Coordinated generation, transmission, storage, and demand planning accelerates cost-effective decarbonization in China
発電・送電・貯蔵・需要の協調計画が中国の費用対効果の高い脱炭素化を加速する (AI 翻訳)
Shiwei Yu, Shuangshuang Zhou, Ya-Fang Sun, Bin Su, Yi-Ming Wei
🤖 gxceed AI 要約
日本語
中国の電力システムを対象に、発電・送電・貯蔵・需要の最適化モデルを開発。統合計画により、2053年までのカーボンニュートラル達成が可能で、システムコストを18.1%削減できることを示した。再生可能エネルギーの導入拡大とコスト効率の両立を実現する再現可能なフレームワークを提供。
English
This study develops a spatiotemporal multi-objective model for China's power system, optimizing generation, transmission, storage, and demand planning. Results show that coordinated planning enables carbon neutrality by 2053, 7 years earlier than business-as-usual, with an 18.1% cost reduction. It provides a replicable framework for cost-effective decarbonization.
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
日本でも再生可能エネルギーの大量導入に伴う系統安定化やコスト最適化が課題となっている。本モデルは、発電・送電・蓄電・需要の統合計画の有効性を定量的に示しており、日本の電力システム改革や長期エネルギー政策への示唆を与える。
In the global GX context
This paper presents a comprehensive planning framework that balances renewable penetration and cost efficiency, relevant to global power system decarbonization. It demonstrates that integrated GTSD planning can significantly reduce transition costs and accelerate carbon neutrality, offering a replicable methodology for other countries.
👥 読者別の含意
🔬研究者:Provides a replicable optimization framework for integrated power system planning that researchers can adapt to other regions.
🏢実務担当者:Offers insights for utilities and grid operators on coordinated investment strategies to reduce costs and accelerate renewable integration.
🏛政策担当者:Demonstrates that coordinated planning can achieve carbon neutrality earlier and at lower cost, informing national energy policy design.
📄 Abstract（原文）
Increasing shares of renewable energy (RE) are reshaping power systems and creating unprecedented challenges in the spatiotemporal synergy of power generation, transmission, storage, and demand (GTSD). Existing fragmented planning strategies inadequately address resource mismatch and the trade-off between RE penetration and cost efficiency. Here, to accelerate the low-carbon transition, we develop a spatiotemporal multi-objective model for China's power system that optimizes GTSD by minimizing transition costs and maximizing RE penetration. Our results indicate that carbon neutrality can be reached by 2053, 7 years earlier than under the business-as-usual scenario, with an 18.1% reduction in system costs. The synergistically optimized layout increases generation and storage capacities by 24.8% and 95.4%, respectively, and reduces interregional transmission requirements by 15.5%. As a result, the RE share in installed capacity and power generation rises by 8.1% and 16.7%, respectively. This study provides a replicable synergy framework to guide cost-effective decarbonization of power systems.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1016/j.crsus.2026.100774first seen 2026-07-22 05:22:32
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