IDEAS home Printed from https://ideas.repec.org/a/eee/rensus/v68y2017ip1p168-184.html
   My bibliography  Save this article

Thermal models for analysis of performance of Stirling engine: A review

Author

Listed:
  • Ahmadi, Mohammad H.
  • Ahmadi, Mohammad-Ali
  • Pourfayaz, Fathollah

Abstract

This paper demonstrates a detailed review of the performance of Stirling engine based on the thermodynamic methods like Finite Time Thermodynamic analysis, Finite speed thermodynamic analysis, Isothermal model, Non-ideal adiabatic method, CAFS: The Combined Adiabatic- Finite Speed Thermal Model and Polytropic analysis of Stirling engine with Various Loss mechanisms (PSVL) model are reported. The aim of the paper is to summarize overall research work being carried out worldwide on the thermodynamic performance evaluation of Stirling engine using different thermodynamic methods. In this paper, the conventional thermodynamic methods for GPU3 Stirling engine were compared. The outcome of this comparison revealed that PSVL was better than the other methods.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:rensus:v:68:y:2017:i:p1:p:168-184
    DOI: 10.1016/j.rser.2016.09.033
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1364032116305251
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.rser.2016.09.033?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. 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.
    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. Karabulut, Halit & Aksoy, Fatih & Öztürk, Erkan, 2009. "Thermodynamic analysis of a β type Stirling engine with a displacer driving mechanism by means of a lever," Renewable Energy, Elsevier, vol. 34(1), pages 202-208.
    4. Kongtragool, Bancha & Wongwises, Somchai, 2006. "Thermodynamic analysis of a Stirling engine including dead volumes of hot space, cold space and regenerator," Renewable Energy, Elsevier, vol. 31(3), pages 345-359.
    5. Petrescu, Stoian & Petre, Camelia & Costea, Monica & Malancioiu, Octavian & Boriaru, Nicolae & Dobrovicescu, Alexandru & Feidt, Michel & Harman, Charles, 2010. "A methodology of computation, design and optimization of solar Stirling power plant using hydrogen/oxygen fuel cells," Energy, Elsevier, vol. 35(2), pages 729-739.
    6. Hsu, S.T. & Lin, F.Y. & Chiou, J.S., 2003. "Heat-transfer aspects of Stirling power generation using incinerator waste energy," Renewable Energy, Elsevier, vol. 28(1), pages 59-69.
    7. Tlili, Iskander, 2012. "Finite time thermodynamic evaluation of endoreversible Stirling heat engine at maximum power conditions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(4), pages 2234-2241.
    8. El-Ehwany, A.A. & Hennes, G.M. & Eid, E.I. & El-Kenany, E., 2011. "Experimental investigation of the performance of an elbow-bend type heat exchanger with a water tube bank used as a heater or cooler in alpha-type Stirling machines," Renewable Energy, Elsevier, vol. 36(2), pages 488-497.
    9. Blank, David A. & Wu, Chih, 1995. "Power optimization of an extra-terrestrial, solar-radiant stirling heat engine," Energy, Elsevier, vol. 20(6), pages 523-530.
    10. 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.
    11. Tlili, Iskander & Timoumi, Youssef & Nasrallah, Sassi Ben, 2008. "Analysis and design consideration of mean temperature differential Stirling engine for solar application," Renewable Energy, Elsevier, vol. 33(8), pages 1911-1921.
    12. 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.
    13. Blank, David A. & Davis, Gregory W. & Wu, Chih, 1994. "Power optimization of an endoreversible stirling cycle with regeneration," Energy, Elsevier, vol. 19(1), pages 125-133.
    14. 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.
    15. Kaushik, S.C & Kumar, S, 2000. "Finite time thermodynamic analysis of endoreversible Stirling heat engine with regenerative losses," Energy, Elsevier, vol. 25(10), pages 989-1003.
    16. Shendage, D.J. & Kedare, S.B. & Bapat, S.L., 2011. "An analysis of beta type Stirling engine with rhombic drive mechanism," Renewable Energy, Elsevier, vol. 36(1), pages 289-297.
    17. 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.
    18. Campos, M.C. & Vargas, J.V.C. & Ordonez, J.C., 2012. "Thermodynamic optimization of a Stirling engine," Energy, Elsevier, vol. 44(1), pages 902-910.
    19. Parlak, Nezaket & Wagner, Andreas & Elsner, Michael & Soyhan, Hakan S., 2009. "Thermodynamic analysis of a gamma type Stirling engine in non-ideal adiabatic conditions," Renewable Energy, Elsevier, vol. 34(1), pages 266-273.
    20. Wang, Jin T. & Chen, Jincan, 2002. "Influence of several irreversible losses on the performance of a ferroelectric Stirling refrigeration-cycle," Applied Energy, Elsevier, vol. 72(2), pages 495-511, June.
    21. 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.
    22. Timoumi, Youssef & Tlili, Iskander & Ben Nasrallah, Sassi, 2008. "Performance optimization of Stirling engines," Renewable Energy, Elsevier, vol. 33(9), pages 2134-2144.
    23. 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.
    24. Karabulut, Halit & Yücesu, Hüseyin Serdar & ÇInar, Can & Aksoy, Fatih, 2009. "An experimental study on the development of a [beta]-type Stirling engine for low and moderate temperature heat sources," Applied Energy, Elsevier, vol. 86(1), pages 68-73, January.
    25. Karabulut, H. & Yücesu, H.S. & Çinar, C., 2006. "Nodal analysis of a Stirling engine with concentric piston and displacer," Renewable Energy, Elsevier, vol. 31(13), pages 2188-2197.
    26. 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.
    27. Araoz, Joseph A. & Salomon, Marianne & Alejo, Lucio & Fransson, Torsten H., 2015. "Numerical simulation for the design analysis of kinematic Stirling engines," Applied Energy, Elsevier, vol. 159(C), pages 633-650.
    28. Ladas, H.G. & Ibrahim, O.M., 1994. "Finite-time view of the stirling engine," Energy, Elsevier, vol. 19(8), pages 837-843.
    29. 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.
    30. Thombare, D.G. & Verma, S.K., 2008. "Technological development in the Stirling cycle engines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(1), pages 1-38, January.
    31. Cheng, Chin-Hsiang & Yang, Hang-Suin, 2014. "Optimization of rhombic drive mechanism used in beta-type Stirling engine based on dimensionless analysis," Energy, Elsevier, vol. 64(C), pages 970-978.
    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. Ye, Wenlian & Zhang, Ting & Wang, Xiaojun & Liu, Yingwen & Chen, Pengfan, 2020. "Parametric study of gamma-type free piston stirling engine using nonlinear thermodynamic-dynamic coupled model," Energy, Elsevier, vol. 211(C).
    2. Wojciech Uchman & Janusz Kotowicz & Leszek Remiorz, 2020. "An Experimental Data-Driven Model of a Micro-Cogeneration Installation for Time-Domain Simulation and System Analysis," Energies, MDPI, vol. 13(11), pages 1-26, June.
    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. Yu, Minjie & Xu, Lei & Cui, Haichuan & Liu, Zhichun & Liu, Wei, 2024. "Characteristics and potential of a novel inclined-flow stirling regenerator constructed by sinusoidal corrugated channels," Energy, Elsevier, vol. 288(C).
    5. Yousefzadeh, H. & Tavakolpour-Saleh, A.R., 2021. "A novel unified dynamic-thermodynamic method for estimating damping and predicting performance of kinematic Stirling engines," Energy, Elsevier, vol. 224(C).
    6. Xu, Haoran & Chen, Lingen & Ge, Yanlin & Feng, Huijun, 2022. "Multi-objective optimization of Stirling heat engine with various heat and mechanical losses," Energy, Elsevier, vol. 256(C).
    7. Yang, Hang-Suin & Cheng, Chin-Hsiang & Huang, Shang-Ting, 2018. "A complete model for dynamic simulation of a 1-kW class beta-type Stirling engine with rhombic-drive mechanism," Energy, Elsevier, vol. 161(C), pages 892-906.
    8. Shahriyar Abedinnezhad & Mohammad Hossein Ahmadi & Seyed Mohsen Pourkiaei & Fathollah Pourfayaz & Amir Mosavi & Michel Feidt & Shahaboddin Shamshirband, 2019. "Thermodynamic Assessment and Multi-Objective Optimization of Performance of Irreversible Dual-Miller Cycle," Energies, MDPI, vol. 12(20), pages 1-25, October.
    9. Solmaz, Hamit & Safieddin Ardebili, Seyed Mohammad & Aksoy, Fatih & Calam, Alper & Yılmaz, Emre & Arslan, Muhammed, 2020. "Optimization of the operating conditions of a beta-type rhombic drive stirling engine by using response surface method," Energy, Elsevier, vol. 198(C).
    10. de la Bat, B.J.G. & Dobson, R.T. & Harms, T.M. & Bell, A.J., 2020. "Simulation, manufacture and experimental validation of a novel single-acting free-piston Stirling engine electric generator," Applied Energy, Elsevier, vol. 263(C).
    11. Jose Egas & Don M. Clucas, 2018. "Stirling Engine Configuration Selection," Energies, MDPI, vol. 11(3), pages 1-22, March.
    12. Yang, Wenhao & Feng, Huijun & Chen, Lingen & Ge, Yanlin, 2023. "Power and efficiency optimizations of a simple irreversible supercritical organic Rankine cycle," Energy, Elsevier, vol. 278(C).
    13. de la Bat, B.J.G. & Harms, T.M. & Dobson, R.T. & Bell, A.J., 2020. "Derivation and numerical case study of a one-dimensional, compressible-flow model of a novel free-piston Stirling engine," Energy, Elsevier, vol. 199(C).
    14. Bataineh, Khaled, 2018. "Mathematical formulation of alpha -type Stirling engine with Ross Yoke mechanism," Energy, Elsevier, vol. 164(C), pages 1178-1199.
    15. Mou, Jian & Hong, Guotong, 2017. "Startup mechanism and power distribution of free piston Stirling engine," Energy, Elsevier, vol. 123(C), pages 655-663.
    16. Ferreira, Ana Cristina & Silva, João & Teixeira, Senhorinha & Teixeira, José Carlos & Nebra, Silvia Azucena, 2020. "Assessment of the Stirling engine performance comparing two renewable energy sources: Solar energy and biomass," Renewable Energy, Elsevier, vol. 154(C), pages 581-597.
    17. Uchman, Wojciech & Kotowicz, Janusz & Li, Kin Fun, 2021. "Evaluation of a micro-cogeneration unit with integrated electrical energy storage for residential application," Applied Energy, Elsevier, vol. 282(PA).
    18. 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).
    19. Mussard, Maxime, 2017. "Solar energy under cold climatic conditions: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 733-745.
    20. Mohammed Wazed, Saeed & Hughes, Ben Richard & O’Connor, Dominic & Kaiser Calautit, John, 2018. "A review of sustainable solar irrigation systems for Sub-Saharan Africa," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 1206-1225.
    21. Chen, Pengfan & Yang, Peng & Liu, Liu & Liu, Yingwen, 2021. "Parametric investigation of the phase characteristics of a beta-type free piston Stirling engine based on a thermodynamic-dynamic coupled model," Energy, Elsevier, vol. 219(C).
    22. Rahmati, A. & Varedi-Koulaei, S.M. & Ahmadi, M.H. & Ahmadi, H., 2022. "Dynamic synthesis of the alpha-type stirling engine based on reducing the output velocity fluctuations using Metaheuristic algorithms," Energy, Elsevier, vol. 238(PB).
    23. Skorek-Osikowska, Anna & Kotowicz, Janusz & Uchman, Wojciech, 2017. "Thermodynamic assessment of the operation of a self-sufficient, biomass based district heating system integrated with a Stirling engine and biomass gasification," Energy, Elsevier, vol. 141(C), pages 1764-1778.
    24. Remiorz, Leszek & Kotowicz, Janusz & Uchman, Wojciech, 2018. "Comparative assessment of the effectiveness of a free-piston Stirling engine-based micro-cogeneration unit and a heat pump," Energy, Elsevier, vol. 148(C), pages 134-147.

    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. 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. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    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. 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.
    10. 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.
    11. Patel, Vivek & Savsani, Vimal & Mudgal, Anurag, 2017. "Many-objective thermodynamic optimization of Stirling heat engine," Energy, Elsevier, vol. 125(C), pages 629-642.
    12. Ferreira, Ana C. & Nunes, Manuel L. & Teixeira, José C.F. & Martins, Luís A.S.B. & Teixeira, Senhorinha F.C.F., 2016. "Thermodynamic and economic optimization of a solar-powered Stirling engine for micro-cogeneration purposes," Energy, Elsevier, vol. 111(C), pages 1-17.
    13. Ni, Mingjiang & Shi, Bingwei & Xiao, Gang & Peng, Hao & Sultan, Umair & Wang, Shurong & Luo, Zhongyang & Cen, Kefa, 2016. "Improved Simple Analytical Model and experimental study of a 100W β-type Stirling engine," Applied Energy, Elsevier, vol. 169(C), pages 768-787.
    14. 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.
    15. 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.
    16. 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).
    17. Tlili, I. & Vakkar, Ali, 2020. "Thermodynamic analysis and optimization of solar thermal engine: Performance enhancement," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 540(C).
    18. 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.
    19. Mojtaba Alborzi & Faramarz Sarhaddi & Fatemeh Sobhnamayan, 2019. "Optimization of the thermal lag Stirling engine performance," Energy & Environment, , vol. 30(1), pages 156-175, February.
    20. Karabulut, Halit & Okur, Melih & Halis, Serdar & Altin, Murat, 2019. "Thermodynamic, dynamic and flow friction analysis of a Stirling engine with Scotch yoke piston driving mechanism," Energy, Elsevier, vol. 168(C), pages 169-181.

    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:rensus:v:68:y:2017:i:p1:p:168-184. 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.elsevier.com/wps/find/journaldescription.cws_home/600126/description#description .

    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.