IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v74y2015icp855-866.html
   My bibliography  Save this article

Optimization of Stirling engine design parameters using neural networks

Author

Listed:
  • Hooshang, M.
  • Askari Moghadam, R.
  • Alizadeh Nia, S.
  • Masouleh, M. Tale

Abstract

This paper presents a new optimization procedure for Stirling engines based on neural network concepts. Based on modeling and experimental data an intelligent and fast method is proposed which finds the best values for different design variables. Design variables of Stirling engine are optimized using Multi-Layer Perceptron (MLP) neural networks. The optimization procedure is performed for three typical design variables for a given precision which has the capability to be extended for various types of engines and designs.

Suggested Citation

  • Hooshang, M. & Askari Moghadam, R. & Alizadeh Nia, S. & Masouleh, M. Tale, 2015. "Optimization of Stirling engine design parameters using neural networks," Renewable Energy, Elsevier, vol. 74(C), pages 855-866.
    • Handle: RePEc:eee:renene:v:74:y:2015:i:c:p:855-866
    DOI: 10.1016/j.renene.2014.09.012
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S096014811400562X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2014.09.012?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. Chieh-Li Chen & Chia-En Ho & Her-Terng Yau, 2012. "Performance Analysis and Optimization of a Solar Powered Stirling Engine with Heat Transfer Considerations," Energies, MDPI, vol. 5(9), pages 1-13, September.
    2. Timoumi, Youssef & Tlili, Iskander & Ben Nasrallah, Sassi, 2008. "Design and performance optimization of GPU-3 Stirling engines," Energy, Elsevier, vol. 33(7), pages 1100-1114.
    3. Deh Kiani, M. Kiani & Ghobadian, B. & Tavakoli, T. & Nikbakht, A.M. & Najafi, G., 2010. "Application of artificial neural networks for the prediction of performance and exhaust emissions in SI engine using ethanol- gasoline blends," Energy, Elsevier, vol. 35(1), pages 65-69.
    4. Yaqi, Li & Yaling, He & Weiwei, Wang, 2011. "Optimization of solar-powered Stirling heat engine with finite-time thermodynamics," Renewable Energy, Elsevier, vol. 36(1), pages 421-427.
    5. Cheng, Chin-Hsiang & Yu, Ying-Ju, 2010. "Numerical model for predicting thermodynamic cycle and thermal efficiency of a beta-type Stirling engine with rhombic-drive mechanism," Renewable Energy, Elsevier, vol. 35(11), pages 2590-2601.
    6. Timoumi, Youssef & Tlili, Iskander & Ben Nasrallah, Sassi, 2008. "Performance optimization of Stirling engines," Renewable Energy, Elsevier, vol. 33(9), pages 2134-2144.
    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. Hooshang, M. & Askari Moghadam, R. & AlizadehNia, S., 2016. "Dynamic response simulation and experiment for gamma-type Stirling engine," Renewable Energy, Elsevier, vol. 86(C), pages 192-205.
    2. Mathias Scheunert & Robin Masser & Abdellah Khodja & Raphael Paul & Karsten Schwalbe & Andreas Fischer & Karl Heinz Hoffmann, 2020. "Power-Optimized Sinusoidal Piston Motion and Its Performance Gain for an Alpha-Type Stirling Engine with Limited Regeneration," Energies, MDPI, vol. 13(17), pages 1-19, September.
    3. Carmela Perozziello & Lavinia Grosu & Bianca Maria Vaglieco, 2021. "Free-Piston Stirling Engine Technologies and Models: A Review," Energies, MDPI, vol. 14(21), pages 1-22, October.
    4. Chin-Hsiang Cheng & Yi-Han Tan, 2020. "Numerical Optimization of a Four-Cylinder Double-Acting Stirling Engine Based on Non-Ideal Adiabatic Thermodynamic Model and SCGM Method," Energies, MDPI, vol. 13(8), pages 1-19, April.
    5. Zare, Shahryar & Tavakolpour-saleh, A.R. & Aghahosseini, A. & Sangdani, M.H. & Mirshekari, Reza, 2021. "Design and optimization of Stirling engines using soft computing methods: A review," Applied Energy, Elsevier, vol. 283(C).
    6. Schneider, T. & Müller, D. & Karl, J., 2020. "A review of thermochemical biomass conversion combined with Stirling engines for the small-scale cogeneration of heat and power," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    7. Jiang, Han & Xi, Zhongli & A. Rahman, Anas & Zhang, Xiaoqing, 2020. "Prediction of output power with artificial neural network using extended datasets for Stirling engines," Applied Energy, Elsevier, vol. 271(C).
    8. Mehran Ghalamchi & Alibakhsh Kasaeian & Mohammad Hossein Ahmadi & Mehrdad Ghalamchi, 2017. "Evolving ICA and HGAPSO algorithms for prediction of outlet temperatures of constructed solar chimney," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 12(2), pages 84-95.
    9. Zhu, Shunmin & Yu, Guoyao & Liang, Kun & Dai, Wei & Luo, Ercang, 2021. "A review of Stirling-engine-based combined heat and power technology," Applied Energy, Elsevier, vol. 294(C).
    10. Mojtaba Alborzi & Faramarz Sarhaddi & Fatemeh Sobhnamayan, 2019. "Optimization of the thermal lag Stirling engine performance," Energy & Environment, , vol. 30(1), pages 156-175, February.
    11. Wang, Kai & Dubey, Swapnil & Choo, Fook Hoong & Duan, Fei, 2016. "A transient one-dimensional numerical model for kinetic Stirling engine," Applied Energy, Elsevier, vol. 183(C), pages 775-790.
    12. Patel, Vivek & Savsani, Vimal & Mudgal, Anurag, 2017. "Many-objective thermodynamic optimization of Stirling heat engine," Energy, Elsevier, vol. 125(C), pages 629-642.
    13. Li, Ruijie & Grosu, Lavinia & Li, Wei, 2017. "New polytropic model to predict the performance of beta and gamma type Stirling engine," Energy, Elsevier, vol. 128(C), pages 62-76.
    14. Bataineh, Khaled, 2018. "Mathematical formulation of alpha -type Stirling engine with Ross Yoke mechanism," Energy, Elsevier, vol. 164(C), pages 1178-1199.
    15. Ahmadi, Mohammad H. & Ahmadi, Mohammad-Ali & Pourfayaz, Fathollah, 2017. "Thermal models for analysis of performance of Stirling engine: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 168-184.

    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. Ahmadi, Mohammad H. & Ahmadi, Mohammad-Ali & Pourfayaz, Fathollah, 2017. "Thermal models for analysis of performance of Stirling engine: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 168-184.
    2. Patel, Vivek & Savsani, Vimal, 2016. "Multi-objective optimization of a Stirling heat engine using TS-TLBO (tutorial training and self learning inspired teaching-learning based optimization) algorithm," Energy, Elsevier, vol. 95(C), pages 528-541.
    3. Mojtaba Alborzi & Faramarz Sarhaddi & Fatemeh Sobhnamayan, 2019. "Optimization of the thermal lag Stirling engine performance," Energy & Environment, , vol. 30(1), pages 156-175, February.
    4. Marion, Michaël & Louahlia, Hasna & Gualous, Hamid, 2016. "Performances of a CHP Stirling system fuelled with glycerol," Renewable Energy, Elsevier, vol. 86(C), pages 182-191.
    5. Babaelahi, Mojtaba & Sayyaadi, Hoseyn, 2014. "Simple-II: A new numerical thermal model for predicting thermal performance of Stirling engines," Energy, Elsevier, vol. 69(C), pages 873-890.
    6. Cheng, Chin-Hsiang & Yang, Hang-Suin, 2011. "Analytical model for predicting the effect of operating speed on shaft power output of Stirling engines," Energy, Elsevier, vol. 36(10), pages 5899-5908.
    7. Bert, Juliette & Chrenko, Daniela & Sophy, Tonino & Le Moyne, Luis & Sirot, Frédéric, 2014. "Simulation, experimental validation and kinematic optimization of a Stirling engine using air and helium," Energy, Elsevier, vol. 78(C), pages 701-712.
    8. Babaelahi, Mojtaba & Sayyaadi, Hoseyn, 2016. "Analytical closed-form model for predicting the power and efficiency of Stirling engines based on a comprehensive numerical model and the genetic programming," Energy, Elsevier, vol. 98(C), pages 324-339.
    9. 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.
    10. Cheng, Chin-Hsiang & Yang, Hang-Suin & Keong, Lam, 2013. "Theoretical and experimental study of a 300-W beta-type Stirling engine," Energy, Elsevier, vol. 59(C), pages 590-599.
    11. Mabrouk, M.T. & Kheiri, A. & Feidt, M., 2015. "Effect of leakage losses on the performance of a β type Stirling engine," Energy, Elsevier, vol. 88(C), pages 111-117.
    12. Carlos Ulloa & José Luis Míguez & Jacobo Porteiro & Pablo Eguía & Antón Cacabelos, 2013. "Development of a Transient Model of a Stirling-Based CHP System," Energies, MDPI, vol. 6(7), pages 1-19, June.
    13. Cheng, Chin-Hsiang & Yang, Hang-Suin, 2013. "Theoretical model for predicting thermodynamic behavior of thermal-lag Stirling engine," Energy, Elsevier, vol. 49(C), pages 218-228.
    14. Kuban, Lukasz & Stempka, Jakub & Tyliszczak, Artur, 2019. "A 3D-CFD study of a γ-type Stirling engine," Energy, Elsevier, vol. 169(C), pages 142-159.
    15. Gupta, M.K. & Kaushik, S.C. & Ranjan, K.R. & Panwar, N.L. & Reddy, V. Siva & Tyagi, S.K., 2015. "Thermodynamic performance evaluation of solar and other thermal power generation systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 567-582.
    16. Bert, Juliette & Chrenko, Daniela & Sophy, Tonino & Le Moyne, Luis & Sirot, Frédéric, 2012. "Zero dimensional finite-time thermodynamic, three zones numerical model of a generic Stirling and its experimental validation," Renewable Energy, Elsevier, vol. 47(C), pages 167-174.
    17. Wang, Kai & Dubey, Swapnil & Choo, Fook Hoong & Duan, Fei, 2016. "A transient one-dimensional numerical model for kinetic Stirling engine," Applied Energy, Elsevier, vol. 183(C), pages 775-790.
    18. Cheng, Chin-Hsiang & Yang, Hang-Suin, 2012. "Optimization of geometrical parameters for Stirling engines based on theoretical analysis," Applied Energy, Elsevier, vol. 92(C), pages 395-405.
    19. 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.
    20. Babaelahi, Mojtaba & Sayyaadi, Hoseyn, 2015. "A new thermal model based on polytropic numerical simulation of Stirling engines," Applied Energy, Elsevier, vol. 141(C), pages 143-159.

    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:renene:v:74:y:2015:i:c:p:855-866. 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/renewable-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.