IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i5p2818-d511194.html
   My bibliography  Save this article

Highly Efficient Deacidification Process for Camelina sativa Crude Oil by Molecular Distillation

Author

Listed:
  • Nicoleta Gabriela Ştefan

    (Department of Chemical and Biochemical Engineering, University POLITEHNICA of Bucharest, 1 Polizu Street, 011061 Bucharest, Romania)

  • Petrica Iancu

    (Department of Chemical and Biochemical Engineering, University POLITEHNICA of Bucharest, 1 Polizu Street, 011061 Bucharest, Romania)

  • Valentin Pleșu

    (Department of Chemical and Biochemical Engineering, University POLITEHNICA of Bucharest, 1 Polizu Street, 011061 Bucharest, Romania)

  • Ioan Călinescu

    (Department of Bioresources and Polymer Science, University POLITEHNICA of Bucharest, 1 Polizu Street, 011061 Bucharest, Romania)

  • Nicoleta Daniela Ignat

    (Department of Economical Engineering, University POLITEHNICA of Bucharest, 313 Splaiul Independentei Street, 060042 Bucharest, Romania)

Abstract

Recovery and reuse of high-acidity vegetable oil waste (higher content of free fatty acids) is a major concern for reducing their effect on the environment. Moreover, the conventional deacidification processes are known to show drawbacks, such as oil losses or higher costs of wastewater treatment, for which it requires great attention, especially at the industrial scale. This work presents the design of a highly efficient and sustainable process for Camelina sativa oil deacidification by using an ecofriendly method, namely molecular distillation. Experimental studies were performed to identify operating conditions for removing of free fatty acids (FFA) by molecular distillation which involves the oil evaporation in high vacuum conditions. The experimental studies were supported by statistical analysis and technical-economic analysis. Response surface methodology (RSM) was employed to formulate and validate second-order models to predict deacidification efficiency, FFA concentration, and triacylglyceride (TAG) concentration in deodorized oil based on three parameters effects, validated by statistical p -value < 0.05. For a desirability function value of 0.9826, the optimal parameters of evaporator temperature at 173.5 °C, wiper speed at 350 rpm, and feed flowrate at 2 mL/min were selected. The results for process design at optimal conditions (using conventional and molecular distillation methods) showed an efficiency over 92%, a significant reduction in FFA (up to 1%), and an increase in TAG (up to 93%) in refined oil for both methods. From an economical point of view, the deacidification by molecular distillation of Camelina sativa oil is a sustainable process: no wastewater generation, no solvents and water consumption, and lower production costs, obtaining a valuable by-product (FFA).

Suggested Citation

  • Nicoleta Gabriela Ştefan & Petrica Iancu & Valentin Pleșu & Ioan Călinescu & Nicoleta Daniela Ignat, 2021. "Highly Efficient Deacidification Process for Camelina sativa Crude Oil by Molecular Distillation," Sustainability, MDPI, vol. 13(5), pages 1-18, March.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:5:p:2818-:d:511194
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/5/2818/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/5/2818/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jack P. C. Kleijnen, 2015. "Response Surface Methodology," International Series in Operations Research & Management Science, in: Michael C Fu (ed.), Handbook of Simulation Optimization, edition 127, chapter 0, pages 81-104, Springer.
    2. Francesco Barreca & Pasquale Praticò, 2019. "Assessment of Passive Retrofitting Strategies to Improve the Thermal Performance of Extra-Virgin Olive Oil Storage Area in Traditional Rural Olive Mills," Sustainability, MDPI, vol. 12(1), pages 1-11, December.
    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. Shen-Tsu Wang, 2016. "Integrating grey sequencing with the genetic algorithm--immune algorithm to optimise touch panel cover glass polishing process parameter design," International Journal of Production Research, Taylor & Francis Journals, vol. 54(16), pages 4882-4893, August.
    2. Yek, Peter Nai Yuh & Cheng, Yoke Wang & Liew, Rock Keey & Wan Mahari, Wan Adibah & Ong, Hwai Chyuan & Chen, Wei-Hsin & Peng, Wanxi & Park, Young-Kwon & Sonne, Christian & Kong, Sieng Huat & Tabatabaei, 2021. "Progress in the torrefaction technology for upgrading oil palm wastes to energy-dense biochar: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 151(C).
    3. Qin, Caiyan & Kim, Joong Bae & Lee, Bong Jae, 2019. "Performance analysis of a direct-absorption parabolic-trough solar collector using plasmonic nanofluids," Renewable Energy, Elsevier, vol. 143(C), pages 24-33.
    4. Kaushik, Lav Kumar & Muthukumar, P., 2020. "Thermal and economic performance assessments of waste cooking oil /kerosene blend operated pressure cook-stove with porous radiant burner," Energy, Elsevier, vol. 206(C).
    5. Yaman, Hayri & Yesilyurt, Murat Kadir & Uslu, Samet, 2022. "Simultaneous optimization of multiple engine parameters of a 1-heptanol / gasoline fuel blends operated a port-fuel injection spark-ignition engine using response surface methodology approach," Energy, Elsevier, vol. 238(PC).
    6. Visva Bharati Barua & Mariya Munir, 2021. "A Review on Synchronous Microalgal Lipid Enhancement and Wastewater Treatment," Energies, MDPI, vol. 14(22), pages 1-20, November.
    7. Ramos, Ana & Monteiro, Eliseu & Rouboa, Abel, 2019. "Numerical approaches and comprehensive models for gasification process: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 110(C), pages 188-206.
    8. D. M. D. Rasika & Janak K. Vidanarachchi & Selma F. Luiz & Denise Rosane Perdomo Azeredo & Adriano G. Cruz & Chaminda Senaka Ranadheera, 2021. "Probiotic Delivery through Non-Dairy Plant-Based Food Matrices," Agriculture, MDPI, vol. 11(7), pages 1-23, June.
    9. M'Arimi, M.M. & Mecha, C.A. & Kiprop, A.K. & Ramkat, R., 2020. "Recent trends in applications of advanced oxidation processes (AOPs) in bioenergy production: Review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 121(C).
    10. Muhammad, Gul & Potchamyou Ngatcha, Ange Douglas & Lv, Yongkun & Xiong, Wenlong & El-Badry, Yaser A. & Asmatulu, Eylem & Xu, Jingliang & Alam, Md Asraful, 2022. "Enhanced biodiesel production from wet microalgae biomass optimized via response surface methodology and artificial neural network," Renewable Energy, Elsevier, vol. 184(C), pages 753-764.
    11. Renzi, Massimiliano & Bietresato, Marco & Mazzetto, Fabrizio, 2016. "An experimental evaluation of the performance of a SI internal combustion engine for agricultural purposes fuelled with different bioethanol blends," Energy, Elsevier, vol. 115(P1), pages 1069-1080.
    12. Chamberlin Stéphane Azebaze Mboving & Zbigniew Hanzelka & Andrzej Firlit, 2022. "Analysis of the Factors Having an Influence on the LC Passive Harmonic Filter Work Efficiency," Energies, MDPI, vol. 15(5), pages 1-51, March.
    13. Lu Chen & Qincheng Chen & Pinhua Rao & Lili Yan & Alghashm Shakib & Guoqing Shen, 2018. "Formulating and Optimizing a Novel Biochar-Based Fertilizer for Simultaneous Slow-Release of Nitrogen and Immobilization of Cadmium," Sustainability, MDPI, vol. 10(8), pages 1-14, August.
    14. Biranchi Panda & K. Shankhwar & Akhil Garg & M. M. Savalani, 2019. "Evaluation of genetic programming-based models for simulating bead dimensions in wire and arc additive manufacturing," Journal of Intelligent Manufacturing, Springer, vol. 30(2), pages 809-820, February.
    15. Hasheminasab, M. & Kermani, M.J. & Nourazar, S.S. & Khodsiani, M.H., 2020. "A novel experimental based statistical study for water management in proton exchange membrane fuel cells," Applied Energy, Elsevier, vol. 264(C).
    16. Zahedi, Ali Reza & Mirnezami, Seyed Abolfazl, 2020. "Experimental analysis of biomass to biodiesel conversion using a novel renewable combined cycle system," Renewable Energy, Elsevier, vol. 162(C), pages 1177-1194.
    17. Ahmad Abbaszadeh-Mayvan & Barat Ghobadian & Gholamhassan Najafi & Talal Yusaf, 2018. "Intensification of Continuous Biodiesel Production from Waste Cooking Oils Using Shockwave Power Reactor: Process Evaluation and Optimization through Response Surface Methodology (RSM)," Energies, MDPI, vol. 11(10), pages 1-13, October.
    18. Walid Yeddes & Ines Ouerghemmi & Majdi Hammami & Hamza Gadhoumi & Taycir Grati Affes & Salma Nait Mohamed & Wissem Aidi-Wannes & Dorota Witrowa-Rajchert & Moufida Saidani-Tounsi & Małgorzata Nowacka, 2022. "Optimizing the Method of Rosemary Essential Oils Extraction by Using Response Surface Methodology (RSM)-Characterization and Toxicological Assessment," Sustainability, MDPI, vol. 14(7), pages 1-15, March.
    19. Esther Unyime Etim, 2019. "Removal of Methyl Blue Dye from Aqueous Solution by Adsorption unto Ground Nut Waste," Biomedical Journal of Scientific & Technical Research, Biomedical Research Network+, LLC, vol. 15(3), pages 11365-11371, March.
    20. de Oliveira, Lucas Guedes & Aquila, Giancarlo & Balestrassi, Pedro Paulo & de Paiva, Anderson Paulo & de Queiroz, Anderson Rodrigo & de Oliveira Pamplona, Edson & Camatta, Ulisses Pessin, 2020. "Evaluating economic feasibility and maximization of social welfare of photovoltaic projects developed for the Brazilian northeastern coast: An attribute agreement analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 123(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:jsusta:v:13:y:2021:i:5:p:2818-:d:511194. 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.