• DocumentCode
    2283110
  • Title

    Renewable hybrid systems using biogas fuzzy multi-sets and fuzzy multi-rules

  • Author

    Barin, Alexandre ; Canha, Luciane ; Abaide, Alzenira ; Magnago, Karine ; Wottrich, Breno

  • Author_Institution
    Fed. Univ. of Santa Maria, Santa Maria, Brazil
  • fYear
    2009
  • fDate
    20-24 Sept. 2009
  • Firstpage
    1180
  • Lastpage
    1184
  • Abstract
    In response to the escalating energy crisis and related pollution problems verified worldwide, it is essential to assume new energy technologies that use renewable energy sources in an efficient and environmentally friendly manner. Accordingly, biomass appears as a renewable, clean, and widely available source. This paper focuses in biogas production from livestock manure by using anaerobic digesters to decompose the manure in a controlled way. This paper uses fuzzy multi-rules and fuzzy multi-sets to evaluate the main characteristics of the operation of renewable sources fuelled by biogas. Besides, this methodology will be also applied in storage energy technologies in order to find the most appropriate renewable hybrid system fuelled by biogas. Several parameters will be used for the investigation, namely: environmental impacts, efficiency, costs, lifecycle, technical maturity, power application range, cogeneration and operational temperature. Subsequently, the methodology will consider costs and environment scenarios.
  • Keywords
    biofuel; cogeneration; energy storage; environmental factors; fuzzy set theory; renewable energy sources; anaerobic digesters; biogas fuzzy multisets; biogas production; cogeneration; environmental impacts; operational temperature; power application range; renewable energy sources; renewable hybrid systems; storage energy technologies; technical maturity; biogas; fuzzy multi-rules and fuzzy multi-sets; renewable hybrid systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Energy Conversion Congress and Exposition, 2009. ECCE 2009. IEEE
  • Conference_Location
    San Jose, CA
  • Print_ISBN
    978-1-4244-2893-9
  • Electronic_ISBN
    978-1-4244-2893-9
  • Type

    conf

  • DOI
    10.1109/ECCE.2009.5316563
  • Filename
    5316563