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Environmental Decision Support System for Biogas Upgrading to Feasible Fuel

Author

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  • Eric Santos-Clotas

    (LEQUIA, Institute of Environment, University of Girona, Maria Aurèlia Capmany, 69. Campus Montilivi, Girona, E17003 Catalonia, Spain)

  • Alba Cabrera-Codony

    (LEQUIA, Institute of Environment, University of Girona, Maria Aurèlia Capmany, 69. Campus Montilivi, Girona, E17003 Catalonia, Spain)

  • Alba Castillo

    (LEQUIA, Institute of Environment, University of Girona, Maria Aurèlia Capmany, 69. Campus Montilivi, Girona, E17003 Catalonia, Spain)

  • Maria J. Martín

    (LEQUIA, Institute of Environment, University of Girona, Maria Aurèlia Capmany, 69. Campus Montilivi, Girona, E17003 Catalonia, Spain)

  • Manel Poch

    (LEQUIA, Institute of Environment, University of Girona, Maria Aurèlia Capmany, 69. Campus Montilivi, Girona, E17003 Catalonia, Spain)

  • Hèctor Monclús

    (LEQUIA, Institute of Environment, University of Girona, Maria Aurèlia Capmany, 69. Campus Montilivi, Girona, E17003 Catalonia, Spain)

Abstract

Biogas production is a growing market and the existing conversion technologies require different biogas quality and characteristics. In pursuance of assisting decision-makers in biogas upgrading an environmental decision support system (EDSS) was developed. Since the field is rapidly progressing, this tool is easily updatable with new data from technical and scientific literature through the knowledge acquisition level. By a thorough technology review, the diagnosis level evaluates a wide spectrum of technologies for eliminating siloxanes, H 2 S, and CO 2 from biogas, which are scored in a supervision level based upon environmental, economic, social and technical criteria. The sensitivity of the user towards those criteria is regarded by the EDSS giving a response based on its preferences. The EDSS was validated with data from a case-study for removing siloxanes from biogas in a sewage plant. The tool described the flow diagram of treatment alternatives and estimated the performance and effluent quality, which matched the treatment currently given in the facility. Adsorption onto activated carbon was the best-ranked technology due to its great efficiency and maturity as a commercial technology. On the other hand, biological technologies obtained high scores when economic and environmental criteria were preferred. The sensitivity analysis proved to be effective allowing the identification of the challenges and opportunities for the technologies considered.

Suggested Citation

  • Eric Santos-Clotas & Alba Cabrera-Codony & Alba Castillo & Maria J. Martín & Manel Poch & Hèctor Monclús, 2019. "Environmental Decision Support System for Biogas Upgrading to Feasible Fuel," Energies, MDPI, vol. 12(8), pages 1-14, April.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:8:p:1546-:d:225523
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    References listed on IDEAS

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    Cited by:

    1. Krzysztof Gaska & Agnieszka Generowicz, 2020. "SMART Computational Solutions for the Optimization of Selected Technology Processes as an Innovation and Progress in Improving Energy Efficiency of Smart Cities—A Case Study," Energies, MDPI, vol. 13(13), pages 1-41, June.
    2. Adrian Knapczyk & Sławomir Francik & Marcin Jewiarz & Agnieszka Zawiślak & Renata Francik, 2020. "Thermal Treatment of Biomass: A Bibliometric Analysis—The Torrefaction Case," Energies, MDPI, vol. 14(1), pages 1-31, December.
    3. Achinas, Spyridon & Willem Euverink, Gerrit Jan, 2020. "Rambling facets of manure-based biogas production in Europe: A briefing," Renewable and Sustainable Energy Reviews, Elsevier, vol. 119(C).
    4. Santos-Clotas, Eric & Cabrera-Codony, Alba & Martín, Maria J., 2020. "Coupling adsorption with biotechnologies for siloxane abatement from biogas," Renewable Energy, Elsevier, vol. 153(C), pages 314-323.
    5. David Palma-Heredia & Manel Poch & Miquel À. Cugueró-Escofet, 2020. "Implementation of a Decision Support System for Sewage Sludge Management," Sustainability, MDPI, vol. 12(21), pages 1-18, October.

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