling the potential impact of storage on the US power sector in a multisector dynamic context (原題)
Pralit Patel, Matthew Binsted, Marshall Wise, Roan Chadsey, Gokul Iyer, Son H. Kim, Yang Ou, Kendall Mongird
🤖 gxceed AI 要約
日本語
本論文は、多部門動的モデル（GCAM-USA）に電力貯蔵の投資と運用を組み込み、米国電力システムにおける貯蔵の将来像を分析した。シナリオ分析により、2050年には196〜372GW、2100年には352〜803GWの貯蔵容量が導入され、変動性再生可能エネルギーの増加に伴う残差負荷の変動を平滑化し、ピーク電源への依存を低減し、再生可能エネルギーの出力抑制を制限することを示した。
English
This study integrates grid-based electricity storage investment and operation into the GCAM-USA multisector dynamic model to analyze the future role of storage in the U.S. power system. Scenario results show storage capacity of 196-372 GW in 2050 and 352-803 GW in 2100, which smooths residual load variability, reduces reliance on peaking generators, improves capacity factors, and limits renewable curtailment.
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
日本の電力システムでも再生可能エネルギーの大量導入に伴い、蓄電池の役割が重要視されている。本論文のモデル分析手法は、日本の電力部門の長期計画や系統運用の検討に示唆を与える。
In the global GX context
As global power systems integrate higher shares of variable renewables, storage is increasingly critical. This study provides a modeling framework and quantitative insights relevant to global energy transition planning, complementing TCFD/ISSB-aligned scenario analysis for power sector investments.
👥 読者別の含意
🔬研究者:Provides a modeling approach for incorporating storage into multisector dynamics, useful for energy system modeling research.
🏢実務担当者:Offers insights into storage capacity needs and system benefits, informing investment decisions in storage and renewable integration.
🏛政策担当者:Highlights the role of storage in enabling renewable integration and reducing curtailment, relevant for energy policy and grid planning.
📄 Abstract（原文）
The electric power sector is expected to grow in size, importance, and complexity around the world as economies expand and electric supply technologies and demand patterns evolve in significant ways. Newer, rapidly growing sectors could alter the temporal profile of electricity demand from historical patterns. In addition, substantial increases in variable renewable energy technologies could occur, adding variability and uncertainty to the diurnal and seasonal profile of electric supply. In this context, the emergence of modular, flexible electricity storage technologies may have profound impacts on the structure and operation of electric power systems. Here we address a gap in multi-sector dynamics models by incorporating grid-based electricity storage investment and operation into the electric sector dynamics of the Global Change Analysis Model-USA (GCAM-USA). We find a potentially significant role for storage technologies in the future of the U.S. power system, with storage capacity ranging from 196.1 to 372.4 GW (5.0 to 10.6%) of capacity in 2050 and 352.1 to 802.6 GW (6.0 to 9.0%) in 2100 across several techno-economic scenarios. We also find that storage can help to smooth variability in residual load arising from evolving electricity demands and the introduction of high shares of variable renewable energy to the electric grid. This reduces reliance on high-cost peaking generators, improves utilization of base-load technologies, increases system-wide capacity factors, and limits curtailment of renewable generation.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1016/j.esr.2026.102345first seen 2026-08-28 04:31:49
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