IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i20p4000-d278782.html
   My bibliography  Save this article

Thermodynamic Assessment and Multi-Objective Optimization of Performance of Irreversible Dual-Miller Cycle

Author

Listed:
  • Shahriyar Abedinnezhad

    (Department of Aerospace Engineering, Sharif University of Technology, Tehran, Iran)

  • Mohammad Hossein Ahmadi

    (Faculty of Mechanical Engineering, Shahrood University of Technology, Shahrood, Iran)

  • Seyed Mohsen Pourkiaei

    (Department of Renewable Energy and Environmental Engineering, University of Tehran, Tehran, Iran)

  • Fathollah Pourfayaz

    (Department of Renewable Energy and Environmental Engineering, University of Tehran, Tehran, Iran)

  • Amir Mosavi

    (Kalman Kando Faculty of Electrical Engineering, Obuda University, Budapest 1034, Hungary
    School of the Built Environment, Oxford Brookes University, Oxford OX30BP, UK
    Faculty of Health, Queensland University of Technology, Brisbane QLD 4059, Australia)

  • Michel Feidt

    (University of Lorraine, LEMTA, 2 avenue de la forêt de Haye 54516 Vandoeuvre les Nancy, France)

  • Shahaboddin Shamshirband

    (Department for Management of Science and Technology Development, Ton Duc Thang University, Ho Chi Minh City, Vietnam
    Faculty of Information Technology, Ton Duc Thang University, Ho Chi Minh City, Vietnam)

Abstract

In this study, a new series of assessments and evaluations of the Dual-Miller cycle is performed. Furthermore, the specified output power and the thermal performance associated with the engine are determined. Besides, multi-objective optimization of thermal efficiency, ecological coefficient of performance (ECOP) and ecological function ( E u n ) by means of NSGA-II technique and thermodynamic analysis are presented. The Pareto optimal frontier obtaining the best optimum solution is identified by fuzzy Bellman-Zadeh, Linear Programming Technique for Multidimensional Analysis of Preference (LINMAP), and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) decision-making techniques. Based on the results, performances of dual-Miller cycles and their optimization are improved. For the results of the condition that ( n < k ) the best point has been LINMAP answer. The thermal efficiency for this point has been 0.5388. In addition, ECOP and E u n have been 1.6899 and 279.221, respectively. For the results of the condition that ( n > k ) the best point has been LINMAP and TOPSIS answer. The thermal efficiency for this point has been 0.5385. Also, ECOP and E u n have been 1.6875 and 279.7315, respectively. Furthermore, the errors are examined through comparison of the average and maximum errors of the two scenarios.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:20:p:4000-:d:278782
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/20/4000/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/12/20/4000/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mahmoudimehr, Javad & Sebghati, Parvin, 2019. "A novel multi-objective Dynamic Programming optimization method: Performance management of a solar thermal power plant as a case study," Energy, Elsevier, vol. 168(C), pages 796-814.
    2. Qin, Yinghong, 2015. "A review on the development of cool pavements to mitigate urban heat island effect," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 445-459.
    3. Ust, Yasin & Arslan, Feyyaz & Ozsari, Ibrahim & Cakir, Mehmet, 2015. "Thermodynamic performance analysis and optimization of DMC (Dual Miller Cycle) cogeneration system by considering exergetic performance coefficient and total exergy output criteria," Energy, Elsevier, vol. 90(P1), pages 552-559.
    4. Arora, Ranjana & Kaushik, S.C. & Arora, Rajesh, 2015. "Multi-objective and multi-parameter optimization of two-stage thermoelectric generator in electrically series and parallel configurations through NSGA-II," Energy, Elsevier, vol. 91(C), pages 242-254.
    5. Long, Rui & Li, Baode & Liu, Zhichun & Liu, Wei, 2016. "Ecological analysis of a thermally regenerative electrochemical cycle," Energy, Elsevier, vol. 107(C), pages 95-102.
    6. 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.
    7. 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.
    8. Deb, Madhujit & Debbarma, Bishop & Majumder, Arindam & Banerjee, Rahul, 2016. "Performance –emission optimization of a diesel-hydrogen dual fuel operation: A NSGA II coupled TOPSIS MADM approach," Energy, Elsevier, vol. 117(P1), pages 281-290.
    9. Zhao, Jinxing, 2017. "Research and application of over-expansion cycle (Atkinson and Miller) engines – A review," Applied Energy, Elsevier, vol. 185(P1), pages 300-319.
    10. 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.
    11. Bahman Najafi & Sina Faizollahzadeh Ardabili & Amir Mosavi & Shahaboddin Shamshirband & Timon Rabczuk, 2018. "An Intelligent Artificial Neural Network-Response Surface Methodology Method for Accessing the Optimum Biodiesel and Diesel Fuel Blending Conditions in a Diesel Engine from the Viewpoint of Exergy and," Energies, MDPI, vol. 11(4), pages 1-18, April.
    12. Ahmadi, Mohammad H. & Jokar, Mohammad Ali & Ming, Tingzhen & Feidt, Michel & Pourfayaz, Fathollah & Astaraei, Fatemeh Razi, 2018. "Multi-objective performance optimization of irreversible molten carbonate fuel cell–Braysson heat engine and thermodynamic analysis with ecological objective approach," Energy, Elsevier, vol. 144(C), pages 707-722.
    13. Ust, Yasin & Sahin, Bahri & Sogut, Oguz Salim, 2005. "Performance analysis and optimization of an irreversible dual-cycle based on an ecological coefficient of performance criterion," Applied Energy, Elsevier, vol. 82(1), pages 23-39, September.
    14. Gonca, Guven, 2016. "Comparative performance analyses of irreversible OMCE (Otto Miller cycle engine)-DiMCE (Diesel miller cycle engine)-DMCE (Dual Miller cycle engine)," Energy, Elsevier, vol. 109(C), pages 152-159.
    15. Xu, Fangqiu & Liu, Jicheng & Lin, Shuaishuai & Dai, Qiongjie & Li, Cunbin, 2018. "A multi-objective optimization model of hybrid energy storage system for non-grid-connected wind power: A case study in China," Energy, Elsevier, vol. 163(C), pages 585-603.
    16. Konak, Abdullah & Coit, David W. & Smith, Alice E., 2006. "Multi-objective optimization using genetic algorithms: A tutorial," Reliability Engineering and System Safety, Elsevier, vol. 91(9), pages 992-1007.
    17. Mousapour, Ashkan & Hajipour, Alireza & Rashidi, Mohammad Mehdi & Freidoonimehr, Navid, 2016. "Performance evaluation of an irreversible Miller cycle comparing FTT (finite-time thermodynamics) analysis and ANN (artificial neural network) prediction," Energy, Elsevier, vol. 94(C), pages 100-109.
    18. Chen, Lingen & Sun, Fengrui & Wu, Chih, 2004. "Optimal performance of an irreversible dual-cycle," Applied Energy, Elsevier, vol. 79(1), pages 3-14, September.
    19. 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.
    20. Qin, Yinghong & Zhang, Mingyi & Hiller, Jacob E., 2017. "Theoretical and experimental studies on the daily accumulative heat gain from cool roofs," Energy, Elsevier, vol. 129(C), pages 138-147.
    21. Wang, Shouxiang & Wang, Kai & Teng, Fei & Strbac, Goran & Wu, Lei, 2018. "An affine arithmetic-based multi-objective optimization method for energy storage systems operating in active distribution networks with uncertainties," Applied Energy, Elsevier, vol. 223(C), pages 215-228.
    22. Gonca, Guven & Sahin, Bahri & Parlak, Adnan & Ust, Yasin & Ayhan, Vezir & Cesur, İdris & Boru, Barış, 2015. "Theoretical and experimental investigation of the Miller cycle diesel engine in terms of performance and emission parameters," Applied Energy, Elsevier, vol. 138(C), pages 11-20.
    23. Toffolo, A. & Lazzaretto, A., 2002. "Evolutionary algorithms for multi-objective energetic and economic optimization in thermal system design," Energy, Elsevier, vol. 27(6), pages 549-567.
    24. Cui, Taowen & Zhao, Wanzhong & Wang, Chunyan, 2019. "Design optimization of vehicle EHPS system based on multi-objective genetic algorithm," Energy, Elsevier, vol. 179(C), pages 100-110.
    25. 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.
    26. Gonca, Guven & Sahin, Bahri & Ust, Yasin, 2013. "Performance maps for an air-standard irreversible Dual–Miller cycle (DMC) with late inlet valve closing (LIVC) version," Energy, Elsevier, vol. 54(C), pages 285-290.
    27. 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.
    28. Chen, Lingen & Zhang, Wanli & Sun, Fengrui, 2007. "Power, efficiency, entropy-generation rate and ecological optimization for a class of generalized irreversible universal heat-engine cycles," Applied Energy, Elsevier, vol. 84(5), pages 512-525, May.
    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. Huijun Feng & Wei Tang & Lingen Chen & Junchao Shi & Zhixiang Wu, 2021. "Multi-Objective Constructal Optimization for Marine Condensers," Energies, MDPI, vol. 14(17), pages 1-18, September.
    2. Chenqi Tang & Lingen Chen & Huijun Feng & Wenhua Wang & Yanlin Ge, 2020. "Power Optimization of a Modified Closed Binary Brayton Cycle with Two Isothermal Heating Processes and Coupled to Variable-Temperature Reservoirs," Energies, MDPI, vol. 13(12), pages 1-21, June.
    3. Pengchao Zang & Lingen Chen & Yanlin Ge, 2022. "Maximizing Efficient Power for an Irreversible Porous Medium Cycle with Nonlinear Variation of Working Fluid’s Specific Heat," Energies, MDPI, vol. 15(19), pages 1-12, September.
    4. Lingen Chen & Kang Ma & Huijun Feng & Yanlin Ge, 2020. "Optimal Configuration of a Gas Expansion Process in a Piston-Type Cylinder with Generalized Convective Heat Transfer Law," Energies, MDPI, vol. 13(12), pages 1-20, June.

    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. & 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.
    2. 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.
    3. 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.
    4. 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.
    5. Gonca, Guven, 2016. "Comparative performance analyses of irreversible OMCE (Otto Miller cycle engine)-DiMCE (Diesel miller cycle engine)-DMCE (Dual Miller cycle engine)," Energy, Elsevier, vol. 109(C), pages 152-159.
    6. Gonca, Guven & Sahin, Bahri & Parlak, Adnan & Ayhan, Vezir & Cesur, Idris & Koksal, Sakip, 2017. "Investigation of the effects of the steam injection method (SIM) on the performance and emission formation of a turbocharged and Miller cycle diesel engine (MCDE)," Energy, Elsevier, vol. 119(C), pages 926-937.
    7. 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.
    8. 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.
    9. Meng, Fankai & Chen, Lingen & Feng, Yuanli & Xiong, Bing, 2017. "Thermoelectric generator for industrial gas phase waste heat recovery," Energy, Elsevier, vol. 135(C), pages 83-90.
    10. Gonca, Guven & Dobrucali, Erinc, 2016. "Theoretical and experimental study on the performance of a diesel engine fueled with diesel–biodiesel blends," Renewable Energy, Elsevier, vol. 93(C), pages 658-666.
    11. Ahmadi, Mohammad H. & Jokar, Mohammad Ali & Ming, Tingzhen & Feidt, Michel & Pourfayaz, Fathollah & Astaraei, Fatemeh Razi, 2018. "Multi-objective performance optimization of irreversible molten carbonate fuel cell–Braysson heat engine and thermodynamic analysis with ecological objective approach," Energy, Elsevier, vol. 144(C), pages 707-722.
    12. Gonca, Guven, 2017. "Exergetic and ecological performance analyses of a gas turbine system with two intercoolers and two re-heaters," Energy, Elsevier, vol. 124(C), pages 579-588.
    13. Ust, Yasin & Arslan, Feyyaz & Ozsari, Ibrahim & Cakir, Mehmet, 2015. "Thermodynamic performance analysis and optimization of DMC (Dual Miller Cycle) cogeneration system by considering exergetic performance coefficient and total exergy output criteria," Energy, Elsevier, vol. 90(P1), pages 552-559.
    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. Açıkkalp, Emin & Caner, Necmettin, 2015. "Determining of the optimum performance of a nano scale irreversible Dual cycle with quantum gases as working fluid by using different methods," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 433(C), pages 247-258.
    16. Manh, Tran Dinh & Jafaryar, M. & Hamad, Samir Mustafa & Barzinjy, Azeez A. & Shafee, Ahmad & Abohamzeh, Elham & Tlili, Iskander, 2020. "Nanoparticles hydrothermal simulation in a pipe with insertion of compound turbulator analyzing entropy generation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 542(C).
    17. 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.
    18. Wu, Heng & Ge, Yanlin & Chen, Lingen & Feng, Huijun, 2021. "Power, efficiency, ecological function and ecological coefficient of performance optimizations of irreversible Diesel cycle based on finite piston speed," Energy, Elsevier, vol. 216(C).
    19. Cai, Yuhao & Qian, Xin & Su, Ruihang & Jia, Xiongjie & Ying, Jinhui & Zhao, Tianshou & Jiang, Haoran, 2024. "Thermo-electrochemical modeling of thermally regenerative flow batteries," Applied Energy, Elsevier, vol. 355(C).
    20. Manh, Tran Dinh & Tlili, I. & Shafee, Ahmad & Nguyen-Thoi, Trung & Hamouda, Hassen, 2020. "Modeling of hybrid nanofluid behavior within a permeable media involving buoyancy effect," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 554(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:gam:jeners:v:12:y:2019:i:20:p:4000-:d:278782. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.