2020
DOI: 10.1002/bbb.2141
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An optimization framework to identify key management strategies for improving biorefinery performance: a case study of winter barley production

Abstract: The selection of locations and practices for energy crops requires the economics to be planned and the carbon intensity of the fuel to be assessed. This study develops a framework for selecting near-optimal cropland sites to minimize the cost to produce a targeted quantity of an energy crop, considering soil properties, fertilizer management, and spatio-temporal trends in crop yield and soil emissions. DayCent, a biogeochemical model, simulates site-level crop yield, and soil emissions. As a case study, this f… Show more

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Cited by 3 publications
(1 citation statement)
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“…This imitation could be improved with better location-specific data on biomass decay and soil carbon change and sequestration for climate conditions in the Northeastern United States. Further analysis of parameter uncertainties in the time-dependent RF model could also consider an optimization approach to select low GHG emitting biomass feedstocks (Field et al, 2018;Kar et al, 2020). If combined with multi-objective optimization, such an approach can optimize space heating alternatives while considering temporal variations in soil properties, feedstock availability, and changes in temporal heat demand while using biomass feedstocks to mitigate atmospheric CO 2 .…”
Section: Discussionmentioning
confidence: 99%
“…This imitation could be improved with better location-specific data on biomass decay and soil carbon change and sequestration for climate conditions in the Northeastern United States. Further analysis of parameter uncertainties in the time-dependent RF model could also consider an optimization approach to select low GHG emitting biomass feedstocks (Field et al, 2018;Kar et al, 2020). If combined with multi-objective optimization, such an approach can optimize space heating alternatives while considering temporal variations in soil properties, feedstock availability, and changes in temporal heat demand while using biomass feedstocks to mitigate atmospheric CO 2 .…”
Section: Discussionmentioning
confidence: 99%