IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v181y2019icp345-359.html
   My bibliography  Save this article

Coupled POD-Bayesian estimation of the parameters of mathematical model of the packed-bed drying of cherry stones

Author

Listed:
  • Buliński, Zbigniew
  • Orlande, Helcio R.B.
  • Krysiński, Tomasz
  • Werle, Sebastian
  • Ziółkowski, Łukasz

Abstract

This paper deals with the Bayesian estimation of flow parameters in a porous material based on the measurements of local temperature at selected points inside the packed-bed. The unknown probability distribution function of estimated parameters was sampled using a Markov Chain Monte Carlo (MCMC) method. The MCMC method is efficient in sampling unknown distributions, but it is extremely time-consuming. The Proper Orthogonal Decomposition was used to construct off-line, low order approximation of the porous media flow problem. This model was further incorporated into the Metropolis-Hastings algorithm to retrieve the posterior distribution of the unknown parameters. This approach allowed us to decrease the computational time necessary to generate an ergodic Markov Chain. The efficiency of the proposed approach was tested on the simulated data generated with commercial CFD tools, and finally, it was applied to the real data acquired on the dedicated experimental stand.

Suggested Citation

  • Buliński, Zbigniew & Orlande, Helcio R.B. & Krysiński, Tomasz & Werle, Sebastian & Ziółkowski, Łukasz, 2019. "Coupled POD-Bayesian estimation of the parameters of mathematical model of the packed-bed drying of cherry stones," Energy, Elsevier, vol. 181(C), pages 345-359.
    • Handle: RePEc:eee:energy:v:181:y:2019:i:c:p:345-359
    DOI: 10.1016/j.energy.2019.05.166
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544219310485
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2019.05.166?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. Sonthikun, Sonthawi & Chairat, Phaochinnawat & Fardsin, Kitti & Kirirat, Pairoj & Kumar, Anil & Tekasakul, Perapong, 2016. "Computational fluid dynamic analysis of innovative design of solar-biomass hybrid dryer: An experimental validation," Renewable Energy, Elsevier, vol. 92(C), pages 185-191.
    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. Kaczor, Zuzanna & Buliński, Zbigniew & Sobek, Szymon & Werle, Sebastian, 2021. "Application of inverse methodology to estimate unknown parameters of the mathematical model of biomass solar pyrolysis," Renewable Energy, Elsevier, vol. 163(C), pages 858-869.

    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. Zoukit, Ahmed & El Ferouali, Hicham & Salhi, Issam & Doubabi, Said & Abdenouri, Naji, 2019. "Simulation, design and experimental performance evaluation of an innovative hybrid solar-gas dryer," Energy, Elsevier, vol. 189(C).
    2. Silva, Gisele Mol da & Ferreira, André Guimarães & Coutinho, Rogério Morouço & Maia, Cristiana Brasil, 2021. "Energy and exergy analysis of the drying of corn grains," Renewable Energy, Elsevier, vol. 163(C), pages 1942-1950.
    3. Dejchanchaiwong, Racha & Kumar, Anil & Tekasakul, Perapong, 2019. "Performance and economic analysis of natural convection based rubber smoking room for rubber cooperatives in Thailand," Renewable Energy, Elsevier, vol. 132(C), pages 233-242.
    4. Dake, Rock Aymar & N’Tsoukpoe, Kokouvi Edem & Kuznik, Frédéric & Lèye, Babacar & Ouédraogo, Igor W.K., 2021. "A review on the use of sorption materials in solar dryers," Renewable Energy, Elsevier, vol. 175(C), pages 965-979.
    5. Duque-Dussán, Eduardo & Sanz-Uribe, Juan R. & Banout, Jan, 2023. "Design and evaluation of a hybrid solar dryer for postharvesting processing of parchment coffee," Renewable Energy, Elsevier, vol. 215(C).
    6. Dejchanchaiwong, Racha & Tirawanichakul, Yutthana & Tirawanichakul, Supawan & Kumar, Anil & Tekasakul, Perapong, 2017. "Techno-economic assessment of forced-convection rubber smoking room for rubber cooperatives," Energy, Elsevier, vol. 137(C), pages 152-159.
    7. Özge Çepelioğullar Mutlu & Daniel Büchner & Steffi Theurich & Thomas Zeng, 2021. "Combined Use of Solar and Biomass Energy for Sustainable and Cost-Effective Low-Temperature Drying of Food Processing Residues on Industrial-Scale," Energies, MDPI, vol. 14(3), pages 1-22, January.
    8. Ortiz-Rodríguez, N.M. & Marín-Camacho, J.F. & González, A. Llamas- & García-Valladares, O., 2021. "Drying kinetics of natural rubber sheets under two solar thermal drying systems," Renewable Energy, Elsevier, vol. 165(P1), pages 438-454.
    9. Atalay, Halil & Aslan, Volkan, 2023. "Advanced exergoeconomic and exergy performance assessments of a wind and solar energy powered hybrid dryer," Renewable Energy, Elsevier, vol. 209(C), pages 218-230.
    10. Wengang Hao & Shuonan Liu & Baoqi Mi & Yanhua Lai, 2020. "Mathematical Modeling and Performance Analysis of a New Hybrid Solar Dryer of Lemon Slices for Controlling Drying Temperature," Energies, MDPI, vol. 13(2), pages 1-23, January.
    11. Husham Abdulmalek, Shaymaa & Khalaji Assadi, Morteza & Al-Kayiem, Hussain H. & Gitan, Ali Ahmed, 2018. "A comparative analysis on the uniformity enhancement methods of solar thermal drying," Energy, Elsevier, vol. 148(C), pages 1103-1115.
    12. Yahya, M. & Rachman, Arfidian & Hasibuan, R., 2022. "Performance analysis of solar-biomass hybrid heat pump batch-type horizontal fluidized bed dryer using multi-stage heat exchanger for paddy drying," Energy, Elsevier, vol. 254(PB).
    13. Anand, Sumeet & Mishra, Dipti Prasad & Sarangi, Shailesh Kumar, 2020. "CFD supported performance analysis of an innovative biomass dryer," Renewable Energy, Elsevier, vol. 159(C), pages 860-872.
    14. Guo, Shaopeng & Liu, Qibin & Sun, Jie & Jin, Hongguang, 2018. "A review on the utilization of hybrid renewable energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 1121-1147.
    15. Kong, Decheng & Wang, Yunfeng & Li, Ming & Liang, Jingkang, 2024. "A comprehensive review of hybrid solar dryers integrated with auxiliary energy and units for agricultural products," Energy, Elsevier, vol. 293(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:energy:v:181:y:2019:i:c:p:345-359. 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.