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持続可能な電力システムのための統合的炭素回収・有効利用技術：進展、課題、デジタル化、将来展望

Integrated carbon capture and utilization technologies for sustainable power systems: advances, challenges, digitalization, and future perspectives (原題)

Ravikumar Jayabal, Ruby Mishra, Savitha Radha Krishna Setty, Anshuman Jena, Imran Molvi, Muralidhar Bengaluru, Sarita Agrawal, Aseel Smerat, Kamakshi Priya K

International Journal of Chemical Reactor Engineering📚 査読済 / ジャーナル2026-08-26#CCUSOrigin: Global経営インパクト: コスト削減対象セクター: power
DOI: 10.1515/ijcre-2026-0103
原典: https://doi.org/10.1515/ijcre-2026-0103

🤖 gxceed AI 要約

日本語

本レビューは、電力部門におけるCO2回収・有効利用（CCU）技術を包括的に評価する。前燃焼、後燃焼、酸素燃焼、化学ループ燃焼、直接空気回収などの主要な回収経路を、効率、エネルギー需要、経済性、展開可能性の観点から比較する。さらに、ナノ構造吸着材や膜、イオン液体、MOFなどの材料進歩により90%超のCO2除去効率が達成されていることを示す。また、AIやML、IoT、デジタルツインなどのデジタル技術を統合したプロセス最適化と排出管理の可能性を探る。

English

This review comprehensively assesses integrated Carbon Capture and Utilization (CCU) technologies for the power sector, comparing capture routes (pre/post-combustion, oxy-fuel, chemical looping, DAC) on efficiency, energy demand, and economics. It highlights advances in nanostructured sorbents, membranes, ionic liquids, and MOFs achieving >90% CO2 removal, and explores conversion pathways to fuels and chemicals. The integration of digital technologies (AI, ML, IoT, digital twins) for process optimization and predictive emissions management is also analyzed, providing a roadmap for next-generation CCU systems.

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、2030年までの排出削減目標達成や2050年カーボンニュートラル実現に向けて、CCU技術の導入が期待されている。本レビューは、日本の電力部門におけるCCU導入の技術的選択肢と課題を整理しており、今後の政策立案や研究開発戦略に示唆を与える。特に、デジタル技術を活用した最適化は、日本のスマートグリッドや水素社会構想との親和性が高い。

In the global GX context

Globally, CCU is recognized as a key mitigation option in IPCC pathways and net-zero strategies. This review provides a comprehensive framework for integrating CCU with renewables, green hydrogen, and smart grids, aligning with ISSB and TCFD disclosure expectations for transition planning. The emphasis on AI/ML for process optimization and emissions management offers practical insights for companies seeking to enhance their climate transition strategies and meet CSRD requirements.

👥 読者別の含意

🔬研究者:Provides a structured overview of CCU technologies and identifies research gaps, particularly in digitalization and system integration.

🏢実務担当者:Offers a strategic roadmap for evaluating and deploying CCU technologies in power generation, useful for corporate sustainability planning.

🏛政策担当者:Highlights the potential of CCU in achieving net-zero targets and the need for supportive policies and infrastructure.

📄 Abstract（原文）

Abstract The accelerating rise of anthropogenic CO 2 emissions from fossil fuel–based power generation remains a critical challenge to achieving global climate and net-zero targets. Carbon Capture and Utilization (CCU) has emerged as a transformative pathway for simultaneously mitigating emissions, valorizing carbon resources, and enabling sustainable energy transitions. This review provides a comprehensive assessment of integrated CCU technologies across the entire carbon management value chain, encompassing CO 2 capture, transportation, storage, utilization, and system integration. Major capture routes, including pre-combustion, post-combustion, oxy-fuel combustion, chemical looping combustion, and direct air capture, are critically evaluated in terms of capture efficiency, energy demand, economic viability, and deployment potential. Recent advances in nanostructured sorbents, advanced membranes, ionic liquids, and metal–organic frameworks have enabled CO 2 removal efficiencies exceeding 90 % while improving process performance and selectivity. The review further examines thermochemical, electrochemical, photocatalytic, biological, and mineralization pathways for converting captured CO 2 into synthetic fuels, value-added chemicals, and carbon-negative materials. Particular emphasis is placed on the integration of CCU with renewable energy systems, green hydrogen production, biomass valorization, and smart-grid infrastructures to establish circular and low-carbon energy networks. Emerging digital technologies, including artificial intelligence, machine learning, Internet of Things platforms, and digital twins, are also analyzed for intelligent process optimization and predictive emissions management. The review identifies key technological barriers, research priorities, and future opportunities, providing a strategic roadmap for the deployment of next-generation CCU systems toward sustainable and carbon-neutral power sectors.

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