IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v35y2010i4p1647-1657.html
   My bibliography  Save this article

Design and optimization of a non-TEMA type tubular recuperative heat exchanger used in a regenerative gas turbine cycle

Author

Listed:
  • Sayyaadi, Hoseyn
  • Aminian, Hamid Reza

Abstract

A special non-TEMA type tubular recuperative heat exchanger used as a regenerator of a gas turbine cycle is considered for multi-criteria optimization. It is assumed that the recuperator is designed for an existing gas turbine cycle to be retrofitted. Three scenarios for optimization of the proposed system have been considered. In one scenario, the objective is minimizing the cost of recuperator; while in another scenario maximizing the cycle exergetic efficiency is considered. In third scenario, both objectives are optimized simultaneously in a multi-objective optimization approach. Geometric specification of the recuperator including tubes length, tubes outside/inside diameters, tube pitch in the tube bundle, inside shell diameter, outer and inner tube limits of the tube bundle and the total number of disc and doughnut baffles are considered as decision variables. Combination of these objectives and decision variables with suitable engineering and physical constraints (including NOx and CO emission limitations) makes a set of MINLP optimization problem. Optimization programming in MATLAB is performed using one of the most powerful and robust multi-objective optimization algorithms namely NSGA-II. This approach which is based on the Genetic Algorithm is applied to find a set of Pareto optimal solutions. Pareto optimal frontier is obtained and a final optimal solution is selected in a decision-making process. It is shown that the multi-objective optimization scenario can be considered as a generalized optimization approach in which balances between economical viewpoints of both heat exchanger manufacturer and end user of recuperator.

Suggested Citation

  • Sayyaadi, Hoseyn & Aminian, Hamid Reza, 2010. "Design and optimization of a non-TEMA type tubular recuperative heat exchanger used in a regenerative gas turbine cycle," Energy, Elsevier, vol. 35(4), pages 1647-1657.
    • Handle: RePEc:eee:energy:v:35:y:2010:i:4:p:1647-1657
    DOI: 10.1016/j.energy.2009.12.011
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544209005313
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2009.12.011?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. Lazzaretto, A. & Toffolo, A., 2004. "Energy, economy and environment as objectives in multi-criterion optimization of thermal systems design," Energy, Elsevier, vol. 29(8), pages 1139-1157.
    2. Sayyaadi, Hoseyn, 2009. "Multi-objective approach in thermoenvironomic optimization of a benchmark cogeneration system," Applied Energy, Elsevier, vol. 86(6), pages 867-879, 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. Sayyaadi, Hoseyn & Ghorbani, Ghadir, 2018. "Conceptual design and optimization of a small-scale dual power-desalination system based on the Stirling prime-mover," Applied Energy, Elsevier, vol. 223(C), pages 457-471.
    2. Ferreira, Ana C.M. & Nunes, Manuel L. & Teixeira, Senhorinha F.C.F. & Leão, Celina P. & Silva, Ângela M. & Teixeira, José C.F. & Martins, Luís A.S.B., 2012. "An economic perspective on the optimisation of a small-scale cogeneration system for the Portuguese scenario," Energy, Elsevier, vol. 45(1), pages 436-444.
    3. Bornatico, Raffaele & Hüssy, Jonathan & Witzig, Andreas & Guzzella, Lino, 2013. "Surrogate modeling for the fast optimization of energy systems," Energy, Elsevier, vol. 57(C), pages 653-662.
    4. Najjar, Yousef S.H. & Al-Absi, Suhayb, 2013. "Thermoeconomic optimization for green multi-shaft gas turbine engines," Energy, Elsevier, vol. 56(C), pages 39-45.
    5. Ibrahim, Amin & Rahnamayan, Shahryar & Vargas Martin, Miguel & Yilbas, Bekir, 2014. "Multi-objective thermal analysis of a thermoelectric device: Influence of geometric features on device characteristics," Energy, Elsevier, vol. 77(C), pages 305-317.
    6. Goodarzi, Mohsen & Kiasat, Mohsen & Khalilidehkordi, Ehsan, 2014. "Performance analysis of a modified regenerative Brayton and inverse Brayton cycle," Energy, Elsevier, vol. 72(C), pages 35-43.
    7. Jiang, Yuemao & Ma, Yue & Han, Fenghui & Ji, Yulong & Cai, Wenjian & Wang, Zhe, 2023. "Assessment and optimization of a novel waste heat stepped utilization system integrating partial heating sCO2 cycle and ejector refrigeration cycle using zeotropic mixtures for gas turbine," Energy, Elsevier, vol. 265(C).
    8. Abdollahipour, Armin & Sayyaadi, Hoseyn, 2021. "Thermal energy recovery of molten carbonate fuel cells by thermally regenerative electrochemical cycles," Energy, Elsevier, vol. 227(C).
    9. 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.
    10. Sayyaadi, Hoseyn & Mehrabipour, Reza, 2012. "Efficiency enhancement of a gas turbine cycle using an optimized tubular recuperative heat exchanger," Energy, Elsevier, vol. 38(1), pages 362-375.
    11. Abdollahipour, Armin & Sayyaadi, Hoseyn, 2022. "Optimal design of a hybrid power generation system based on integrating PEM fuel cell and PEM electrolyzer as a moderator for micro-renewable energy systems," Energy, Elsevier, vol. 260(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. Luo, Zhongyang & Sultan, Umair & Ni, Mingjiang & Peng, Hao & Shi, Bingwei & Xiao, Gang, 2016. "Multi-objective optimization for GPU3 Stirling engine by combining multi-objective algorithms," Renewable Energy, Elsevier, vol. 94(C), pages 114-125.
    2. Nondy, J. & Gogoi, T.K., 2021. "Performance comparison of multi-objective evolutionary algorithms for exergetic and exergoenvironomic optimization of a benchmark combined heat and power system," Energy, Elsevier, vol. 233(C).
    3. Sayyaadi, Hoseyn & Mehrabipour, Reza, 2012. "Efficiency enhancement of a gas turbine cycle using an optimized tubular recuperative heat exchanger," Energy, Elsevier, vol. 38(1), pages 362-375.
    4. Shirazi, Ali & Najafi, Behzad & Aminyavari, Mehdi & Rinaldi, Fabio & Taylor, Robert A., 2014. "Thermal–economic–environmental analysis and multi-objective optimization of an ice thermal energy storage system for gas turbine cycle inlet air cooling," Energy, Elsevier, vol. 69(C), pages 212-226.
    5. Sayyaadi, Hoseyn & Baghsheikhi, Mostafa, 2019. "Retrofit of a steam power plant using the adaptive neuro-fuzzy inference system in response to the load variation," Energy, Elsevier, vol. 175(C), pages 1164-1173.
    6. Sayyaadi, Hoseyn & Babaie, Meisam & Farmani, Mohammad Reza, 2011. "Implementing of the multi-objective particle swarm optimizer and fuzzy decision-maker in exergetic, exergoeconomic and environmental optimization of a benchmark cogeneration system," Energy, Elsevier, vol. 36(8), pages 4777-4789.
    7. Sayyaadi, Hoseyn & Baghsheikhi, Mostafa, 2018. "Developing a novel methodology based on the adaptive neuro-fuzzy interference system for the exergoeconomic optimization of energy systems," Energy, Elsevier, vol. 164(C), pages 218-235.
    8. 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.
    9. Wang, Ligang & Yang, Yongping & Dong, Changqing & Morosuk, Tatiana & Tsatsaronis, George, 2014. "Multi-objective optimization of coal-fired power plants using differential evolution," Applied Energy, Elsevier, vol. 115(C), pages 254-264.
    10. Ahmadi, Mohammad H. & Hosseinzade, Hadi & Sayyaadi, Hoseyn & Mohammadi, Amir H. & Kimiaghalam, Farshad, 2013. "Application of the multi-objective optimization method for designing a powered Stirling heat engine: Design with maximized power, thermal efficiency and minimized pressure loss," Renewable Energy, Elsevier, vol. 60(C), pages 313-322.
    11. Lee, Sangick & Choi, Inhwan & Chang, Daejun, 2013. "Multi-objective optimization of VOC recovery and reuse in crude oil loading," Applied Energy, Elsevier, vol. 108(C), pages 439-447.
    12. Ahmadi, Pouria & Dincer, Ibrahim, 2010. "Exergoenvironmental analysis and optimization of a cogeneration plant system using Multimodal Genetic Algorithm (MGA)," Energy, Elsevier, vol. 35(12), pages 5161-5172.
    13. Khaljani, M. & Khoshbakhti Saray, R. & Bahlouli, K., 2015. "Thermodynamic and thermoeconomic optimization of an integrated gas turbine and organic Rankine cycle," Energy, Elsevier, vol. 93(P2), pages 2136-2145.
    14. 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.
    15. Bakhshmand, Sina Kazemi & Saray, Rahim Khoshbakhti & Bahlouli, Keyvan & Eftekhari, Hajar & Ebrahimi, Afshin, 2015. "Exergoeconomic analysis and optimization of a triple-pressure combined cycle plant using evolutionary algorithm," Energy, Elsevier, vol. 93(P1), pages 555-567.
    16. Ahmadi, Pouria & Dincer, Ibrahim & Rosen, Marc A., 2011. "Exergy, exergoeconomic and environmental analyses and evolutionary algorithm based multi-objective optimization of combined cycle power plants," Energy, Elsevier, vol. 36(10), pages 5886-5898.
    17. Rashid Latief & Yusheng Kong & Yuanyuan Peng & Sohail Ahmad Javeed, 2020. "Conceptualizing Pathways of Sustainable Development in the Union for the Mediterranean Countries with an Empirical Intersection of Energy Consumption and Economic Growth," IJERPH, MDPI, vol. 17(15), pages 1-20, August.
    18. Ding, Xiaoyi & Lv, Xiaojing & Weng, Yiwu, 2019. "Coupling effect of operating parameters on performance of a biogas-fueled solid oxide fuel cell/gas turbine hybrid system," Applied Energy, Elsevier, vol. 254(C).
    19. Aghaei, Ali Tavakkol & Saray, Rahim Khoshbakhti, 2021. "Optimization of a combined cooling, heating, and power (CCHP) system with a gas turbine prime mover: A case study in the dairy industry," Energy, Elsevier, vol. 229(C).
    20. Ahmadi, Mohammad H. & Ahmadi, Mohammad-Ali & Maleki, Akbar & Pourfayaz, Fathollah & Bidi, Mokhtar & Açıkkalp, Emin, 2017. "Exergetic sustainability evaluation and multi-objective optimization of performance of an irreversible nanoscale Stirling refrigeration cycle operating with Maxwell–Boltzmann gas," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 80-92.

    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:35:y:2010:i:4:p:1647-1657. 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.