IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v540y2020ics0378437119317005.html
   My bibliography  Save this article

Thermo-hydraulic and economic optimization of Iranol refinery oil heat exchanger with Copper oxide nanoparticles using MOMBO

Author

Listed:
  • Daniali, Omid Ali
  • Toghraie, Davood
  • Eftekhari, S. Ali

Abstract

Thermal efficiency and total cost are essential parameters in the design of shell and tube heat exchanger. In this study, both of these parameters are considered as two separate objective functions. Total cost includes the cost of construction and the cost of operation. In this research, Copper oxide/ Iranol refinery oil nanofluids are used as cold side fluid to increase thermal efficiency. Optimization result will be a Pareto frontier curve instead of a single point. The NTU-ε method was used to calculate the thermal efficiency, and the Bel-Delawer method was used to calculate the pressure drop. In order to resolve this problem, natural base inspired algorithms have been used to minimize the chances of tapping into the optimal local minima. The results show that the difference in the predicted values is satisfactory, and the maximum error is less than 10% and related to the oil outlet temperature. Modeling results predict the heat transfer rate approximate 511 kW, while the actual results for heat duty were 490 kW (error: 4%). The results of sensitivity analysis show that the heat exchanger length and number of tubes have the greatest effect in increasing cost and increasing the efficiency.

Suggested Citation

  • Daniali, Omid Ali & Toghraie, Davood & Eftekhari, S. Ali, 2020. "Thermo-hydraulic and economic optimization of Iranol refinery oil heat exchanger with Copper oxide nanoparticles using MOMBO," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 540(C).
    • Handle: RePEc:eee:phsmap:v:540:y:2020:i:c:s0378437119317005
    DOI: 10.1016/j.physa.2019.123010
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437119317005
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
    File URL: https://libkey.io/10.1016/j.physa.2019.123010?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. Hemmat Esfe, Mohammad & Hajmohammad, Hadi & Toghraie, Davood & Rostamian, Hadi & Mahian, Omid & Wongwises, Somchai, 2017. "Multi-objective optimization of nanofluid flow in double tube heat exchangers for applications in energy systems," Energy, Elsevier, vol. 137(C), pages 160-171.
    2. Ruhani, Behrooz & Toghraie, Davood & Hekmatifar, Maboud & Hadian, Mahdieh, 2019. "Statistical investigation for developing a new model for rheological behavior of ZnO–Ag (50%–50%)/Water hybrid Newtonian nanofluid using experimental data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 741-751.
    3. Azad, Abazar Vahdat & Amidpour, Majid, 2011. "Economic optimization of shell and tube heat exchanger based on constructal theory," Energy, Elsevier, vol. 36(2), pages 1087-1096.
    4. Ruhani, Behrooz & Barnoon, Pouya & Toghraie, Davood, 2019. "Statistical investigation for developing a new model for rheological behavior of Silica–ethylene glycol/Water hybrid Newtonian nanofluid using experimental data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 616-627.
    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. Dizaji, Hamed Sadighi & Pourhedayat, Samira & Aldawi, Fayez & Moria, Hazim & Anqi, Ali E. & Jarad, Fahd, 2022. "Proposing an innovative and explicit economic criterion for all passive heat transfer enhancement techniques of heat exchangers," Energy, Elsevier, vol. 239(PC).
    2. Marzouk, S.A. & Abou Al-Sood, M.M. & M.S. El-Said, Emad & Younes, M.M. & K. El-Fakharany, Magda, 2023. "Evaluating the effects of bifurcation angle on the performance of a novel heat exchanger based on contractual theory," Renewable Energy, Elsevier, vol. 219(P1).

    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. Toghraie, Davood & Sina, Nima & Jolfaei, Niyusha Adavoodi & Hajian, Mehdi & Afrand, Masoud, 2019. "Designing an Artificial Neural Network (ANN) to predict the viscosity of Silver/Ethylene glycol nanofluid at different temperatures and volume fraction of nanoparticles," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).
    2. Rostami, Sara & Ahmadi-Danesh-Ashtiani, Hossein & Toghraie, Davood & Fazaeli, Reza, 2020. "A statistical method for simulation of boiling flow inside a Platinum microchannel," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 548(C).
    3. Talebizadehsardari, Pouyan & Shahsavar, Amin & Toghraie, Davood & Barnoon, Pouya, 2019. "An experimental investigation for study the rheological behavior of water–carbon nanotube/magnetite nanofluid subjected to a magnetic field," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).
    4. Xiaohong, Dai & Huajiang, Chen & Bagherzadeh, Seyed Amin & Shayan, Masoud & Akbari, Mohammad, 2020. "Statistical estimation the thermal conductivity of MWCNTs-SiO2/Water-EG nanofluid using the ridge regression method," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 537(C).
    5. Ahmed, Waqar & Kazi, S.N. & Chowdhury, Z.Z. & Johan, Mohd Rafie Bin & Mehmood, Shahid & Soudagar, Manzoore Elahi M. & Mujtaba, M.A. & Gul, M. & Ahmad, Muhammad Shakeel, 2021. "Heat transfer growth of sonochemically synthesized novel mixed metal oxide ZnO+Al2O3+TiO2/DW based ternary hybrid nanofluids in a square flow conduit," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    6. Ahmadi, Mohammad Hossein & Ghazvini, Mahyar & Maddah, Heydar & Kahani, Mostafa & Pourfarhang, Samira & Pourfarhang, Amin & Heris, Saeed Zeinali, 2020. "Prediction of the pressure drop for CuO/(Ethylene glycol-water) nanofluid flows in the car radiator by means of Artificial Neural Networks analysis integrated with genetic algorithm," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 546(C).
    7. Sarafraz, M.M. & Tlili, I. & Tian, Zhe & Bakouri, Mohsen & Safaei, Mohammad Reza, 2019. "Smart optimization of a thermosyphon heat pipe for an evacuated tube solar collector using response surface methodology (RSM)," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).
    8. Wu, Zhixiang & Feng, Huijun & Chen, Lingen & Xie, Zhuojun & Cai, Cunguang, 2019. "Pumping power minimization of an evaporator in ocean thermal energy conversion system based on constructal theory," Energy, Elsevier, vol. 181(C), pages 974-984.
    9. Singh, Pushpendra & Meena, Nand K. & Yang, Jin & Vega-Fuentes, Eduardo & Bishnoi, Shree Krishna, 2020. "Multi-criteria decision making monarch butterfly optimization for optimal distributed energy resources mix in distribution networks," Applied Energy, Elsevier, vol. 278(C).
    10. Li, You-Rong & Du, Mei-Tang & Wu, Shuang-Ying & Peng, Lan & Liu, Chao, 2012. "Exergoeconomic analysis and optimization of a condenser for a binary mixture of vapors in organic Rankine cycle," Energy, Elsevier, vol. 40(1), pages 341-347.
    11. Hemmat Esfe, Mohammad & Abbasian Arani, Ali Akbar & Esfandeh, Saeed & Afrand, Masoud, 2019. "Proposing new hybrid nano-engine oil for lubrication of internal combustion engines: Preventing cold start engine damages and saving energy," Energy, Elsevier, vol. 170(C), pages 228-238.
    12. Heidar Sadeghzadeh & Mehdi Aliehyaei & Marc A. Rosen, 2015. "Optimization of a Finned Shell and Tube Heat Exchanger Using a Multi-Objective Optimization Genetic Algorithm," Sustainability, MDPI, vol. 7(9), pages 1-17, August.
    13. Mahyari, Amirhossein Ansari & Karimipour, Arash & Afrand, Masoud, 2019. "Effects of dispersed added Graphene Oxide-Silicon Carbide nanoparticles to present a statistical formulation for the mixture thermal properties," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 521(C), pages 98-112.
    14. Mohtaram, Soheil & Sun, HongGuang & Lin, Ji & Chen, Wen & Sun, Yonghui, 2020. "Multi-Objective Evolutionary Optimization & 4E analysis of a bulky combined cycle power plant by CO2/ CO/ NOx reduction and cost controlling targets," Renewable and Sustainable Energy Reviews, Elsevier, vol. 128(C).
    15. Afrouzi, Hamid Hassanzadeh & Ahmadian, Majid & Moshfegh, Abouzar & Toghraie, Davood & Javadzadegan, Ashkan, 2019. "Statistical analysis of pulsating non-Newtonian flow in a corrugated channel using Lattice-Boltzmann method," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 535(C).
    16. Nakhchi, M.E. & Hatami, M. & Rahmati, M., 2021. "A numerical study on the effects of nanoparticles and stair fins on performance improvement of phase change thermal energy storages," Energy, Elsevier, vol. 215(PA).
    17. Bommana Lavanya & Jorige Girish Kumar & Macherla Jayachandra Babu & Chakravarthula Sivakrishnam Raju & Nehad Ali Shah & Prem Junsawang, 2022. "Irreversibility Analysis in the Ethylene Glycol Based Hybrid Nanofluid Flow amongst Expanding/Contracting Walls When Quadratic Thermal Radiation and Arrhenius Activation Energy Are Significant," Mathematics, MDPI, vol. 10(16), pages 1-22, August.
    18. 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.
    19. Mehrgoo, Morteza & Amidpour, Majid, 2017. "Constructal design and optimization of a dual pressure heat recovery steam generator," Energy, Elsevier, vol. 124(C), pages 87-99.
    20. Chatterjee, Abheek & Layton, Astrid, 2020. "Mimicking nature for resilient resource and infrastructure network design," Reliability Engineering and System Safety, Elsevier, vol. 204(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:eee:phsmap:v:540:y:2020:i:c:s0378437119317005. 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/physica-a-statistical-mechpplications/ .

    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.