IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i14p5470-d1197260.html
   My bibliography  Save this article

Search for the Optimal Design of a Supercritical-CO 2 Brayton Power Cycle from a Superstructure-Based Approach Implemented in a Commercial Simulation Software

Author

Listed:
  • Qiao Zhao

    (École Nationale Supérieure des Industries Chimiques, Laboratoire Réactions et Génie des Procédés (UMR CNRS 7274), Université de Lorraine, 1 Rue Grandville, 54000 Nancy, France
    EDF R&D Chatou, 6 Quai Watier, 78400 Chatou, France)

  • Mounir Mecheri

    (EDF R&D Chatou, 6 Quai Watier, 78400 Chatou, France)

  • Thibaut Neveux

    (EDF R&D Chatou, 6 Quai Watier, 78400 Chatou, France)

  • Romain Privat

    (École Nationale Supérieure des Industries Chimiques, Laboratoire Réactions et Génie des Procédés (UMR CNRS 7274), Université de Lorraine, 1 Rue Grandville, 54000 Nancy, France)

  • Jean-Noël Jaubert

    (École Nationale Supérieure des Industries Chimiques, Laboratoire Réactions et Génie des Procédés (UMR CNRS 7274), Université de Lorraine, 1 Rue Grandville, 54000 Nancy, France)

  • Yann Le Moullec

    (EDF R&D Chatou, 6 Quai Watier, 78400 Chatou, France)

Abstract

Improving the efficiency and flexibility of fossil-fired power plants remains a current and challenging issue. In that regard, supercritical CO 2 Brayton cycles offer promising potential. This paper aims to apply a process synthesis approach to the design of a closed Brayton cycle using supercritical CO 2 as a working fluid with a coal furnace as a heat source. The general methodology presented here for designing closed power cycles includes the construction of a superstructure containing all relevant possible cycle layouts, the formulation of the cycle-synthesis problem as a mathematical optimization problem, and its solution using an appropriate algorithm. This study was conducted with the help of a process simulation commercial software (PROSIM) and using the Mixed-Integer Distributed Ant Colony Optimization (MIDACO) as a commercial optimization algorithm. This work highlights the limits of a purely technical optimization approach that would ignore the economical layer. The optimal structure obtained regarding Levelized Cost Of Electricity (LCOE) minimization is a configuration with one reheat of the supercritical CO 2 in the boiler, two recuperators, and one recompression loop around the low-temperature recuperator; it is associated with a cycle efficiency of 49.35 % and a 10% reduction in the LCOE in comparison to the optimal case found through energy optimization under typical design heuristics constraints.

Suggested Citation

  • Qiao Zhao & Mounir Mecheri & Thibaut Neveux & Romain Privat & Jean-Noël Jaubert & Yann Le Moullec, 2023. "Search for the Optimal Design of a Supercritical-CO 2 Brayton Power Cycle from a Superstructure-Based Approach Implemented in a Commercial Simulation Software," Energies, MDPI, vol. 16(14), pages 1-31, July.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:14:p:5470-:d:1197260
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/14/5470/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/16/14/5470/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Omprakash K. Gupta & A. Ravindran, 1985. "Branch and Bound Experiments in Convex Nonlinear Integer Programming," Management Science, INFORMS, vol. 31(12), pages 1533-1546, December.
    2. Fred Glover, 1989. "Tabu Search---Part I," INFORMS Journal on Computing, INFORMS, vol. 1(3), pages 190-206, August.
    3. Crespi, Francesco & Gavagnin, Giacomo & Sánchez, David & Martínez, Gonzalo S., 2017. "Supercritical carbon dioxide cycles for power generation: A review," Applied Energy, Elsevier, vol. 195(C), pages 152-183.
    4. Voll, Philip & Klaffke, Carsten & Hennen, Maike & Bardow, André, 2013. "Automated superstructure-based synthesis and optimization of distributed energy supply systems," Energy, Elsevier, vol. 50(C), pages 374-388.
    5. Ligang Wang & Zhiping Yang & Shivom Sharma & Alberto Mian & Tzu-En Lin & George Tsatsaronis & François Maréchal & Yongping Yang, 2018. "A Review of Evaluation, Optimization and Synthesis of Energy Systems: Methodology and Application to Thermal Power Plants," Energies, MDPI, vol. 12(1), pages 1-53, December.
    6. Zhang, Xin-Rong & Yamaguchi, Hiroshi & Uneno, Daisuke, 2007. "Experimental study on the performance of solar Rankine system using supercritical CO2," Renewable Energy, Elsevier, vol. 32(15), pages 2617-2628.
    7. Nawaf Hamadneh & Waqar A Khan & Saratha Sathasivam & Hong Choon Ong, 2013. "Design Optimization of Pin Fin Geometry Using Particle Swarm Optimization Algorithm," PLOS ONE, Public Library of Science, vol. 8(5), pages 1-9, May.
    8. Kermani, Maziar & Wallerand, Anna S. & Kantor, Ivan D. & Maréchal, François, 2018. "Generic superstructure synthesis of organic Rankine cycles for waste heat recovery in industrial processes," Applied Energy, Elsevier, vol. 212(C), pages 1203-1225.
    9. Martin Schlüter & Matthias Gerdts, 2010. "The oracle penalty method," Journal of Global Optimization, Springer, vol. 47(2), pages 293-325, June.
    10. Aviso, Kathleen B. & Tan, Raymond R., 2018. "Fuzzy P-graph for optimal synthesis of cogeneration and trigeneration systems," Energy, Elsevier, vol. 154(C), pages 258-268.
    11. Ma, Yuegeng & Liu, Ming & Yan, Junjie & Liu, Jiping, 2017. "Thermodynamic study of main compression intercooling effects on supercritical CO2 recompression Brayton cycle," Energy, Elsevier, vol. 140(P1), pages 746-756.
    12. Ahadi-Oskui, T. & Alperin, H. & Nowak, I. & Cziesla, F. & Tsatsaronis, G., 2006. "A relaxation-based heuristic for the design of cost-effective energy conversion systems," Energy, Elsevier, vol. 31(10), pages 1346-1357.
    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. Liu, Zecheng & Zhong, Wenqi & Liu, Xuejiao & Shao, Yingjuan, 2023. "Techno-economic and environmental evaluation of a supercritical CO2 coal-fired circulating fluidized bed boiler power generation," Energy, Elsevier, vol. 285(C).
    2. Michel Molière & Romain Privat & Jean-Noël Jaubert & Frédéric Geiger, 2024. "Supercritical CO 2 Power Technology: Strengths but Challenges," Energies, MDPI, vol. 17(5), pages 1-29, February.

    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. Ligang Wang & Zhiping Yang & Shivom Sharma & Alberto Mian & Tzu-En Lin & George Tsatsaronis & François Maréchal & Yongping Yang, 2018. "A Review of Evaluation, Optimization and Synthesis of Energy Systems: Methodology and Application to Thermal Power Plants," Energies, MDPI, vol. 12(1), pages 1-53, December.
    2. Duniam, Sam & Veeraragavan, Ananthanarayanan, 2019. "Off-design performance of the supercritical carbon dioxide recompression Brayton cycle with NDDCT cooling for concentrating solar power," Energy, Elsevier, vol. 187(C).
    3. Yang, Jingze & Yang, Zhen & Duan, Yuanyuan, 2020. "Off-design performance of a supercritical CO2 Brayton cycle integrated with a solar power tower system," Energy, Elsevier, vol. 201(C).
    4. Son, Seongmin & Lee, Jeong Ik, 2018. "Application of adjoint sensitivity analysis method to supercritical CO2 power cycle optimization," Energy, Elsevier, vol. 147(C), pages 1153-1164.
    5. Ehsan, M. Monjurul & Guan, Zhiqiang & Gurgenci, Hal & Klimenko, Alexander, 2020. "Feasibility of dry cooling in supercritical CO2 power cycle in concentrated solar power application: Review and a case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    6. Ma, Yuegeng & Morozyuk, Tatiana & Liu, Ming & Yan, Junjie & Liu, Jiping, 2019. "Optimal integration of recompression supercritical CO2 Brayton cycle with main compression intercooling in solar power tower system based on exergoeconomic approach," Applied Energy, Elsevier, vol. 242(C), pages 1134-1154.
    7. Xingyan, Bian & Wang, Xuan & Wang, Rui & Cai, Jinwen & Tian, Hua & Shu, Gequn, 2022. "Optimal selection of supercritical CO2 Brayton cycle layouts based on part-load performance," Energy, Elsevier, vol. 256(C).
    8. Aviso, Kathleen B. & Marfori, Isidro Antonio V. & Tan, Raymond R. & Ubando, Aristotle T., 2020. "Optimizing abnormal operations of off-grid community utility systems with fuzzy P-graph," Energy, Elsevier, vol. 202(C).
    9. Marianov, Vladimir & Serra, Daniel & ReVelle, Charles, 1999. "Location of hubs in a competitive environment," European Journal of Operational Research, Elsevier, vol. 114(2), pages 363-371, April.
    10. Chiara Gruden & Irena Ištoka Otković & Matjaž Šraml, 2020. "Neural Networks Applied to Microsimulation: A Prediction Model for Pedestrian Crossing Time," Sustainability, MDPI, vol. 12(13), pages 1-22, July.
    11. Chou, Jui-Sheng & Truong, Dinh-Nhat, 2021. "A novel metaheuristic optimizer inspired by behavior of jellyfish in ocean," Applied Mathematics and Computation, Elsevier, vol. 389(C).
    12. Thibaud Deguilhem & Juliette Schlegel & Jean-Philippe Berrou & Ousmane Djibo & Alain Piveteau, 2024. "Too many options: How to identify coalitions in a policy network?," Post-Print hal-04689665, HAL.
    13. Anurag Agarwal, 2009. "Theoretical insights into the augmented-neural-network approach for combinatorial optimization," Annals of Operations Research, Springer, vol. 168(1), pages 101-117, April.
    14. Aofang Yu & Wen Su & Li Zhao & Xinxing Lin & Naijun Zhou, 2020. "New Knowledge on the Performance of Supercritical Brayton Cycle with CO 2 -Based Mixtures," Energies, MDPI, vol. 13(7), pages 1-23, April.
    15. Sun, Li & Doyle, Stephen & Smith, Robin, 2016. "Understanding steam costs for energy conservation projects," Applied Energy, Elsevier, vol. 161(C), pages 647-655.
    16. Helena Ramalhinho-Lourenço & Olivier C. Martin & Thomas Stützle, 2000. "Iterated local search," Economics Working Papers 513, Department of Economics and Business, Universitat Pompeu Fabra.
    17. Marti, Rafael, 1998. "A tabu search algorithm for the bipartite drawing problem," European Journal of Operational Research, Elsevier, vol. 106(2-3), pages 558-569, April.
    18. Sarkar, Jahar, 2015. "Analyses and optimization of a supercritical N2O Rankine cycle for low-grade heat conversion," Energy, Elsevier, vol. 81(C), pages 344-351.
    19. Bahl, Björn & Kümpel, Alexander & Seele, Hagen & Lampe, Matthias & Bardow, André, 2017. "Time-series aggregation for synthesis problems by bounding error in the objective function," Energy, Elsevier, vol. 135(C), pages 900-912.
    20. Mohammad Javad Feizollahi & Igor Averbakh, 2014. "The Robust (Minmax Regret) Quadratic Assignment Problem with Interval Flows," INFORMS Journal on Computing, INFORMS, vol. 26(2), pages 321-335, May.

    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:gam:jeners:v:16:y:2023:i:14:p:5470-:d:1197260. 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.

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