What do we know about research on carbon capture, utilization and storage (CCUS) in China and the United States? Insights from the systematic review

doi:10.21203/rs.3.rs-2108142/v1

Download PDF

Research Article

What do we know about research on carbon capture, utilization and storage (CCUS) in China and the United States? Insights from the systematic review

https://doi.org/10.21203/rs.3.rs-2108142/v1

This work is licensed under a CC BY 4.0 License

Journal Publication

published 02 Jun, 2023

Read the published version in Environmental Science and Pollution Research →

Version 1

posted

You are reading this latest preprint version

Carbon dioxide capture, utilization and storage (CCUS) technology is an emerging technology with large-scale emission reduction potential and an essential component of the global response to climate change to achieve carbon neutrality goals. As the two most important countries in global climate governance, it is an exciting task to systematically review and examine the current status and trends of research in the field of CCUS in China and the United States. This paper used bibliometric tools to systematically sort out and analyze the peer-reviewed articles on the Web of Science in China and the United States during 2000–2022. It provides the first quantitative analysis of the current status and recent trends of CCUS technology in China and the United States regarding research institutions, major groups and core authors, highly cited papers, influential journals, disciplinary distribution, research hotspots, and topic clustering. The results show a significant increase in research interest in this topic among scholars from both countries. The number of publications in the CCUS field in China and the United States was 1196 and 1302, respectively, showing an increasing trend. China and the United States have become the most influential countries in the area of CCUS. And the United States has a more significant academic influence on a global scale. Based on the differences in the national conditions of the two countries, the research hotspots in the field of CCUS in China and the United States show the characteristics of diversification and differentiation. China and the United States pay attention to different research hotspots or have different focuses in different periods. This paper also finds that new capture materials and technology development, geological storage monitoring and early warning, CO₂ utilization and new energy development, sustainable business models, incentive policies and measures, and public awareness are critical directions for future research in the field of CCUS. To provide a comprehensive review and comparison of CCUS technology development in China and the United States. It helps to gain insight into the research differences and linkages between the two countries in the field of CCUS and identify the research gaps between them. And place some consensus that policymakers can use.

CCUS

Technology mapping

Temporal evolution

Technology foresight

Prospective breakthroughs

Systematic review

Global warming is the most critical environmental issue in the world today, and it is also the most significant climate issue facing humanity today (Trenberth et al. 2014). Global warming can lead to frequent extreme weather events, such as heat waves, droughts, and forest fires. The impact on human activities will be severe (Allen et al. 2009, Chen &Sun 2017, Masson-Delmotte et al. 2018). Carbon dioxide is one of the most critical factors contributing to global warming. The significant increase in atmospheric carbon dioxide concentration is mainly due to the excessive use of fossil fuels in human production and social activities. According to the report, global CO₂ emissions in 2019 totaled 34.17 billion tons, of which China and the United States accounted for 28.8% and 14.5%, respectively. They are the two largest global countries regarding carbon emissions (Beusch et al. 2022, Chapman &Ahmed 2021). Therefore, conducting a study on the governance of carbon dioxide emissions in China and the United States is essential. Once China and the United States agree on climate issues. It will significantly enhance global confidence in addressing climate change and advance global climate governance to a new level.

CCUS technology is an effective means to address global climate change and has enormous potential for carbon reduction. It is considered one of the critical technologies indispensable for achieving the global net-zero emission target (de Kleijne et al. 2022, Page et al. 2020). According to IEA projections, the contribution of CCUS technology to emissions reductions will rise from 3% of total emissions reductions in 2020 to 10% in 2030, reaching about 20% in 2050. It will be the single technology with the largest share of global CO₂ deductions (International Energy 2020). As a result, more and more countries are choosing CCUS technology as a carbon reduction tool in their long-term climate policies. After decades of development, CCUS technology has evolved from a single technology to a diverse, multidisciplinary, cross-cutting technology portfolio (Hasan et al. 2015, Tapia et al. 2018). Therefore, it is necessary to comprehensively sort out the development history and evolution pattern of CCUS technology. It helps researchers to have a clear understanding of the current status of research in the field of CCUS. In turn, it will promote the sustainable development of CCUS technology.

In recent years, with the rapid development of metric science, knowledge graph and information visualization technology. Bibliometric analysis has become an emerging method for data mining and massive literature processing (Donthu et al. 2021, Ellegaard &Wallin 2015). Bibliometric analysis is a method of quantitative analysis of a field using mathematics and statistics, which can quickly visualize the literature and quantify the characteristics and patterns of development of an area, helping researchers to quickly sort out and comprehensively grasp the dynamics and evolution of the field. It can also unravel the nuances of the evolution of a particular field and reveal emerging areas in the field (Camana et al. 2021, Concari et al. 2022). Therefore, it is applied to various disciplines or fields for literature review. Such as the global critical metals (Liu et al. 2022b), green energy and environmental technologies (Tan et al. 2021), international trade (Tian et al. 2018), life cycle assessment (He &Yu 2020), and household carbon emissions research (Zeng et al. 2021). It can be seen that this method is a relatively mature and standard method for review research.

Many review papers provide a summary of specific aspects of the CCUS literature. Li et al. (2019) examined global research trends in CCS from 1997–2017 from a social science perspective and made recommendations for future work on CCS by discussing the primary modeling techniques. Jiang and Ashworth (2021) conducted a bibliometric analysis by reviewing 1202 scientific articles related to CCUS in China. The hotspot studies of CCUS technology in China are given, and the impact of policies on the technology is analyzed. Yan et al. (2021) reviewed CCUS using a machine science approach to demonstrate the role and promise of this approach for research in the field of CCUS. Kang et al. (2021) outline the patent placement strategy of CCUS in significant economies worldwide through an overview of the global CCUS technology patent database. A review of the development of integration methods for the CCUS system planning process has also been conducted to address the need to integrate the various methods into a unified framework, which will help planners to carry out large CCUS projects (Tapia et al. 2018). In conclusion, the existing studies focus on research trends in the CCS or CCUS globally, in China, or other countries. However, few comparative studies have been conducted between major countries, especially China and the United States, as the leaders of CCUS projects and the top two countries in the number of scientific publications. China and the United States occupy a critical position in the global CCUS field. Therefore, it is significant and valuable to review and compare the development and evolution of the CCUS field in China and the United States over the past 20 years.

To fill this literature gap and promote the field's development in China and the United States. This study focuses on literature big data and uses bibliometric tools to explore the current situation and future growth trend of CCUS technology reserves in China and the United States from the perspective of text mining. By systematically analyzing and comparing the development characteristics and cutting-edge trends of CCUS technology in China and the United States over the past 20 years, this paper further reveals the differences and connections between China and the United States in the field of CCUS. Through such a study, this paper aims to answer the following questions:

(1) What are the trends and characteristics of scientific publications in the field of CCUS in China and the United States? And what advances have been made in CCUS technology in both countries?

(2) Which institutions and research teams in China and the United States have contributed the most to the field of CCUS? What are the two country's links and differences in research progress?

(3) What are the research hotspots in this field in China and the United States? What are the future research directions?

The answers to these questions are essential to improve the overall understanding of CCUS in China and the United States, which will help scholars in both countries accurately grasp research priorities and trends. The main contributions of this study are the first systematic comparison of CCUS technology development in China and the United States over the past 20 years from a literature mining perspective. It also presents new insights into the development history, collaborative teams, hotspots, and future directions of CCUS technologies in China and the United States. This study identifies research strengths in the field, extracts emerging research areas, and acknowledges the knowledge base by comparing and analyzing the trends and characteristics of the CCUS field in China and the United States during 2000–2022. It provides policymakers in both countries with a comprehensive understanding of CCUS technology so they can know the gaps and connections between them in the CCUS field. It also provides future directions for global scholars in the field of CCUS.

The other sections of this paper are as follows: Section 2 focuses on the research methodology and data processing, Section 3 presents the main findings of this study, and Section 4 summarizes the paper and indicates future research work.

2.1 Methods description

This study visualizes the elements of literature such as time of publication, number of citations, author institutions, and keywords with the help of bibliometric methods such as VOSviewer and CiteSpace. VOSviewer is suitable for acquiring the overall information structure and has advantages in node clustering relationship and density view, which can be used for author and keyword co-occurrence mapping analysis and hotspot tracking to explore the evolution pattern and frontier dynamics of CCUS domain topics (Van Eck &Waltman 2010). While CiteSpace focuses on data visualization and panoramic display of scientific research evolution patterns and development processes, discovering research frontier dynamics and thematic clustering, the software can be used to draw time zone maps and keyword mutation detection (Chen 2017, Kang et al. 2022). This paper fully uses the features and advantages of both visualization software to accurately explore the nature of research topics in the CCUS domain. It explores the disciplinary development trends, author-institution cooperation, subject development lines, and research frontier dynamics of the CCUS technical knowledge domain in China and the United States. In turn, it presents critical nodes and evolutionary trends in the CCUS field in both countries. The research framework of this paper is shown in Fig. 1.

2.2 Data collection and pre-processing

As the world's largest and most comprehensive academic information platform covering a wide range of disciplines, the Web of Science covers natural sciences, engineering technology, biomedicine, social sciences, arts and humanities, and other fields and is regarded as the most suitable database for literature analysis (Mongeon &Paul-Hus 2016). Therefore, this paper uses bibliometric tools for data mining and statistical analysis of the Web of Science database.

In this paper, the Science Citation Index Expanded (SCI-E) and Social Sciences Citation Index (SSCI) in the Web of Science core collection were selected as data sources. The search strategy is as follows. TS= (“CCS” and “CO₂” or “carbon capture and storage” or “carbon capture and sequestra*” or “carbon capture, utilization, and sequestration” or “carbon capture, utilization and storage” or “CCS” and “carbon” or “CCS” and “carbon dioxide” or “CCUS” and “CO₂” or “CCUS” and “carbon” or “CCUS” and “carbon dioxide” or “CO₂ capture, utilization and storage” or “CO₂ capture, utilization and sequestration” or “CO₂ capture and storage” or “CO₂ capture and utilization” or “CO₂ capture and sequestra*” or “carbon capture and utilization”). The search time range 2000–2022 was on May 20, 2022. The literature type and language were divided into settings such as Articles and English. Countries were selected as PEOPLES R CHINA (Hong Kong, Macao, and Taiwan were not considered due to data access) and the United States. A total of 2868 journal articles were obtained from the initial search results. After screening and eliminating duplicate and non-compliant documents by researchers in related fields, 2498 valid documents were finally accepted as the research sample data for this paper. China has 1196 articles, and the United States has 1302 articles.

3.1 Temporal analysis

Figure 2 shows the trend of the number of CCUS or CCS literature published in China and the United States during 2000–2022, and it can be seen that the technology shows an overall upward trend. Combined with the characteristics and laws of this technology development, this paper divides the development trend into three stages: the first stage is the slow growth stage (2000–2008), the second stage is the rapid rise stage (2009–2018), and the third stage is the booming stage (2019-Present). Figure 2 shows that the amount of literature on CCUS is less in the first phase (2000–2008). The United States published 63 articles, accounting for 2.52% of the total publications, while China published 4 papers, accounting for only 0.16% of the total. The first Chinese literature on CCUS was published in 2004. It shows that the United States is earlier than China regarding CCUS research. In the second phase (2009–2018). The United States published 813 articles, accounting for 32.55% of the total number of publications. China published 609 papers, accounting for 24.38% of the total number of publications. Both Chinese and US CCUS technologies have developed rapidly during this period. Among them, the trend of CCUS technology in the United States is increasing first and then stable, while China is in a state of rapid increase all the time. And in 2016, China surpassed the United States for the first time. The third phase is (2019-Present). The United States published 426 articles, accounting for 17.05% of the total publications, while China published 583 papers, accounting for 23.34% of the total publications. It can be seen that Chinese CCUS technology has been growing rapidly in this phase. In 2019, the Chinese government proposed to achieve carbon peaking by 2030 and a carbon neutrality target by 2060. CCUS technology, as one of the critical emission reduction technologies for carbon neutrality, has more Chinese scholars started to research CCUS technology. In 2021, the United States returned to the Paris climate agreement and pledged to achieve net-zero emissions by 2050. The 26th United Nations Climate Change Conference (COP 26) was held in the same year. As the international community pays more and more attention to the net-zero emission target, CCUS technology is rapidly developing, the number of literary publications about this technology will increase in the future, and the research about CCUS technology will usher in an essential window.

3.2 Analysis of the distribution of journals and academic fields

3.2.1 Analysis of journal distribution

Based on the subject classification of the web of science database. This study examines the field of CCUS technology in China and the United States from 2000–2022 through the distribution of literature by subject categories and journals. From the perspective of journal distribution, the top 15 journals with a total of 1138 articles (45.6% of the total publications) were selected for analysis (Table 1). The remaining 1360 articles were distributed in 448 journals, which are not discussed in this paper due to the small number of papers issued. Table 1 shows the top 15 journals regarding the number of publications and citation attributes for 2000–2022. These are well-known energy, environmental science, atmospheric science, and chemical chemistry journals. Table 1shows that the International Journal of Greenhouse Gas Control has the highest number of publications, with 322 articles, accounting for 12.89% of the total number of articles published. Followed by Applied Energy (120, 4.8%), Energy (90, 3.6%), and Environmental Science & Technology (88, 3.52%). Among the 15 most published journals, Energy & Environmental Science has the highest impact factor of 39.71. In addition, it has an average number of citations per publication of 145.57, ranking first among all journals. It shows that these journals have a tremendous academic influence. It can also be seen that these journals show a greater interest in the study of CCUS technology and are more essential journals in this field.

Table 1

Top15 most productive journals during 2000–2022
Rank	Journal	TP	R (%)	IF	TC	TC/TP
1	International Journal of Greenhouse Gas Control	322	12.89	4.4	7636	23.71
2	Applied Energy	120	4.80	11.47	4495	37.46
3	Energy	90	3.60	8.86	2467	27.41
4	Environmental Science & Technology	88	3.52	2.52	5730	65.11
5	Energy Policy	80	3.20	7.76	3921	49.01
6	Journal of Cleaner Production	72	2.88	11.08	2093	29.07
7	Greenhouse Gases-Science and Technology	67	2.68	2.52	808	12.06
8	Energy & Fuels	49	1.96	4.65	925	18.88
9	Industrial & Engineering Chemistry Research	48	1.92	4.33	1554	32.38
10	Energies	43	1.72	3.25	371	8.63
11	Climatic Change	36	1.44	5.17	1915	53.19
12	Energy Conversion and Management	32	1.28	11.53	620	19.38
13	Energy Economics	31	1.24	9.25	1026	33.10
14	Energy & Environmental Science	30	1.20	39.71	4367	145.57
15	Chemical Engineering Journal	30	1.20	16.74	677	22.57
Note: TP indicates the total number of articles published in the journal. IF indicates the journal impact factor. R (%) means the proportion of literature published in the journal to the total number of papers. TC indicates the total number of citations. TC/TP indicates the average number of citations per publication.

3.2.2 Analysis of discipline distribution

From the perspective of disciplinary distribution, during 2000–2022, the CCUS in China and the United States are mainly clustered in 10 disciplinary areas, namely Engineering, Energy and Fuels, Environmental Science and Ecology, Science and Technology, Chemistry, Materials Science, Thermodynamics, Business and Economics, Geology, Meteorology and Atmospheric Sciences, and other topics. The distribution of literature disciplines shows that CCUS technology involves multidisciplinary fields. Among them, the engineering category accounted for 23.9% of the total articles issued and was first. Energy and Fuels, Environmental Science and Ecology for 21.49%, 12.07%, and 2.55%, respectively (Fig. 3). The research related to CCUS technology can be seen in engineering, environmental science, atmospheric science, business and economics, ecology, and energy. It can be seen that CCUS technology as a technology portfolio involves a wide range of disciplinary fields and has multidisciplinary cross-fertilization characteristics. It has received increasing attention from scholars with different disciplinary backgrounds.

3.3 Co‑institution network analysis

Table 2 shows the top 20 institutions in the United States and China regarding the number of articles published on CCUS topics from 2000 to 2022. In issuing institutions, there are 20 institutions with more than 37 articles, including 11 from China and 9 from the United States. These institutions have published 1197 articles, accounting for 47.92% of the total number of publications, indicating that they have solid scientific capabilities in the field of CCUS and have gathered many outstanding scientific scholars and teams. Comparing the number of articles published in China and the United States, it can be found that the Chinese Acad Sci has published the most papers, with 180 pieces (7.21%) ranking first in both institutions. Followed by Tsinghua University with 112 articles (4.48%), and Carnegie Mellon Univ of the United States organized the third. A total of 84 pieces (3.36%) were published. Although more articles were published in the United States than in China during 2000–2022, United States research institutions on CCUS did not rank first. This result indicates China's importance and outstanding contribution to research in CCUS-related fields.

Carnegie Mellon Univ ranked first in total article citations with 6580 citations. It was followed by Univ Calif Berkeley (3854) and Tsinghua Univ (3750), and Chinese Acad Sci (3695) in China. Other institutions with more than 2000 citations include MIT, Stanford Univ, and Princeton Univ. These institutions have a high level of scientific research. Undeniably, the United States, as one of the first countries to study CCUS technology, profoundly influences the CCUS field. In addition, in terms of cooperation intensity, Chinese Acad Sci inter-institutional linkage intensity reached 223, ranking first. Tsinghua University (117), and Univ Chinese Acad Sci (84), indicate that these institutions have some teamwork, but on the whole, the cooperation intensity of 14 institutions is less than 70. Others that have yet to be counted are lower. This is sufficient to show that the power of inter-institutional collaboration still needs to be further strengthened.

Table 2

Top 20 institutions in China and the United States by number of publications
Rank	Institution	Country	TP	TC	AC (%)	TLS
1	Chinese Acad Sci	China	180	3695	7.21	223
2	Tsinghua Univ	China	112	3750	4.48	117
3	Carnegie Mellon Univ	USA	84	6580	3.36	48
4	MIT	USA	79	3617	3.16	59
5	Univ Texas Austin	USA	66	1601	2.64	71
6	China Univ Petr	China	61	805	2.44	51
7	Univ Calif Berkeley	USA	60	3854	2.40	76
8	Stanford Univ	USA	49	3137	1.96	78
9	Princeton Univ	USA	49	2772	1.96	51
10	Univ Chinese Acad Sci	China	48	789	1.92	84
11	China Univ Min&Technol	China	48	725	1.92	43
12	North China Elect Power Univ	China	47	601	1.88	65
13	Tianjin Univ	China	47	995	1.88	43
14	Dalian Univ Technol	China	42	545	1.68	22
15	China Univ Geosci	China	39	563	1.56	66
16	Los Alamos Natl Lab	USA	38	1210	1.52	15
17	Beijing Inst Technol	China	37	833	1.48	19
18	Zhejiang Univ	China	37	1199	1.48	11
19	US DOE	USA	37	765	1.48	9
20	Columbia Univ	USA	37	1904	1.44	47
Note: TP indicates the total number of papers published. TC indicates the total number of citations. AC (%) represents the institution's contribution rate. TLS represents the full strength of ties between institutions.

Meanwhile, as shown in Fig. 4. The number of articles published by the top six institutions in China and the United States offers a fluctuating growth trend, especially after 2005, when it started to grow faster. Chinese institutions overtook U.S. institutions around 2010. Three top 6 institutions are from China: Chinese Acad Sci, Tsinghua University, and China Univ Petr, and three from the US: Carnegie Mellon Univ, MIT, and Univ Texas Austin. Among them, Chinese Acad Sci had the fastest growth from 2011–2021, with 160 publications, accounting for 88.9% of the total publications of this institution. Chinese Acad Sci was also one of the first institutions to enter the field of CCUS-related research and published the first academic paper on CCUS technology research in China in 2004. It shows that the institution is at the forefront of CCUS research. As a world-renowned university, Tsinghua University has strong basic strength in scientific research. China Univ Petr, a famous university in the field of petroleum, has a particular influence on the engineering application of CCUS technology. From the figure, the research results related to CCUS technology were published by Carnegie Mellon Univ and MIT in 2001, respectively. And they have been in the leading position during 2000–2010 and keep rising at a specific rate. As the world's top academic institutions, they have some influence in the field of CCUS. However, the development in CCUS research is slower compared to China.

As the most important research institutions and universities in China and the U.S., These institutions have published very influential articles in CCUS-related fields, which have extensively promoted research in CCUS-related areas in both countries. In the future, both countries will have great potential for cooperation and development in CCUS technology development and innovation, large-scale promotion and application, and talent training.

3.4 Co‑author network analysis

Authors are the main body of scientific research, and the number of publications and citation attributes is commonly used to measure authors' research ability and academic influence. Author collaboration networks can clarify the core figures in scientific research fields and the collaboration and cross-citation relationships among different scholars. In this paper, we used VOSviewer software to map the knowledge of authors and teams in the field of CCUS in China and the United States during 2000–2022 (Fig. 5). This paper counted the information of the top 20 authors in terms of several publications as shown in Table 3. The ranking is based on the total number of publications by the authors. As can be seen from Table 3, among the top 20 authors in terms of the number of publications, there are 10 Chinese and 10 American scholars, and the top 5 authors in the CCUS research field in the United States are Rubin ES, Middleton RS, Zhai HB, Herzog HJ, and Bielicki JM. The top 5 authors in the field of CCUS research in China are Zhang X, Li Q, Li XC, Song YC, and Deng S. Rubin ES from Carnegie Mellon University published the most articles. There are 29 publications. This was followed by Middleton RS from Los Alamos Natl Lab and Carbon Solut LLC, with 28 publications. In fourth place is Zhang X from Minist Sci & Technol Most and Li Q from the Institute of Rock and Soil Mechanics in China, with 24 publications. In fifth place is Li XC, also from the Institute of Rock and Soil Mechanics in China, with 22 publications. Regarding the number of citations, Professor Rubin ES, also from the United States, ranked first with 2766 citations. They were followed by Herzog HJ (Massachusetts Institute of Technology, 1324), van Vuuren DP (Utrecht University, 1171), Middleton RS (Los Alamos Natl Lab and Carbon Solut LLC, 1138), Benson SM (Stanford University, 936), all from the United States. Li Q is China's most frequently cited scholar (Institute of Rock and Soil Mechanics, CAS, 724). It can be seen that American scholars have a more significant influence in the field of CCUS.

Regarding the H-index, Professor Van Vuuren, DP from Utrecht University in the United States, had the highest H-index of 93. The scholar's research interests focus on climate change, environmental science, and global sustainable development, and he has published a series of academic results (Biermann et al. 2022, Schweizer et al. 2020). Professor Wei YM (73) from the Beijing Institute of Technology in China is second. His research interests are energy and environmental policy (Kang et al. 2021, Li et al. 2022). Second, Professor Song YC from the Dalian University of Technology in China, whose H-index is 53, mainly focuses on carbon dioxide sequestration and resource utilization (Cheng et al. 2022, Liu et al. 2022a). And Professor Michael A. C from Princeton University in the United States, whose H-index reached 50. He has made significant contributions to flow in porous media, carbon storage, and numerical methods. Leon C (47) from the University of Maryland in the USA is in fifth place. His research interests are climate change, energy technology selection, and integrated assessment modeling. He is also currently the lead author of the IPCC Sixth Assessment Report Coordination (Ou et al. 2021, Yu et al. 2019). It can be found that both Chinese and American scholars have made significant contributions to the field of CCUS research. Still, American scholars have more significant academic influence between China and the United States.

Table 3

The top 20 authors in terms of number of articles published in China and the USA
Rank	Author	Institution	country	TP	TC	TLS	H-index
1	Rubin ES	Carnegie Mellon University	USA	29	2766	21	31
2	Middleton RS	Los Alamos Natl Lab and Carbon Solut LLC	USA	28	1138	51	19
3	Zhang X	Minist Sci & Technol Most	China	24	593	61	15
4	Li Q	Institute of Rock and Soil Mechanics, CAS	China	24	724	26	25
5	Li XC	Institute of Rock and Soil Mechanics, CAS	China	22	318	38	24
6	Zhai HB	Carnegie Mellon University	USA	18	689	15	19
7	Herzog HJ	Massachusetts Institute of Technology	USA	17	1324	16	23
8	Song YC	Dalian University of Technology	China	17	251	49	53
9	Deng S	Tianjin University	China	16	340	39	29
10	Wei YM	Beijing Institute of Technology	China	15	309	24	73
11	Li Z	Tsinghua University	China	15	509	24	43
12	Bielicki JM.	The Ohio State University	USA	15	635	23	23
13	Chen WY	Tsinghua University	China	14	682	8	27
14	van Vuuren DP	Utrecht University	USA	13	1171	43	93
15	Michael A. C	Princeton University	USA	13	614	11	50
16	Zhu L	Nanjing University of Information Science & Technology	China	13	53	29	27
17	Fan JL	China University of Mining & Technology, Beijing	China	13	283	39	28
18	Leon C	University of Maryland	USA	12	831	34	47
19	Benson SM	Stanford University	USA	12	936	2	36
20	Wilson EJ	Dartmouth College	USA	11	325	15	23
Note: TP indicates the total number of papers published. TC indicates the total number of citations. TLS represents the total link strength among authors. The H-index indicates that a researcher has at most H papers cited at least H times each. The higher the h-index, the more influential his papers are.

Fig. 5 shows the critical scholars and major collaborative networks in the field of CCUS technology in China and the United States during 2000-2022. For example, Li XC and Li Q from the Institute of Rock and Soil Mechanics, CAS, and Wang YS from China Shenhua Group Corporation have formed a collaborative team to study geological storage and utilization of CO₂, carbon neutral theory, technology, and engineering applications (Wang et al. 2021, Xu et al. 2019). A collaborative group, mainly consisting of Song YC from the Dalian University of Technology, focuses on new technologies for CO₂ resource utilization and oil and gas extraction (Lu et al. 2022). Another group of collaborators mainly consists of Deng S from Tianjin University, focusing on CO₂ capture technology (Li et al. 2021). In addition, Fan, JL, and Zhang X have contributed to the CCUS source-sink matching model (Fan et al. 2021) and LI Z to CO₂ capture (Yang et al. 2022).

As seen in Fig. 5b, the United States CCUS research area collaboration teams are clustered in the following groups. The research team of Professor Rubin ES from Carnegie Mellon University focuses on CCS economic evaluation and policy (Roussanaly et al. 2021, Rubin et al. 2015). A research group consisting of Middleton RS from Los Alamos Natl Lab and Carbon Solut LLC has made contributions to CCS energy system optimization, numerical simulation, and fundamental architecture research (Middleton &Bielicki 2009, Middleton &Yaw 2018). Another collaborative group is composed of Prof. van Vuuren DP from Utrecht University. As described earlier, this scholar contributes significantly to studying climate change and global sustainability. This shows the efforts and contributions of many scholars and teams in the field of CCUS in China and the United States during the period 2000-2022. They are the most productive and influential authors and groups in the field of CCUS research.

Similarly, the number of highly cited papers is a crucial indicator of impact. Usually, the more awarded a piece is, the more recognized it is by the academic community. Table 4 shows the top 10 highly cited articles in the field of CCUS between China and the United States during 2000–2022, the United States has 7 out of 10 studies, and China has only 3. It can be seen that there is a gap between China and the United States in the field of CCUS, and the United States has more influence in CCUS.

Table 4

Top 10 highly cited articles in the CCUS field in the US and China from 2000 to 2022
Author	TC	Journal	Country	Research direction
Rao and Rubin (2002)	1334	Environmental Science & Technology	USA	Engineering; Environmental Sciences & Ecology
McDonald et al. (2015)	767	Nature	USA	Science & Technology
Zhang et al. (2014)	607	Energy & Environmental Science	China	Chemistry; Energy & Fuels; Engineering; Environmental Sciences & Ecology
Rubin et al. (2007)	519	Energy Policy	USA	Geochemistry & Geophysics; Mineralogy
Benson andCole (2008)	491	Elements	USA	Chemistry; Energy & Fuels; Engineering; Environmental Sciences & Ecology
Presser et al. (2011)	460	Energy & Environmental Science	USA	Science & Technology
Guan et al. (2008)	459	Global Environmental Change-Human and Policy Dimensions	China	Environmental Sciences & Ecology; Geography
Zoback andGorelick (2012)	434	PNAS	USA	Science & Technology
Rubin et al. (2015)	432	International Journal of Greenhouse Gas Control	USA	Science & Technology; Energy & Fuels; Engineering
Lin et al. (2012)	425	Nature Materials	China	Chemistry; Materials Science; Physics
Note: TC indicates the total number of citations.

3.5 Research Hotspots and Topic Clustering Analysis

3.5.1 Research Hotspots

Keywords are the core content of literature research, which can analyze the evolution pattern of research themes, research hotspots, and future directions (Tian et al. 2018)。On the other hand, keyword clustering analysis can present the differences and connections between topics, thus identifying the knowledge communities in a particular research area (Yao et al. 2020). In this paper, through data cleaning and synonym conversion of keywords, and after screening and sorting, the frequency of keywords in the field of CCUS in China and the United States was thus counted and analyzed (Table 5). Table 5 shows the top 15 high-frequency keywords in the field of CCUS in China and the United States during 2000–2021, which reflect the evolution of the thematic pulse of the area over the past 20 years. It can be seen that “CO₂ capture” as the keyword of this study appears 528 times in China and 450 times in the United States. It occupies a central and intermediary role. CO₂ storage, CO₂ emission, flue gas, cost, model, and climate change are also the most frequently reported keywords in China and the United States, which are hot words in the CCUS field. This indicates that the research hotspots in the field of CCUS in both China and the United States show diversity and differentiation, and the variety is reflected in the fact that they involve not only various technical studies but also climate change, application areas, numerical simulation, model construction, cost analysis, and other fields. The differences are reflected in the fact that the Chinese CCUS field emphasizes the application of CO₂ utilization technologies in the coal sector. At the same time, the United States shows more attention in the field of CO₂-EOR. The United States received the world's first patent for CO₂-EOR in 1952 and has been actively deploying the technology worldwide. It also represents the United States' leadership in the field (Llamas et al. 2016). In addition, studies have shown that CO₂ utilization is considered an essential factor in driving the future scale-up of CCUS technology (Zhang et al. 2020).

Table 5

Top 15 high-frequency keywords in China and the United States
China			United States
Rank	Keywords	Frequency	Rank	Keywords	Frequency
1	CO₂ capture	528	1	CO₂ capture	450
2	CO₂ storage	339	2	CO₂ storage	386
3	Carbon dioxide	286	3	carbon dioxide	280
4	CCS	199	4	CCS	229
5	CO₂ emission	113	5	CO₂ geological storage	123
6	CO₂ geological storage	109	6	climate change	107
7	flue gas	108	7	CO₂ emission	103
8	adsorption	109	8	energy	100
9	China	94	9	cost	88
10	model	81	10	technology	88
11	CCUS	68	11	system	83
12	simulation	66	12	flue gas	78
13	energy	65	13	model	76
14	coal	58	14	impact	56
15	cost	52	15	CO₂ transport	55

3.5.2 Topic Clustering Analysis

To better present the research themes in the field of CCUS in China and the United States, this paper uses Citespace software to perform a cluster analysis of Chinese CCUS keywords (Fig. 6). Each cluster is composed of multiple closely related keywords, which are collated to form Table 6 and Table 7. The Q values in Table 6 and Table 7 are greater than 0.3, indicating significant clustering institutions. The S values are greater than 0.7, showing convincing clustering.

Combining Table 6 and Fig. 6a, it can be seen that the thematic clustering in the field of CCUS in China over the past 20 years mainly includes: #0 enhanced gas recovery, #1 coal-fired power plants, #2 dioxide capture, #3 power sector, #4 calcium carbonate, #5 numerical simulation, #6 CO₂ absorption, #7 supercritical CO₂, #8 chemical looping combustion, #9 life cycle assessment.

Topics #1 and #3 are industries where CCUS technology research is focused on applications. As coal-fired power plants are major carbon emitters, more and more domestic companies are using CCUS technology to address carbon emissions in critical areas, such as the National Energy Group, which has built the largest CCUS complete process demonstration project for coal-fired power plants in China. CCUS technology is superior in reducing emissions in the power industry and is considered one of the essential options for China to achieve profound carbon reduction in the power sector. In the future, CCUS technology will play a more critical role in crucial carbon emissions industries such as power plants, steel, and cement (Fan et al. 2022, Wei et al. 2021).

Topics #2, #4, #6, and #8 are all related to CO₂ capture technology, which is the most important technical component of CCUS technology. Depending on the capture mechanism, CO₂ capture technology can be divided into several categories: chemical absorption, physical absorption, physical adsorption, membrane separation, deep cooling separation, etc. Chemical absorption and physical absorption methods are relatively the most mature and have been widely used in the chemical industry (Lee &Park 2015, Wilberforce et al. 2021).

Topic #7 mainly deals with research related to carbon dioxide transport. As the pipeline is an economical and convenient transportation mode, it has excellent advantages in carbon dioxide transport of CCUS projects and is also an area of more current research (Lu et al. 2020).

Topics #0, #5, and #9 are standard research methods and application scenarios for CCUS, especially in the CO₂ storage and CO₂ utilization phase, and are often used to improve CO₂ oil recovery rates (Cruz et al. 2021, Haro et al. 2018).

Table 6

Topic clustering and significant keywords in the field of CCUS in China during 2000–2022
Rank	Q	S	Cluster name	Cluster name main keywords
#0	0.82	0.91	enhanced gas recovery	enhanced gas recovery; numerical simulation; permeability; fluid
#1	0.82	0.88	coal-fired power plants	flue gas; combustion; emission reduction; dissolution; chemical absorption; decomposition; coal phase-out
#2	0.82	0.90	dioxide capture	gas adsorption; competitive adsorption; sorbent; bituminous coal; natural gas hydrate; methane; nitrogen; membrane
#3	0.82	0.92	power sector	coal; electricity; adsorbent; coal-ired; power industry; coal gasication; power to gas; energy eiciency; polyeneration system; cogeneration
#4	0.82	0.95	calcium carbonate	CO₂ uptake; pulverized coal; particle size
#5	0.82	0.88	numerical simulation	CO₂ geological storage; CO₂-EOR; equation; feasibllity
#6	0.82	0.87	CO₂ absorption	biphasic solvent; absorbent; cyclopentane; ethylenediamine
#7	0.82	0.87	supercritical CO₂	pipeline; CO₂ monitoring; carbon dioxide corrosion; corrosion mechanism; pore size distribution
#8	0.82	0.83	chemical looping combustion	fuel; heat; fluidized bed reactor; pre combustion capture
#9	0.82	1.00	life cycle assessment	Conversion; CO₂ capture and conversion; carbon dioxide utilization; climate
Note: Modularity (Q value) indicates the modularity value of the clusters, and it is generally considered that Q > 0.3 means that the clustering structure is significant. Silhouette (S value) indicates the average contour value of clusters, and it is generally considered that S > 0.5 clusters are reasonable, and S > 0.7 means that the clusters are convincing.

Combined with what is known from Table 7 and Fig. 6b, it can be found that the US CCUS domain theme clusters mainly include: #0 solid sorbent, #1 risk assessment, #2 energy systems, #3 numerical modeling, #4 CO₂ capture, #5 climate change, #6 techno-economic analysis, #7 air separation, #8 carbon capture and storage, #9 enhanced oil recovery.

Topic #1 is mainly related to CO₂ injection, geological storage, CO₂ leakage, and CO₂ monitoring. Risk assessment and monitoring of CCUS technology is a critical research task regarding risk assessment before CO₂ injection and risk liability issues after long-term storage (Balch &McPherson, 2022).

Topic #0, #4, and #7 are mainly related to CO₂ capture technology research. For CO₂ capture technology, more and more scholars have begun to research direct air capture technology. This technology can remove CO₂ from the air environment using absorbers and is considered a new generation of CO₂ capture technology (Madhu et al. 2021, Ozkan et al. 2022).

Topics #3 and #9 contain keywords such as Monte Carlo, Bayesian inference, and CO₂-EOR. The current hot area studies simulate and optimize CO2 utilization and geological storage for enhanced recovery of depleted reservoirs using numerical simulation and other methods (Safi et al. 2016).

Topics #2, #5, #6, and #8 mainly include climate change, energy systems, techno-economic analysis, etc. The economic analysis and business model design of CCUS is a hot topic of current research in the field of CCUS and one of the constraints that limit the scale-up of CCUS (Ren et al. 2022, Singh &Colosi 2021, Sullivan et al. 2020).

Based on the differences in the national conditions of the two countries, it can be seen that there are some differences in the clustering of CCUS keyword topics between China and the United States, and the focus of research in the two countries has its emphasis. Therefore, to promote the rapid development of this field, cooperation and communication between the two countries in the field of CCUS technology should be strengthened in the future.

Table 7

Topic clustering and significant keywords in the field of CCUS in the United States during 2000–2022
Rank	Q	S	Cluster name main keywords	Cluster name main keywords
#0	0.77	0.88	solid sorbent	activated carbon; ionic liquid; mesoporous silica; graphene; CO₂ capture technology; CO₂ adsorption; porous carbon; calcium carbonate
#1	0.77	0.96	risk assessment	risk analysis; monitoring; CO₂ leakage; deep leaming; CO₂ injection; risk perception
#2	0.77	0.89	energy systems	Scenario; climate change mitigation; integrated assessment model; energy transition
#3	0.77	0.91	numerical modeling	capacity estimation; numerical modeling; monte carlo; bayesian inference
#4	0.77	0.92	CO₂ capture	gas combined cycle; sorbent; direct air capture;
#5	0.77	0.93	climate change	Climate; energy technology; negative emission technology; carbon management; CO₂ mitigation; carbon constraint
#6	0.77	0.86	techno-economic analysis	economic analysis; technoeconomic analysis; technoeconomic assessment; investment; cost; carbon sequestration cost; technoeconomic assessment
#7	0.77	0.88	air separation	CO₂ adsorption; ionic liquid; solid sorbent; direct air capture
#8	0.77	0.99	carbon capture and storage	CO₂ capture and storage; capital intensive energy technology; system; environmental policy
#9	0.77	0.87	enhanced oil recovery	CO₂-EOR; performance; capacity; CO₂ storage efficiency
Note: Same as Table 6.

3.6 Analysis of the temporal evolution of research themes

Time evolution analysis can reveal the development history of the CCUS field, keep abreast of the frontier areas of research, and help grasp future research and development trends in the subject area. In this paper, we use CiteSpace software to map the evolution of keyword co-occurrence time zones, focusing on expressing the interconnection and influence between clusters. The literature information was processed and imported into CiteSpace software to generate a map of the evolution of CCUS time zones in China and the United States, as shown in Fig. 7, to visualize the development of terminology at the frontier of research in the field of CCUS in China and the United States.

As shown in Fig. 7a, from 2004 to 2008, CCUS-related research in China was relatively homogeneous, focusing mainly on CO₂ capture and CO₂ storage. CCUS-related research in China started as early as 2004 with a larger circle of CO₂ capture and storage, indicating that they have been one of the hot topics of research in the field of CCUS until now. CCUS research has grown rapidly during the period 2009–2018. In this period, there are hot spots of study such as CO₂ geological storage, CO₂ capture and storage, cost, flue gas, supercritical CO₂, power plant, system, etc. It is not difficult to find that the research of CCUS has been diversified and interdisciplinary. From 2019 to 2022, with the proposal of China achieving a carbon peak before 2030 and achieving carbon neutrality before 2060, keywords such as carbon neutrality began to appear and have become hot words in the development of the Chinese era. With the future development of crucial carbon-neutral emission reduction technologies, CCUS technology will usher in significant opportunities.

As can be seen from Fig. 7b, during 2004–2008, the field of CCUS in the United States focused on CO₂ storage, CO₂ capture, CO₂ capture and storage, climate change, CO₂ emissions, and CO₂ transportation during that period. It can be found that the United States research is earlier and more prosperous than that of China. During 2009–2018, the focus started on topics such as life cycle assessment, techno-economic analysis, uncertainty, simulation, supercritical CO₂, optimization, leakage, and biomass, which are the hot research topics in the field of CCUS in the United States at that stage. During 2019–2022, the application of machine learning in the field of CCUS has become a focus of attention for US scholars.

It can be seen that although the research hotspots of China and the United States are not entirely the same in different stages. However, both show that the research related to CCUS shows a trend that the research on CCUS theory is becoming more and more systematic, and the depth and breadth of the study are increasing. It has developed from a single technology to full-chain and multidisciplinary research on CCUS. More and more scholars from different disciplinary backgrounds have started to pay attention to and engage in research in this field.

In addition, the CiteSpace software provides an emergent term detection function. Emergent terms refer to terms that appear more often or with higher frequency in a shorter period, and the frontier and trend of the research field can be judged according to the word frequency change of emergent terms, which is suitable for examining emerging trends and sudden changes in the development of disciplines. As shown in Fig. 8. From Fig. 8a, it can be seen that the keyword proliferation point of China's CCUS field research started in 2004, and the change of each keyword proliferation varies. The most vigorous emergent intensity in China is CO₂ geological storage, with a strength value of 9.54, which appears more frequently between 2014 and 2017. It indicates that Chinese scholars highly valued this keyword during this period. Secondly, Chinese scholars have received much attention from keywords such as supercritical CO₂, numerical simulation, price, uncertainty, and real options. The burst intensity has been maintained at a high level since 2014. However, as CCUS technology evolves and new issues arise, the attention to these keywords has declined. The keywords of stability and deployment will be emphasized from 2020 onwards. It is foreseen that CCUS technology with maturity and strength will be deployed on a large scale in crucial emission reduction industries in the future to achieve the goal of carbon neutrality.

As can be seen from Fig. 8b, the sudden increase of keywords in the CCUS field in the United States began in 2000, earlier than that in China. The most muscular emergent strength is LCA, with a strength value of 5.69, mainly active during 2018–2022. It indicates that this keyword is a crucial area of interest for United States scholars in CCUS. Secondly, the keywords of commercial readiness technology, flue gas, CO₂ transportation, renewable energy, and climate change are also the focus of American scholars. The research has been conducted since 2004, and the attention started to decrease until 2020. However, it can be seen that with the continuous development and improvement of CCUS technology, life cycle assessment, negative emission technology, and techno-economic analysis will be the areas that US scholars will focus on in the future.

In conclusion, in the face of intensifying global greenhouse gas emissions, scholars from various countries will pay more and more attention to the R&D and application of CCUS-related technologies, especially the development of new generation technologies and the generation of disruptive technologies. This will significantly promote the development of this technology.

Based on the literature data of the Web of Science core database, this paper used bibliometric tools such as CiteSpace and VOSviewer to conduct statistical analysis and literature mining of CCUS-related literature in China and the United States from 2000 to 2022. By comparing the differences and connections between Chinese and American CCUS technology in the development process, cooperative institutions and teams, hot spots, and future directions, this paper comprehensively analyzes and sorts out the development characteristics and research trends of CCUS in China and the United States. This study provides a new understanding of CCUS technology development in China and the United States. This work shows that research in the CCUS field has become more in-depth in China and the United States over the past two decades.

Regarding the overall trend, CCUS research in China and the United States shows an upward trend, roughly divided into three stages. They are the slow growth stage (2000–2008), rapid rise stage (2009–2018), and vigorous development stage (2019-present). Studies have shown that the United States research in the field of CCUS is earlier than in China. Although the United States ranks first in the number of publications worldwide. However, the number of publications in China in the field of CCUS started to surpass the United States and continues to date after 2016. It shows that China and the United States are fundamental forces in CCUS research. As China and the United States attach great importance to climate change, the literature published in the field of CCUS will experience explosive growth in the future. In addition, in terms of journal and discipline distribution, core journals in environmental science and energy technology, such as the International Journal of Greenhouse Gas Control, Applied Energy, Energy, Environmental Science & Technology, and Energy Policy, showed greater interest in CCUS technology. The results show that the CCUS technology has evolved from a relatively single technology in the early days to a comprehensive multidisciplinary cross-fertilization study. It involves the fields of Engineering, Energy and Fuels, Environmental Science and Ecology, Chemistry, Materials Science, Business and Economics, Geology, etc.

Regarding the number of institutions publishing in the CCUS field, 11 of the top 20 institutions are from China, and 9 are from the United States. These institutions issued a total of 1197 articles, accounting for 47.92% of the total number of publications, with Chinese Acad Sci ranking first in terms of the number of articles published. Chinese institutions ranked first in terms of performance regarding the number of articles published. United States institutions fared better in total article citations, with Carnegie Mellon University ranking first with 6,580 citations. At the same time, American scholars have more impact factors and more highly cited papers than China. As can be seen, both China and the United States have made outstanding contributions to the field of CCUS and have had a profound impact on the global CCUS field.

However, in terms of academic impact, American institutions and scholars have more significant influence than China. In the future, cooperation between institutions and teams in both countries should be strengthened to promote learning exchange and diversification between groups. Based on the cluster analysis of the literature, it is concluded that the research themes in the field of CCUS in China and the United States focus on CO₂ capture, CO₂ geological storage, CO₂ emission, flue gas, model, climate change, numerical simulation, model construction, cost analysis, etc., which are the hot spots of research in the past 20 years. It also includes the areas of risk assessment and monitoring caused by CO₂ leakage, public awareness of CCUS economic evaluation and business model design, and policy incentives. Timeline analysis and frontiers show that research hotspots in the field of CCUS in China and the United States exhibit diversity and differentiation. Based on the differences between the two countries, the research priorities in the area of CCUS in China and the United States have their focus. To promote the rapid development of this field, it is recommended to strengthen the exchange of academic activities and talent cultivation in the field of CCUS technology in both countries.

In the future, the research focus in this field should be to strengthen the research and innovation of cutting-edge and disruptive technologies, especially the study and application of the new generation of low energy consumption and low-cost carbon capture technology and new carbon capture materials. We should strengthen interdisciplinary integration and break the bottleneck of cutting-edge technologies such as carbon dioxide utilization and new energy development. To improve energy efficiency and reduce the cost of CCUS technology throughout its life cycle, cross-industry and cross-domain coupling optimization and comprehensive integration of CCUS technology and other carbon emission reduction technologies are carried out. At the same time, it is necessary to establish a method system that can monitor, measure, and verify carbon emission and carbon storage in the whole CCUS process as soon as possible. Improve the CCUS technology standard system and formulate incentive policies to promote the technology research and development and demonstration application. It is foreseeable that as global ecological and environmental problems become more and more prominent, the research hotspots of CCUS technology will further increase, and the research perspectives and disciplinary fields will continue to expand.

Acknowledgments

Thanks to anonymous peer reviewers for their helpful comments.

Funding

We appreciate the publication of this article by the funding support from the National Nature Science Foundation in China, No. 71871151.References.

Author contribution

Peng Wu carried out the conception and design of this study, Shansen Wei and Jianghui Du carried out the material preparation and data processing, and the draft of the paper was written by Qiang Ren. Peng Wu was responsible for providing financial support and revisions. All authors carefully revised and commented on the manuscript. All authors read and approved the final manuscript.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Data availability

All data included in this study are available by contacting the corresponding author upon request.

Ethics approval: Not applicable.

Consent to participate: Not applicable.

Consent for publication: Not applicable.

Conflict of interest: The authors declare no competing interests.

Allen MR, Frame DJ, Huntingford C, Jones CD, Lowe JA, Meinshausen M, Meinshausen N (2009): Warming caused by cumulative carbon emissions towards the trillionth tonne. Nature 458, 1163-1166
Balch R, McPherson B (2022): Associated Storage With Enhanced Oil Recovery: A Large‐Scale Carbon Capture, Utilization, and Storage Demonstration in Farnsworth, Texas, USA. Geophysical Monitoring for Geologic Carbon Storage, 343-360
Benson SM, Cole DR (2008): CO2 sequestration in deep sedimentary formations. Elements 4, 325-331
Beusch L, Nauels A, Gudmundsson L, Gütschow J, Schleussner C-F, Seneviratne SI (2022): Responsibility of major emitters for country-level warming and extreme hot years. Commun Earth Environ 3, 1-7
Biermann F, Hickmann T, Sénit C-A, Beisheim M, Bernstein S, Chasek P, Grob L, Kim RE, Kotzé LJ, Nilsson M, Ordóñez Llanos A, Okereke C, Pradhan P, Raven R, Sun Y, Vijge MJ, van Vuuren D, Wicke B (2022): Scientific evidence on the political impact of the Sustainable Development Goals. Nat Sustain
Camana D, Manzardo A, Toniolo S, Gallo F, Scipioni A (2021): Assessing environmental sustainability of local waste management policies in Italy from a circular economy perspective. An overview of existing tools. Sustain Prod Consump 27, 613-629
Chapman AR, Ahmed AK (2021): Climate Justice, Humans Rights, and the Case for Reparations. Health Hum Rights 23, 81
Chen C (2017): Science mapping: a systematic review of the literature. Journal of data and information science 2, 1-40
Chen H, Sun J (2017): Anthropogenic warming has caused hot droughts more frequently in China. J Hydrol 544, 306-318
Cheng Z, Shaohua L, Liu Y, Zhang Y, Ling Z, Yang M, Jiang L, Song Y (2022): Post-combustion CO2 capture and separation in flue gas based on hydrate technology：A review. Renew Sust Energ Rev 154, 111806
Concari A, Kok G, Martens P (2022): Recycling behaviour: Mapping knowledge domain through bibliometrics and text mining. J Environ Manage 303, 114160
Cruz TTd, Perrella Balestieri JA, de Toledo Silva JM, Vilanova MRN, Oliveira OJ, Ávila I (2021): Life cycle assessment of carbon capture and storage/utilization: From current state to future research directions and opportunities. Int J Greenh Gas Con 108, 103309
de Kleijne K, Hanssen SV, van Dinteren L, Huijbregts MAJ, van Zelm R, de Coninck H (2022): Limits to Paris compatibility of CO2 capture and utilization. One Earth 5, 168-185
Donthu N, Kumar S, Mukherjee D, Pandey N, Lim WM (2021): How to conduct a bibliometric analysis: An overview and guidelines. J Bus Res 133, 285-296
Ellegaard O, Wallin JA (2015): The bibliometric analysis of scholarly production: How great is the impact? Scientometrics 105, 1809-1831
Fan J-L, Li Z, Li K, Zhang X (2022): Modelling plant-level abatement costs and effects of incentive policies for coal-fired power generation retrofitted with CCUS. Energ Policy 165, 112959
Guan D, Hubacek K, Weber CL, Peters GP, Reiner DM (2008): The drivers of Chinese CO2 emissions from 1980 to 2030. Global Environ Chang 18, 626-634
Haro HAV, de Paula Gomes MS, Rodrigues LG (2018): Numerical analysis of carbon dioxide injection into a high permeability layer for CO2-EOR projects. J Petrol Sci Eng 171, 164-174
Hasan MMF, First EL, Boukouvala F, Floudas CA (2015): A multi-scale framework for CO2 capture, utilization, and sequestration: CCUS and CCU. Comput Chem Eng 81, 2-21
He X, Yu D (2020): Research trends in life cycle assessment research: A 20-year bibliometric analysis (1999–2018). Environ Impact Asses 85, 106461
International Energy A (2020): Energy Technology Perspectives 2020-Special Report on Carbon Capture Utilisation and Storage: CCUS in Clean Energy Transitions. OECD Publishing
Jiang K, Ashworth P (2021): The development of Carbon Capture Utilization and Storage (CCUS) research in China: A bibliometric perspective. Renew Sust Energ Rev 138, 110521
Kang J-N, Wei Y-M, Liu L-c, Wang J-W (2021): Observing technology reserves of carbon capture and storage via patent data: Paving the way for carbon neutral. Technological Forecasting and Social Change 171, 120933
Kang X, Wang M, Lin J, Li X (2022): Trends and status in resources security, ecological stability, and sustainable development research: a systematic analysis. Environ Sci Pollut R 29, 50192-50207
Lee S-Y, Park S-J (2015): A review on solid adsorbents for carbon dioxide capture. J Ind Eng Chem 23, 1-11
Li H, Jiang H-D, Yang B, Liao H (2019): An analysis of research hotspots and modeling techniques on carbon capture and storage. Sci Total Environ 687, 687-701
Li J, Wei Y-M, Liu L, Li X, Yan R (2022): The carbon footprint and cost of coal-based hydrogen production with and without carbon capture and storage technology in China. J Clean Prod 362, 132514
Lin L-C, Berger AH, Martin RL, Kim J, Swisher JA, Jariwala K, Rycroft CH, Bhown AS, Deem MW, Haranczyk M (2012): In silico screening of carbon-capture materials. Nat Mater 11, 633-641
Liu S, Yuan L, Liu W, Zhao C, Zhang Y, Song Y (2022a): Study on the influence of various factors on dispersion during enhance natural gas recovery with CO2 sequestration in depleted gas reservoir. J Nat Gas Sci Eng 103, 104644
Liu W, Li X, Wang M, Liu L (2022b): Research trend and dynamical development of focusing on the global critical metals: a bibliometric analysis during 1991–2020. Environ Sci Pollut R 29, 26688-26705
Llamas B, Navarrete B, Vega F, Rodriguez E, Mazadiego LF, Cámara Á, Otero P (2016): Greenhouse gas emissions–carbon capture, storage and utilisation. Greenh Gases 81
Lu H, Ma X, Huang K, Fu L, Azimi M (2020): Carbon dioxide transport via pipelines: A systematic review. J Clean Prod 266, 121994
Lu Y, Wang H, Li Q, Lv X, Ge Y, Zhang L, Zhao J, Yang L, Song Y (2022): CO2 storage behavior via forming hydrate from N2/CO2 gas mixtures in the presence of initial SI CO2 hydrate seeds. Chem Eng J 450, 138001
Madhu K, Pauliuk S, Dhathri S, Creutzig F (2021): Understanding environmental trade-offs and resource demand of direct air capture technologies through comparative life-cycle assessment. Nat Energy 6, 1035-1044
Masson-Delmotte V, Zhai P, Pörtner H-O, Roberts D, Skea J, Shukla PR, Pirani A, Moufouma-Okia W, Péan C, Pidcock R (2018): Global warming of 1.5 C. An IPCC Special Report on the impacts of global warming of 1
McDonald TM, Mason JA, Kong X, Bloch ED, Gygi D, Dani A, Crocella V, Giordanino F, Odoh SO, Drisdell WS (2015): Cooperative insertion of CO2 in diamine-appended metal-organic frameworks. Nature 519, 303-308
Middleton RS, Bielicki JM (2009): A scalable infrastructure model for carbon capture and storage: SimCCS. Energ Policy 37, 1052-1060
Middleton RS, Yaw S (2018): The cost of getting CCS wrong: Uncertainty, infrastructure design, and stranded CO2. Int J Greenh Gas Con 70, 1-11
Mongeon P, Paul-Hus A (2016): The journal coverage of Web of Science and Scopus: a comparative analysis. Scientometrics 106, 213-228
Ou Y et al. (2021): Can updated climate pledges limit warming well below 2°C? Science 374, 693-695
Ozkan M, Nayak SP, Ruiz AD, Jiang W (2022): Current status and pillars of direct air capture technologies. Iscience, 103990
Page B, Turan G, Zapantis A, Burrows J, Consoli C, Erikson J, Havercroft I, Kearns D, Liu H, Rassool D (2020): The Global Status of CCS 2020: Vital to Achieve Net Zero.
Presser V, McDonough J, Yeon S-H, Gogotsi Y (2011): Effect of pore size on carbon dioxide sorption by carbide derived carbon. Energ Environ Sci 4, 3059-3066
Rao AB, Rubin ES (2002): A technical, economic, and environmental assessment of amine-based CO2 capture technology for power plant greenhouse gas control. Environ Sci Technol 36, 4467-4475
Ren B, Male F, Duncan IJ (2022): Economic analysis of CCUS: Accelerated development for CO2 EOR and storage in residual oil zones under the context of 45Q tax credit. Appl Energ 321, 119393
Roussanaly S, Berghout N, Fout T, Garcia M, Gardarsdottir S, Nazir SM, Ramirez A, Rubin ES (2021): Towards improved cost evaluation of Carbon Capture and Storage from industry. Int J Greenh Gas Con 106, 103263
Rubin ES, Chen C, Rao AB (2007): Cost and performance of fossil fuel power plants with CO2 capture and storage. Energ Policy 35, 4444-4454
Rubin ES, Davison JE, Herzog HJ (2015): The cost of CO2 capture and storage. Int J Greenh Gas Con 40, 378-400
Safi R, Agarwal RK, Banerjee S (2016): Numerical simulation and optimization of CO2 utilization for enhanced oil recovery from depleted reservoirs. Chem Eng Sci 144, 30-38
Schweizer VJ, Ebi KL, van Vuuren DP, Jacoby HD, Riahi K, Strefler J, Takahashi K, van Ruijven BJ, Weyant JP (2020): Integrated Climate-Change Assessment Scenarios and Carbon Dioxide Removal. One Earth 3, 166-172
Singh U, Colosi LM (2021): The case for estimating carbon return on investment (CROI) for CCUS platforms. Appl Energ 285, 116394
Sullivan M, Rodosta T, Mahajan K, Damiani D (2020): An overview of the Department of Energy's CarbonSAFE Initiative: Moving CCUS toward commercialization. AIChE Journal 66, e16855
Tan H, Li J, He M, Li J, Zhi D, Qin F, Zhang C (2021): Global evolution of research on green energy and environmental technologies: A bibliometric study. J Environ Manage 297, 113382
Tapia JFD, Lee J-Y, Ooi REH, Foo DCY, Tan RR (2018): A review of optimization and decision-making models for the planning of CO2 capture, utilization and storage (CCUS) systems. Sustain Prod Consump 13, 1-15
Tian X, Geng Y, Sarkis J, Zhong S (2018): Trends and features of embodied flows associated with international trade based on bibliometric analysis. Resour Conserv Recy 131, 148-157
Trenberth KE, Dai A, Van Der Schrier G, Jones PD, Barichivich J, Briffa KR, Sheffield J (2014): Global warming and changes in drought. Nat Clim Change 4, 17-22
Van Eck N, Waltman L (2010): Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics 84, 523-538
Wang Y, Li J, Ahmed R (2021): Sequential coupling of thermal module into the reservoir simulator DMflow. Int J Greenh Gas Con 104, 103207
Wei N, Jiao Z, Ellett K, Ku AY, Liu S, Middleton R, Li X (2021): Decarbonizing the Coal-Fired Power Sector in China via Carbon Capture, Geological Utilization, and Storage Technology. Environ Sci Technol 55, 13164-13173
Wilberforce T, Olabi AG, Sayed ET, Elsaid K, Abdelkareem MA (2021): Progress in carbon capture technologies. Sci Total Environ 761, 143203
Xu L, Li Q, Myers M, Chen Q, Li X (2019): Application of nuclear magnetic resonance technology to carbon capture, utilization and storage: A review. J Rock Mech Geotech 11, 892-908
Yan YH, Borhani T, Subraveti G, Pai N, Prasad V, Rajendran A, Nkulikiyinka P, Asibor JO, Zhang Z, Shao D (2021): Harnessing the power of machine learning for carbon capture, utilisation, and storage (CCUS)–a state-of-the-art review. Energ Environ Sci
Yao L, Hui L, Yang Z, Chen X, Xiao A (2020): Freshwater microplastics pollution: Detecting and visualizing emerging trends based on Citespace II. Chemosphere 245, 125627
Yu S, Horing J, Liu Q, Dahowski R, Davidson C, Edmonds J, Liu B, McJeon H, McLeod J, Patel P, Clarke L (2019): CCUS in China’s mitigation strategy: insights from integrated assessment modeling. Int J Greenh Gas Con 84, 204-218
Zeng J, Qu J, Ma H, Gou X (2021): Characteristics and trends of household carbon emissions research from 1993 to 2019: a bibliometric analysis and its implications. J Clean Prod 295, 126468
Zhang Z, Yao Z-Z, Xiang S, Chen B (2014): Perspective of microporous metal–organic frameworks for CO 2 capture and separation. Energ Environ Sci 7, 2868-2899
Zhang Z, Pan S-Y, Li H, Cai J, Olabi AG, Anthony EJ, Manovic V (2020): Recent advances in carbon dioxide utilization. Renew Sust Energ Rev 125, 109799
Zoback MD, Gorelick SM (2012): Earthquake triggering and large-scale geologic storage of carbon dioxide. PNAS 109, 10164-10168

Download PDF

Journal Publication

published 02 Jun, 2023

Read the published version in Environmental Science and Pollution Research →

Version 1

posted

You are reading this latest preprint version

What do we know about research on carbon capture, utilization and storage (CCUS) in China and the United States? Insights from the systematic review

Status:

Journal Publication

Version 1

Abstract

Figures

1 Introduction

2 Methods And Data

2.1 Methods description

3 Result And Discussion

3.1 Temporal analysis

3.2.1 Analysis of journal distribution

3.2.2 Analysis of discipline distribution

3.3 Co‑institution network analysis

3.4 Co‑author network analysis

3.5 Research Hotspots and Topic Clustering Analysis

3.5.1 Research Hotspots

3.5.2 Topic Clustering Analysis

3.6 Analysis of the temporal evolution of research themes

4. Conclusion And Future Recommendations

Declarations

Acknowledgments

Funding

Author contribution

Disclosure statement

Data availability

Ethics approval: Not applicable.

References

Status:

Journal Publication

Version 1