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Wastewater Treatment and Biogas Production: Innovative Technologies, Research and Development Directions

Author

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  • Marcin Dębowski

    (Department of Environmental Engineering, Faculty of Geoengineering, University of Warmia and Mazury in Olsztyn, 10-720 Olsztyn, Poland)

  • Marcin Zieliński

    (Department of Environmental Engineering, Faculty of Geoengineering, University of Warmia and Mazury in Olsztyn, 10-720 Olsztyn, Poland)

Abstract

The development of wastewater treatment methods and the processing of sewage sludge is associated with the search for new, efficient and technologically justified solutions, the use of which will be an alternative to the systems used thus far [...]

Suggested Citation

  • Marcin Dębowski & Marcin Zieliński, 2022. "Wastewater Treatment and Biogas Production: Innovative Technologies, Research and Development Directions," Energies, MDPI, vol. 15(6), pages 1-4, March.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:6:p:2122-:d:770887
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    References listed on IDEAS

    as
    1. Radosław Żyłka & Wojciech Dąbrowski & Paweł Malinowski & Beata Karolinczak, 2020. "Modeling of Electric Energy Consumption during Dairy Wastewater Treatment Plant Operation," Energies, MDPI, vol. 13(15), pages 1-14, July.
    2. Marcin Zieliński & Marcin Dębowski & Joanna Kazimierowicz, 2021. "The Effect of Static Magnetic Field on Methanogenesis in the Anaerobic Digestion of Municipal Sewage Sludge," Energies, MDPI, vol. 14(3), pages 1-16, January.
    3. Iwona Zawieja & Małgorzata Worwąg, 2021. "Biogas Production from Excess Sludge Oxidized with Peracetic Acid (PAA)," Energies, MDPI, vol. 14(12), pages 1-17, June.
    4. Ashton B. Mpofu & Victoria A. Kibangou & Walusungu M. Kaira & Oluwaseun O. Oyekola & Pamela J. Welz, 2021. "Anaerobic Co-Digestion of Tannery and Slaughterhouse Wastewater for Solids Reduction and Resource Recovery: Effect of Sulfate Concentration and Inoculum to Substrate Ratio," Energies, MDPI, vol. 14(9), pages 1-19, April.
    5. Mariusz Kowalczyk & Tomasz Kamizela, 2021. "Artificial Neural Networks in Modeling of Dewaterability of Sewage Sludge," Energies, MDPI, vol. 14(6), pages 1-16, March.
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