IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v162y2018icp753-763.html
   My bibliography  Save this article

Modeling and thermoeconomic optimization of marine diesel charge air cooler

Author

Listed:
  • Momeni, Seyed Mohsen
  • Salehi, Gholamreza
  • Nimvari, Majid Eshagh

Abstract

This study presents a theoretical model for multi-objective optimization of marine diesel charge air cooler by firefly algorithm. By considering the overall cost and exergy destruction minimization as objective functions, energy and exergy analysis is carried out for multi-objective optimization design of a heat exchanger. Sensitivity analysis is performed to find out the effect of design parameters on the objective functions. Firefly algorithm is used to generate a set of Pareto optimum points and a normalized form of the Pareto front is applied as a decision-making approach to finding out optimum solutions. The theoretical model in the present study is verified by an experimental data and shows a good agreement between the current results and the experimental data. Also, the Pareto front shows that irreversible losses decrease while total cost increases and vice versa. Multi-objective optimization results reveal that overall cost and exergy destructions are reduced by 4.03% and 7.66%, respectively. Water pressure drop is decreased by 12.41% and air pressure drop is reduced by 2.95%.

Suggested Citation

  • Momeni, Seyed Mohsen & Salehi, Gholamreza & Nimvari, Majid Eshagh, 2018. "Modeling and thermoeconomic optimization of marine diesel charge air cooler," Energy, Elsevier, vol. 162(C), pages 753-763.
    • Handle: RePEc:eee:energy:v:162:y:2018:i:c:p:753-763
    DOI: 10.1016/j.energy.2018.08.092
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544218316281
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2018.08.092?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. Sanaye, Sepehr & Dehghandokht, Masoud, 2011. "Modeling and multi-objective optimization of parallel flow condenser using evolutionary algorithm," Applied Energy, Elsevier, vol. 88(5), pages 1568-1577, May.
    2. Gholap, A.K. & Khan, J.A., 2007. "Design and multi-objective optimization of heat exchangers for refrigerators," Applied Energy, Elsevier, vol. 84(12), pages 1226-1239, December.
    3. Hadidi, Amin, 2015. "A robust approach for optimal design of plate fin heat exchangers using biogeography based optimization (BBO) algorithm," Applied Energy, Elsevier, vol. 150(C), pages 196-210.
    Full references (including those not matched with items on IDEAS)

    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, Xianglong & Yi, Zhitong & Zhang, Bingjian & Mo, Songping & Wang, Chao & Song, Mengjie & Chen, Ying, 2017. "Mathematical modelling and optimization of the liquid separation condenser used in organic Rankine cycle," Applied Energy, Elsevier, vol. 185(P2), pages 1309-1323.
    2. Wang, Limin & Deng, Lei & Ji, Chenglong & Liang, Erkai & Wang, Changxia & Che, Defu, 2016. "Multi-objective optimization of geometrical parameters of corrugated-undulated heat transfer surfaces," Applied Energy, Elsevier, vol. 174(C), pages 25-36.
    3. Lee, Su Kyoung & Lee, Jae Won & Lee, Hoseong & Chung, Jin Taek & Kang, Yong Tae, 2019. "Optimal design of generators for H2O/LiBr absorption chiller with multi-heat sources," Energy, Elsevier, vol. 167(C), pages 47-59.
    4. 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.
    5. Xu, Yun-Chao & Chen, Qun, 2013. "A theoretical global optimization method for vapor-compression refrigeration systems based on entransy theory," Energy, Elsevier, vol. 60(C), pages 464-473.
    6. Wang, Zhe & Li, Yanzhong, 2016. "A combined method for surface selection and layer pattern optimization of a multistream plate-fin heat exchanger," Applied Energy, Elsevier, vol. 165(C), pages 815-827.
    7. Bahadori, Alireza, 2011. "Simple method for estimation of effectiveness in one tube pass and one shell pass counter-flow heat exchangers," Applied Energy, Elsevier, vol. 88(11), pages 4191-4196.
    8. Hossieny, Nemat & Shrestha, Som S. & Owusu, Osei A. & Natal, Manuel & Benson, Rick & Desjarlais, Andre, 2019. "Improving the energy efficiency of a refrigerator-freezer through the use of a novel cabinet/door liner based on polylactide biopolymer," Applied Energy, Elsevier, vol. 235(C), pages 1-9.
    9. Delgarm, N. & Sajadi, B. & Kowsary, F. & Delgarm, S., 2016. "Multi-objective optimization of the building energy performance: A simulation-based approach by means of particle swarm optimization (PSO)," Applied Energy, Elsevier, vol. 170(C), pages 293-303.
    10. Shao, Liang-Liang & Yang, Liang & Zhang, Chun-Lu, 2010. "Comparison of heat pump performance using fin-and-tube and microchannel heat exchangers under frost conditions," Applied Energy, Elsevier, vol. 87(4), pages 1187-1197, April.
    11. Yuan, Yi & Ding, Tao & Chang, Xinyue & Jia, Wenhao & Xue, Yixun, 2024. "A distributed multi-objective optimization method for scheduling of integrated electricity and hydrogen systems," Applied Energy, Elsevier, vol. 355(C).
    12. Cheng, Wen-Long & Mei, Bao-Jun & Liu, Yi-Ning & Huang, Yong-Hua & Yuan, Xu-Dong, 2011. "A novel household refrigerator with shape-stabilized PCM (Phase Change Material) heat storage condensers: An experimental investigation," Energy, Elsevier, vol. 36(10), pages 5797-5804.
    13. Geyer, Philipp & Schlüter, Arno, 2014. "Automated metamodel generation for Design Space Exploration and decision-making – A novel method supporting performance-oriented building design and retrofitting," Applied Energy, Elsevier, vol. 119(C), pages 537-556.
    14. Sanaye, Sepehr & Dehghandokht, Masoud, 2011. "Modeling and multi-objective optimization of parallel flow condenser using evolutionary algorithm," Applied Energy, Elsevier, vol. 88(5), pages 1568-1577, May.
    15. Mallikarjun, Sreekanth & Lewis, Herbert F., 2014. "Energy technology allocation for distributed energy resources: A strategic technology-policy framework," Energy, Elsevier, vol. 72(C), pages 783-799.
    16. Ascione, Fabrizio & Bianco, Nicola & De Stasio, Claudio & Mauro, Gerardo Maria & Vanoli, Giuseppe Peter, 2016. "Multi-stage and multi-objective optimization for energy retrofitting a developed hospital reference building: A new approach to assess cost-optimality," Applied Energy, Elsevier, vol. 174(C), pages 37-68.
    17. Rashidi, Saman & Kashefi, Mohammad Hossein & Kim, Kyung Chun & Samimi-Abianeh, Omid, 2019. "Potentials of porous materials for energy management in heat exchangers – A comprehensive review," Applied Energy, Elsevier, vol. 243(C), pages 206-232.
    18. Zhou, Guo-Yan & Wu, En & Tu, Shan-Tung, 2014. "Optimum selection of compact heat exchangers using non-structural fuzzy decision method," Applied Energy, Elsevier, vol. 113(C), pages 1801-1809.
    19. Hadidi, Amin, 2017. "A novel approach for optimization of electrically serial two-stage thermoelectric refrigeration systems using chemical reaction optimization (CRO) algorithm," Energy, Elsevier, vol. 140(P1), pages 170-184.
    20. Manjunath, K. & Kaushik, S.C., 2014. "Second law thermodynamic study of heat exchangers: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 348-374.

    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:162:y:2018:i:c:p:753-763. 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.