IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i19p5133-d422974.html
   My bibliography  Save this article

Power, Efficiency, Power Density and Ecological Function Optimization for an Irreversible Modified Closed Variable-Temperature Reservoir Regenerative Brayton Cycle with One Isothermal Heating Process

Author

Listed:
  • Lingen Chen

    (Institute of Thermal Science and Power Engineering, Wuhan Institute of Technology, Wuhan 430205, China
    School of Mechanical & Electrical Engineering, Wuhan Institute of Technology, Wuhan 430205, China)

  • Chenqi Tang

    (College of Power Engineering, Naval University of Engineering, Wuhan 430033, China)

  • Huijun Feng

    (Institute of Thermal Science and Power Engineering, Wuhan Institute of Technology, Wuhan 430205, China
    School of Mechanical & Electrical Engineering, Wuhan Institute of Technology, Wuhan 430205, China)

  • Yanlin Ge

    (Institute of Thermal Science and Power Engineering, Wuhan Institute of Technology, Wuhan 430205, China
    School of Mechanical & Electrical Engineering, Wuhan Institute of Technology, Wuhan 430205, China)

Abstract

One or more isothermal heating process was introduced to modify single and regenerative Brayton cycles by some scholars, which effectively improved the thermal efficiency and significantly reduced the emissions. To analyze and optimize the performance of this type of Brayton cycle, a regenerative modified Brayton cycle with an isothermal heating process is established in this paper based on finite time thermodynamics. The isothermal pressure drop ratio is variable. The irreversibilities of the compressor, turbine and all heat exchangers are considered in the cycle, and the heat reservoirs are variable-temperature ones. The function expressions of four performance indexes; that is, dimensionless power output, thermal efficiency, dimensionless power density and dimensionless ecological function are obtained. With the dimensionless power density as the optimization objective, the heat conductance distributions among all heat exchangers and the thermal capacitance rate matching among the working fluid and heat reservoir are optimized. Based on the NSGA-II algorithm, the cycle’s double-, triple- and quadruple-objective optimization are conducted with the total pressure ratio and the heat conductance distributions among heat exchangers as design variables. The optimal value is chosen from the Pareto frontier by applying the LINMAP, TOPSIS and Shannon entropy methods. The results show that when the pressure ratio in the compressor is less than 12.0, it is beneficial to add the regenerator to improve the cycle performance; when the pressure ratio is greater than 12.0, adding the regenerator will reduce the cycle performance. For single-objective optimization, the four performance indexes could be maximized under the optimal pressure ratios, respectively. When the pressure ratio is greater than 9.2, the cycle is simplified to a closed irreversible simple modified Brayton cycle with one isothermal heating process and coupled to variable-temperature heat reservoirs. Therefore, when the regenerator is used, the range of pressure ratio is limited, and a suitable pressure ratio should be selected. The triple objective (dimensionless power output, dimensionless power density and dimensionless ecological function) optimization’ deviation index gained by LINMAP or TOPSIS method is the smallest. The optimization results gained in this paper could offer some new pointers for the regenerative Brayton cycles’ optimal designs.

Suggested Citation

  • Lingen Chen & Chenqi Tang & Huijun Feng & Yanlin Ge, 2020. "Power, Efficiency, Power Density and Ecological Function Optimization for an Irreversible Modified Closed Variable-Temperature Reservoir Regenerative Brayton Cycle with One Isothermal Heating Process," Energies, MDPI, vol. 13(19), pages 1-23, October.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:19:p:5133-:d:422974
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/19/5133/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/13/19/5133/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Erbay, L. Berrin & Göktun, Selahattin & Yavuz, Hasbi, 2001. "Optimal design of the regenerative gas turbine engine with isothermal heat addition," Applied Energy, Elsevier, vol. 68(3), pages 249-264, March.
    2. Arora, Ranjana & Kaushik, S.C. & Arora, Rajesh, 2015. "Multi-objective and multi-parameter optimization of two-stage thermoelectric generator in electrically series and parallel configurations through NSGA-II," Energy, Elsevier, vol. 91(C), pages 242-254.
    3. Chen, Lingen & Liu, Xiaowei & Ge, Yanlin & Wu, Feng & Feng, Huijun & Xia, Shaojun, 2020. "Power and efficiency optimization of an irreversible quantum Carnot heat engine working with harmonic oscillators," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 550(C).
    4. Şahi̇n, Bahri̇ & Kodal, Ali̇ & Yavuz, Hasbi̇, 1996. "Maximum power density for an endoreversible carnot heat engine," Energy, Elsevier, vol. 21(12), pages 1219-1225.
    5. Chen, Lingen & Liu, Xiaowei & Wu, Feng & Xia, Shaojun & Feng, Huijun, 2020. "Exergy-based ecological optimization of an irreversible quantum Carnot heat pump with harmonic oscillators," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 537(C).
    6. Junhua Wang & Lingen Chen & Yanlin Ge & Fengrui Sun, 2016. "Power and power density analyzes of an endoreversible modified variable-temperature reservoir Brayton cycle with isothermal heat addition," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 11(1), pages 42-53.
    7. Chenqi Tang & Lingen Chen & Huijun Feng & Wenhua Wang & Yanlin Ge, 2020. "Power Optimization of a Modified Closed Binary Brayton Cycle with Two Isothermal Heating Processes and Coupled to Variable-Temperature Reservoirs," Energies, MDPI, vol. 13(12), pages 1-21, June.
    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. Chen, Lingen & Shi, Shuangshuang & Ge, Yanlin & Feng, Huijun, 2023. "Ecological function performance analysis and multi-objective optimization for an endoreversible four-reservoir chemical pump," Energy, Elsevier, vol. 282(C).
    2. Bani-Hani, Ehab & El Haj Assad, Mamdouh & Alzara, Majed & Yosri, Ahmed M. & Aryanfar, Yashar & Castellanos, Humberto Garcia & Mohtaram, Soheil & Bouabidi, Abdallah, 2023. "Energy and exergy analyses of a regenerative Brayton cycle utilizing monochlorobiphenyl wastes as an alternative fuel," Energy, Elsevier, vol. 278(PA).
    3. Huijun Feng & Wei Tang & Lingen Chen & Junchao Shi & Zhixiang Wu, 2021. "Multi-Objective Constructal Optimization for Marine Condensers," Energies, MDPI, vol. 14(17), pages 1-18, September.
    4. Shuangshuang Shi & Yanlin Ge & Lingen Chen & Huijun Feng, 2021. "Performance Optimizations with Single-, Bi-, Tri-, and Quadru-Objective for Irreversible Atkinson Cycle with Nonlinear Variation of Working Fluid’s Specific Heat," Energies, MDPI, vol. 14(14), pages 1-23, July.
    5. Jinhu He & Lingen Chen & Yanlin Ge & Shuangshuang Shi & Fang Li, 2022. "Multi-Objective Optimization of an Irreversible Single Resonance Energy-Selective Electron Heat Engine," Energies, MDPI, vol. 15(16), pages 1-19, August.
    6. Pengchao Zang & Lingen Chen & Yanlin Ge, 2022. "Maximizing Efficient Power for an Irreversible Porous Medium Cycle with Nonlinear Variation of Working Fluid’s Specific Heat," Energies, MDPI, vol. 15(19), pages 1-12, September.
    7. Tang, Wei & Feng, Huijun & Chen, Lingen & Xie, Zhuojun & Shi, Junchao, 2021. "Constructal design for a boiler economizer," Energy, Elsevier, vol. 223(C).

    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. Ares de Parga-Regalado, A.M. & Ramírez-Moreno, M.A. & Angulo-Brown, F., 2023. "A comparative thermodynamic and thermoeconomic analysis between two ecological regimes for the Novikov energy converter," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 615(C).
    2. Ares de Parga-Regalado, A.M. & Ramírez-Moreno, M.A., 2022. "On the analysis of an ecological regime for energy converters," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 605(C).
    3. Valencia-Ortega, G. & Levario-Medina, S. & Barranco-Jiménez, M.A., 2021. "Local and global stability analysis of a Curzon–Ahlborn model applied to power plants working at maximum k-efficient power," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 571(C).
    4. Ares de Parga-Regalado, A.M. & Valencia-Ortega, G. & Barranco-Jiménez, M.A., 2023. "Thermo-economic optimization of irreversible Novikov power plant models including a proposal of dissipation cost," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 613(C).
    5. Yin, Yong & Chen, Lingen & Wu, Feng & Ge, Yanlin, 2020. "Work output and thermal efficiency of an endoreversible entangled quantum Stirling engine with one dimensional isotropic Heisenberg model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 547(C).
    6. Qi, Congzheng & Chen, Lingen & Ge, Yanlin & Feng, Huijun, 2023. "Three-heat-reservoir thermal Brownian heat transformer and its performance limits," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 622(C).
    7. Chenqi Tang & Lingen Chen & Huijun Feng & Wenhua Wang & Yanlin Ge, 2020. "Power Optimization of a Modified Closed Binary Brayton Cycle with Two Isothermal Heating Processes and Coupled to Variable-Temperature Reservoirs," Energies, MDPI, vol. 13(12), pages 1-21, June.
    8. Ramakrishnan, Sankaran & Edwards, Christopher F., 2016. "Maximum-efficiency architectures for heat- and work-regenerative gas turbine engines," Energy, Elsevier, vol. 100(C), pages 115-128.
    9. Meng, Fankai & Chen, Lingen & Feng, Yuanli & Xiong, Bing, 2017. "Thermoelectric generator for industrial gas phase waste heat recovery," Energy, Elsevier, vol. 135(C), pages 83-90.
    10. Ahmadi, Mohammad H. & Amin Nabakhteh, Mohammad & Ahmadi, Mohammad-Ali & Pourfayaz, Fathollah & Bidi, Mokhtar, 2017. "Investigation and optimization of performance of nano-scale Stirling refrigerator using working fluid as Maxwell–Boltzmann gases," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 483(C), pages 337-350.
    11. Ge, Ya & Lin, Yousheng & He, Qing & Wang, Wenhao & Chen, Jiechao & Huang, Si-Min, 2021. "Geometric optimization of segmented thermoelectric generators for waste heat recovery systems using genetic algorithm," Energy, Elsevier, vol. 233(C).
    12. Liu, Zhichun & Zhu, Shiping & Ge, Ya & Shan, Feng & Zeng, Lingping & Liu, Wei, 2017. "Geometry optimization of two-stage thermoelectric generators using simplified conjugate-gradient method," Applied Energy, Elsevier, vol. 190(C), pages 540-552.
    13. Li, Yuqiang & Liu, Gang & Liu, Xianping & Liao, Shengming, 2016. "Thermodynamic multi-objective optimization of a solar-dish Brayton system based on maximum power output, thermal efficiency and ecological performance," Renewable Energy, Elsevier, vol. 95(C), pages 465-473.
    14. Pengchao Zang & Lingen Chen & Yanlin Ge, 2022. "Maximizing Efficient Power for an Irreversible Porous Medium Cycle with Nonlinear Variation of Working Fluid’s Specific Heat," Energies, MDPI, vol. 15(19), pages 1-12, September.
    15. Ge, Ya & Liu, Zhichun & Sun, Henan & Liu, Wei, 2018. "Optimal design of a segmented thermoelectric generator based on three-dimensional numerical simulation and multi-objective genetic algorithm," Energy, Elsevier, vol. 147(C), pages 1060-1069.
    16. Hongkun Lv & Guoneng Li & Youqu Zheng & Jiangen Hu & Jian Li, 2018. "Compact Water-Cooled Thermoelectric Generator (TEG) Based on a Portable Gas Stove," Energies, MDPI, vol. 11(9), pages 1-19, August.
    17. Chen, J.F. & Zhang, L. & Dai, Y.J., 2018. "Performance analysis and multi-objective optimization of a hybrid photovoltaic/thermal collector for domestic hot water application," Energy, Elsevier, vol. 143(C), pages 500-516.
    18. Sogut, Oguz Salim & Durmayaz, Ahmet, 2005. "Performance optimization of a solar driven heat engine with finite-rate heat transfer," Renewable Energy, Elsevier, vol. 30(9), pages 1329-1344.
    19. Bi, Yuehong & Chen, Lingen & Sun, Fengrui, 2008. "Heating load, heating-load density and COP optimizations of an endoreversible air heat-pump," Applied Energy, Elsevier, vol. 85(7), pages 607-617, July.
    20. Yin, Qian & Du, Wen-Jing & Cheng, Lin, 2017. "Optimization design of heat recovery systems on rotary kilns using genetic algorithms," Applied Energy, Elsevier, vol. 202(C), pages 153-168.

    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:13:y:2020:i:19:p:5133-:d:422974. 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.