Improvements in quantification of biomass feedstock availability to a biorefinery using a GIS-based method

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dc.contributor.author Martinez, Adrian
dc.contributor.author Maier, Dirk E.
dc.date.accessioned 2014-06-24T21:16:55Z
dc.date.available 2014-06-24T21:16:55Z
dc.date.issued 2014-06-24
dc.identifier.uri http://hdl.handle.net/2097/17882
dc.description.abstract The feasibility of utilizing cellulosic biomass such as corn stover as an energy feedstock is dominated by factors such as facility location, feedstock availability, and transportation cost. Previous research showed the advantages of using a GIS-based method compared to a previously used concentric ring buffer method. Even though the GIS-based method proved to be more accurate because it precisely calculates the distance from the facility to the farms using a real road network and the hectares of crop-specific fields in a given service area, opportunities exist to further improve its accuracy. In this case study, two improvement parameters were implemented to the previously proposed GIS-based method to examine the effect of field-level yield variance and variable residue removal rates on the quantification of feedstock availability for a biorefinery. The new variable residue removal (VRR) method predicted on average 113,384 ±38,770 dry tons (DT) of additional residue per service area compared to the previous constant residue removal (CRR) method. The use of a constant removal rate of 3 DT acˉ¹ in the CRR method clearly underestimated feedstock availability, given that residue removal rates are highly variable and subject to location, erosive forces, soil characteristics, crop type, yield, and field management. However, to prevent soil erosion and maintain soil productivity, conservation tillage practices require that at least 30% of the soil surface must be covered with residue after planting the next crop. Even with a reduction in total feedstock availability, the VRR method estimated comparable residue availability per service area to the CRR method, with only a 4 ±6% decrease per service area on average. Consequently, the VRR method turned out to be the preferred approach in the quantification of biomass feedstock availability. en_US
dc.language.iso en_US en_US
dc.relation.uri http://elibrary.asabe.org/azdez.asp?JID=3&AID=44339&CID=t2014&v=57&i=2&T=1&refer=7&access=&dabs=Y en_US
dc.rights © 2014 American Society of Agricultural and Biological Engineers en_US
dc.subject Biomass en_US
dc.subject Feedstock availability en_US
dc.subject Geospatial image system (GIS) en_US
dc.subject Transportation logistics en_US
dc.title Improvements in quantification of biomass feedstock availability to a biorefinery using a GIS-based method en_US
dc.type Article (publisher version) en_US
dc.date.published 2014 en_US
dc.citation.doi doi:10.13031/trans.57.10171 en_US
dc.citation.epage 542 en_US
dc.citation.issue 2 en_US
dc.citation.jtitle Transactions of the ASABE en_US
dc.citation.spage 533 en_US
dc.citation.volume 57 en_US
dc.contributor.authoreid dmaier en_US


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