IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i7p3259-d1116543.html
   My bibliography  Save this article

Anaerobic Digestion of Olive Mill Wastewater in the Presence of Biochar

Author

Listed:
  • Luca Micoli

    (Dipartimento di Ingegneria Industriale (DII), Università degli Studi di Napoli Federico II, piazzale V. Tecchio 80, 80125 Napoli, Italy)

  • Giuseppe Di Rauso Simeone

    (Dipartimento di Agraria, Università degli Studi di Napoli Federico II, via Università 100, 80055 Portici, Italy)

  • Maria Turco

    (Dipartimento di Ingegneria Chimica, dei Materiali e della Produzione Industriale (DICMaPI), Università degli Studi di Napoli Federico II, piazzale V. Tecchio 80, 80125 Napoli, Italy)

  • Giuseppe Toscano

    (Dipartimento di Ingegneria Chimica, dei Materiali e della Produzione Industriale (DICMaPI), Università degli Studi di Napoli Federico II, piazzale V. Tecchio 80, 80125 Napoli, Italy)

  • Maria A. Rao

    (Dipartimento di Agraria, Università degli Studi di Napoli Federico II, via Università 100, 80055 Portici, Italy)

Abstract

Biological treatments focused on stabilizing and detoxifying olive mill wastewater facilitate agronomic reuse for irrigation and fertilization. Anaerobic digestion is particularly attractive in view of energy recovery, but is severely hampered by the microbial toxicity of olive mill wastewater. In this work, the addition of biochar to the digestion mixture was studied to improve the stability and efficiency of the anaerobic process. Kinetics and yields of biogas production were evaluated in batch digestion tests with biochar concentrations ranging from 0 to 45 g L −1 . The addition of biochar reduced sensibly the lag phase for methanogenesis and increased the maximum rate of biogas generation. Final yields of hydrogen and methane were not affected. Upon addition of biochar, soluble COD removal increased from 66% up to 84%, and phenolics removal increased from 50% up to 95%. Digestate phytotoxicity, as measured by seed germination tests, was reduced compared to raw wastewater. Addition of biochar further reduced phytotoxicity and, furthermore, a stimulatory effect was observed for a twenty-fold dilution. In conclusion, biochar addition enhances the anaerobic digestion of olive mill wastewaters by effectively reducing methanogenesis inhibition and digestate phytotoxicity, thus improving energy and biomass recovery.

Suggested Citation

  • Luca Micoli & Giuseppe Di Rauso Simeone & Maria Turco & Giuseppe Toscano & Maria A. Rao, 2023. "Anaerobic Digestion of Olive Mill Wastewater in the Presence of Biochar," Energies, MDPI, vol. 16(7), pages 1-14, April.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:7:p:3259-:d:1116543
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/7/3259/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/16/7/3259/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Baty, Florent & Ritz, Christian & Charles, Sandrine & Brutsche, Martin & Flandrois, Jean-Pierre & Delignette-Muller, Marie-Laure, 2015. "A Toolbox for Nonlinear Regression in R: The Package nlstools," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 66(i05).
    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. Gayathri Priya Iragavarapu & Syed Shahed Imam & Omprakash Sarkar & Srinivasula Venkata Mohan & Young-Cheol Chang & Motakatla Venkateswar Reddy & Sang-Hyoun Kim & Naresh Kumar Amradi, 2023. "Bioprocessing of Waste for Renewable Chemicals and Fuels to Promote Bioeconomy," Energies, MDPI, vol. 16(9), pages 1-24, May.

    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. Tilman Schmider & Anne Grethe Hestnes & Julia Brzykcy & Hannes Schmidt & Arno Schintlmeister & Benjamin R. K. Roller & Ezequiel Jesús Teran & Andrea Söllinger & Oliver Schmidt & Martin F. Polz & Andre, 2024. "Physiological basis for atmospheric methane oxidation and methanotrophic growth on air," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
    2. Mario Gallego-Abenza & Nicolas Mathevon & David Wheatcroft & Ulrika Candolin, 2020. "Experience modulates an insect’s response to anthropogenic noise," Behavioral Ecology, International Society for Behavioral Ecology, vol. 31(1), pages 90-96.
    3. S. Mahmuda & T. Sigler & E. Knight & J. Corcoran, 2020. "Sectoral evolution and shifting service delivery models in the sharing economy," Business Research, Springer;German Academic Association for Business Research, vol. 13(2), pages 663-684, July.
    4. Aysan Badraghi & Beáta Novotná & Jan Frouz & Koloman Krištof & Martin Trakovický & Martin Juriga & Branislav Chvila & Leonardo Montagnani, 2023. "Temporal Dynamics of CO 2 Fluxes over a Non-Irrigated Vineyard," Land, MDPI, vol. 12(10), pages 1-16, October.
    5. Taufan Alam & Priyono Suryanto & Nanang Susyanto & Budiastuti Kurniasih & Panjisakti Basunanda & Eka Tarwaca Susila Putra & Dody Kastono & Dyah Weny Respatie & Muhammad Habib Widyawan & Nurmansyah & A, 2022. "Performance of 45 Non-Linear Models for Determining Critical Period of Weed Control and Acceptable Yield Loss in Soybean Agroforestry Systems," Sustainability, MDPI, vol. 14(13), pages 1-19, June.
    6. Duarte, Belmiro P.M. & Atkinson, Anthony C. & Oliveira, Nuno M.C., 2023. "Optimum design for ill-conditioned models: K–optimality and stable parameterizations," LSE Research Online Documents on Economics 122986, London School of Economics and Political Science, LSE Library.
    7. Hirche, Martin & Greenacre, Luke & Nenycz-Thiel, Magda & Loose, Simone & Lockshin, Larry, 2021. "SKU performance and distribution: A large-scale analysis of the role of product characteristics with store scanner data," Journal of Retailing and Consumer Services, Elsevier, vol. 61(C).
    8. Divino, Jose Angelo & Maciel, Daniel T.G.N. & Sosa, Wilfredo, 2020. "Government size, composition of public spending and economic growth in Brazil," Economic Modelling, Elsevier, vol. 91(C), pages 155-166.
    9. Diana Carolina Rodríguez-Abello & Jorge Augusto Navarro-Alberto & Luis Ramírez-Avilés & Roberto Zamora-Bustillos, 2018. "The effect of sowing time on the growth of chia (Salvia hispanica L.): What do nonlinear mixed models tell us about it?," PLOS ONE, Public Library of Science, vol. 13(11), pages 1-14, November.
    10. Mathilde, Godefroid & Tom, Zeimes & Lorenzo, Bramanti & Pascal, Romans & Marzia, Bo & Margherita, Toma & Bruno, Danis & Philippe, Dubois & Charlène, Guillaumot, 2023. "Low vulnerability of the Mediterranean antipatharian Antipathella subpinnata (Ellis & Solander, 1786) to ocean warming," Ecological Modelling, Elsevier, vol. 475(C).
    11. Justin D. Gay & Bryce Currey & E. N. J. Brookshire, 2022. "Global distribution and climate sensitivity of the tropical montane forest nitrogen cycle," Nature Communications, Nature, vol. 13(1), pages 1-8, December.
    12. Zhiqiang Wang & Heng Huang & Han Wang & Josep Peñuelas & Jordi Sardans & Ülo Niinemets & Karl J. Niklas & Yan Li & Jiangbo Xie & Ian J. Wright, 2022. "Leaf water content contributes to global leaf trait relationships," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    13. Yani Bao & Wai Ling Lee & Jie Jia, 2018. "Exergy Analyses and Modelling of a Novel Extra-Low Temperature Dedicated Outdoor Air System," Energies, MDPI, vol. 11(5), pages 1-25, May.
    14. Hirche, Martin & Farris, Paul W. & Greenacre, Luke & Quan, Yiran & Wei, Susan, 2021. "Predicting Under- and Overperforming SKUs within the Distribution–Market Share Relationship," Journal of Retailing, Elsevier, vol. 97(4), pages 697-714.
    15. Laura Scherer & İrem Gürdal & Peter M. van Bodegom, 2022. "Characterization factors for ocean acidification impacts on marine biodiversity," Journal of Industrial Ecology, Yale University, vol. 26(6), pages 2069-2079, December.
    16. Remigio Paradelo & Paula García & Alba González & Khaled Al-Zawahreh & Maria Teresa Barral, 2023. "Influence of Zinc and Humic Acids on Dye Adsorption from Water by Two Composts," IJERPH, MDPI, vol. 20(7), pages 1-10, March.
    17. Gerard Morales & Isidre Llorente & Emilio Montesinos & Concepció Moragrega, 2017. "A model for predicting Xanthomonas arboricola pv. pruni growth as a function of temperature," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-18, May.
    18. Christian Ritz & Florent Baty & Jens C Streibig & Daniel Gerhard, 2015. "Dose-Response Analysis Using R," PLOS ONE, Public Library of Science, vol. 10(12), pages 1-13, December.

    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:16:y:2023:i:7:p:3259-:d:1116543. 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.