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
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