Optimal Design of Resilient Carbon Capture, Utilization and Storage (CCUS) Supply Chain Networks under Facility Disruption
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- d'Amore, Federico & Mocellin, Paolo & Vianello, Chiara & Maschio, Giuseppe & Bezzo, Fabrizio, 2018. "Economic optimisation of European supply chains for CO2 capture, transport and sequestration, including societal risk analysis and risk mitigation measures," Applied Energy, Elsevier, vol. 223(C), pages 401-415.
- Yi-Ming Wei & Jia-Ning Kang & Lan-Cui Liu & Qi Li & Peng-Tao Wang & Juan-Juan Hou & Qiao-Mei Liang & Hua Liao & Shi-Feng Huang & Biying Yu, 2021. "A proposed global layout of carbon capture and storage in line with a 2 °C climate target," Nature Climate Change, Nature, vol. 11(2), pages 112-118, February.
- Abdoli, B. & Hooshmand, F. & MirHassani, S.A., 2023. "A novel stochastic programming model under endogenous uncertainty for the CCS-EOR planning problem," Applied Energy, Elsevier, vol. 338(C).
- 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.
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.- 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).
- Gu, Changwan & Li, Kai & Gao, Shikang & Li, Jiayu & Mao, Yifan, 2024. "CO2 abatement feasibility for blast furnace CCUS retrofits in BF-BOF steel plants in China," Energy, Elsevier, vol. 294(C).
- Zhuyuan Wang & Ting Hu & Mike Tebyetekerwa & Xiangkang Zeng & Fan Du & Yuan Kang & Xuefeng Li & Hao Zhang & Huanting Wang & Xiwang Zhang, 2024. "Electricity generation from carbon dioxide adsorption by spatially nanoconfined ion separation," Nature Communications, Nature, vol. 15(1), pages 1-9, December.
- Jing-Li Fan & Zezheng Li & Xi Huang & Kai Li & Xian Zhang & Xi Lu & Jianzhong Wu & Klaus Hubacek & Bo Shen, 2023. "A net-zero emissions strategy for China’s power sector using carbon-capture utilization and storage," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
- Xu, Liang & Li, Qi & Myers, Matthew & Cao, Xiaomin, 2023. "Investigation of the enhanced oil recovery mechanism of CO2 synergistically with nanofluid in tight glutenite," Energy, Elsevier, vol. 273(C).
- Chong Meng & Siyang Zhou & Wei Li, 2021. "An Optimization Model for Water Management under the Dual Constraints of Water Pollution and Water Scarcity in the Fenhe River Basin, North China," Sustainability, MDPI, vol. 13(19), pages 1-18, September.
- Wu, Hao & Lubbers, Nicholas & Viswanathan, Hari S. & Pollyea, Ryan M., 2021. "A multi-dimensional parametric study of variability in multi-phase flow dynamics during geologic CO2 sequestration accelerated with machine learning," Applied Energy, Elsevier, vol. 287(C).
- Masood S. Alivand & Omid Mazaheri & Yue Wu & Ali Zavabeti & Andrew J. Christofferson & Nastaran Meftahi & Salvy P. Russo & Geoffrey W. Stevens & Colin A. Scholes & Kathryn A. Mumford, 2022. "Engineered assembly of water-dispersible nanocatalysts enables low-cost and green CO2 capture," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
- Changwan Gu & Jingjing Xie & Xiaoyu Li & Xu Gao, 2023. "Levelized Cost Analysis for Blast Furnace CO 2 Capture, Utilization, and Storage Retrofit in China’s Blast Furnace–Basic Oxygen Furnace Steel Plants," Energies, MDPI, vol. 16(23), pages 1-20, November.
- 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.
- Jing, Jing & Yang, Yanlin & Cheng, Jianmei & Ding, Zhaojing & Wang, Dandan & Jing, Xianwen, 2023. "Analysis of the effect of formation dip angle and injection pressure on the injectivity and migration of CO2 during storage," Energy, Elsevier, vol. 280(C).
- Andrew K. Chu & Sally M. Benson & Gege Wen, 2022. "Deep-Learning-Based Flow Prediction for CO 2 Storage in Shale–Sandstone Formations," Energies, MDPI, vol. 16(1), pages 1-21, December.
- Míguez, José Luis & Porteiro, Jacobo & Pérez-Orozco, Raquel & Patiño, David & Gómez, Miguel Ángel, 2020. "Biological systems for CCS: Patent review as a criterion for technological development," Applied Energy, Elsevier, vol. 257(C).
- Wenyue Zhou & Lingying Pan & Xiaohui Mao, 2023. "Optimization and Comparative Analysis of Different CCUS Systems in China: The Case of Shanxi Province," Sustainability, MDPI, vol. 15(18), pages 1-20, September.
- Motlaghzadeh, Kasra & Schweizer, Vanessa & Craik, Neil & Moreno-Cruz, Juan, 2023. "Key uncertainties behind global projections of direct air capture deployment," Applied Energy, Elsevier, vol. 348(C).
- Ikonnikova, Svetlana A. & Scanlon, Bridget R. & Berdysheva, Sofia A., 2023. "A global energy system perspective on hydrogen Trade: A framework for the market color and the size analysis," Applied Energy, Elsevier, vol. 330(PA).
- Wang, Yihan & Wen, Zongguo & Xu, Mao & Kosajan, Vorada, 2024. "The carbon-energy-water nexus of the carbon capture, utilization, and storage technology deployment schemes: A case study in China's cement industry," Applied Energy, Elsevier, vol. 362(C).
- Lin, Boqiang & Liu, Zhiwei, 2024. "Optimal coal power phase-out pathway considering high renewable energy proportion: A provincial example," Energy Policy, Elsevier, vol. 188(C).
- Fan, Jing-Li & Xu, Mao & Li, Fengyu & Yang, Lin & Zhang, Xian, 2018. "Carbon capture and storage (CCS) retrofit potential of coal-fired power plants in China: The technology lock-in and cost optimization perspective," Applied Energy, Elsevier, vol. 229(C), pages 326-334.
- Lin, Boqiang & Liu, Zhiwei, 2024. "Assessment of China's flexible power investment value in the emission trading system," Applied Energy, Elsevier, vol. 359(C).
More about this item
Keywords
resilient CCUS SCND; facility disruption; stochastic mixed-integer linear programming model; transshipment planning;All these keywords.
Statistics
Access and download statisticsCorrections
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:gam:jsusta:v:16:y:2024:i:7:p:2621-:d:1361993. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.