Carbon Capture Science & Technology最新文献_第6页

Carbon dioxide storage in depleted gas reservoirs in northeastern Alberta: Prioritizing CO2 storage sites within a CCS value chain framework 艾伯塔省东北部枯竭气藏的二氧化碳储存：在CCS价值链框架内优先考虑二氧化碳储存地点

Carbon Capture Science & Technology

Pub Date : 2025-10-10 DOI: 10.1016/j.ccst.2025.100529

Zhuoheng Chen , Wanju Yuan , Xiaolong Peng , Di Lu , Hyojong Lee

Thousands of depleted shallow gas reservoirs in northeast Alberta offer a promising CO₂ storage complements to deep saline aquifers, supporting carbon removal in the oilsands region. This study presents a three-step framework to evaluate their suitability: a) initial screening to ensure sufficient capacity and injectivity, and containment, b) multi-criteria ranking to identify the most strategic candidates, and c) source–sink (S–S) optimization to integrate spatial and economic constraints within a carbon capture and storage (CCS) value chain framework, enabling the prioritization of optimal storage sites. From an initial inventory of 4694 depleted pools, 874 reservoirs with a combined capacity of 1518 Mt CO₂ were shortlisted. These were aggregated into fields and further integrated into four distinct trends based on geological and engineering characteristics within a CCS value chain framework. The Lower Cretaceous Kirby–Leming rend emerged as the most favorable, with capacity of 772 Mt CO₂, strong injectivity, and economic viability. The Resdeln–Duncan trend followed closely, having a storage capacity of 366 Mt CO₂, offering similar geological advantages but located farther from proposed pipelines. The Craigend–Lindbergh trend, while less optimal geologically with smaller capacity of 227 Mt CO₂ storage, aligns well with the planned Oil Sands Pathways Alliance CO₂ hub, making it a strategic complementary site. In contrast, the Devonian carbonate reservoirs in the Granor–Ukalta trend ranked lowest due to poor injectivity, long transport distances and lower capacity of 154 Mt. Altogether, the top three trends offer nearly 1400 Mt of storage potential. This study pinpoints high-potential CO₂ storage zones, providing insights for regional carbon management strategies. Integrating shallow gas reservoirs into Alberta’s CCS infrastructure could accelerate near-term carbon removal while reinforcing long-term net-zero objectives.

在阿尔伯塔省东北部，数千个枯竭的浅层气藏为深层咸水含水层提供了一个有前途的CO 2储存补充，支持油砂地区的碳去除。本研究提出了一个三步框架来评估它们的适用性：a)初始筛选，以确保足够的容量和注入性，以及遏制；b)多标准排名，以确定最具战略意义的候选者；c)源汇（S-S）优化，在碳捕集与封存（CCS）价值链框架内整合空间和经济约束，实现最佳封存地点的优先级。从最初的4694个枯竭水池中，874个总容量为1518 Mt CO₂的水库入围。这些数据被汇总到油田中，并在CCS价值链框架内根据地质和工程特征进一步整合为四个不同的趋势。下白垩统Kirby-Leming趋势最为有利，其CO2容量为7.72 Mt，具有较强的注入能力和经济可行性。Resdeln-Duncan趋势紧随其后，拥有3.66亿吨二氧化碳的储存能力，具有类似的地质优势，但距离拟议的管道更远。Craigend-Lindbergh的趋势，虽然地质上不太理想，2.27亿吨二氧化碳存储容量较小，但与计划中的油砂路径联盟二氧化碳中心非常吻合，使其成为战略互补地点。相比之下，Granor-Ukalta趋势的泥盆系碳酸盐岩储层由于注入能力差、输送距离长、容量较低（1.54亿吨）而排名最低。总的来说，前三个趋势提供了近1400亿吨的储存潜力。该研究确定了潜在的CO₂储存区，为区域碳管理战略提供了见解。将浅层气藏整合到阿尔伯塔省的CCS基础设施中，可以加速近期的碳去除，同时加强长期的净零目标。

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引用次数: 0

The role of carbon capture in decarbonising EU industries: A review of projections for 2030 and 2050 碳捕获在欧盟工业脱碳中的作用：对2030年和2050年预测的回顾

Carbon Capture Science & Technology

Pub Date : 2025-10-09 DOI: 10.1016/j.ccst.2025.100528

Guillermo Martinez Castilla , Marc Jaxa-Rozen

Energy-intensive industries are expected to play a significant role in this deployment of carbon capture. However, the distribution of CO₂ capture deployment across industry sectors remains uncertain as it will depend on various factors, and sectoral projections available in the literature have a wide spread and are often not comparable. In response to the identified research gap, this work examines projections for CO₂ capture deployment within the EU industrial sectors, focusing on the cement, iron and steel, and chemical industries, for 2030 and 2050. We harmonize and discuss sectoral projections from seventeen scenarios, and in order to draw cross-sectoral conclusions, we compare them with 820 aggregated, EU-wide industry scenarios. The sectoral projections mapped project carbon capture to significantly reduce emissions in the cement sector by an average of 70 % by 2050. In the near term, projections for 2030 show the highest emission reductions in the chemical sector (10 %), followed by cement (7 %) and iron and steel (5 %). Sectoral projections align well with EU-wide scenarios, particularly with those complying with global 2 °C targets. Notably, many scenarios exceed the Net-Zero Industry Act target for 2030 and project capture levels beyond historical uptake trends of clean energy technologies. The findings highlight that while long-term projections consistently foresee large-scale deployment of CO₂ capture across EU industry, near-term expectations remain modest and risk falling short of the 2030 needs.

预计能源密集型产业将在碳捕获的部署中发挥重要作用。然而，二氧化碳捕集部署在工业部门之间的分布仍然不确定，因为它将取决于各种因素，而且文献中提供的部门预测分布广泛，通常不具有可比性。为了应对已确定的研究差距，本工作研究了欧盟工业部门二氧化碳捕集部署的预测，重点是水泥、钢铁和化学工业，2030年和2050年。我们协调并讨论了来自17种情景的部门预测，为了得出跨部门的结论，我们将它们与820个欧盟范围内的综合行业情景进行了比较。行业预测显示，到2050年，水泥行业的碳捕获项目将平均减少70%的排放量。从近期来看，对2030年的预测显示，化学行业的减排幅度最大（10%），其次是水泥（7%）和钢铁（5%）。部门预测与欧盟范围内的情景非常一致，特别是与符合全球2°C目标的情景一致。值得注意的是，许多情景超过了2030年净零工业法案的目标，项目捕获水平超过了清洁能源技术的历史吸收趋势。研究结果强调，尽管长期预测一直预测欧盟工业将大规模部署二氧化碳捕获，但近期预期仍然温和，有可能达不到2030年的需求。

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引用次数: 0

Research on the multi-timescale optimization scheduling of direct air capture systems driven by renewable energy 可再生能源驱动的空气直接捕集系统多时间尺度优化调度研究

Carbon Capture Science & Technology

Pub Date : 2025-10-08 DOI: 10.1016/j.ccst.2025.100530

Lun Wang , Yuhang Liu , Zhanhai Li , Xilin Gu , Lijun Yu

The growing deployment of renewable energy sources (RES) often leads to large-scale curtailment. Direct air capture (DAC) systems—energy-intensive yet dispatchable and modular—offer a promising solution for consuming curtailment while enabling negative emissions. However, the integration of DAC with RES remains underexplored. Specifically, DAC systems lack sufficient flexibility to accommodate intermittent energy supplies, stemming from inadequate temporal resolution of operational strategies and overly rigid operational assumptions. Moreover, their operation relies on historical data, lacking real-time control and coordinated scheduling with power plants. To bridge this gap, this study proposes a multi-timescale optimization scheduling framework that enables minute-level real-time control of modular DAC systems co-located with RES power plants. The approach uniquely integrates transferable and curtailable flexible operation modes within a two-phase scheduling system—combining day-ahead planning with intraday rolling optimization—while incorporating power forecast data from RES plants to eliminate perfect-foresight assumptions inherent in retrospective optimization, thereby establishing the first implementable real-time controlled co-dispatch architecture for synergistic RES-DAC integration. A case study based on real-world data from an 850 MW wind farm demonstrates that this approach can reduce daily system operation costs by a factor of five, increase the utilization rate of curtailed electricity to over 90%, and capture 1.5 million tons of CO₂ annually. Collectively, these outcomes establish an effective scheduling solution for RES-DAC integration that simultaneously enhances environmental sustainability and economic returns.

不断增长的可再生能源（RES）部署往往导致大规模弃电。直接空气捕获（DAC）系统——能源密集型但可调度和模块化——提供了一种很有前途的解决方案，既能消耗弃风，又能实现负排放。然而，DAC与RES的集成仍未得到充分探索。具体来说，DAC系统缺乏足够的灵活性来适应间歇性的能源供应，这是由于业务战略的时间解决不充分和业务假设过于严格造成的。此外，它们的运行依赖于历史数据，缺乏实时控制和与电厂的协调调度。为了弥补这一差距，本研究提出了一个多时间尺度优化调度框架，该框架可以实现与可再生能源发电厂共存的模块化DAC系统的分钟级实时控制。该方法在两阶段调度系统中独特地集成了可转移和可缩减的灵活运行模式，结合了日前规划和日内滚动优化，同时结合了可再生能源电厂的电力预测数据，以消除回顾性优化中固有的完美预见假设，从而建立了第一个可实现的实时控制协同调度架构，用于协同RES- dac集成。一项基于850兆瓦风电场实际数据的案例研究表明，这种方法可以将系统的日常运营成本降低五倍，将削减电力的利用率提高到90%以上，并每年捕获150万吨二氧化碳。总的来说，这些结果为RES-DAC集成建立了一个有效的调度解决方案，同时提高了环境可持续性和经济回报。

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引用次数: 0

Photothermal and electrothermal-driven thermochemical conversion of biomass: A critical review 光热和电热驱动的生物质热化学转化：综述

Carbon Capture Science & Technology

Pub Date : 2025-10-03 DOI: 10.1016/j.ccst.2025.100527

Wenkai Xu, Qiang Hu, Yichen Dong, Jiawen Zeng, Yingquan Chen, Haiping Yang, Hanping Chen

The integration of multiple renewable energy sources is crucial for achieving high-efficiency utilization of renewable energy, playing a vital role in the low-carbon energy transition. By integrating solar energy-derived photothermal and solar/wind-powered electrothermal processes with biomass conversion, this promising thermochemical approach can produce biochar, bio-oil, or syngas/hydrogen. This technology achieves zero or even negative carbon emissions as well as stores the renewable energies in the form of chemicals, thereby contributing to carbon neutrality. In this review, biomass thermochemical conversion driven by photothermal and electrothermal technologies are comprehensively reviewed. The reaction characteristics and current development status of biomass pyrolysis and gasification driven by photothermal, microwave, plasma, electromagnetic induction, and Joule heating are systematically compared and analyzed. Finally, the challenges and future development directions for photothermal- and electrothermal-driven biomass thermochemical conversion technologies are discussed, focusing on three key aspects: transformation mechanisms, process control and product valorization, and plant-scale implementation. This study provides insights into renewable energy-driven thermochemical biomass conversion, contributing to advances in energy storage and carbon neutrality efforts.

多种可再生能源的整合是实现可再生能源高效利用的关键，在能源低碳转型中发挥着至关重要的作用。通过将太阳能衍生的光热和太阳能/风能的电热过程与生物质转化相结合，这种有前途的热化学方法可以生产生物炭、生物油或合成气/氢气。这项技术实现了零甚至负碳排放，并以化学物质的形式储存可再生能源，从而有助于碳中和。本文对光热和电热技术驱动的生物质热化学转化进行了综述。对光热、微波、等离子体、电磁感应和焦耳加热驱动的生物质热解气化反应特点及发展现状进行了系统比较和分析。最后，讨论了光热和电热驱动生物质热化学转化技术面临的挑战和未来的发展方向，重点讨论了转化机制、过程控制和产品增值以及工厂规模实施三个关键方面。这项研究为可再生能源驱动的热化学生物质转化提供了见解，有助于能源储存和碳中和工作的进展。

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引用次数: 0

Accelerating process design for direct air capture: Bayesian optimization of temperature-vacuum swing adsorption with fiber sorbents 加速直接空气捕获的工艺设计：纤维吸附剂温度-真空摆动吸附的贝叶斯优化

Carbon Capture Science & Technology

Pub Date : 2025-09-30 DOI: 10.1016/j.ccst.2025.100526

Jinhong Jeong , Mujin Cheon , Banseok Oh , Aqil Jamal , Jay H. Lee , Dong-Yeun Koh

Solid sorbent-based direct air capture (DAC) is a key carbon dioxide removal strategy, yet its process optimization remains challenging due to the need to simultaneously address multiple, high-dimensional objectives. These include maximizing CO₂ capture capacity, minimizing operating costs, and reducing overall carbon emissions across the system's life cycle. In this study, we experimentally present a refined approach for optimizing a dual-bed temperature and vacuum swing adsorption (TVSA) cycle using a fiber sorbent based on the metal-organic framework NbOFFIVE-1-Ni, aiming to understand and reconcile the competing performance objectives. To achieve this, a structured exploration of the critical operational variables was conducted, encompassing adsorption flow rate, adsorption time, desorption temperature, and desorption time. Recognizing the complexity and interrelated nature of the performance metrics, we adopted Bayesian Optimization, a powerful data-driven method, to iteratively identify operating conditions that maximize CO₂ capture efficiency while minimizing operational expenditure (OPEX). Extensive cycle-level testing and performance assessment produced a DAC performance profile characterized by distinct Pareto fronts, which delineate the inherent trade-offs between energy consumption and capture efficiency. These insights enabled the determination of optimal operating conditions. Notably, the lab-scale dual bed system achieved a capture capacity of 21.76 mol CO₂ per year (0.52 g-CO₂/g-sorbent per day), supporting its feasibility for large-scale, cost-effective, and environmentally responsible DAC deployment.

基于固体吸附剂的直接空气捕获（DAC）是一种关键的二氧化碳去除策略，但由于需要同时解决多个高维目标，其工艺优化仍然具有挑战性。这些措施包括最大限度地提高二氧化碳捕获能力，最大限度地降低运营成本，并减少整个系统生命周期的总体碳排放。在这项研究中，我们通过实验提出了一种优化双床温度和真空摆动吸附（TVSA）循环的改进方法，该方法使用基于金属-有机骨架NbOFFIVE-1-Ni的纤维吸附剂，旨在理解和协调相互竞争的性能目标。为了实现这一目标，对关键操作变量进行了结构化的探索，包括吸附流量、吸附时间、解吸温度和解吸时间。考虑到性能指标的复杂性和相互关联性，我们采用了贝叶斯优化（Bayesian Optimization），这是一种强大的数据驱动方法，可以迭代地确定操作条件，从而最大限度地提高二氧化碳捕获效率，同时最小化运营支出（OPEX）。广泛的周期级测试和性能评估产生了DAC性能概况，其特征是不同的帕累托前沿，描绘了能源消耗和捕获效率之间的内在权衡。这些见解有助于确定最佳操作条件。值得注意的是，实验室规模的双床系统实现了每年21.76 mol CO2 （0.52 g /g吸附剂每天）的捕集能力，支持其大规模、经济高效且环保的DAC部署的可行性。

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引用次数: 0

From LLMs to sustainable proteins: fine-tuning and prompt engineering for multi-agent AI in waste carbon-utilising microbial protein production 从法学硕士到可持续蛋白质：利用废弃碳的微生物蛋白质生产中的多智能体人工智能的微调和快速工程

Carbon Capture Science & Technology

Pub Date : 2025-09-29 DOI: 10.1016/j.ccst.2025.100525

Alexander D. Kalian , Jaewook Lee , Stefan P. Johannesson , Lennart Otte , Christer Hogstrand , Miao Guo

The global demand for sustainable protein sources has accelerated the need for intelligent tools that can rapidly process and synthesise domain-specific scientific knowledge. In this study, we present a multi-agent Artificial Intelligence (AI) framework designed to support sustainable protein production research, with an initial focus on microbial protein fermentation using side-streams which enables waste carbon capture and utilisation (CCU). Our Retrieval-Augmented Generation (RAG)-oriented system consists of two GPT-based LLM agents: (1) a literature search agent that retrieves relevant scientific literature on microbial protein production for a specified microbial strain, and (2) an information extraction agent that processes the retrieved content to extract relevant biological and chemical information. Two parallel methodologies, fine-tuning and prompt engineering, were explored for agent optimisation. Both methods demonstrated effectiveness at improving the performance of the information extraction agent in terms of transformer-based cosine similarity scores between obtained and ideal outputs. Mean cosine similarity scores were increased by up to 25 %, while universally reaching mean scores of ≥0.89 against ideal output text. Fine-tuning overall improved the mean scores to a greater extent (consistently of ≥0.94) compared to prompt engineering, although lower statistical uncertainties were observed with the latter approach. A user interface was developed and published for enabling the use of the multi-agent AI system, alongside preliminary exploration of additional chemical safety-based search capabilities relevant to CCU-integrated sustainable protein production.

全球对可持续蛋白质来源的需求加速了对能够快速处理和合成特定领域科学知识的智能工具的需求。在本研究中，我们提出了一个多智能体人工智能（AI）框架，旨在支持可持续蛋白质生产研究，最初的重点是利用侧流进行微生物蛋白质发酵，从而实现废物碳捕获和利用（CCU）。我们的面向检索增强生成（RAG）的系统由两个基于gpt的LLM代理组成：(1)一个文献检索代理，用于检索特定微生物菌株的微生物蛋白质生产相关科学文献；(2)一个信息提取代理，用于处理检索到的内容以提取相关的生物和化学信息。两种并行的方法，微调和提示工程，探索了智能体优化。这两种方法都证明了在提高信息提取代理的性能方面的有效性，在基于变压器的余弦相似分数之间获得的和理想的输出。平均余弦相似度分数提高了25%，与理想输出文本相比，平均分数普遍达到≥0.89。与即时工程相比，微调总体上提高了平均得分（始终≥0.94），尽管后者的统计不确定性较低。开发并发布了一个用户界面，以支持使用多智能体人工智能系统，同时初步探索与ccu集成可持续蛋白质生产相关的其他基于化学品安全的搜索功能。

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引用次数: 0

Molecular insights into the role of kerogen in retention of geologically sequestered CO₂ in shale formations during leakage scenarios 在泄漏情况下，干酪根在页岩地层中地质封存的CO 2保留中的作用的分子见解

Carbon Capture Science & Technology

Pub Date : 2025-09-26 DOI: 10.1016/j.ccst.2025.100524

Zikir A. Kemala , Manav Kakkanat , Andrey G. Kalinichev , Narasimhan Loganathan , Juliana Zaini , Malik M. Nauman , A. Ozgur Yazaydin

The long-term security of geological CO₂ storage depends not only on the capacity of reservoir rocks to accommodate CO₂ but also on their ability to retain it under leakage scenarios. In this study, molecular dynamics simulations were used to investigate CO₂ behavior in illite-based shale pores with varying organic content and structural configurations. Three representative pore models were examined: a purely mineral illite pore, an illite pore fully packed with Type II-D kerogen, and a wider illite pore partially filled with kerogen. Under reservoir conditions, supercritical CO₂ was injected into each system, followed by a simulated leakage event. The findings reveal that, although pores with greater void volume store more CO₂ initially, their ability to retain it under leakage conditions is markedly lower. In contrast, kerogen-rich systems retain a significantly larger fraction of the adsorbed CO₂, especially in regions where kerogen is in direct contact with mineral surfaces. These results highlight the critical importance of organic content and mineral–organic interfacial structure in controlling CO₂ retention, offering molecular-level insights into the design of more secure geological storage systems.

地质储存CO 2的长期安全性不仅取决于储层岩石容纳CO 2的能力，还取决于它们在泄漏情况下的保留能力。在本研究中，采用分子动力学模拟方法研究了不同有机质含量和结构构型的伊利石基页岩孔隙中CO₂的行为。研究了三种具有代表性的孔隙模型：纯矿物伊利石孔、完全充填ⅱ- d型干酪根的伊利石孔和部分充填干酪根的较宽伊利石孔。在油藏条件下，将超临界CO 2注入每个系统，然后模拟泄漏事件。研究结果表明，虽然孔隙体积较大的孔隙最初储存更多的CO₂，但在泄漏条件下，它们保留CO₂的能力明显较低。相比之下，富含干酪根的系统保留了大量吸附的CO₂，特别是在干酪根与矿物表面直接接触的区域。这些结果强调了有机含量和矿物-有机界面结构在控制CO₂滞留中的关键重要性，为设计更安全的地质储存系统提供了分子水平的见解。

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引用次数: 0

Engineered nanoporous sorbents for gaseous fluorocarbons related adsorption applications 工程纳米多孔吸附剂的气体氟碳相关的吸附应用

Carbon Capture Science & Technology

Pub Date : 2025-09-22 DOI: 10.1016/j.ccst.2025.100522

Jian Shen , Chaoxing Li , Yongqi Liu , Mingliang Yang , Qiongzhi Zhou , Fei Kang , Xiaohong Zheng , He Zhao , Sandip Sabale , Deok-kee Kim , Yiming Li , Jian Xiong , Qiangying Zhang , Yu Zheng

The utilization or emission of fluorocarbons in varied industries, including fine chemicals development, nonferrous metals smelting, electronics/semiconductors fabrication, and space heating/cooling, is continuously increasing year after year due to society advancement and population expansion, but at the prices of chemicals waste and irreversible environmental issues. Thus, the development of engineered solid sorbents will necessitate the capture, separation, and recycling of fluorocarbons in each scenario. This review initially discusses the sources and techniques required for various fluorocarbons used or emitted in existing industries, followed by a brief introduction to the importances of sorption media. The impacts of sorbents used in fluorocarbon sorption-related applications are reviewed to emphasize the importance of engineered nanoporous sorbents with specific textural/chemical properties to improve sorption-related performance. Furthermore, engineered strategies for sorbent design based on continuous pore-filling mechanisms, including sorbent-fluorocarbons interactions by controlling the strength of acid-base pairs and fluorocarbon-fluorocarbon interactions by tuning pore size/dimension/shape/morphology, are outlined. In addition, systemic experimental and computational characterizations provide insights into structure-performance correlations and corresponding sorption mechanisms. Next, we exemplified perfluorocarbons and refrigerants as typical fluorocarbons to further illustrate the roles of engineered nanoporous sorbents in fluorocarbon sorption performance. Finally, we emphasize the future challenges and opportunities for fluorinated gas purification and reuse with the “Mechanisms—Data” dual-driven conception for engineered nanoporous sorbent development.

随着社会的进步和人口的增长，精细化学品开发、有色金属冶炼、电子/半导体制造、空间加热/制冷等各行业对氟碳化合物的利用或排放逐年持续增加，但代价是化学废物和不可逆转的环境问题。因此，工程固体吸附剂的发展将需要在每种情况下捕获、分离和回收氟碳化合物。本综述首先讨论了现有工业中使用或排放的各种氟碳化合物的来源和所需的技术，然后简要介绍了吸附介质的重要性。综述了氟碳吸附相关应用中使用的吸附剂的影响，强调了具有特定结构/化学性质的工程纳米孔吸附剂对改善吸附相关性能的重要性。此外，还概述了基于连续孔隙填充机制的吸附剂设计的工程策略，包括通过控制酸碱对的强度来控制吸附剂与碳氟化合物的相互作用，以及通过调整孔隙大小/尺寸/形状/形态来调节碳氟化合物与碳氟化合物的相互作用。此外，系统的实验和计算表征为结构-性能相关性和相应的吸附机制提供了见解。接下来，我们以全氟碳化合物和制冷剂为典型的氟碳化合物为例，进一步说明工程纳米孔吸附剂对氟碳吸附性能的作用。最后，我们以“机制-数据”双重驱动的概念为工程纳米孔吸附剂的开发强调了氟化气体净化和再利用的未来挑战和机遇。

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引用次数: 0

Graphene-based metal-organic framework nanocomposites for CO2 reduction reactions 用于CO2还原反应的石墨烯基金属-有机骨架纳米复合材料

Carbon Capture Science & Technology

Pub Date : 2025-09-22 DOI: 10.1016/j.ccst.2025.100523

Kayode Adesina Adegoke, Potlaki Foster Tseki

The CO₂ reduction reactions present a viable approach to addressing the challenges of energy scarcity and the pressing concerns of global warming. To enhance their kinetically sluggish processes, developing highly stable, cost-effective, selective, and energy-efficient catalysts is essential. Graphene-based metal-organic frameworks (MOFs) composite exhibits characteristics such as outstanding conductivity, structural tunability, and excellent surface chemistry and sustainability, positioning them as innovative competitors for both CO₂ conversion to fuels and chemicals. In this study, we present recent developments in graphene-based MOF catalysts for CO₂ reduction reactions (CO₂RR). Before discussing the evaluation of the approaches for graphene-based MOFs, rational, structural, and electronic synergies of graphene/MOF nanocomposites were addressed. Various synthetic techniques, a comprehensive review of characterization techniques, associated challenges, and the relation between graphene-based MOF structures and their conductivity are examined. A detailed breakthrough in both photocatalytic and electrocatalytic performance for CO₂RR is examined. The concluding remarks emphasized the knowledge gaps, related deficiencies, and strengths, with significant viewpoints and concepts for enhancing graphene-based MOFs for CO₂RR in accordance with pragmatic industry expectations. This study offers the scientific community a thorough insight into the present research emphasis and the significance of creating more efficient and environmentally sustainable graphene-based MOFs for clean energy conversion. This is essential for tackling the difficulties of reducing greenhouse gas emissions and alleviating the global energy deficit.

二氧化碳减排反应为解决能源短缺的挑战和全球变暖的紧迫问题提供了一种可行的方法。为了提高其动力学迟缓过程，开发高度稳定、高性价比、高选择性和高能效的催化剂是必不可少的。石墨烯基金属有机框架（mof）复合材料具有优异的导电性、结构可调性、优异的表面化学和可持续性等特点，使其成为二氧化碳转化为燃料和化学品的创新竞争对手。在这项研究中，我们介绍了用于二氧化碳还原反应（CO2RR）的石墨烯基MOF催化剂的最新进展。在讨论石墨烯基MOF的评价方法之前，首先讨论了石墨烯/MOF纳米复合材料的理性、结构和电子协同作用。研究了各种合成技术、表征技术的综合综述、相关挑战以及石墨烯基MOF结构与其导电性之间的关系。研究了CO2RR在光催化和电催化性能方面的详细突破。结束语强调了知识差距、相关缺陷和优势，并根据务实的行业期望，对增强基于石墨烯的CO2RR mof提出了重要的观点和概念。这项研究为科学界提供了一个全面的见解，了解当前的研究重点，以及为清洁能源转换创造更高效、环境可持续的石墨烯基mof的意义。这对解决减少温室气体排放和缓解全球能源赤字的困难至关重要。

{"title":"Graphene-based metal-organic framework nanocomposites for CO2 reduction reactions","authors":"Kayode Adesina Adegoke, Potlaki Foster Tseki","doi":"10.1016/j.ccst.2025.100523","DOIUrl":"10.1016/j.ccst.2025.100523","url":null,"abstract":"<div><div>The CO<sub>2</sub> reduction reactions present a viable approach to addressing the challenges of energy scarcity and the pressing concerns of global warming. To enhance their kinetically sluggish processes, developing highly stable, cost-effective, selective, and energy-efficient catalysts is essential. Graphene-based metal-organic frameworks (MOFs) composite exhibits characteristics such as outstanding conductivity, structural tunability, and excellent surface chemistry and sustainability, positioning them as innovative competitors for both CO<sub>2</sub> conversion to fuels and chemicals. In this study, we present recent developments in graphene-based MOF catalysts for CO<sub>2</sub> reduction reactions (CO<sub>2</sub>RR). Before discussing the evaluation of the approaches for graphene-based MOFs, rational, structural, and electronic synergies of graphene/MOF nanocomposites were addressed. Various synthetic techniques, a comprehensive review of characterization techniques, associated challenges, and the relation between graphene-based MOF structures and their conductivity are examined. A detailed breakthrough in both photocatalytic and electrocatalytic performance for CO<sub>2</sub>RR is examined. The concluding remarks emphasized the knowledge gaps, related deficiencies, and strengths, with significant viewpoints and concepts for enhancing graphene-based MOFs for CO<sub>2</sub>RR in accordance with pragmatic industry expectations. This study offers the scientific community a thorough insight into the present research emphasis and the significance of creating more efficient and environmentally sustainable graphene-based MOFs for clean energy conversion. This is essential for tackling the difficulties of reducing greenhouse gas emissions and alleviating the global energy deficit.</div></div>","PeriodicalId":9387,"journal":{"name":"Carbon Capture Science & Technology","volume":"17 ","pages":"Article 100523"},"PeriodicalIF":0.0,"publicationDate":"2025-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145320913","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An open-source dynamic model for direct air capture of carbon dioxide using solid sorbents 利用固体吸附剂直接捕获空气中的二氧化碳的开源动态模型

Carbon Capture Science & Technology

Pub Date : 2025-09-16 DOI: 10.1016/j.ccst.2025.100516

Milad Shakouri Kalfati, Ahmed Abdulla

Averting the worst consequences of climate change requires decarbonizing the global energy system and deploying carbon dioxide removal technologies, including the direct air capture of CO

_{2}

. To estimate the cost and performance of the latter technologies, climate and energy system analysts need numerical process models that are validated with experimental data. Existing process models often limit reconfiguration that accommodates different design choices or restrict modelling to steady-state conditions. However, ambient environmental conditions like temperature, humidity, pressure, and inlet CO

_{2}

concentration vary, affecting capture. This study develops an open-source process model for direct air capture using solid sorbents. Starting from first principles, this model allows users to select facility sizes, sorbents, other design parameters, and locations to simulate the capture performance of a solid sorbent direct air capture plant. More importantly, users can incorporate climate data to determine site-specific performance. Here, model validation is presented for two cold-climate sorbents that are being proposed for nations in northern latitudes. Results for climatically different cities are presented, highlighting the importance of sorbent choice and ambient environmental conditions on the overall capture performance and energy requirement of a direct air capture facility. The model can be employed by engineers, investors, and energy system analysts to undertake design optimization research, siting analyses, and improved studies that integrate high-fidelity process models into energy system optimization.

为了避免气候变化的最严重后果，需要使全球能源系统脱碳，并采用二氧化碳去除技术，包括直接在空气中捕获二氧化碳。为了估计后一种技术的成本和性能，气候和能源系统分析师需要用实验数据验证的数值过程模型。现有的过程模型通常限制了适应不同设计选择的重新配置，或者将建模限制在稳态条件下。然而，环境条件，如温度、湿度、压力和进口二氧化碳浓度变化，都会影响捕集。本研究开发了一个使用固体吸附剂直接捕获空气的开源过程模型。从第一原理开始，该模型允许用户选择设施大小，吸附剂，其他设计参数和位置，以模拟固体吸附剂直接空气捕获工厂的捕获性能。更重要的是，用户可以结合气候数据来确定站点的特定性能。在这里，提出了针对北纬国家提出的两种寒冷气候吸附剂的模型验证。本文给出了气候不同城市的结果，强调了吸附剂选择和环境条件对直接空气捕获设施的整体捕获性能和能源需求的重要性。该模型可用于工程师、投资者和能源系统分析师进行设计优化研究、选址分析，以及将高保真过程模型集成到能源系统优化中的改进研究。

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引用次数: 0