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Development of Carbon Capture, Utilization and Storage Technology in China

Zhang Xian, Li Yang, Ma Qiao, Liu Lingna

Strategic Study of CAE 2021, Volume 23, Issue 6, Pages 70-80 doi: 10.15302/J-SSCAE-2021.06.004

Abstract:

Carbon capture, utilization and storage (CCUS) is an indispensable optiontechnical development level, demonstration progress, cost effectiveness, and CO2 reduction potential of CCUSin China to review the status of CCUS and identify its future direction of development.The conclusion indicates that China’s deployment of CCUS projects has developed rapidly and isIn terms of cost and benefit, although the current cost of CCUS technology is high, CCUS remains a cost-effective

Keywords： carbon neutrality，carbon capture utilization and storage (CCUS)，technology research and demonstration

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Production of hydrogen from fossil fuel: A review

Frontiers in Energy 2023, Volume 17, Issue 5, Pages 585-610 doi: 10.1007/s11708-023-0886-4

Abstract: hydrogen production from methane should be integrated with carbon capture, utilization, and storage (CCUS

Keywords： methane catalytic conversion natural gas hydrogen production CCUS

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China’s policy framework for carbon capture, utilization and storage: Review, analysis, and outlook

Frontiers in Energy 2023, Volume 17, Issue 3, Pages 400-411 doi: 10.1007/s11708-023-0862-z

Abstract: Carbon capture, utilization, and storage (CCUS) is estimated to contribute substantial CO₂current capacity, and thus a sound enabling environment with sufficient policy support is imperative for CCUSThis study reviewed 59 CCUS-related policy documents issued by the Chinese government as of July 2022, and found that a supporting policy framework for CCUS is taking embryonic form in China.More than ten departments of the central government have involved CCUS in their policies, of which the

Keywords： carbon capture utilization and storage (CCUS) policy content analysis China

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Current Status and Outlook of Offshore CO2 Pipeline Transportation Technologies

Wang Ziming, Li Qingping, Li Jianghui, Fan Zhenning, Zhang Jian

Strategic Study of CAE doi: 10.15302/J-SSCAE-2023.06.017

Abstract: sea, serving as a key procedure for an offshore carbon capture, utilization and sequestration (CCUS) project, as well as a core technology for the large-scale construction of CCUS projects in ChinaThis study clarifies the advantages of China in the construction of offshore CCUS projects, typical

Keywords： CO2 pipeline offshore CCUS subsea pipeline pipeline corrosion pipeline fracture leakage monitoring

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System integration of CCS, CCUS, CCRS, CMC

Jin Yong, Zhu Bing, Hu Shanying, Hong Liyun

Strategic Study of CAE 2010, Volume 12, Issue 8, Pages 49-55

Abstract: Carbon Capture Use and Storage (CCUS) and Carbon Capture Reuse and Storage (CCRS), as the two concepts

Keywords： low carbon economy Carbon Capture and Storage Carbon Capture Use and Storage Carbon Capture Reuse and Storage Comprehensive Management of Carbon

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Research on Technology Directions and Roadmap of CCS/CCUS for Coal-Fired Power Generation in China

Ye Yunyun, Liao Haiyan, Wang Peng, Wang Junwei, Li Quansheng

Strategic Study of CAE 2018, Volume 20, Issue 3, Pages 80-89 doi: 10.15302/J-SSCAE-2018.03.012

Abstract: development directions of a carbon capture and storage (CCS) / carbon capture, utilization and storage (CCUScalculated, contributions of energy saving and consumption reduction, energy structure adjustment, the CCS/CCUSemission reduction are evaluated, and recommendations for popularization and application of the CCS/CCUS

Keywords： coal-fired generation carbon capture utilization and storage technology roadmap emission forecast policy proposal

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Bayesian Optimization for Field-Scale Geological Carbon Storage

Xueying Lu, Kirk E. Jordan, Mary F. Wheeler, Edward O. Pyzer-Knapp, Matthew Benatan

Engineering 2022, Volume 18, Issue 11, Pages 96-104 doi: 10.1016/j.eng.2022.06.011

Abstract:

We present a framework that couples a high-fidelity compositional reservoir simulator with Bayesian optimization (BO) for injection well scheduling optimization in geological carbon sequestration. This work represents one of the first at tempts to apply BO and high-fidelity physics models to geological carbon storage. The implicit parallel accurate reservoir simulator (IPARS) is utilized to accurately capture the underlying physical processes during CO2 sequestration. IPARS provides a framework for several flow and mechanics models and thus supports both stand-alone and coupled simulations. In this work, we use the compositional flow module to simulate the geological carbon storage process. The compositional flow model, which includes a hysteretic three-phase relative permeability model, accounts for three major CO2 trapping mechanisms: structural trapping, residual gas trapping, and solubility trapping. Furthermore, IPARS is coupled to the International Business Machines (IBM) Corporation Bayesian Optimization Accelerator (BOA) for parallel optimizations of CO2 injection strategies during field-scale CO2 sequestration. BO builds a probabilistic surrogate for the objective function using a Bayesian machine learning algorithm—the Gaussian process regression, and then uses an acquisition function that leverages the uncertainty in the surrogate to decide where to sample. The IBM BOA addresses the three weaknesses of standard BO that limits its scalability in that IBM BOA supports parallel (batch) executions, scales better for high-dimensional problems, and is more robust to initializations. We demonstrate these merits by applying the algorithm in the optimization of the CO2 injection schedule in the Cranfield site in Mississippi, USA, using field data. The optimized injection schedule achieves 16% more gas storage volume and 56% less water/surfactant usage compared with the baseline. The performance of BO is compared with that of a genetic algorithm (GA) and a covariance matrix adaptation (CMA)-evolution strategy (ES). The results demonstrate the superior performance of BO, in that it achieves a competitive objective function value with over 60% fewer forward model evaluations.

Keywords： Compositional flow Bayesian optimization Geological carbon storage CCUS Machine learning AI for

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Lifecycle carbon footprint and cost assessment for coal-to-liquid coupled with carbon capture, storage, and utilization technology in China

Frontiers in Energy 2023, Volume 17, Issue 3, Pages 412-427 doi: 10.1007/s11708-023-0879-3

Abstract: The coal-to-liquid coupled with carbon capture, utilization, and storage technology has the potential to reduce CO₂ emissions, but its carbon footprint and cost assessment are still insufficient. In this paper, coal mining to oil production is taken as a life cycle to evaluate the carbon footprint and levelized costs of direct-coal-to-liquid and indirect-coal-to-liquid coupled with the carbon capture utilization and storage technology under three scenarios: non capture, process capture, process and public capture throughout the life cycle. The results show that, first, the coupling carbon capture utilization and storage technology can reduce CO₂ footprint by 28%–57% from 5.91 t CO₂/t·oil of direct-coal-to-liquid and 24%–49% from 7.10 t CO₂/t·oil of indirect-coal-to-liquid. Next, the levelized cost of direct-coal-to-liquid is 648–1027 $/t of oil, whereas that of indirect-coal-to-liquid is 653–1065 $/t of oil. When coupled with the carbon capture utilization and storage technology, the levelized cost of direct-coal-to-liquid is 285–1364 $/t of oil, compared to 1101–9793 $/t of oil for indirect-coal-to-liquid. Finally, sensitivity analysis shows that CO₂ transportation distance has the greatest impact on carbon footprint, while coal price and initial investment cost significantly affect the levelized cost of coal-to-liquid.

Keywords： coal-to-liquid carbon capture utilization and storage (CCUS) carbon footprint levelized cost of liquid