Carbon reduction potential of China's coal-fired power plants based on a CCUS source-sink matching model

Fan, Jing-Li; Xu, Mao; Wei, Shijie; Shen, Shuo; Diao, Yiwei; Zhang, Xian

doi:10.1016/j.resconrec.2020.105320

Cited by 77 publications

(15 citation statements)

References 57 publications

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“…When a model was not assigned an original name in the published literature, its name can be determined by combining the associated source-sink matching approach, network characteristics, or the author's name with the addition of the study area. Thus, 16 models were renamed as follows: M1_SimCCS [18]; M2_CCSPD [19,20]; M3_SimCCS_TIME [21]; M4_InfraCCS_EUR [22]; M5_ChinaCCS_DSS [23,24]; M6_PNS [25]; M7_SCN_US [12,13]; M8_MARKAL_ IND [26]; M9_MILP_EUR (d'Amore et al, [9,10]); M10_MINLP_KOR [27]; M11_MILP_ESP [28]; M12_ ITEAM_CHN [14,29]; M13_SSM_WANG_CHN [30]; M14_SSM_FAN_CHN [11,15]; M15_C3IAM/GCOP (Wei et al, [17]); and M16_ChinaCCUS_DSS_2.0 [16] (Please refer to Supplementary Table 1 and following List of Abbreviations for the detailed information of the 16 types of CCUS source-sink matching models).…”

Section: Model Selection and Evaluation Systemmentioning

confidence: 99%

“…The M15_C3IAM/GCOP model [14] collected 4220 industry-wide carbon clusters and 794 sinks from 85 countries and regions and was committed to the global 92 Gt emission reduction goal contributed by CCUS. The M14_SSM_FAN_CHN model [11,15] developed an optimization model that does not consider cost constraints to explore the emission reduction potential of 607 existing coal-fired power plants in China, using a total of 3853 high-resolution grids for saline aquifers and oil fields as the carbon sinks. The marine geological survey database has rarely been fully utilized to identify potential carbon sinks, although some exploration has been conducted by the M9_MILP_EUR [9,10] and M10_MINLP_KOR [27] models.…”

Section: Carbon Sources and Carbon Sinksmentioning

confidence: 99%

“…The CO 2 pipeline network design, which is typical of graph theory and can be solved by mixed integer linear programming (MILP) combined with a geographic information system (GIS), has infrastructure constructions that have been planned towards achieving the optimum cost-effective CCUS layout in various models. In addition, some models have exerted their effectiveness on frontiers, including more solid datasets of carbon sources and sinks that can solve a CCUS problem for an entire country like the United States or China, or even a continent like Europe [9][10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

“…Consequently, some important elements or limitations should be carefully considered, such as the industrywide carbon sources, the grid-level CO 2 injection rate capacity, the high-profit utilization option of enhanced oil recovery (EOR), the real geographic conditions, and the growing network in response to the changing mitigation demand over time [11][12][13][15][16][17]. Furthermore, the following two important aspects may have been overlooked: (i) an explicit mitigation target of CCUS driven by carbon neutrality, i.e., there is still a lack of indepth insights on how existing models can better connect demand-oriented source-sink matching to guide emerging capability targets; and (ii) the integration of models, such as the uncertainty of deployment led by technology competition, policies, public acceptance, risk assessment, negative-carbon technology system, and so on.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Advances, challenges, and perspectives for CCUS source-sink matching models under carbon neutrality target

Zhang

et al. 2022

Carb Neutrality

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With the widespread popularity of carbon neutrality, the decarbonization approach using carbon capture, utilization, and storage (CCUS) has grown from a low-carbon utilization technology to an indispensable technology for the entire global carbon-neutral technology system. As a primary method to support CCUS research, source-sink matching models face several new demand-oriented challenges. Comprehensive research and in-depth insights are needed to guide targeted capability upgrades. This review evaluates the advances, challenges, and perspectives of various CCUS source-sink matching models developed in the past 10 years. We provide an integrated conceptual framework from six key attributes relating to mitigation targets, carbon sources, carbon sinks, transportation networks, utilization, and integration (synergy). The results indicate that previous models have effectively deepened our understanding of the matching process by targeting various CCUS-related issues and provided a solid foundation for more robust models to be developed. Six perspectives are put forward to outline research and development prospects for future models, which may have meaningful effects for advancement under emerging carbon neutrality targets.

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Section: Model Selection and Evaluation Systemmentioning

confidence: 99%

Section: Carbon Sources and Carbon Sinksmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Advances, challenges, and perspectives for CCUS source-sink matching models under carbon neutrality target

Zhang

et al. 2022

Carb Neutrality

Self Cite

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“…Fan et al. developed a CCUS source‐sink matching model by considering the constraints of CO 2 emissions, CO 2 storage potential, injection capacity of various storage sites, and transport distance in China, and the optimization model was applied to determine the CO 2 reduction potential of existing coal‐fired power plants with CCUS in China 21 …”

Section: Introductionmentioning

confidence: 99%

An optimization‐based CCUS source‐sink matching model for dynamic planning of CCUS clusters

Lin

Yang

et al. 2022

Greenhouse Gases

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Carbon capture, utilization and storage (CCUS) is a critical technology option in achieving large-scale CO 2 mitigation for power and industrial sectors. A full-chain CCUS cluster could be formed based on numerous scattered capture sources and one or more storage sites connected by a pipeline network. Reasonable source-sink matching planning for a full-chain CCUS cluster could substantially reduce the system overhead. However, most of the previous studies could hardly address the dynamic source-sink matching planning problem of a full-chain CCUS cluster with multiple types of emission sources and sinks during multiple periods. Therefore, the objective of this study is to investigate an optimized source-sink matching scheme within a CCUS cluster through developing an optimization-based CCUS source-sink matching model. The proposed model is based on multistage mixed integer linear programming techniques with the objective of least-cost strategy; thus, it can deal with dynamics of capacity expansion associated with CCUS activities. The developed method is then applied to a CCUS cluster facing long-term dynamic planning issues. The modeling results suggest that the optimization-based CCUS source-sink matching model is applicable in reflecting dynamics of time, scale and location of CO 2 capture, transportation and storage within a CCUS cluster. The obtained solutions can provide decision bases for formulating an optimal planning scheme of a full-chain CCUS cluster under evolving reduction targets or constraints.

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Microalgae Film‐Derived Water Evaporation‐Induced Electricity Generator with Negative Carbon Emission

Xu,

Zhao,

Jiao

et al. 2024

Advanced Science

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Water evaporation–induced electricity generators (WEGs) are regarded as one of the most promising solutions for addressing the increasingly severe environmental pollution and energy crisis. Owing to the potential carbon emission in the preparation process of WEGs, whether WEG represents a clean electricity generation technology is open to question. Here, a brand‐new strategy is proposed for manufacturing negative carbon emission WEG (CWEG). In this strategy, the microalgae film is used as the electricity generation interface of WEG, which achieves a stable open‐circuit voltage (Voc) of 0.25 V and a short‐circuit current (Isc) of 3.3 µA. Since microalgae can capture carbon dioxide during its growing process, CWEG holds great promise to generate electricity without carbon emissions in the full life cycle compared with other WEGs. To the best of the author's knowledge, this is the first work using microalgae films to fabricate WEG. Therefore, it is believed that this work not only provides a new direction for designing high‐efficiency and eco‐friendly WEG but also offers an innovative approach to the resource utilization of microalgae.

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Carbon reduction potential of China's coal-fired power plants based on a CCUS source-sink matching model

Cited by 77 publications

References 57 publications

Advances, challenges, and perspectives for CCUS source-sink matching models under carbon neutrality target

Advances, challenges, and perspectives for CCUS source-sink matching models under carbon neutrality target

An optimization‐based CCUS source‐sink matching model for dynamic planning of CCUS clusters

Microalgae Film‐Derived Water Evaporation‐Induced Electricity Generator with Negative Carbon Emission

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