IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v239y2022ipes0360544221026311.html
   My bibliography  Save this article

Process control strategies for solar-powered carbon capture under transient solar conditions

Author

Listed:
  • Milani, Dia
  • Luu, Minh Tri
  • Nelson, Scott
  • Abbas, Ali

Abstract

This paper presents process control strategies commanding the novel solar stripper (So-St) network to effectively regenerate the rich solvent and ultimately replace the conventional desorption unit in the PCC. In this work, the effect of solar heat flux (SHF) is analyzed and categorized by the active control strategy in full synergy with the absorber operation. The mismatch in operation between the two ends of the solvent cycle (absorption vs. desorption) is buffered/regulated by solvent storage tanks. Three original and two combined control scenarios are developed and assessed based on their main controlled output and manipulated input variables. It is found that the lean loading control strategy provides the most consistent absorber operation, reliable CO2 productivity, and desirable thermodynamic regime. This superior performance of lean loading control stems from absorbing a relatively larger SHF range without violating solvent temperature and pressure-drop constraints in the So-St network. In practical applications, it is recommended that lean loading control should incorporate temperature control to monitor solvent temperature and provide appropriate remedy control actions when required. Such process control strategies can lead to effective operation of the “solar-powered” carbon capture (SP-PCC), allowing SP-PCC technology to be installed and operated independently and autonomously from the power plant, thus cutting the capture energy penalty by integrating renewable solar heat.

Suggested Citation

  • Milani, Dia & Luu, Minh Tri & Nelson, Scott & Abbas, Ali, 2022. "Process control strategies for solar-powered carbon capture under transient solar conditions," Energy, Elsevier, vol. 239(PE).
  • Handle: RePEc:eee:energy:v:239:y:2022:i:pe:s0360544221026311
    DOI: 10.1016/j.energy.2021.122382
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544221026311
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2021.122382?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. Luu, Minh Tri & Milani, Dia & Sharma, Manish & Zeaiter, Joseph & Abbas, Ali, 2016. "Model-based analysis of CO2 revalorization for di-methyl ether synthesis driven by solar catalytic reforming," Applied Energy, Elsevier, vol. 177(C), pages 863-878.
    2. Khalilpour, Rajab & Milani, Dia & Qadir, Abdul & Chiesa, Matteo & Abbas, Ali, 2017. "A novel process for direct solvent regeneration via solar thermal energy for carbon capture," Renewable Energy, Elsevier, vol. 104(C), pages 60-75.
    3. 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).
    4. Mokhtar, Marwan & Ali, Muhammad Tauha & Khalilpour, Rajab & Abbas, Ali & Shah, Nilay & Hajaj, Ahmed Al & Armstrong, Peter & Chiesa, Matteo & Sgouridis, Sgouris, 2012. "Solar-assisted Post-combustion Carbon Capture feasibility study," Applied Energy, Elsevier, vol. 92(C), pages 668-676.
    5. Luu, Minh Tri & Milani, Dia & McNaughton, Robbie & Abbas, Ali, 2017. "Dynamic modelling and start-up operation of a solar-assisted recompression supercritical CO2 Brayton power cycle," Applied Energy, Elsevier, vol. 199(C), pages 247-263.
    6. Wu, Xiao & Shen, Jiong & Wang, Meihong & Lee, Kwang Y., 2020. "Intelligent predictive control of large-scale solvent-based CO2 capture plant using artificial neural network and particle swarm optimization," Energy, Elsevier, vol. 196(C).
    7. Dettori, S. & Iannino, V. & Colla, V. & Signorini, A., 2018. "An adaptive Fuzzy logic-based approach to PID control of steam turbines in solar applications," Applied Energy, Elsevier, vol. 227(C), pages 655-664.
    8. Qadir, Abdul & Mokhtar, Marwan & Khalilpour, Rajab & Milani, Dia & Vassallo, Anthony & Chiesa, Matteo & Abbas, Ali, 2013. "Potential for solar-assisted post-combustion carbon capture in Australia," Applied Energy, Elsevier, vol. 111(C), pages 175-185.
    9. Alqahtani, Bandar Jubran & Patiño-Echeverri, Dalia, 2016. "Integrated Solar Combined Cycle Power Plants: Paving the way for thermal solar," Applied Energy, Elsevier, vol. 169(C), pages 927-936.
    10. Parvareh, Forough & Sharma, Manish & Qadir, Abdul & Milani, Dia & Khalilpour, Rajab & Chiesa, Matteo & Abbas, Ali, 2014. "Integration of solar energy in coal-fired power plants retrofitted with carbon capture: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 1029-1044.
    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. Wu, Ying & Dai, Ying & Xie, Weiyi & Chen, Haijun & Zhu, Yuezhao, 2022. "Performance analysis for post-combustion CO2 capture in coal-fired power plants by integration with solar energy," Energy, Elsevier, vol. 261(PA).

    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. Powell, Kody M. & Rashid, Khalid & Ellingwood, Kevin & Tuttle, Jake & Iverson, Brian D., 2017. "Hybrid concentrated solar thermal power systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 215-237.
    2. Wang, Fu & Zhao, Jun & Li, Hailong & Deng, Shuai & Yan, Jinyue, 2017. "Preliminary experimental study of post-combustion carbon capture integrated with solar thermal collectors," Applied Energy, Elsevier, vol. 185(P2), pages 1471-1480.
    3. Khalilpour, Rajab & Milani, Dia & Qadir, Abdul & Chiesa, Matteo & Abbas, Ali, 2017. "A novel process for direct solvent regeneration via solar thermal energy for carbon capture," Renewable Energy, Elsevier, vol. 104(C), pages 60-75.
    4. Yang, Ning & Zhou, Yunlong & Ge, Xinzhe, 2019. "A flexible CO2 capture operation scheme design and evaluation of a coal-fired power plant integrated with a novel DCP and retrofitted solar system," Energy, Elsevier, vol. 170(C), pages 73-84.
    5. Jordán, Pérez Sánchez & Javier Eduardo, Aguillón Martínez & Zdzislaw, Mazur Czerwiec & Alan Martín, Zavala Guzmán & Liborio, Huante Pérez & Jesús Antonio, Flores Zamudio & Mario Román, Díaz Guillén, 2019. "Techno-economic analysis of solar-assisted post-combustion carbon capture to a pilot cogeneration system in Mexico," Energy, Elsevier, vol. 167(C), pages 1107-1119.
    6. Hao, Yong & Li, Wenjia & Tian, Zhenyu & Campana, Pietro Elia & Li, Hailong & Jin, Hongguang & Yan, Jinyue, 2018. "Integration of concentrating PVs in anaerobic digestion for biomethane production," Applied Energy, Elsevier, vol. 231(C), pages 80-88.
    7. Wang, Fu & Deng, Shuai & Zhao, Jun & Wang, Junyao & Sun, Taiwei & Yan, Jinyue, 2017. "Performance and economic assessments of integrating geothermal energy into coal-fired power plant with CO2 capture," Energy, Elsevier, vol. 119(C), pages 278-287.
    8. Parvareh, Forough & Sharma, Manish & Qadir, Abdul & Milani, Dia & Khalilpour, Rajab & Chiesa, Matteo & Abbas, Ali, 2014. "Integration of solar energy in coal-fired power plants retrofitted with carbon capture: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 1029-1044.
    9. Lou, Juwei & Wang, Jiangfeng & Chen, Liangqi & Wang, Yikai & Zhao, Pan & Wang, Shunsen, 2023. "Multi-objective optimization and off-design performance evaluation of coaxial turbomachines for a novel energy storage-based recuperated S–CO2 Brayton cycle driven by nuclear energy," Energy, Elsevier, vol. 275(C).
    10. Zhang, Yi & Liu, Jinfeng & Yang, Tingting & Liu, Jianbang & Shen, Jiong & Fang, Fang, 2021. "Dynamic modeling and control of direct air-cooling condenser pressure considering couplings with adjacent systems," Energy, Elsevier, vol. 236(C).
    11. 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).
    12. Li, Chunxi & Guo, Shiqi & Ye, Xuemin & Fu, Wenfeng, 2019. "Performance and thermoeconomics of solar-aided double-reheat coal-fired power systems with carbon capture," Energy, Elsevier, vol. 177(C), pages 1-15.
    13. Li, Xiaoxiao & Gurgenci, Hal & Guan, Zhiqiang & Wang, Xurong & Duniam, Sam, 2017. "Measurements of crosswind influence on a natural draft dry cooling tower for a solar thermal power plant," Applied Energy, Elsevier, vol. 206(C), pages 1169-1183.
    14. Son, Seongmin & Jeong, Yongju & Cho, Seong Kuk & Lee, Jeong Ik, 2020. "Development of supercritical CO2 turbomachinery off-design model using 1D mean-line method and Deep Neural Network," Applied Energy, Elsevier, vol. 263(C).
    15. Wu, Xiao & Wang, Meihong & Lee, Kwang Y., 2020. "Flexible operation of supercritical coal-fired power plant integrated with solvent-based CO2 capture through collaborative predictive control," Energy, Elsevier, vol. 206(C).
    16. Masoumi, A.P. & Tavakolpour-Saleh, A.R. & Rahideh, A., 2020. "Applying a genetic-fuzzy control scheme to an active free piston Stirling engine: Design and experiment," Applied Energy, Elsevier, vol. 268(C).
    17. Stefano Dettori & Alessandro Maddaloni & Filippo Galli & Valentina Colla & Federico Bucciarelli & Damaso Checcacci & Annamaria Signorini, 2021. "Steam Turbine Rotor Stress Control through Nonlinear Model Predictive Control," Energies, MDPI, vol. 14(13), pages 1-30, July.
    18. Kwak, Sanghyeok & Choi, Jaehong & Lee, Min Chul & Yoon, Youngbin, 2021. "Predicting instability frequency and amplitude using artificial neural network in a partially premixed combustor," Energy, Elsevier, vol. 230(C).
    19. Nebiyu Kedir & Phuong H. D. Nguyen & Citlaly Pérez & Pedro Ponce & Aminah Robinson Fayek, 2023. "Systematic Literature Review on Fuzzy Hybrid Methods in Photovoltaic Solar Energy: Opportunities, Challenges, and Guidance for Implementation," Energies, MDPI, vol. 16(9), pages 1-38, April.
    20. Dadak, Ali & Mousavi, Seyed Ali & Mehrpooya, Mehdi & Kasaeian, Alibakhsh, 2022. "Techno-economic investigation and dual-objective optimization of a stand-alone combined configuration for the generation and storage of electricity and hydrogen applying hybrid renewable system," Renewable Energy, Elsevier, vol. 201(P1), pages 1-20.

    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:energy:v:239:y:2022:i:pe:s0360544221026311. 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.journals.elsevier.com/energy .

    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.