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Wang P, Shi B, Li N, Kang R, Li Y, Wang G, Yang L. CCUS development in China and forecast its contribution to emission reduction. Sci Rep 2023; 13:17811. [PMID: 37857649 PMCID: PMC10587302 DOI: 10.1038/s41598-023-44893-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2023] [Accepted: 10/13/2023] [Indexed: 10/21/2023] Open
Abstract
Nowadays environmental issues have been of great concern to the world, among which the problem of global warming caused by greenhouse gas emissions is particularly prominent. All countries in the Kyoto Protocol and the Paris Agreement have committed to control greenhouse gas emissions, and China, as the largest carbon emitter, has assumed a heavier burden. China has been striving to develop low-carbon technologies such as hydrogen, nuclear, wind, and solar energy, but the most attention should be paid to CCUS, which many scholars have high expectations that CCUS can help China reduce emissions to some extent. Therefore, this paper presents a prediction that CCUS can reduce 3.8% of carbon emissions for China in 2040 when CCUS emission reductions increase at a rate of 30%. The power and chemical industries could reduce carbon emissions by 2.3% and 17.3%, respectively.
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Affiliation(s)
- Pengchen Wang
- School of Economics and Management, Northwest University, Xuefu Avenue No.1, Chang'an District, Xi'an, 710127, China
| | - Beibei Shi
- School of Economics and Management, Northwest University, Xuefu Avenue No.1, Chang'an District, Xi'an, 710127, China.
| | - Nan Li
- School of Economics and Management, Northwest University, Xuefu Avenue No.1, Chang'an District, Xi'an, 710127, China
| | - Rong Kang
- School of Economics and Management, Northwest University, Xuefu Avenue No.1, Chang'an District, Xi'an, 710127, China
| | - Yan Li
- China Energy JinJie Energy Co., Ltd, JinJie Industrial Park, Shenmu, 719319, Yulin, China
| | - Guiwen Wang
- China Energy JinJie Energy Co., Ltd, JinJie Industrial Park, Shenmu, 719319, Yulin, China
| | - Long Yang
- China Energy JinJie Energy Co., Ltd, JinJie Industrial Park, Shenmu, 719319, Yulin, China
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2
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Wang R, Li H, Cai W, Cui X, Zhang S, Li J, Weng Y, Song X, Cao B, Zhu L, Yu L, Li W, Huang L, Qi B, Ma W, Bian J, Zhang J, Nie Y, Fu J, Zhang J, Wang C. Alternative Pathway to Phase Down Coal Power and Achieve Negative Emission in China. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2022; 56:16082-16093. [PMID: 36321829 DOI: 10.1021/acs.est.2c06004] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Although widely recognized as the key to climate goals, coal "phase down" has long been argued for its side effects on energy security and social development. Retrofitting coal power units with biomass and coal co-firing with a carbon capture and storage approach provides an alternative way to avoid these side effects and make deep carbon dioxide emission cuts or even achieve negative emission. However, there is a lack of clear answers to how much the maximum emission reduction potential this approach can unlock, which is the key information to promote this technology on a large scale. Here, we focus on helping China's 4536 coal power units make differentiated retrofit choices based on unit-level heterogeneity information and resource spatial matching results. We found that China's coal power units have the potential to achieve 0.4 Gt of negative CO2 emission in 2025, and the cumulative negative CO2 emission would reach 10.32 Gt by 2060. To achieve negative CO2 emission, the biomass resource amount should be 1.65 times the existing agricultural and forestry residues, and the biomass and coal co-firing ratio should exceed 70%. Coal power units should grasp their time window; otherwise, the maximum negative potential would decrease at a rate of 0.35 Gt per year.
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Affiliation(s)
- Rui Wang
- Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing100084, China
| | - Haoran Li
- Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing100084, China
- China Electric Power Planning & Engineering Institute, Beijing100120, China
- State Key Joint Laboratory of Environment Simulation and Pollution Control (SKLESPC), School of Environment, Tsinghua University, Beijing100084, China
| | - Wenjia Cai
- Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing100084, China
| | - Xueqin Cui
- Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing100084, China
| | - Shihui Zhang
- Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing100084, China
| | - Jin Li
- State Key Joint Laboratory of Environment Simulation and Pollution Control (SKLESPC), School of Environment, Tsinghua University, Beijing100084, China
| | - Yuwei Weng
- Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing100084, China
| | - Xinke Song
- State Key Joint Laboratory of Environment Simulation and Pollution Control (SKLESPC), School of Environment, Tsinghua University, Beijing100084, China
| | - Bowen Cao
- Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing100084, China
| | - Lei Zhu
- Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing100084, China
| | - Le Yu
- Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing100084, China
| | - Wei Li
- Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing100084, China
| | - Lin Huang
- Microsoft Research AI4Science, Beijing100080, China
| | - Binbin Qi
- State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum (Beijing), Beijing102249, China
| | - Weidong Ma
- Microsoft Research Asia, Beijing100080, China
| | - Jiang Bian
- Microsoft Research Asia, Beijing100080, China
| | - Jia Zhang
- Microsoft Research AI4Science, Beijing100080, China
| | - Yaoyu Nie
- Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing100084, China
| | - Jingying Fu
- Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing100101, China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing100049, China
| | - Jiutian Zhang
- Green Development Institute, Beijing Normal University, Beijing100875, China
| | - Can Wang
- State Key Joint Laboratory of Environment Simulation and Pollution Control (SKLESPC), School of Environment, Tsinghua University, Beijing100084, China
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3
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A Review of the Studies on CO2–Brine–Rock Interaction in Geological Storage Process. GEOSCIENCES 2022. [DOI: 10.3390/geosciences12040168] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
CO2–brine–rock interaction impacts the behavior and efficiency of CO2 geological storage; a thorough understanding of these impacts is important. A lot of research in the past has considered the nature and impact of CO2–brine–rock interaction and much has been learned. Given that the solubility and rate of mineralization of CO2 in brine under reservoir conditions is slow, free and mobile, CO2 will be contained in the reservoir for a long time until the phase of CO2 evolves. A review of independent research indicates that the phase of CO2 affects the nature of CO2–brine–rock interaction. It is important to understand how different phases of CO2 that can be present in a reservoir affects CO2–brine–rock interaction. However, the impact of the phase of CO2 in a CO2–brine–rock interaction has not been given proper attention. This paper is a systematic review of relevant research on the impact of the phase of CO2 on the behavior and efficiency of CO2 geological storage, extending to long-term changes in CO2, brine, and rock properties; it articulates new knowledge on the effect of the phase of CO2 on CO2–brine–rock behavior in geosequestration sites and highlights areas for further development.
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Xing X, Wang R, Bauer N, Ciais P, Cao J, Chen J, Tang X, Wang L, Yang X, Boucher O, Goll D, Peñuelas J, Janssens IA, Balkanski Y, Clark J, Ma J, Pan B, Zhang S, Ye X, Wang Y, Li Q, Luo G, Shen G, Li W, Yang Y, Xu S. Spatially explicit analysis identifies significant potential for bioenergy with carbon capture and storage in China. Nat Commun 2021; 12:3159. [PMID: 34039971 PMCID: PMC8154910 DOI: 10.1038/s41467-021-23282-x] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2020] [Accepted: 04/19/2021] [Indexed: 11/08/2022] Open
Abstract
As China ramped-up coal power capacities rapidly while CO2 emissions need to decline, these capacities would turn into stranded assets. To deal with this risk, a promising option is to retrofit these capacities to co-fire with biomass and eventually upgrade to CCS operation (BECCS), but the feasibility is debated with respect to negative impacts on broader sustainability issues. Here we present a data-rich spatially explicit approach to estimate the marginal cost curve for decarbonizing the power sector in China with BECCS. We identify a potential of 222 GW of power capacities in 2836 counties generated by co-firing 0.9 Gt of biomass from the same county, with half being agricultural residues. Our spatially explicit method helps to reduce uncertainty in the economic costs and emissions of BECCS, identify the best opportunities for bioenergy and show the limitations by logistical challenges to achieve carbon neutrality in the power sector with large-scale BECCS in China.
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Affiliation(s)
- Xiaofan Xing
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science and Engineering, Fudan University, Shanghai, China
| | - Rong Wang
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science and Engineering, Fudan University, Shanghai, China.
- IRDR International Center of Excellence on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health (WECEIPHE), Fudan University, Shanghai, China.
- Institute of Atmospheric Sciences, Fudan University, Shanghai, China.
- Center for Urban Eco-Planning and Design, Fudan University, Shanghai, China.
- Big Data Institute for Carbon Emission and Environmental Pollution, Fudan University, Shanghai, China.
- Shanghai Institute of Pollution Control and Ecological Security, Shanghai, China.
| | - Nico Bauer
- Potsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, Potsdam, Germany
| | - Philippe Ciais
- Laboratoire des Sciences du Climat et de l'Environnement, CEA CNRS UVSQ, Gif-sur-Yvette, France
- Climate and Atmosphere Research Center (CARE-C) The Cyprus Institute 20 Konstantinou Kavafi Street, 2121, Nicosia, Cyprus
| | - Junji Cao
- Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
| | - Jianmin Chen
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science and Engineering, Fudan University, Shanghai, China
- IRDR International Center of Excellence on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health (WECEIPHE), Fudan University, Shanghai, China
- Institute of Atmospheric Sciences, Fudan University, Shanghai, China
| | - Xu Tang
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science and Engineering, Fudan University, Shanghai, China
- IRDR International Center of Excellence on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health (WECEIPHE), Fudan University, Shanghai, China
- Institute of Atmospheric Sciences, Fudan University, Shanghai, China
| | - Lin Wang
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science and Engineering, Fudan University, Shanghai, China
| | - Xin Yang
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science and Engineering, Fudan University, Shanghai, China
| | - Olivier Boucher
- Institut Pierre-Simon Laplace, Sorbonne Université/CNRS, Paris, France
| | - Daniel Goll
- Lehrstuhl für Physische Geographie mit Schwerpunkt Klimaforschung, Universität Augsburg, Augsburg, Germany
| | - Josep Peñuelas
- CREAF, Cerdanyola del Vallès, Catalonia, Spain
- CSIC, Global Ecology Unit CREAF-CSIC-UAB, Catalonia, Spain
| | - Ivan A Janssens
- Department of Biology, University of Antwerp, Wilrijk, Belgium
| | - Yves Balkanski
- Laboratoire des Sciences du Climat et de l'Environnement, CEA CNRS UVSQ, Gif-sur-Yvette, France
| | - James Clark
- Department of Chemistry, Green Chemistry Centre of Excellence, The University of York, York, UK
| | - Jianmin Ma
- College of Urban and Environmental Sciences, Laboratory for Earth Surface Processes, Peking University, Beijing, China
| | - Bo Pan
- Faculty of Environmental Science and Engineering, Kunming University of Science and Technology, Kunming, China
| | - Shicheng Zhang
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science and Engineering, Fudan University, Shanghai, China
| | - Xingnan Ye
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science and Engineering, Fudan University, Shanghai, China
| | - Yutao Wang
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science and Engineering, Fudan University, Shanghai, China
| | - Qing Li
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science and Engineering, Fudan University, Shanghai, China
| | - Gang Luo
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science and Engineering, Fudan University, Shanghai, China
| | - Guofeng Shen
- College of Urban and Environmental Sciences, Laboratory for Earth Surface Processes, Peking University, Beijing, China
| | - Wei Li
- Department of Earth System Science, Tsinghua University, Beijing, China
| | - Yechen Yang
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science and Engineering, Fudan University, Shanghai, China
| | - Siqing Xu
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science and Engineering, Fudan University, Shanghai, China
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Lu X, Cao L, Wang H, Peng W, Xing J, Wang S, Cai S, Shen B, Yang Q, Nielsen CP, McElroy MB. Gasification of coal and biomass as a net carbon-negative power source for environment-friendly electricity generation in China. Proc Natl Acad Sci U S A 2019; 116:8206-8213. [PMID: 30962380 PMCID: PMC6486764 DOI: 10.1073/pnas.1812239116] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Realizing the goal of the Paris Agreement to limit global warming to 2 °C by the end of this century will most likely require deployment of carbon-negative technologies. It is particularly important that China, as the world's top carbon emitter, avoids being locked into carbon-intensive, coal-fired power-generation technologies and undertakes a smooth transition from high- to negative-carbon electricity production. We focus here on deploying a combination of coal and biomass energy to produce electricity in China using an integrated gasification cycle system combined with carbon capture and storage (CBECCS). Such a system will also reduce air pollutant emissions, thus contributing to China's near-term goal of improving air quality. We evaluate the bus-bar electricity-generation prices for CBECCS with mixing ratios of crop residues varying from 0 to 100%, as well as associated costs for carbon mitigation and cobenefits for air quality. We find that CBECCS systems employing a crop residue ratio of 35% could produce electricity with net-zero life-cycle emissions of greenhouse gases, with a levelized cost of electricity of no more than 9.2 US cents per kilowatt hour. A carbon price of approximately $52.0 per ton would make CBECCS cost-competitive with pulverized coal power plants. Therefore, our results provide critical insights for designing a CBECCS strategy in China to harness near-term air-quality cobenefits while laying the foundation for achieving negative carbon emissions in the long run.
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Affiliation(s)
- Xi Lu
- State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, 10084 Beijing, People's Republic of China;
- State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Tsinghua University, 10084 Beijing, People's Republic of China
| | - Liang Cao
- State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, 10084 Beijing, People's Republic of China
- State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Tsinghua University, 10084 Beijing, People's Republic of China
- School of Chemical Engineering, The University of Queensland, Brisbane, QLD 4072, Australia
| | - Haikun Wang
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, 210023 Nanjing, People's Republic of China
| | - Wei Peng
- School of International Affairs, Pennsylvania State University, University Park, PA 16802
- Department of Civil and Environmental Engineering, Pennsylvania State University, University Park, PA 16802
| | - Jia Xing
- State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, 10084 Beijing, People's Republic of China
- State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Tsinghua University, 10084 Beijing, People's Republic of China
| | - Shuxiao Wang
- State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, 10084 Beijing, People's Republic of China
- State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Tsinghua University, 10084 Beijing, People's Republic of China
| | - Siyi Cai
- State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, 10084 Beijing, People's Republic of China
- State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Tsinghua University, 10084 Beijing, People's Republic of China
| | - Bo Shen
- Energy Analysis and Environmental Impacts Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720
| | - Qing Yang
- Department of New Energy Science and Technology, School of Energy and Power Engineering, Huazhong University of Science and Technology, 430074 Wuhan, People's Republic of China
- China-EU Institute for Clean and Renewable Energy, Huazhong University of Science and Technology, 430074 Wuhan, People's Republic of China
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138
| | - Chris P Nielsen
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138
| | - Michael B McElroy
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138;
- Department of Earth and Planetary Sciences, Harvard University, Cambridge, MA 02138
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An Investment Feasibility Analysis of CCS Retrofit Based on a Two-Stage Compound Real Options Model. ENERGIES 2018. [DOI: 10.3390/en11071711] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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7
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Analysis of GHG Emission Reduction in South Korea Using a CO2 Transportation Network Optimization Model. ENERGIES 2017. [DOI: 10.3390/en10071027] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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Michael K, Whittaker S, Varma S, Bekele E, Langhi L, Hodgkinson J, Harris B. Framework for the assessment of interaction between CO2 geological storage and other sedimentary basin resources. ENVIRONMENTAL SCIENCE. PROCESSES & IMPACTS 2016; 18:164-175. [PMID: 26767550 DOI: 10.1039/c5em00539f] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/05/2023]
Abstract
Sedimentary basins around the world considered suitable for carbon storage usually contain other natural resources such as petroleum, coal, geothermal energy and groundwater. Storing carbon dioxide in geological formations in the basins adds to the competition for access to the subsurface and the use of pore space where other resource-based industries also operate. Managing potential impacts that industrial-scale injection of carbon dioxide may have on other resource development must be focused to prevent potential conflicts and enhance synergies where possible. Such a sustainable coexistence of various resource developments can be accomplished by implementing a Framework for Basin Resource Management strategy (FBRM). The FBRM strategy utilizes the concept of an Area of Review (AOR) for guiding development and regulation of CO2 geological storage projects and for assessing their potential impact on other resources. The AOR is determined by the expected physical distribution of the CO2 plume in the subsurface and the modelled extent of reservoir pressure increase resulting from the injection of the CO2. This information is used to define the region to be characterised and monitored for a CO2 injection project. The geological characterisation and risk- and performance-based monitoring will be most comprehensive within the region of the reservoir containing the carbon dioxide plume and should consider geological features and wells continuously above the plume through to its surface projection; this region defines where increases in reservoir pressure will be greatest and where potential for unplanned migration of carbon dioxide is highest. Beyond the expanse of the carbon dioxide plume, geological characterisation and monitoring should focus only on identified features that could be a potential migration conduit for either formation water or carbon dioxide.
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Affiliation(s)
- K Michael
- CSIRO Energy, ARRC, 26 Dick Perry Ave, Kensington, WA 6151, Australia.
| | - S Whittaker
- CSIRO Energy, ARRC, 26 Dick Perry Ave, Kensington, WA 6151, Australia.
| | - S Varma
- Western Australian Department of Mines and Petroleum, Perth, Australia
| | - E Bekele
- CSIRO Land and Water, Perth, Australia
| | - L Langhi
- CSIRO Energy, ARRC, 26 Dick Perry Ave, Kensington, WA 6151, Australia.
| | - J Hodgkinson
- CSIRO Energy, ARRC, 26 Dick Perry Ave, Kensington, WA 6151, Australia.
| | - B Harris
- Curtin University, Perth, Australia
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Lv G, Li Q, Wang S, Li X. Key techniques of reservoir engineering and injection–production process for CO2 flooding in China's SINOPEC Shengli Oilfield. J CO2 UTIL 2015. [DOI: 10.1016/j.jcou.2014.12.007] [Citation(s) in RCA: 60] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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10
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11
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Early Opportunities of CO2 Geological Storage Deployment in Coal Chemical Industry in China. ACTA ACUST UNITED AC 2014. [DOI: 10.1016/j.egypro.2014.11.767] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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12
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Examining CCS Deployment Potential in China Via Application of an Integrated CCS Cost Curve. ACTA ACUST UNITED AC 2013. [DOI: 10.1016/j.egypro.2013.06.130] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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13
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Li X, Wei N, Fang Z, Li Q, Dahowski R, Davidson C. Early opportunities of carbon capture and storage in China. ACTA ACUST UNITED AC 2011. [DOI: 10.1016/j.egypro.2011.02.607] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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