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Application of the multi-objective optimization method for designing a powered Stirling heat engine: Design with maximized power, thermal efficiency and minimized pressure loss

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  1. 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.
  2. Boyaghchi, Fateme Ahmadi & Chavoshi, Mansoure & Sabeti, Vajiheh, 2018. "Multi-generation system incorporated with PEM electrolyzer and dual ORC based on biomass gasification waste heat recovery: Exergetic, economic and environmental impact optimizations," Energy, Elsevier, vol. 145(C), pages 38-51.
  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. Ahmadi, Mohammad H. & Ahmadi, Mohammad Ali & Sadatsakkak, Seyed Abbas, 2015. "Thermodynamic analysis and performance optimization of irreversible Carnot refrigerator by using multi-objective evolutionary algorithms (MOEAs)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 1055-1070.
  5. 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).
  6. 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.
  7. Wu, TianXin & Wu, DengHao & Gao, ShuYu & Song, Yu & Ren, Yun & Mou, JieGang, 2023. "Multi-objective optimization and loss analysis of multistage centrifugal pumps," Energy, Elsevier, vol. 284(C).
  8. 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.
  9. Ahmadi, Mohammad Hossein & Ahmadi, Mohammad Ali, 2016. "Multi objective optimization of performance of three-heat-source irreversible refrigerators based algorithm NSGAII," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 784-794.
  10. 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).
  11. 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.
  12. Keshtkar, Mohammad Mehdi & Talebizadeh, Pouyan, 2017. "Multi-objective optimization of cooling water package based on 3E analysis: A case study," Energy, Elsevier, vol. 134(C), pages 840-849.
  13. 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.
  14. Ahmadi, Mohammad H. & Ahmadi, Mohammad Ali & Sadatsakkak, Seyed Abbas & Feidt, Michel, 2015. "Connectionist intelligent model estimates output power and torque of stirling engine," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 871-883.
  15. 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.
  16. 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.
  17. Samaniego Rascón, Danyela & Ferreira, Almerindo D. & Gameiro da Silva, Manuel, 2017. "Cumulative and momentary skin exposures to solar radiation in central receiver solar systems," Energy, Elsevier, vol. 137(C), pages 336-349.
  18. 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.
  19. Patel, Vivek & Savsani, Vimal & Mudgal, Anurag, 2017. "Many-objective thermodynamic optimization of Stirling heat engine," Energy, Elsevier, vol. 125(C), pages 629-642.
  20. Carrillo Caballero, Gaylord Enrique & Mendoza, Luis Sebastian & Martinez, Arnaldo Martin & Silva, Electo Eduardo & Melian, Vladimir Rafael & Venturini, Osvaldo José & del Olmo, Oscar Almazán, 2017. "Optimization of a Dish Stirling system working with DIR-type receiver using multi-objective techniques," Applied Energy, Elsevier, vol. 204(C), pages 271-286.
  21. 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.
  22. 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.
  23. Chin-Hsiang Cheng & Duc-Thuan Phung, 2021. "Numerical Optimization of the β-Type Stirling Engine Performance Using the Variable-Step Simplified Conjugate Gradient Method," Energies, MDPI, vol. 14(23), pages 1-14, November.
  24. 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.
  25. Ahmadi, Mohammad H. & Ahmadi, Mohammad Ali & Pourfayaz, Fathollah & Hosseinzade, Hadi & Acıkkalp, Emin & Tlili, Iskander & Feidt, Michel, 2016. "Designing a powered combined Otto and Stirling cycle power plant through multi-objective optimization approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 585-595.
  26. Mohammad Hossein Ahmadi & Mohammad-Ali Ahmadi & Mehdi Mehrpooya & Marc A. Rosen, 2015. "Using GMDH Neural Networks to Model the Power and Torque of a Stirling Engine," Sustainability, MDPI, vol. 7(2), pages 1-13, February.
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