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Comparison of Life‐Cycle Inventory Databases

A Case Study Using Soybean Production

Bibliographic Data

ID19466831
AuthorsShelie A Miller (0000-0003-0379-3993, University of Illinois Chicago, corresponding author), Thomas L Theis (0000-0003-0924-4661, The King's College)
Year2006
Volume10
Issue1-2
Pages133-147
Publication date2006-01-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Industrial Ecology (JOURNAL)
Journal identifiersISSN: 1088-1980 • E-ISSN: 1530-9290
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1162/108819806775545358
OpenAlexW2043060374
LanguageEN
Citations received4
References cited22

Three established life‐cycle inventories of agricultural operations were used to generate air emissions data for soybean production: the greenhouse gases, regulated emissions, and energy use in transportation (GREET) model; the economic input‐output life‐cycle assessment (EIO‐LCA) model; and SimaPro software equipped with the Franklin database. EIO‐LCA and GREET baseline data were compared to evaluate differences in boundary definitions that apply specifically to U.S. soybean agriculture and processing, which resulted in several major findings. The EIO model estimated for emissions of particulate matter less than 10 micrograms (PM10) resulting from wind erosion that were not included in GREET, but neglected indirect nitrous oxide (N2O) and nitrogen oxides (NOx) emissions from fertilizer application. EIO also assumed significantly lower process energy requirements and lower volatile organic compounds (VOC) for soybean crushing and oil extraction. The GREET and SimaPro models were compared using identical boundary and assumption data, to reveal major discrepancies in fundamental assumptions of energy inventories. Key emission factors varied by several orders of magnitude for basic energy generation and combustion processes, potentially impacting results for any inventory analysis that contains significant energy consumption. The Franklin database assumed VOC and sulfur oxides (SOx) emissions more than an order of magnitude higher than GREET for all categories investigated, with significantly lower N2O and methane (CH4) emission factors

Database · Economics · Greenhouse gas · Inventory analysis · Life cycle inventory · Life-cycle assessment · Waste management · Computer Science · Energy, Environment, and Transportation Policies · Engineering · Environmental Impact and Sustainability · Environmental Science · Vehicle emissions and performance

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Unique citing works4
Citations per year0.29
Citation span2012 - 2022 (11)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 4

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