IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v358y2024ics0306261923019724.html
   My bibliography  Save this article

Net-zero carbon configuration approach for direct air carbon capture based integrated energy system considering dynamic characteristics of CO2 adsorption and desorption

Author

Listed:
  • Yang, Lihua
  • Wu, Xiao

Abstract

Direct air carbon capture (DAC) is a promising negative carbon technology to balance unavoidable carbon emissions from distributed sources. Deploying DAC into the integrated renewable energy system provides an effective way to achieve regional carbon neutrality. Developing a reasonable configuration approach for the DAC-based integrated energy system (IES) is the premise to ensure the stable, flexible, economic and net-zero carbon operation. However, DAC system captures CO2 from the air through adsorption and desorption with a much lower respond speed than other energy generation, conversion and storage equipment in the IES. Meanwhile, the CO2 adsorption/desorption rate varies significantly with time, making the energy consumption of DAC does not fully correspond to the amount of CO2 being captured. Conventional steady-state IES configuration methods fail to reflect such characteristics of the DAC, which may lead to non-optimal or even infeasible configurations. To this end, this paper develops a configuration-oriented dynamic model for the DAC process to correctly reflect the energy consumption characteristics under given internal operating conditions and the variations of the CO2 adsorption/desorption rate over time. The DAC model is embedded into the configuration framework of the DAC-based IES, formulating a novel configuration approach that optimizes the investment, operation and maintenance, carbon reduction and renewables utilization performance. The optimal capacity of DAC and the corresponding time periods for adsorption, desorption and shutdown operation in typical scenario are determined, revealing the coordinated manner of DAC system with other devices within the IES. Case studies demonstrate the effectiveness of the proposed configuration approach, which can meet the carbon neutral target with the lowest economic cost. Further comparisons also verify the advantages of flexible operation of the DAC system to achieve better coordination with renewable generations and more efficient CO2 capture.

Suggested Citation

  • Yang, Lihua & Wu, Xiao, 2024. "Net-zero carbon configuration approach for direct air carbon capture based integrated energy system considering dynamic characteristics of CO2 adsorption and desorption," Applied Energy, Elsevier, vol. 358(C).
    • Handle: RePEc:eee:appene:v:358:y:2024:i:c:s0306261923019724
    DOI: 10.1016/j.apenergy.2023.122608
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261923019724
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2023.122608?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. Ge, Yi & Han, Jitian & Ma, Qingzhao & Feng, Jiahui, 2022. "Optimal configuration and operation analysis of solar-assisted natural gas distributed energy system with energy storage," Energy, Elsevier, vol. 246(C).
    2. Moises Neil V. Seriño, 2020. "Rising carbon footprint inequality in the Philippines," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 22(2), pages 173-195, April.
    3. An, Keju & Farooqui, Azharuddin & McCoy, Sean T., 2022. "The impact of climate on solvent-based direct air capture systems," Applied Energy, Elsevier, vol. 325(C).
    4. Jiang, Tao & Dong, Xinru & Zhang, Rufeng & Li, Xue, 2023. "Strategic active and reactive power scheduling of integrated community energy systems in day-ahead distribution electricity market," Applied Energy, Elsevier, vol. 336(C).
    5. Hou, Hui & Xu, Tao & Wu, Xixiu & Wang, Huan & Tang, Aihong & Chen, Yangyang, 2020. "Optimal capacity configuration of the wind-photovoltaic-storage hybrid power system based on gravity energy storage system," Applied Energy, Elsevier, vol. 271(C).
    6. Christian Breyer & Mahdi Fasihi & Arman Aghahosseini, 2020. "Carbon dioxide direct air capture for effective climate change mitigation based on renewable electricity: a new type of energy system sector coupling," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 25(1), pages 43-65, January.
    7. Fan, Wei & Ju, Liwei & Tan, Zhongfu & Li, Xiangguang & Zhang, Amin & Li, Xudong & Wang, Yueping, 2023. "Two-stage distributionally robust optimization model of integrated energy system group considering energy sharing and carbon transfer," Applied Energy, Elsevier, vol. 331(C).
    8. Pang, Yi & Pan, Lei & Zhang, Jingmei & Chen, Jianwei & Dong, Yan & Sun, Hexu, 2022. "Integrated sizing and scheduling of an off-grid integrated energy system for an isolated renewable energy hydrogen refueling station," Applied Energy, Elsevier, vol. 323(C).
    9. Xi, Han & Wu, Xiao & Chen, Xianhao & Sha, Peng, 2021. "Artificial intelligent based energy scheduling of steel mill gas utilization system towards carbon neutrality," Applied Energy, Elsevier, vol. 295(C).
    10. Azarabadi, Habib & Lackner, Klaus S., 2019. "A sorbent-focused techno-economic analysis of direct air capture," Applied Energy, Elsevier, vol. 250(C), pages 959-975.
    11. Morato, Marcelo M. & Vergara-Dietrich, José & Esparcia, Eugene A. & Ocon, Joey D. & Normey-Rico, Julio E., 2021. "Assessing demand compliance and reliability in the Philippine off-grid islands with Model Predictive Control microgrid coordination," Renewable Energy, Elsevier, vol. 179(C), pages 1271-1290.
    12. Sumabat, Ana Karmela & Lopez, Neil Stephen & Yu, Krista Danielle & Hao, Han & Li, Richard & Geng, Yong & Chiu, Anthony S.F., 2016. "Decomposition analysis of Philippine CO2 emissions from fuel combustion and electricity generation," Applied Energy, Elsevier, vol. 164(C), pages 795-804.
    13. Zhu, Xuancan & Ge, Tianshu & Yang, Fan & Wang, Ruzhu, 2021. "Design of steam-assisted temperature vacuum-swing adsorption processes for efficient CO2 capture from ambient air," Renewable and Sustainable Energy Reviews, Elsevier, vol. 137(C).
    Full references (including those not matched with items on IDEAS)

    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. Qiao, Yuanting & Bailey, Josh J. & Huang, Qi & Ke, Xuebin & Wu, Chunfei, 2022. "Potential photo-switching sorbents for CO2 capture – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    2. Jiyong Li & Zeyi Hua & Lin Tian & Peiwen Chen & Hao Dong, 2024. "Optimal Capacity Allocation for Life Cycle Multiobjective Integrated Energy Systems Considering Capacity Tariffs and Eco-Indicator 99," Sustainability, MDPI, vol. 16(20), pages 1-22, October.
    3. Ünal, Emre & Keeley, Alexander Ryota & Köse, Nezir & Chapman, Andrew & Managi, Shunsuke, 2024. "The nexus between direct air capture technology and CO2 emissions in the transport sector," Applied Energy, Elsevier, vol. 363(C).
    4. Li, Yingjie & Liu, Fang & Chen, Ke & Liu, Yinghui, 2024. "Technical and economic analysis of a hybrid PV/wind energy system for hydrogen refueling stations," Energy, Elsevier, vol. 303(C).
    5. Wang, Jiangjiang & Deng, Hongda & Qi, Xiaoling, 2022. "Cost-based site and capacity optimization of multi-energy storage system in the regional integrated energy networks," Energy, Elsevier, vol. 261(PA).
    6. Xu, Jing & Wang, Xiaoying & Gu, Yujiong & Ma, Suxia, 2023. "A data-based day-ahead scheduling optimization approach for regional integrated energy systems with varying operating conditions," Energy, Elsevier, vol. 283(C).
    7. Li, Weiwei & Qian, Tong & Zhao, Wei & Huang, Wenwei & Zhang, Yin & Xie, Xuehua & Tang, Wenhu, 2023. "Decentralized optimization for integrated electricity–heat systems with data center based energy hub considering communication packet loss," Applied Energy, Elsevier, vol. 350(C).
    8. Wu, Xiao & Xi, Han & Qiu, Ruohan & Lee, Kwang Y., 2023. "Low carbon optimal planning of the steel mill gas utilization system," Applied Energy, Elsevier, vol. 343(C).
    9. Wang, Qian & Du, Caiyi & Zhang, Xueguang, 2024. "Direct air capture capacity configuration and cost allocation based on sharing mechanism," Applied Energy, Elsevier, vol. 374(C).
    10. Emrani, Anisa & Berrada, Asmae & Bakhouya, Mohamed, 2022. "Optimal sizing and deployment of gravity energy storage system in hybrid PV-Wind power plant," Renewable Energy, Elsevier, vol. 183(C), pages 12-27.
    11. Kate Dooley & Ellycia Harrould‐Kolieb & Anita Talberg, 2021. "Carbon‐dioxide Removal and Biodiversity: A Threat Identification Framework," Global Policy, London School of Economics and Political Science, vol. 12(S1), pages 34-44, April.
    12. Jiang, Sheng-Long & Wang, Meihong & Bogle, I. David L., 2023. "Plant-wide byproduct gas distribution under uncertainty in iron and steel industry via quantile forecasting and robust optimization," Applied Energy, Elsevier, vol. 350(C).
    13. Mousavi, Babak & Lopez, Neil Stephen A. & Biona, Jose Bienvenido Manuel & Chiu, Anthony S.F. & Blesl, Markus, 2017. "Driving forces of Iran's CO2 emissions from energy consumption: An LMDI decomposition approach," Applied Energy, Elsevier, vol. 206(C), pages 804-814.
    14. Weihua Su & Yuying Wang & Dalia Streimikiene & Tomas Balezentis & Chonghui Zhang, 2020. "Carbon dioxide emission decomposition along the gradient of economic development: The case of energy sustainability in the G7 and Brazil, Russia, India, China and South Africa," Sustainable Development, John Wiley & Sons, Ltd., vol. 28(4), pages 657-669, July.
    15. Negri, Simone & Giani, Federico & Blasuttigh, Nicola & Massi Pavan, Alessandro & Mellit, Adel & Tironi, Enrico, 2022. "Combined model predictive control and ANN-based forecasters for jointly acting renewable self-consumers: An environmental and economical evaluation," Renewable Energy, Elsevier, vol. 198(C), pages 440-454.
    16. Gheouany, Saad & Ouadi, Hamid & El Bakali, Saida, 2024. "Optimal active and reactive energy management for a smart microgrid system under the Moroccan grid pricing code," Energy, Elsevier, vol. 306(C).
    17. Zhang, Liu & Zhang, Kaitian & Zheng, Zhong & Chai, Yi & Lian, Xiaoyuan & Zhang, Kai & Xu, Zhaojun & Chen, Sujun, 2023. "Two-stage distributionally robust integrated scheduling of oxygen distribution and steelmaking-continuous casting in steel enterprises," Applied Energy, Elsevier, vol. 351(C).
    18. Shigetomi, Yosuke & Matsumoto, Ken'ichi & Ogawa, Yuki & Shiraki, Hiroto & Yamamoto, Yuki & Ochi, Yuki & Ehara, Tomoki, 2018. "Driving forces underlying sub-national carbon dioxide emissions within the household sector and implications for the Paris Agreement targets in Japan," Applied Energy, Elsevier, vol. 228(C), pages 2321-2332.
    19. Ting Wang & Qiya Wang & Caiqing Zhang, 2021. "Research on the Optimal Operation of a Novel Renewable Multi-Energy Complementary System in Rural Areas," Sustainability, MDPI, vol. 13(4), pages 1-16, February.
    20. Zhiming Lu & Youting Li & Guying Zhuo & Chuanbo Xu, 2023. "Configuration Optimization of Hydrogen-Based Multi-Microgrid Systems under Electricity Market Trading and Different Hydrogen Production Strategies," Sustainability, MDPI, vol. 15(8), pages 1-23, April.

    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:358:y:2024:i:c:s0306261923019724. 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.