IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v153y2018icp80-89.html
   My bibliography  Save this article

An optimal design approach for the annular involute-profile cross wavy primary surface recuperator in microturbine and an application case study

Author

Listed:
  • Cai, Jun
  • Huai, Xiulan
  • Xi, Wenxuan

Abstract

In this work, a computational model of heat transfer and pressure drop is established for the design optimization of the annular involute-profile cross wavy primary surface (CWPS) recuperator in microturbine. The genetic algorithm method is employed to solve the optimization problem of annular CWPS recuperator with multiple design variables. Thus, an optimal design approach for this kind of recuperator is formulated. The validity of the computational model is checked by comparing the calculation results with the experimental data of C30 and C65 prototype recuperators (Capstone Turbine Corporation). With the total relative pressure loss as the optimization target, the developed method is applied to the optimal design of the recuperator in a 300 kW power-level microturbine. In comparison with the original design, the optimal design results in a significant reduction of the pressure loss in the case that all constraints are satisfied, which indicates the formulated optimal design approach is effective for the annular CWPS recuperator. By replacing the optimization target, the optimal design approach presented in this work can be also applied to the single-objective optimization for other targets (compactness, heat transfer area, weight, volume, effectiveness, etc.) and even the multi-objective optimization according to the particular requirements of different microturbines.

Suggested Citation

  • Cai, Jun & Huai, Xiulan & Xi, Wenxuan, 2018. "An optimal design approach for the annular involute-profile cross wavy primary surface recuperator in microturbine and an application case study," Energy, Elsevier, vol. 153(C), pages 80-89.
    • Handle: RePEc:eee:energy:v:153:y:2018:i:c:p:80-89
    DOI: 10.1016/j.energy.2018.04.016
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544218306066
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2018.04.016?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. Wang, Qiuwang & Zeng, Min & Ma, Ting & Du, Xueping & Yang, Jianfeng, 2014. "Recent development and application of several high-efficiency surface heat exchangers for energy conversion and utilization," Applied Energy, Elsevier, vol. 135(C), pages 748-777.
    2. Xiao, Gang & Yang, Tianfeng & Liu, Huanlei & Ni, Dong & Ferrari, Mario Luigi & Li, Mingchun & Luo, Zhongyang & Cen, Kefa & Ni, Mingjiang, 2017. "Recuperators for micro gas turbines: A review," Applied Energy, Elsevier, vol. 197(C), pages 83-99.
    3. Rao, R. Venkata & Saroj, Ankit, 2017. "Constrained economic optimization of shell-and-tube heat exchangers using elitist-Jaya algorithm," Energy, Elsevier, vol. 128(C), pages 785-800.
    4. Yin, Qian & Du, Wen-Jing & Ji, Xing-Lin & Cheng, Lin, 2016. "Optimization design and economic analyses of heat recovery exchangers on rotary kilns," Applied Energy, Elsevier, vol. 180(C), pages 743-756.
    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. Zhang, Chengyu & Gümmer, Volker, 2020. "Multi-objective optimization and system evaluation of recuperated helicopter turboshaft engines," Energy, Elsevier, vol. 191(C).
    2. Shahsavar, Amin & Al-Rashed, Abdullah A.A.A. & Entezari, Sajad & Sardari, Pouyan Talebizadeh, 2019. "Melting and solidification characteristics of a double-pipe latent heat storage system with sinusoidal wavy channels embedded in a porous medium," Energy, Elsevier, vol. 171(C), pages 751-769.
    3. Rajabi, Mahsa & Mehrpooya, Mehdi & Haibo, Zhao & Huang, Zhen, 2019. "Chemical looping technology in CHP (combined heat and power) and CCHP (combined cooling heating and power) systems: A critical review," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    4. Chen, Jinli & Xiao, Gang & Ferrari, Mario Luigi & Yang, Tianfeng & Ni, Mingjiang & Cen, Kefa, 2020. "Dynamic simulation of a solar-hybrid microturbine system with experimental validation of main parts," Renewable Energy, Elsevier, vol. 154(C), pages 187-200.
    5. Roberta De Robbio, 2023. "Micro Gas Turbine Role in Distributed Generation with Renewable Energy Sources," Energies, MDPI, vol. 16(2), pages 1-37, January.
    6. Jaroslaw Krzywanski, 2019. "A General Approach in Optimization of Heat Exchangers by Bio-Inspired Artificial Intelligence Methods," Energies, MDPI, vol. 12(23), pages 1-32, November.
    7. Xu, Shuhui & Wang, Yong & Wang, Zhi, 2019. "Parameter estimation of proton exchange membrane fuel cells using eagle strategy based on JAYA algorithm and Nelder-Mead simplex method," Energy, Elsevier, vol. 173(C), pages 457-467.
    8. Klemeš, Jiří Jaromír & Wang, Qiu-Wang & Varbanov, Petar Sabev & Zeng, Min & Chin, Hon Huin & Lal, Nathan Sanjay & Li, Nian-Qi & Wang, Bohong & Wang, Xue-Chao & Walmsley, Timothy Gordon, 2020. "Heat transfer enhancement, intensification and optimisation in heat exchanger network retrofit and operation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 120(C).
    9. Panupon Trairat & Sakda Somkun & Tanakorn Kaewchum & Tawat Suriwong & Pisit Maneechot & Teerapon Panpho & Wikarn Wansungnern & Sathit Banthuek & Bongkot Prasit & Tanongkiat Kiatsiriroat, 2023. "Grid Integration of Livestock Biogas Using Self-Excited Induction Generator and Spark-Ignition Engine," Energies, MDPI, vol. 16(13), pages 1-23, June.
    10. Rovense, Francesco & Sebastián, Andrés & Abbas, Rubén & Romero, Manuel & González-Aguilar, José, 2023. "Performance map analysis of a solar-driven and fully unfired closed-cycle micro gas turbine," Energy, Elsevier, vol. 263(PB).
    11. Juan José Cartelle Barros & Manuel Lara Coira & María Pilar de la Cruz López & Alfredo del Caño Gochi & Isabel Soares, 2020. "Optimisation Techniques for Managing the Project Sustainability Objective: Application to a Shell and Tube Heat Exchanger," Sustainability, MDPI, vol. 12(11), pages 1-22, June.
    12. Shahsavar, Amin & Majidzadeh, Amir Hossein & Mahani, Roohollah Babaei & Talebizadehsardari, Pouyan, 2021. "Entropy and thermal performance analysis of PCM melting and solidification mechanisms in a wavy channel triplex-tube heat exchanger," Renewable Energy, Elsevier, vol. 165(P2), pages 52-72.
    13. 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.
    14. Tilocca, Giuseppe & Sánchez, David & Torres-García, Miguel, 2023. "Application of the theory of constraints to unveil the root causes of the limited market penetration of micro gas turbine systems," Energy, Elsevier, vol. 278(C).
    15. Han, Zongwei & Zhang, Yanqing & Meng, Xin & Liu, Qiankun & Li, Weiliang & Han, Yu & Zhang, Yanhong, 2016. "Simulation study on the operating characteristics of the heat pipe for combined evaporative cooling of computer room air-conditioning system," Energy, Elsevier, vol. 98(C), pages 15-25.
    16. Pashchenko, Dmitry, 2018. "First law energy analysis of thermochemical waste-heat recuperation by steam methane reforming," Energy, Elsevier, vol. 143(C), pages 478-487.
    17. Hadidi, Amin, 2015. "A robust approach for optimal design of plate fin heat exchangers using biogeography based optimization (BBO) algorithm," Applied Energy, Elsevier, vol. 150(C), pages 196-210.
    18. Saranmanduh Borjigin & Ting Ma & Min Zeng & Qiuwang Wang, 2018. "A Numerical Study of Small-Scale Longitudinal Heat Conduction in Plate Heat Exchangers," Energies, MDPI, vol. 11(7), pages 1-15, July.
    19. Wei Wang & Liang Ding & Fangming Han & Yong Shuai & Bingxi Li & Bengt Sunden, 2022. "Parametric Study on Thermo-Hydraulic Performance of NACA Airfoil Fin PCHEs Channels," Energies, MDPI, vol. 15(14), pages 1-15, July.
    20. Kwon, Hyun Min & Moon, Seong Won & Kim, Tong Seop & Kang, Do Won, 2020. "Performance enhancement of the gas turbine combined cycle by simultaneous reheating, recuperation, and coolant inter-cooling," Energy, Elsevier, vol. 207(C).

    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:153:y:2018:i:c:p:80-89. 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.