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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

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  • 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
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    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.
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    1. 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.

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