IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v185y2017ip2p1424-1432.html
   My bibliography  Save this article

Development and application of a multi-stage CCUS source–sink matching model

Author

Listed:
  • Sun, Liang
  • Chen, Wenying

Abstract

To achieve the targets in the Paris Climate Change Agreement, carbon capture, utilization and storage (CCUS) will be one of the critical carbon mitigation technologies. For China, the biggest carbon emitter with coal-dominated energy structure, CCUS is expected to play more and more important roles for carbon emissions reduction. This paper looks at a method for designing a pipeline network system for large-scale CO2 capture, utilization, and storage (CCUS) in China. On the basis of performing a moderately significant literature review of past papers and models dating back to the early 2000’s, a updated multi-stage mixed integer programming (MIP) model for carbon source and sink matching (SSM) in ChinaCCUS DSS (Decision Support System) is developed. The Jing-Jin-Ji (Beijing–Tianjin–Hebei) region suffering from increasingly serious air pollution is chose as a case study to address the SSM issue with application of the updated model. The modeling results show that around 2200km pipeline with investment of around $1.6billion needed to be built to transport the cumulative sequestrated emissions of 1620Mt CO2 in the planning period of 2020–2050. Compared to the single-stage programming, the multi-stage programming could result to better pipeline connectivity.

Suggested Citation

  • Sun, Liang & Chen, Wenying, 2017. "Development and application of a multi-stage CCUS source–sink matching model," Applied Energy, Elsevier, vol. 185(P2), pages 1424-1432.
    • Handle: RePEc:eee:appene:v:185:y:2017:i:p2:p:1424-1432
    DOI: 10.1016/j.apenergy.2016.01.009
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261916000209
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2016.01.009?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Huang, Weilong & Ma, Ding & Chen, Wenying, 2017. "Connecting water and energy: Assessing the impacts of carbon and water constraints on China’s power sector," Applied Energy, Elsevier, vol. 185(P2), pages 1497-1505.
    2. van den Broek, Machteld & Veenendaal, Paul & Koutstaal, Paul & Turkenburg, Wim & Faaij, André, 2011. "Impact of international climate policies on CO2 capture and storage deployment: Illustrated in the Dutch energy system," Energy Policy, Elsevier, vol. 39(4), pages 2000-2019, April.
    3. Middleton, Richard S. & Bielicki, Jeffrey M., 2009. "A scalable infrastructure model for carbon capture and storage: SimCCS," Energy Policy, Elsevier, vol. 37(3), pages 1052-1060, March.
    4. Shi, Jingcheng & Chen, Wenying & Yin, Xiang, 2016. "Modelling building’s decarbonization with application of China TIMES model," Applied Energy, Elsevier, vol. 162(C), pages 1303-1312.
    5. Ma, Ding & Chen, Wenying & Yin, Xiang & Wang, Lining, 2016. "Quantifying the co-benefits of decarbonisation in China’s steel sector: An integrated assessment approach," Applied Energy, Elsevier, vol. 162(C), pages 1225-1237.
    6. Chen, Wenying & Li, Hualin & Wu, Zongxin, 2010. "Western China energy development and west to east energy transfer: Application of the Western China Sustainable Energy Development Model," Energy Policy, Elsevier, vol. 38(11), pages 7106-7120, November.
    7. Middleton, Richard S. & Eccles, Jordan K., 2013. "The complex future of CO2 capture and storage: Variable electricity generation and fossil fuel power," Applied Energy, Elsevier, vol. 108(C), pages 66-73.
    8. Sun, Liang & Chen, Wenying, 2013. "The improved ChinaCCS decision support system: A case study for Beijing–Tianjin–Hebei Region of China," Applied Energy, Elsevier, vol. 112(C), pages 793-799.
    9. Chen, Wenying & Yin, Xiang & Ma, Ding, 2014. "A bottom-up analysis of China’s iron and steel industrial energy consumption and CO2 emissions," Applied Energy, Elsevier, vol. 136(C), pages 1174-1183.
    10. Michael J. Kuby & Jeffrey M. Bielicki & Richard S. Middleton, 2011. "Optimal Spatial Deployment of CO2 Capture and Storage Given a Price on Carbon," International Regional Science Review, , vol. 34(3), pages 285-305, July.
    11. Zhang, Hongjun & Chen, Wenying & Huang, Weilong, 2016. "TIMES modelling of transport sector in China and USA: Comparisons from a decarbonization perspective," Applied Energy, Elsevier, vol. 162(C), pages 1505-1514.
    12. Chen, Wenying & Wu, Zongxin & He, Jiankun & Gao, Pengfei & Xu, Shaofeng, 2007. "Carbon emission control strategies for China: A comparative study with partial and general equilibrium versions of the China MARKAL model," Energy, Elsevier, vol. 32(1), pages 59-72.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zhang, Shuai & Liu, Linlin & Zhang, Lei & Zhuang, Yu & Du, Jian, 2018. "An optimization model for carbon capture utilization and storage supply chain: A case study in Northeastern China," Applied Energy, Elsevier, vol. 231(C), pages 194-206.
    2. Xin, Yue & Zhang, Yindi & Xue, Peng & Wang, Ke & Adu, Emmanuel & Tontiwachwuthikul, Paitoon, 2021. "The optimization and thermodynamic and economic estimation analysis for CO2 compression-liquefaction process of CCUS system using LNG cold energy," Energy, Elsevier, vol. 236(C).
    3. Callas, Catherine & Saltzer, Sarah D. & Steve Davis, J. & Hashemi, Sam S. & Kovscek, Anthony R. & Okoroafor, Esuru R. & Wen, Gege & Zoback, Mark D. & Benson, Sally M., 2022. "Criteria and workflow for selecting depleted hydrocarbon reservoirs for carbon storage," Applied Energy, Elsevier, vol. 324(C).
    4. Zhang, Shuai & Zhuang, Yu & Liu, Linlin & Zhang, Lei & Du, Jian, 2019. "Risk management optimization framework for the optimal deployment of carbon capture and storage system under uncertainty," Renewable and Sustainable Energy Reviews, Elsevier, vol. 113(C), pages 1-1.
    5. Zhang, Kai & Lau, Hon Chung & Liu, Shuyang & Li, Hangyu, 2022. "Carbon capture and storage in the coastal region of China between Shanghai and Hainan," Energy, Elsevier, vol. 247(C).
    6. Sinha, Rakesh Kumar & Chaturvedi, Nitin Dutt, 2019. "A review on carbon emission reduction in industries and planning emission limits," Renewable and Sustainable Energy Reviews, Elsevier, vol. 114(C), pages 1-1.
    7. Chen, Siyuan & Liu, Jiangfeng & Zhang, Qi & Teng, Fei & McLellan, Benjamin C., 2022. "A critical review on deployment planning and risk analysis of carbon capture, utilization, and storage (CCUS) toward carbon neutrality," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    8. Vulin, Domagoj & Muhasilović, Lejla & Arnaut, Maja, 2020. "Possibilities for CCUS in medium temperature geothermal reservoir," Energy, Elsevier, vol. 200(C).
    9. Lee, Suh-Young & Lee, In-Beum & Han, Jeehoon, 2019. "Design under uncertainty of carbon capture, utilization and storage infrastructure considering profit, environmental impact, and risk preference," Applied Energy, Elsevier, vol. 238(C), pages 34-44.
    10. Liu, Bingsheng & Liu, Song & Xue, Bin & Lu, Shijian & Yang, Yang, 2021. "Formalizing an integrated decision-making model for the risk assessment of carbon capture, utilization, and storage projects: From a sustainability perspective," Applied Energy, Elsevier, vol. 303(C).
    11. Tapia, John Frederick D. & Lee, Jui-Yuan & Ooi, Raymond E.H. & Foo, Dominic C.Y. & Tan, Raymond R., 2016. "Optimal CO2 allocation and scheduling in enhanced oil recovery (EOR) operations," Applied Energy, Elsevier, vol. 184(C), pages 337-345.
    12. Fan, Jing-Li & Shen, Shuo & Wei, Shi-Jie & Xu, Mao & Zhang, Xian, 2020. "Near-term CO2 storage potential for coal-fired power plants in China: A county-level source-sink matching assessment," Applied Energy, Elsevier, vol. 279(C).
    13. Wenyin Jiang & Songqing Zhao & Tianfang Yang, 2022. "Economic and Technical Analysis of Power to Gas Factory Taking Karamay as an Example," Sustainability, MDPI, vol. 14(10), pages 1-15, May.
    14. Mei, Jie & Chen, Chen & Wang, Jianhui & Kirtley, James L., 2019. "Coalitional game theory based local power exchange algorithm for networked microgrids," Applied Energy, Elsevier, vol. 239(C), pages 133-141.
    15. Anderson, Jeffrey J. & Rode, David & Zhai, Haibo & Fischbeck, Paul, 2021. "Transitioning to a carbon-constrained world: Reductions in coal-fired power plant emissions through unit-specific, least-cost mitigation frontiers," Applied Energy, Elsevier, vol. 288(C).
    16. Jiaquan Li & Yunbing Hou & Pengtao Wang & Bo Yang, 2018. "A Review of Carbon Capture and Storage Project Investment and Operational Decision-Making Based on Bibliometrics," Energies, MDPI, vol. 12(1), pages 1-22, December.
    17. Wang, Peng-Tao & Wei, Yi-Ming & Yang, Bo & Li, Jia-Quan & Kang, Jia-Ning & Liu, Lan-Cui & Yu, Bi-Ying & Hou, Yun-Bing & Zhang, Xian, 2020. "Carbon capture and storage in China’s power sector: Optimal planning under the 2 °C constraint," Applied Energy, Elsevier, vol. 263(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Li, Nan & Ma, Ding & Chen, Wenying, 2017. "Quantifying the impacts of decarbonisation in China’s cement sector: A perspective from an integrated assessment approach," Applied Energy, Elsevier, vol. 185(P2), pages 1840-1848.
    2. Chen, Han & Yang, Lei & Chen, Wenying, 2020. "Modelling national, provincial and city-level low-carbon energy transformation pathways," Energy Policy, Elsevier, vol. 137(C).
    3. Huan Wang & Wenying Chen & Hongjun Zhang & Nan Li, 2020. "Modeling of power sector decarbonization in China: comparisons of early and delayed mitigation towards 2-degree target," Climatic Change, Springer, vol. 162(4), pages 1843-1856, October.
    4. Wang, Huan & Chen, Wenying & Shi, Jingcheng, 2018. "Low carbon transition of global building sector under 2- and 1.5-degree targets," Applied Energy, Elsevier, vol. 222(C), pages 148-157.
    5. Li, Danyang & Chen, Wenying, 2019. "TIMES modeling of the large-scale popularization of electric vehicles under the worldwide prohibition of liquid vehicle sales," Applied Energy, Elsevier, vol. 254(C).
    6. Li, Nan & Chen, Wenying, 2018. "Modeling China’s interprovincial coal transportation under low carbon transition," Applied Energy, Elsevier, vol. 222(C), pages 267-279.
    7. Huang, Weilong & Ma, Ding & Chen, Wenying, 2017. "Connecting water and energy: Assessing the impacts of carbon and water constraints on China’s power sector," Applied Energy, Elsevier, vol. 185(P2), pages 1497-1505.
    8. Li, Nan & Chen, Wenying, 2019. "Energy-water nexus in China's energy bases: From the Paris agreement to the Well Below 2 Degrees target," Energy, Elsevier, vol. 166(C), pages 277-286.
    9. Zhang, Qiang & Chen, Wenying, 2020. "Modeling China’s interprovincial electricity transmission under low carbon transition," Applied Energy, Elsevier, vol. 279(C).
    10. Li, Nan & Chen, Wenying & Zhang, Qiang, 2020. "Development of China TIMES-30P model and its application to model China's provincial low carbon transformation," Energy Economics, Elsevier, vol. 92(C).
    11. Wang, Huan & Chen, Wenying, 2019. "Modelling deep decarbonization of industrial energy consumption under 2-degree target: Comparing China, India and Western Europe," Applied Energy, Elsevier, vol. 238(C), pages 1563-1572.
    12. Wang, Huan & Chen, Wenying, 2019. "Modeling of energy transformation pathways under current policies, NDCs and enhanced NDCs to achieve 2-degree target," Applied Energy, Elsevier, vol. 250(C), pages 549-557.
    13. Ma, Ding & Chen, Wenying & Yin, Xiang & Wang, Lining, 2016. "Quantifying the co-benefits of decarbonisation in China’s steel sector: An integrated assessment approach," Applied Energy, Elsevier, vol. 162(C), pages 1225-1237.
    14. Shi, Jingcheng & Chen, Wenying & Yin, Xiang, 2016. "Modelling building’s decarbonization with application of China TIMES model," Applied Energy, Elsevier, vol. 162(C), pages 1303-1312.
    15. Lee, Jui-Yuan & Tan, Raymond R. & Chen, Cheng-Liang, 2014. "A unified model for the deployment of carbon capture and storage," Applied Energy, Elsevier, vol. 121(C), pages 140-148.
    16. Yang, Xi & Pang, Jun & Teng, Fei & Gong, Ruixin & Springer, Cecilia, 2021. "The environmental co-benefit and economic impact of China's low-carbon pathways: Evidence from linking bottom-up and top-down models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 136(C).
    17. Zhang, Hongjun & Chen, Wenying & Huang, Weilong, 2016. "TIMES modelling of transport sector in China and USA: Comparisons from a decarbonization perspective," Applied Energy, Elsevier, vol. 162(C), pages 1505-1514.
    18. Knoope, M.M.J. & Ramírez, A. & Faaij, A.P.C., 2015. "The influence of uncertainty in the development of a CO2 infrastructure network," Applied Energy, Elsevier, vol. 158(C), pages 332-347.
    19. Massol, Olivier & Tchung-Ming, Stéphane & Banal-Estañol, Albert, 2018. "Capturing industrial CO2 emissions in Spain: Infrastructures, costs and break-even prices," Energy Policy, Elsevier, vol. 115(C), pages 545-560.
    20. Xuan, Yanni & Yue, Qiang, 2017. "Scenario analysis on resource and environmental benefits of imported steel scrap for China’s steel industry," Resources, Conservation & Recycling, Elsevier, vol. 120(C), pages 186-198.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:appene:v:185:y:2017:i:p2:p:1424-1432. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.