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中国におけるCCUS（炭素回収・利用・貯留）の動的配置

China’s dynamic layouts of carbon capture utilization and storage (原題)

Boyue Zheng, Ziqing Pan, Xiangyun Shi, Jingyuan Cao, Lirong Liu, Kaiqiang Zhang

Applied Energy📚 査読済 / ジャーナル2026-10-13#CCUSOrigin: CN経営インパクト: コスト削減対象セクター: power
DOI: 10.1016/j.apenergy.2026.128896
原典: https://doi.org/10.1016/j.apenergy.2026.128896

🤖 gxceed AI 要約

日本語

中国の2060年カーボンニュートラルに向け、31省・16堆積盆を対象にCCUSの動的ソース・シンクマッチング最適化モデルを構築。8シナリオで石炭火力・ガス・鉄鋼・セメント・化学からのCO₂回収とEOR/EGR/EWR/ECBM貯留を評価。CE1-CS1では2060年までに累積111億トン、オルドス盆地が42.4億トンを貯留。石炭火力が回収の主対象で、近接性が輸送コストに決定的。

English

A national-scale dynamic source-sink matching model optimizes CCUS deployment across 31 Chinese provinces and 16 sedimentary basins under eight scenarios. Coal-fired power dominates capture; EWR/EGR or EGR/ECBM dominate storage depending on pathway. Cumulative capture reaches 11.1–32.6 Gt by 2060, with the Ordos Basin as the key sink and proximity to emitters critical for cost-effective transport.

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

中国の国家規模CCUS最適化は、日本がGX推進で検討するCCS/CCUS拠点整備やアジアの炭素管理連携を考える上で参照価値が高い。特にソース・シンク近接性と輸送コストの分析は、日本国内の貯留適地・産業集積地マッチング政策に示唆を与える。

In the global GX context

This offers a data-driven national CCUS deployment framework relevant to global carbon management and Article 6/transition finance discussions. It complements TCFD/ISSB disclosure by quantifying the physical abatement pathway that underpins corporate net-zero claims in hard-to-abate sectors.

👥 読者別の含意

🔬研究者:国家規模の動的ソース・シンク最適化手法とシナリオ設計は、他国のCCUSモデリング研究に応用可能。

🏢実務担当者:石炭火力・鉄鋼・セメント企業にとって、CCUS拠点配置と輸送コスト、EOR/EGR収益機会の評価に有用。

🏛政策担当者:CCUSインフラの地域配置、省間連携、貯留適地選定の政策設計に直接的な示唆を提供。

📄 Abstract（原文）

Carbon capture utilization and storage (CCUS) is pivotal to China's carbon neutrality goal by 2060. A national-scale dynamic source-sink matching optimization model is developed to explore CCUS deployment across 31 provinces and 16 sedimentary basins under eight integrated scenarios, which combine two emission pathways (Announced Pledges Scenario, APS; Stated Policies Scenario, STEPS) with four storage growth pathways (CS1–CS4). The model quantifies CO₂ capture from coal-fired power, gas-fired power, steel, cement, and chemical plants, and evaluates storage via enhanced oil recovery (EOR), enhanced gas recovery (EGR), enhanced water recovery (EWR), and enhanced coal bed methane (ECBM). Under the CE1-CS1 pathway cumulative CO₂ capture and storage reaches 11.1 billion tons by 2060 with the Ordos Basin storing 4.24 billion tons. Coal-fired power plants dominate capture contributions, while EWR and EGR emerge as predominant utilization modes. In STEPS, the CE2-CS1 pathway featuring slower emission decline but sustained storage growth yields a cumulative capture of 32.59 billion tons. Hebei, Shanxi, and Shandong collectively account for 26.5% of national capture, with the Ordos Basin storing 8.29 billion tons. Here, EGR and ECBM become the dominant storage strategies, reflecting higher residual emission and extended capture timelines. Economic analysis shows that the CE1-CS1 pathway generates benefits totaling 4849.5 billion yuan. Proximity between major emitters (e.g., Shanxi) and large storage basins (e.g., Ordos) is critical for cost-effective transport. The study highlights that coal-fired power remains the primary CCUS target, while EOR/EGR offer high-value utilization opportunities. These findings provide a data-driven framework for scaling CCUS in China and insights for global carbon management.

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